43 agents
Give it your experimental results and get back a conference-format paper draft, covering experiment design, ablations, related work, and references. ## What it does - **Conference-format drafts:** results shaped into a paper in the expected structure - **Experiment & ablation sections:** methodology and ablations written from your data - **Related work:** prior art positioned around your contribution - **References:** citations formatted to the venue ## Where it fits - **A grad student writing up:** "Draft the methods and ablations from these results." Sections ready to edit. - **A researcher prepping a submission:** "Structure this into a conference paper." A formatted draft to refine. - **A team racing a deadline:** "Write the related-work section around these citations." A positioned draft to tighten. ## How it works 1. **Give it your results:** data, settings, and the contribution. 2. **It drafts the paper:** structure, ablations, related work, and references. 3. **You get a draft back:** conference-format sections to edit and submit. Built for graduate students and researchers. Every draft is yours to verify, edit, and stand behind.
Describe a system, a relationship, or a dataset, and get back a clean architecture diagram, flowchart, or ER diagram as SVG or PNG, ready to drop into docs or slides. ## What it does - **Architecture diagrams:** services, data stores, and the connections between them laid out clearly - **Flowcharts & process maps:** a described workflow turned into a readable top-down or left-to-right flow - **ER diagrams:** a schema or table description rendered as entities, keys, and relationships - **Export:** every diagram as SVG or PNG, ready for docs, wikis, or slides ## Where it fits - **An engineer writing a design doc:** "Diagram the request path from the gateway through to the database." A clean architecture figure to paste into the RFC. - **A product manager mapping a flow:** "Turn this onboarding sequence into a flowchart." A shareable diagram for the spec. - **A backend dev documenting a schema:** "Draw the ER diagram for these five tables." Entities and relationships ready for the wiki. ## How it works 1. **Describe it in words:** a system, a process, or a set of tables. 2. **It picks the diagram type:** architecture, flowchart, or ER, with a clean layout. 3. **You get a file back:** SVG or PNG to drop straight into docs or a deck. Built for engineers and product managers visualizing system design. Every diagram is a draft you can refine and re-export.
Give it a topic or an outline and get back a polished HTML slide deck you can present straight from the browser. ## What it does - **Topic to deck:** a subject or outline expanded into a structured, presentable slide set - **Clean front-end design:** typography, spacing, and layout handled, no template wrestling - **Browser-native:** present directly from the browser, no export step - **Editable:** plain HTML you can tweak slide by slide ## Where it fits - **A developer prepping a tech talk:** "Build a 12-slide deck on our API design." A presentable deck to refine before the talk. - **A founder pitching:** "Turn this outline into slides." A clean deck ready for the room. - **A teacher building a lesson:** "Make slides explaining recursion with examples." A structured set to present from the browser. ## How it works 1. **Give it a topic or outline:** a subject or a bullet list. 2. **It builds the deck:** structured slides with consistent design. 3. **You get HTML back:** present from the browser or edit slide by slide. Built for tech talks and product demos. Every deck is a draft you can reorder and restyle.
Give it a website or piece of content and get back an AEO/GEO report that helps your pages surface inside AI search engines like ChatGPT and Perplexity. ## What it does - **AEO/GEO audit:** your content evaluated for AI-engine citation readiness - **Optimization report:** specific edits to make the page more likely to be cited - **AI search check:** likelihood of appearing in ChatGPT, Perplexity, and AI Overviews - **Actionable output:** a prioritized list of changes, not just a score ## Where it fits - **A content lead chasing AI citations:** "Audit this guide for GEO readiness." A report on gaps plus what to change. - **A marketer optimizing key pages:** "How do we show up in AI answers for this topic?" An edit list to act on. - **An SEO adapting to AI:** "Score our top pages for AI search." A coverage report with fixes. ## How it works 1. **Give it a URL or content:** a page, article, or site section. 2. **It runs the audit:** AEO/GEO checks against how AI search engines read and cite content. 3. **You get a report back:** visibility findings plus specific edits to apply. Built for content and SEO teams optimizing for AI search. Every report is a set of recommendations for you to review and apply.
Describe a technical relationship and get back a production-grade diagram as SVG or PNG, in your pick of 7 styles including UML. ## What it does - **Technical diagrams:** components, flows, and relationships rendered at publication quality - **UML support:** class, sequence, and component diagrams from a plain description - **7 visual styles:** pick the look that fits your paper, doc, or deck - **Export:** clean SVG or PNG, sized for figures and slides ## Where it fits - **A researcher preparing a figure:** "Draw the model architecture as a UML component diagram." A paper-ready figure in your chosen style. - **An architect documenting a system:** "Show the service interactions as a sequence diagram." A clean SVG for the design doc. - **A writer polishing a deck:** "Render this flow in a minimal style." A diagram that matches the slide template. ## How it works 1. **Describe the relationship:** components, a sequence, or a class structure. 2. **Pick a style:** one of 7, including UML conventions. 3. **You get a file back:** SVG or PNG, ready for the paper or deck. Built for technical documentation and paper figures. Every diagram is a draft you can restyle and re-export.
Give it your research direction and existing materials and get back first drafts of each paper section, formatted with citations. ## What it does - **Section drafts:** intro, methods, results, and discussion drafted from your materials - **Citation formatting:** references handled in the expected style - **Academic structure:** the conventional shape of a paper applied - **Material-grounded:** built from the notes and sources you provide ## Where it fits - **A grad student facing a blank page:** "Draft the introduction from my notes." A section to edit instead of start. - **A researcher organizing:** "Turn these results into a methods and results section." Structured drafts to refine. - **A writer formatting:** "Format these references and weave them in." Clean citations in place. ## How it works 1. **Give it your direction and materials:** the topic plus notes and sources. 2. **It drafts section by section:** structured academic prose with citations. 3. **You get drafts back:** sections to verify, edit, and assemble. Built for graduate students and researchers. Every draft is yours to fact-check, edit, and stand behind.
Point it at a code repository and get back an interactive online course with exercises. ## What it does - **Repo to curriculum:** a codebase turned into a structured learning path - **Interactive pages:** lessons you click through, not a static README - **Hands-on exercises:** tasks tied to the actual code - **Teaching-ready:** output you can publish or assign ## Where it fits - **An open-source maintainer:** "Turn our repo into an onboarding course." A guided path for new contributors. - **An instructor building material:** "Make a course from this example project." Lessons with exercises. - **A team onboarding engineers:** "Teach our codebase interactively." A walkthrough new hires can do. ## How it works 1. **Point it at a repo:** the codebase to teach. 2. **It builds the course:** lessons and exercises mapped to the code. 3. **You get a course back:** interactive pages to publish or assign. Built for open-source teaching and technical training. Generated material is a draft to review before you teach from it.
Your deal team in a box: 10 specialist analysts for investment banking, equity research, private equity, and fund operations. Hand it a deal, a company, or a portfolio, and get back pitch books, models, research notes, and fund reports as analyst-grade drafts, ready for your review. ## What it does - **Pitch books:** comps, precedents, and an LBO assembled into a branded 15 to 20 slide pitch deck (.pptx), client-ready - **Market & sector research:** sector overview, competitive landscape, peer comps, and a shortlist of ideas in a structured HTML or Word brief - **Earnings analysis:** an earnings call plus the latest filings turned into a model update and a desk-ready research-note draft - **Financial modeling:** DCF, LBO, 3-statement, and comps models as working Excel files with live formulas, not hardcoded numbers - **Meeting prep:** a one-page briefing pack on the company, the people, and the open questions before every client meeting - **Fund valuation review:** GP packages reconciled into a valuation template and an LP-ready reporting pack - **GL reconciliation:** accounting breaks found, root cause traced, each item routed for sign-off - **Month-end close:** accruals, roll-forwards, and variance commentary, close-ready - **KYC screening:** onboarding docs parsed, the rules engine run, and compliance gaps flagged with an audit trail ## Where it fits - **A banker prepping a pitch:** "Build comps and an LBO for [target], then drop them into our pitch template." A branded deck in hours, not days. - **An equity research analyst on earnings day:** "Read [company]'s Q3 call and 10-Q, update the model, and draft the note." Model and note ready to edit before the desk opens. - **A PE associate at quarter-end:** "Reconcile these GP statements into our valuation template and prep the LP report." A valuation review plus an LP-ready package. - **A fund accountant at month-end:** "Run the GL reconciliation and write up the variances." Breaks flagged with root cause and commentary. ## How it works 1. **Point it at your inputs:** filings, earnings calls, GP packages, onboarding docs, or just a company name. 2. **It routes to the right agent:** each task maps to a specialist that knows the workflow, the templates, and the checks. 3. **You get a draft back:** Excel models, branded decks, research notes, or reconciliations, structured for a human to review and sign off. Slash commands: `/comps` `/dcf` `/earnings` `/ic-memo` Built for investment banks, equity research desks, PE/VC funds, and wealth-management teams. Every output is an analyst draft for human review. No transactions executed, no ledger posts.
Give it a system, a code diff, or a data table, and get back a shareable HTML page that explains the concept visually. ## What it does - **Visual explainers:** a concept turned into an annotated HTML page with diagrams and callouts - **Diff visualization:** a code change rendered as a clear before/after a non-author can follow - **Data storytelling:** a table or dataset turned into charts and a guided narrative - **Shareable output:** self-contained HTML, client- and doc-ready ## Where it fits - **An engineer briefing stakeholders:** "Explain how our caching layer works for a non-technical audience." A visual page anyone can follow. - **A reviewer walking through a change:** "Visualize this refactor diff for the team." A clear before/after to share in the PR. - **An analyst presenting findings:** "Turn this results table into an explainer." Charts plus narrative on one page. ## How it works 1. **Hand it the material:** a system, a diff, or a data table. 2. **It builds the visual:** diagrams, annotations, or charts with a guided explanation. 3. **You get an HTML page back:** share it as is or refine the layout. Slash commands: `/generate-visual-plan` `/generate-web-diagram` `/generate-slides` `/fact-check` Built for technical docs and client briefings. Every page is a draft you can edit and reshare.
Give it a website URL and get back a multi-dimensional SEO report — technical, content, backlinks, and localization — run by 16 specialist sub-agents in parallel. ## What it does - **Parallel analysis:** 16 sub-agents running simultaneously across SEO dimensions - **Technical SEO:** crawlability, indexing, page speed, and rendering - **Content:** keyword coverage, E-E-A-T signals, and content gaps - **Backlinks & localization:** link profile and multi-market content parity - **Report:** all dimensions compiled into one structured output ## Where it fits - **An SEO consultant doing a full-site audit:** "Run the full analysis on this domain." A multi-dimensional report fast. - **A dev team pre-launch:** "Check technical SEO before we go live." Speed and crawlability issues flagged. - **A content team expanding:** "What are our content gaps versus competitors?" A gap report to build from. ## How it works 1. **Give it a URL:** the site or section to analyze. 2. **16 sub-agents run in parallel:** each covers a different SEO dimension simultaneously. 3. **You get one consolidated report back:** technical, content, backlinks, and localization findings. Built for SEO professionals and dev teams. Every finding is a recommendation for you to review and apply.
Give it documents or a dataset and get back structured knowledge work: brand and voice guidelines, account plans, and periodic briefs, from a collection of knowledge-work plugins. ## What it does - **Document synthesis:** documents and datasets distilled into structured summaries - **Brand & voice:** guidelines discovered and enforced across your content - **Account plans:** research pulled into a structured plan - **Periodic briefs:** weekly briefs and channel digests assembled for you ## Where it fits - **A consultant onboarding a client:** "Discover their brand voice from these materials." A guideline doc to work from. - **A sales team prepping:** "Generate an account plan for this prospect." A structured plan in one pass. - **A team staying aligned:** "Send me a weekly brief on this channel." A recurring digest. ## How it works 1. **Give it inputs:** documents, a dataset, or a target. 2. **It runs the right plugin:** synthesis, guidelines, planning, or briefing. 3. **You get a structured output back:** a doc ready to review and use. Slash commands: `/discover-brand` `/enforce-voice` `/generate-account-plan` `/weekly-brief` `/channel-digest` Built for consulting, research, and knowledge-intensive teams. Every output is a draft for you to review.
Give it a topic and get back a polished, magazine-style HTML slide deck with horizontal page turns. ## What it does - **Magazine layout:** editorial typography and composition, not stock slide templates - **Horizontal page-turns:** a deck that reads like flipping through a magazine - **Topic to deck:** a subject expanded into a designed set - **Share-ready:** self-contained HTML you can present or send ## Where it fits - **A creator publishing an explainer:** "Turn this topic into a magazine-style deck." A designed set ready to share. - **A knowledge worker presenting:** "Make this report feel editorial." A polished page-turn deck. - **A founder telling a story:** "Lay out our vision as a flip-through." A share-ready narrative. ## How it works 1. **Give it a topic:** a subject or an outline. 2. **It designs the deck:** magazine layout with page-turn flow. 3. **You get HTML back:** present it or send the link. Built for content creators and knowledge sharing. Every deck is a draft you can restyle and re-share.
Give it a target company or contact and get back a prospect profile, BANT score, LinkedIn outreach message, and email sequence — for B2B sales teams. ## What it does - **Prospect profiles:** company overview, decision-makers, and buying signals surfaced - **BANT scoring:** budget, authority, need, and timeline evaluated for each target - **LinkedIn messages:** personalised outreach copy ready to send - **Email sequences:** multi-step follow-up sequences tailored to the prospect ## Where it fits - **An AE prepping for an outbound push:** "Research these 10 accounts and score them." Profiles and BANT scores to prioritise the list. - **An SDR writing outreach:** "Write a LinkedIn message and email sequence for this contact." Personalised copy to send. - **A sales lead building a target list:** "Who are the decision-makers at this company?" A profile with names, roles, and entry points. ## How it works 1. **Give it a target:** a company name, URL, or contact. 2. **It researches and scores:** prospect profile built, BANT evaluated, outreach drafted. 3. **You get a sales package back:** profile, score, and copy ready to use. Built for B2B sales teams. Every output is a draft for you to review before sending.
Give it your brand info and get back SEO reports, ad copy, email sequences, and social content — 15 marketing skills and parallel sub-agents in one workflow. ## What it does - **SEO content:** keyword research, on-page recommendations, and content briefs - **Ad copy:** headline and body variants for search and social campaigns - **Email sequences:** onboarding, nurture, and re-engagement drafts - **Social content:** post copy across platforms, tailored to format and tone - **One workflow:** 15 skills coordinated so the outputs connect rather than conflict ## Where it fits - **A startup without a marketing team:** "Generate launch content for our product." Ads, emails, and social in one pass. - **An agency onboarding a client:** "Run the full marketing content package for this brand." Everything briefed and drafted. - **A marketer scaling output:** "Fill next month's content calendar." Posts, emails, and ads from one brief. ## How it works 1. **Give it your brand info:** product, audience, and goals. 2. **The suite runs the workflow:** 15 parallel skills producing SEO, copy, emails, and social. 3. **You get a content package back:** drafts to review, edit, and publish. Built for marketers and agencies. Every output is a draft for you to review and adapt.
Transform raw podcast transcripts into polished, SEO-optimized blog posts in multiple formats (listicle, how-to guide, narrative, interview, expert breakdown). The agent takes a transcript file, determines the optimal style (or accepts user
Give it a research direction and get back a literature review, paper draft, and formatted references, covering the full path from survey to submission. ## What it does - **Literature review:** the field surveyed and summarized - **Paper drafting:** sections written toward a submission - **Reference formatting:** citations checked and formatted to the venue - **End-to-end:** the path from survey to submission in one workflow ## Where it fits - **A researcher starting out:** "Survey the literature on this topic." A review to ground the project. - **A student writing up:** "Draft the paper and format the references." Sections plus clean citations. - **A team near a deadline:** "Check our citations and tighten the draft." A submission-ready pass. ## How it works 1. **Give it a direction:** the research topic. 2. **It runs the workflow:** review, drafting, and references. 3. **You get outputs back:** a literature review and a formatted draft to refine. Slash commands: `/ars-full` `/ars-citation-check` `/ars-abstract` `/ars-format-convert` Built for the full research-to-submission workflow. Every draft is yours to verify and stand behind.
Upload your resume and describe the role you are applying for, and get back an optimised version with targeted rewrites, gap analysis, and a tailored cover letter. ## What it does - **Targeted rewrites:** bullet points and summaries reworked to match the job description - **Gap analysis:** skills or experience missing for the role flagged with suggestions - **ATS optimisation:** keywords added and formatting adjusted for applicant tracking systems - **Cover letter:** a tailored draft aligned to the role and your background ## Where it fits - **A job seeker applying to a specific role:** "Optimise my resume for this job description." A rewritten version with the right keywords. - **A career switcher repositioning:** "I'm moving from engineering to product. Fix my resume." A reframed version that leads with relevant experience. - **Someone updating after a gap:** "Update this resume to reflect my recent work." A current, polished draft to review. ## How it works 1. **Upload your resume and the job description:** the raw material and the target. 2. **It rewrites and analyses:** targeted edits, gap flags, and a cover letter drafted. 3. **You get an optimised package back:** resume and cover letter to review and customise. Built for job seekers and career changers. Every output is a draft for you to review before submitting.
Describe your product and market and get back GTM strategy docs, ICP analysis, pricing guidance, and channel priorities — for startup teams and PMMs. ## What it does - **GTM strategy docs:** a go-to-market plan structured for your stage and motion - **ICP analysis:** ideal customer profile built from your product and market inputs - **Pricing guidance:** positioning and pricing frameworks grounded in your segment - **Channel priorities:** where to focus first and why, ranked by fit ## Where it fits - **A founder launching a product:** "Build a GTM plan for our B2B SaaS." A structured launch strategy to execute. - **A PMM scoping a new market:** "Who is our ICP in this segment?" A profiled ICP with signals and channels. - **A startup refining pricing:** "How should we think about our pricing tiers?" A framework grounded in the market. ## How it works 1. **Describe your product and market:** what you sell, who buys it, and where you are. 2. **It runs the GTM workflow:** strategy, ICP, pricing, and channels. 3. **You get a structured package back:** docs and guidance to refine and execute. Built for startup teams and product marketers. Every output is a draft for you to validate with your market.
Describe your goal and get back a precise prompt tuned for the AI tool you are using, with no extra token overhead. ## What it does - **Goal to prompt:** a plain description turned into a structured, effective prompt - **Tool-specific tuning:** phrasing adapted to the model or tool you name - **Lean output:** no padding, so you pay no extra token cost - **Reusable:** prompts you can save and adapt ## Where it fits - **A power user refining a workflow:** "Write a prompt that extracts action items from meeting notes." A tuned prompt ready to reuse. - **A PM standardizing prompts:** "Turn this task into a reliable prompt for our tool." A consistent template for the team. - **A builder debugging output:** "My prompt rambles, tighten it." A leaner version that holds the intent. ## How it works 1. **Describe your goal:** what you want the AI to do. 2. **It engineers the prompt:** structured and tuned for your tool. 3. **You get a prompt back:** ready to paste, save, or adapt. Built for AI power users and product managers. Every prompt is a starting point you can test and refine.
Give it your content or site and get back a GEO analysis report that helps you surface inside AI search engines like ChatGPT and Perplexity. ## What it does - **GEO analysis:** how your content reads to AI search and where it falls short of being cited - **AI-visibility check:** likelihood of appearing in ChatGPT, Perplexity, and AI Overviews answers - **Content recommendations:** concrete edits to make a page more citable - **Report:** findings and fixes in one structured output ## Where it fits - **A content lead chasing citations:** "Why isn't our guide showing up in ChatGPT answers?" A read on the gaps plus what to change. - **A marketer optimizing a page:** "Score this article for AI search and tell me what to fix." A prioritized edit list. - **An SEO adapting to AI:** "Check our top pages for GEO readiness." A coverage report across the set. ## How it works 1. **Point it at content:** a page, an article, or a site. 2. **It analyzes for AI search:** how citable the content is and why. 3. **You get a report back:** visibility findings plus specific edits to apply. Built for teams optimizing for AI search. Every report is a set of recommendations for you to review and apply.
Upload a CSV or Excel file, describe what you want to learn, and get back an insights report with charts, narrative, and business recommendations. No code required. ## What it does - **Insight reports:** your data turned into findings, not just tables - **Charts:** the right visualizations chosen for what you asked - **Plain-language narrative:** what the numbers mean, in words - **Recommendations:** concrete business next steps ## Where it fits - **A founder reading sales data:** "What's driving the dip in Q3?" Charts plus a plain-language read. - **A marketer on campaign numbers:** "Which channels actually converted?" A ranked answer with visuals. - **An ops lead on a spreadsheet:** "Find the outliers in this data." Flagged anomalies and what to do. ## How it works 1. **Upload your file:** a CSV or Excel sheet. 2. **Describe the question:** what you want to learn. 3. **You get a report back:** charts, narrative, and recommendations, no code written. Built for anyone who needs analysis without writing code. Every report is a draft for you to sanity-check against your numbers.
Point it at a page or a topic and get back clean structured data as JSON, CSV, or Markdown, from an open-source web data agent. ## What it does - **Structured extraction:** pages turned into clean JSON, CSV, or Markdown - **Topic research:** a question expanded into a multi-page gather - **Monitoring:** track a page or topic for changes over time - **Open source:** a transparent, self-hostable web data agent ## Where it fits - **An analyst building a dataset:** "Pull product names and prices from these listing pages." A clean CSV to work from. - **A researcher scoping a topic:** "Gather the key sources on this subject." Structured notes across pages. - **A team watching a market:** "Monitor this page and flag changes." Alerts when something shifts. ## How it works 1. **Point it at a page or topic:** a URL or a question. 2. **It crawls and structures:** content extracted into your chosen format. 3. **You get data back:** JSON, CSV, or Markdown, ready to use. Built for market research, data collection, and monitoring. Respect each site's terms; the output is data for you to verify and use.
Point it at a pull request and get back an advisory, severity-tagged code review report that helps the author ship a change that improves the overall health of the codebase. ## What it does - **Severity-tagged findings:** issues ranked by impact so reviewers focus on what matters - **Advisory reports:** recommendations the author acts on, not automated rewrites - **Human- and AI-authored code:** works on PRs from both, with awareness of common AI-generated patterns - **Code health framing:** every finding tied to overall system quality, not just the changed lines ## Where it fits - **An engineer reviewing a PR:** "Review this change for quality and correctness." A prioritized report to work through. - **A team gating AI-generated code:** "Flag the issues in this Copilot-generated PR." Severity-ranked findings before merge. - **A lead coaching a junior:** "Give feedback on this PR for the author to learn from." An advisory report that teaches. ## How it works 1. **Point it at a PR:** the diff, the code, or the repository. 2. **It runs the review:** correctness, code health, and advisory-style findings. 3. **You get a severity-tagged report back:** ranked findings for the author to review and address. Built for engineering teams reviewing PRs. Every finding is advisory — the author owns the changes.
Give it your product or site and get back a CRO optimization report, copy drafts, an SEO content strategy, and growth-experiment plans — a full workflow for marketing teams. ## What it does - **CRO audit:** conversion-rate blockers identified with ranked fixes - **Copy drafts:** landing page and ad copy variants ready to test - **SEO content strategy:** a keyword-mapped content plan for organic growth - **Growth experiments:** a prioritized backlog of experiments with hypotheses and metrics ## Where it fits - **A growth lead building a roadmap:** "What experiments should we run next quarter?" A prioritized backlog with rationale. - **A marketer optimizing conversions:** "Find the CRO issues on our pricing page." Blockers ranked with fixes. - **A team planning content:** "Build a content strategy around this topic cluster." A keyword-mapped plan to execute. ## How it works 1. **Give it your product or site:** a URL, a brief, or both. 2. **It runs the workflow:** CRO audit, copy, SEO strategy, and experiment planning. 3. **You get a report and drafts back:** ranked fixes, copy variants, a content plan, and an experiment backlog. Built for growth marketers and product teams. Every output is a draft for you to review and run.
Describe a Google Cloud, Firebase, or Android need and get back code and configuration that follows Google's official standards. ## What it does - **Standards-compliant code:** GCP code written to Google's documented best practices - **Firebase configs:** setup and rules aligned with official guidance - **Android guidance:** code and configuration following platform conventions - **Best-practice defaults:** the recommended way, not just a way that works ## Where it fits - **A developer on GCP:** "Set up a Cloud Run service the recommended way." Code and config to official standards. - **A mobile dev on Firebase:** "Configure Auth and Firestore rules correctly." A compliant setup to drop in. - **An Android engineer:** "Scaffold this feature following platform best practices." Conventional, reviewable code. ## How it works 1. **Describe the need:** a GCP, Firebase, or Android task. 2. **It applies the standards:** Google's official best practices. 3. **You get code and config back:** ready to review and integrate. Built for GCP developers. Every output follows documented best practices and is a draft for you to review before shipping.
Upload a contract PDF and get back a risk-annotated report, an NDA draft, or a compliance audit, delivered as PDF. ## What it does - **Risk-annotated review:** clauses flagged by risk with plain-language notes - **NDA drafting:** a standard NDA generated from your terms - **Compliance audit:** a contract checked against the requirements you set - **PDF delivery:** the report packaged as a clean PDF ## Where it fits - **A startup founder reviewing a deal:** "Flag the risky clauses in this vendor contract." An annotated report to discuss with counsel. - **A small legal team:** "Draft an NDA from these terms." A first draft to adapt. - **A freelancer vetting an agreement:** "Audit this contract for compliance gaps." A checked report as PDF. ## How it works 1. **Upload the contract:** a PDF or your terms. 2. **It reviews:** risk annotation, drafting, or a compliance check. 3. **You get a PDF back:** a report or draft for review by a lawyer. Built for startup legal teams, law firms, and freelancers reviewing contracts. Outputs are drafts for review by a qualified lawyer, not legal advice.
Bring a finance question or dataset and get back analysis reports, quant strategy backtests, and financial models, from a free, open-source skill collection. ## What it does - **Analysis reports:** a finance question worked into a structured write-up - **Quant backtests:** a strategy tested against historical data - **Financial models:** valuation and projection models built from your inputs - **Open source:** a free, inspectable skill collection ## Where it fits - **An analyst sizing an idea:** "Backtest this momentum strategy on these tickers." Performance stats plus a write-up. - **A quant prototyping:** "Build a DCF from these assumptions." A working model to stress-test. - **A researcher exploring data:** "Analyze this dataset for signal." A structured findings report. ## How it works 1. **Bring a question or data:** a strategy, a dataset, or assumptions. 2. **It runs the analysis:** backtest, model, or report as needed. 3. **You get output back:** results and a write-up to review. Built for analysts and quant researchers. Outputs are drafts for human review, not investment advice.
Hand it your React code and get back a quality report: performance traps, anti-patterns, and likely bugs, each with a fix you can apply. ## What it does - **Performance diagnosis:** unnecessary re-renders, unstable references, and expensive work in render, traced to the component and line - **Anti-pattern flags:** effect misuse, derived-state-in-state, prop drilling, and key misuse, called out with why they bite - **Bug-risk review:** stale closures, missing dependencies, and races in async effects surfaced before they ship - **Fix suggestions:** every finding paired with a concrete code change, not just a warning - **Rule-based checks:** a configurable rule set (`inspect`, `why`, `rules`) you can run in CI or on demand ## Where it fits - **A front-end engineer in code review:** "Review this PR's components for re-render traps and stale effects." A prioritized report with line-level fixes before you approve. - **A lead onboarding a codebase:** "Audit src/ for React anti-patterns and rank by impact." A triaged list to work through. - **An engineer chasing a slow page:** "Why does this list re-render on every keystroke?" The offending reference traced, with the memo or split that fixes it. ## How it works 1. **Point it at your code:** a file, a component, a PR diff, or a directory. 2. **It runs the diagnosis:** rules and analysis flag performance traps, anti-patterns, and bug risks. 3. **You get a report back:** findings ranked by impact, each with an explanation and a suggested fix to review and apply. Built for front-end engineers and teams running React code review. Every finding is a suggestion for you to review; no code changes without your approval.
Describe a product challenge and get back PM frameworks and strategies drawn from 86 skills built on Lenny Rachitsky's podcast and playbooks — for PLG product managers. ## What it does - **PLG frameworks:** product-led growth strategies and tactics from Lenny's playbook - **PM tools:** prioritization, roadmapping, and feature-spec frameworks - **Onboarding & activation:** Lenny-sourced best practices for user activation - **Retention & monetization:** frameworks for reducing churn and growing revenue ## Where it fits - **A PM stuck on a prioritization call:** "How should we frame this tradeoff?" A Lenny-grounded framework to apply. - **A product lead designing onboarding:** "What are the best PLG onboarding patterns?" A set of tactics with rationale. - **A founder building product strategy:** "How do we structure our growth model?" A PLG framework to anchor on. ## How it works 1. **Describe the product challenge:** a problem, a decision, or a question. 2. **It routes to the right skill:** one of 86 frameworks drawn from Lenny's podcast and writing. 3. **You get a framework back:** a structured approach to apply to your situation. Built for PLG product managers and founders. Every framework comes from Lenny's public work and is a starting point for you to adapt.
Describe your target role and get a realistic mock interview for a Machine Learning Engineer position at a big-tech (FAANG-tier) company — behavioral, system design, and ML theory included. ## What it does - **Realistic mock sessions:** interview conducted in the format and tone of a real FAANG-tier panel - **Behavioral rounds:** structured behavioral questions with STAR-method evaluation - **System design for ML:** ML system design questions with detailed feedback on tradeoffs - **ML theory & coding:** technical depth on algorithms, statistics, and model implementation - **Debrief:** a post-session breakdown of strengths, gaps, and what to study ## Where it fits - **A candidate prepping for big-tech:** "Run me through a full ML Engineer loop." A realistic end-to-end mock. - **An engineer brushing up on system design:** "Give me an ML system design interview." A technical session with detailed feedback. - **A candidate preparing behavioral rounds:** "Practice behavioral questions for FAANG." Structured sessions with coaching. ## How it works 1. **Describe your target:** the company tier and role you are interviewing for. 2. **The mock begins:** behavioral, system design, and technical rounds conducted realistically. 3. **You get a debrief back:** strengths, gaps, and a study plan for the real interview. Built for ML engineers targeting big-tech roles. Every session is practice — review the debrief and repeat before the real thing.
Describe the interface you want and get back a high-fidelity HTML prototype you can open straight in the browser, animations included, built on 20 design principles. ## What it does - **Clickable prototypes:** a described screen or flow rendered as a working HTML page you can open in the browser - **High-fidelity UI:** layout, spacing, and type tuned against 20 built-in design principles, not a rough wireframe - **Animations:** transitions and micro-interactions included, so the prototype feels real - **Demo-ready output:** pages clean enough to drop into a pitch or a design review ## Where it fits - **A designer pitching a concept:** "Prototype the dashboard with a sidebar and three summary cards." A high-fidelity page to click through in the review. - **A founder prepping a demo:** "Mock up the signup flow end to end." A browser-ready prototype for the investor call. - **A PM validating an idea:** "Show me two layouts for this settings screen." Two polished options to compare. ## How it works 1. **Describe the interface:** a screen, a flow, or a full page. 2. **It applies the design system:** layout and interaction built on the 20 principles. 3. **You get HTML back:** open it in the browser, click through, and refine. Built for designers and product demos. Every prototype is a starting point for you to iterate on.
Bring a finance question and get back quant strategy backtests, financial models, and market research reports. ## What it does - **Quant backtests:** a strategy tested against historical data with performance stats - **Financial models:** valuation and projection models from your inputs - **Market research:** a sector or question worked into a research report - **Analyst-grade:** outputs structured for review, not black boxes ## Where it fits - **A quant prototyping:** "Backtest this mean-reversion idea." Stats plus a write-up to judge it. - **An analyst modeling:** "Build a three-statement model from these assumptions." A working model to stress. - **A researcher on a sector:** "Summarize the landscape and key players." A structured brief. ## How it works 1. **Bring a question:** a strategy, assumptions, or a sector. 2. **It runs the work:** backtest, model, or research. 3. **You get output back:** results and a write-up for review. Built for quant researchers and financial analysts. Outputs are drafts for human review, not investment advice.
Paste AI-written text and get back a natural version with the tell-tale AI patterns stripped out. ## What it does - **Pattern cleanup:** the repetitive phrasing and hedging that mark AI text removed - **Natural rewrite:** rhythm and word choice loosened to read like a person wrote it - **Tone preserved:** your intent and register kept intact - **Drop-in:** paste in, get clean text back ## Where it fits - **A content creator polishing a draft:** "Make this blog intro read naturally." A version without the AI tells. - **A student tightening prose:** "Humanize this summary but keep my argument." Same point, cleaner voice. - **A marketer refining copy:** "Loosen up this product description." Warmer, less templated text. ## How it works 1. **Paste the text:** any AI-written passage. 2. **It rewrites:** AI patterns out, tone in. 3. **You get clean text back:** ready to use or refine further. Built for content creators, academic writing, and marketing copy. The rewrite is a draft for you to review; you own the final words.
Give it your product info and get back growth-experiment plans, sales-funnel analysis, and content-optimization recommendations. ## What it does - **Growth experiment plans:** a backlog of testable ideas with hypotheses and expected outcomes - **Sales-funnel analysis:** where users drop and what to do about it - **Content optimization:** what to change, add, or cut to convert better - **Actionable output:** recommendations structured for a team to pick up and run ## Where it fits - **A growth team planning a sprint:** "What experiments should we run this cycle?" A ranked backlog with rationale. - **A marketer diagnosing drop-off:** "Why are users leaving at checkout?" A funnel read with fixes. - **A content lead improving copy:** "Optimize this landing page for conversions." Specific recommendations to apply. ## How it works 1. **Give it your product info:** audience, funnel, and current performance. 2. **It analyzes and plans:** experiments, funnel, and content recommendations. 3. **You get a growth plan back:** ideas ranked by impact, ready to run. Built for growth marketers and product teams. Every recommendation is a draft for you to validate and act on.
Give it a site URL and get back a full SEO audit as PDF or Excel, run by 25 sub-skills and 18 sub-agents across technical SEO, content, Schema, links, and localization. ## What it does - **Technical SEO:** crawlability, indexing, Core Web Vitals, and rendering checked with SPA-aware headless fetching - **Content & E-E-A-T:** content quality gates and experience/authority/trust review against search quality guidelines - **Schema markup:** structured-data coverage validated, with generators for the types you're missing - **GEO / AI search:** AI-citation readiness and share-of-voice tracking for ChatGPT, Perplexity, and AI Overviews - **Backlinks & localization:** backlink verification, hreflang, and multi-market content parity - **Deliverable:** the whole audit packaged as a PDF or Excel report ## Where it fits - **An SEO consultant scoping a client:** "`/seo audit` their-site.com." A full-site report to anchor the engagement. - **An e-commerce team before a launch:** "Check Schema and Core Web Vitals across our product pages." Gaps and speed issues flagged with fixes. - **A content lead chasing AI visibility:** "`/seo geo` our guide." A read on whether AI search will cite the page, and what to change. ## How it works 1. **Point it at a URL:** a single page, a section, or the whole domain. 2. **It routes to the right sub-agents:** each check maps to a specialist across technical, content, Schema, links, and localization. 3. **You get a report back:** findings and fixes compiled into a reviewable PDF or Excel audit. Slash commands: `/seo audit` `/seo technical` `/seo content` `/seo schema` `/seo geo` Built for SEO consultants, e-commerce, and media sites. Every audit is a set of recommendations for you to review and apply.
Describe your dispute and get back a completed California small claims court filing package — forms, evidence checklist, and step-by-step court instructions. ## What it does - **Filing forms:** SC-100 and related forms filled out from your dispute details - **Evidence checklist:** what to bring and how to organise it for the hearing - **Court instructions:** step-by-step guidance on filing, serving, and appearing - **Claim summary:** a plain-language statement of your case to present to the judge ## Where it fits - **A tenant recovering a deposit:** "My landlord kept my deposit without cause." Forms and a case summary ready to file. - **A consumer disputing a charge:** "I paid for a service that was never delivered." A completed filing package for small claims. - **A freelancer chasing payment:** "A client owes me $800." Instructions plus a completed SC-100. ## How it works 1. **Describe the dispute:** what happened, the amount owed, and who the other party is. 2. **It builds the package:** forms filled, evidence checklist generated, instructions written. 3. **You get a filing-ready package back:** review it, sign the forms, and follow the court steps. Built for California residents filing in small claims court. Every output is a draft — verify details with the court before filing.
Describe a product challenge and get back user stories, competitive comparisons, prioritisation matrices, and roadmaps — for everyday PM work. ## What it does - **User stories:** requirements written in standard format, ready for sprint planning - **Competitive comparisons:** feature matrices and positioning analysis - **Prioritisation matrices:** RICE, MoSCoW, or impact-effort scoring applied to your backlog - **Roadmaps:** a structured plan mapped to your priorities and timeline ## Where it fits - **A PM writing sprint tickets:** "Write user stories for this feature." Stories in the right format to hand to engineering. - **A team benchmarking competitors:** "Compare our feature set against these three products." A matrix to share in the strategy review. - **A PM prioritising a backlog:** "Score these items by impact and effort." A ranked backlog to walk into planning. ## How it works 1. **Describe the challenge:** a feature, a decision, or a product question. 2. **It applies the right framework:** user stories, competitive analysis, or prioritisation. 3. **You get a deliverable back:** a doc or matrix ready to review and act on. Built for product managers and teams. Every output is a draft for you to verify and adapt.
Describe a product need and get back PRDs, user-research reports, competitive analyses, and launch plans — 100+ skills covering the full product lifecycle. ## What it does - **PRDs:** requirements written to a reviewable standard - **User-research reports:** qualitative and quantitative inputs synthesized into findings - **Competitive analyses:** the market landscape mapped and evaluated - **Launch plans:** go-to-market and release planning docs - **100+ skills:** the full PM toolkit, from discovery through delivery ## Where it fits - **A PM facing a blank PRD:** "Write a PRD for this feature from my notes." A structured requirements doc to review with engineering. - **A researcher synthesizing findings:** "Turn these interview notes into a user-research report." A findings document ready to share. - **A team prepping a launch:** "Build a launch plan for this release." A go-to-market doc to align on. ## How it works 1. **Describe the need:** the product challenge or deliverable you want. 2. **It picks the skill:** matches your request to the right PM framework. 3. **You get a deliverable back:** a draft document to review, edit, and act on. Built for PMs, product teams, and researchers. Every output is a draft for you to verify and refine.
用一套精选的宏观/美债利率/美联储语料(原创 primer + 卖方教育研报 + 教科书)做 RAG 检索式答疑,引用来源、只讲不外传。
This skill guides the complete preparation and filing of IRS Form 1040NR (U.S. Nonresident Alien Income Tax Return) for **F-1 and J-1 visa holders** (students, scholars, trainees) who earned U.S.-source income while maintaining nonresident
A two-stage pipeline that turns a positions list into a live exposure dashboard.
Give it a YouTube video, article, blog post, or X thread and get back marketing-ready posts reformatted for your target platform and tone — through an interactive conversation. ## What it does - **Content extraction:** source material pulled and distilled into key points - **Platform reformats:** the same content reshaped for LinkedIn, X, Instagram, or newsletters - **Tone matching:** writing style adjusted to match your brand voice - **Multiple formats:** one source turned into several ready-to-post pieces ## Where it fits - **A content creator recycling a podcast:** "Turn this episode into a LinkedIn post and a thread." Two posts from one recording. - **A marketer repurposing a blog:** "Reformat this article as an email and an Instagram caption." Platform-native versions to review. - **A founder sharing ideas:** "Turn this X thread into a newsletter section." A longer-form version of the same point. ## How it works 1. **Give it a link or paste the content:** the source to repurpose. 2. **It extracts and reformats:** key points pulled, then reshaped for each target platform. 3. **You get ready-to-post pieces back:** review, edit, and publish. Built for content creators and marketers. Every output is a draft for you to review before posting.
This agent automates daily stock market analysis for a user-defined watchlist covering US and Hong Kong markets. It aggregates real-time market data (price, volume, fundamentals) and recent financial news via Yahoo Finance and multilingual