Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 404 files from 1 741 authors, of which 61 763 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Integrate data visualizations into React and Next.js applications. Use when the user needs chart components, UML-like or architecture diagram components, React integration patterns, Next.js client or server boundaries, hydration-safe rendering, lazy loading, framework-aware performance, scroll-driven visual stories, or export guidance.
Render WebGL-accelerated data visualizations with Three.js, raw WebGL, deck.gl, luma.gl, PixiJS, Sigma.js, Plotly WebGL traces, ECharts GL, CesiumJS, Babylon.js, or related GPU libraries. Use when the visualization needs true spatial structure, dense 2D or 3D GPU rendering, particle or flow animation, volumetric views, or interactive exploration that adds real analytical value.
Build typed data visualizations in TypeScript. Use when the user wants TypeScript visualization code, typed data models, browser visualization components, UML-like diagram models, interactive graph or architecture diagram contracts, scroll-driven scene contracts, library selection guidance, or a maintainable visualization architecture beyond React- or Next-specific concerns.
Design, critique, read, write, render, and implement UML and UML-like software diagrams. Use when the user mentions UML, sequence diagrams, class diagrams, activity diagrams, state machines, use case diagrams, component diagrams, deployment diagrams, object diagrams, package diagrams, profile diagrams, timing diagrams, communication diagrams, interaction overview diagrams, composite structure diagrams, ERDs, database schema diagrams, C4, BPMN, swimlanes, flowcharts, network diagrams, application architecture diagrams, software architecture diagrams, diagram-as-code, model-as-code, XMI, UMLDI, PlantUML, Mermaid, Graphviz DOT, D2, Structurizr, DBML, diagrams.net/draw.io, Kroki, or interactive diagram editors and explorers.
Choose, lay out, critique, and explain data visualizations. Use when the user asks what visualization fits a dataset or goal, how a chart, dashboard, operational workspace, UML-like diagram, or software architecture diagram should be composed or interacted with, asks for visual page design, a layout mockup, generated large-screen and mobile concept images, or to be shown what a visualization could look like, when domain-native contextual surfaces or graphical backgrounds may help, when scrollytelling or parallax might be appropriate, wants a critique of an existing visualization, or needs guidance grounded in trusted visualization theory and practice. For advanced visual design or page-layout prompts where composition affects understanding, Codex must generate and show both large-screen and mobile portrait image concepts before implementation or text-only design handoff, plus mobile landscape when needed.
Create on-brand Canva presentations from a brief, outline, existing Canva doc, or design link. Use when the user wants a branded slide deck, wants to turn notes into a presentation, or needs a presentation generated in Canva with the right brand kit and a clear slide plan.
Resize a Canva design into standard social media formats and prepare export-ready results. Use when the user wants one Canva design adapted across multiple social platforms such as Facebook, Instagram, and LinkedIn, especially when they want all variants produced in one pass.
Translate the text in a Canva design into another language while preserving the original layout as much as possible. Use when the user wants a localized or translated version of an existing Canva design and expects the original file to remain unchanged.
> GP platform one-pager and investor report generator for private equity portfolio companies. Use this skill whenever a user asks to generate a company tearsheet, one-pager, investor report, portfolio overview, or company deep-dive — especially when they name a company or ask to "build a report", "create a one-pager", or "show me a tearsheet". Also trigger when the user asks to include commentary, quarterly updates, investment narratives, or any Investment Overview in the report output. This skill handles live data fetching via a connected MCP data source OR from an uploaded Excel model, metric formatting, AI-generated or model-sourced commentary, and rendering a fully styled HTML one-pager. Also trigger for LP quarterly updates, valuation summaries, and portco performance pages — any output that combines financials, valuation, and return data for a single portfolio company.
Forecast private capital cashflows for existing portfolios using Chronograph MCP data and a Takahashi-Alexander style model. Use when Codex needs to analyze or forecast LP-level contributions, distributions, NAV, unfunded exposure, net cashflows, or Excel-style cashflow forecast outputs from existing Chronograph funds, commitments, groups, or portfolios.
> Expert coding assistant for Catalyst by Zoho — full-stack serverless cloud platform. Trigger on any mention of Catalyst, zcatalyst, AppSail, Data Store, ZCQL, Cache, Stratus, Circuits, SmartBrowz, ConvoKraft, Slate, Signals, Pipelines, QuickML, NoSQL, Job Scheduling, Zia Services, CodeLib, API Gateway, Connections, Zoho MCP, CatalystbyZoho, catalyst init/deploy/serve, zcatalyst-sdk-node, or catalyst-config.json. Covers all 7 function types, full service catalog, architectural guidance, and Zoho MCP tool-based resource management. Also trigger on migration/comparison with AWS Lambda, S3, DynamoDB, Vercel, Netlify, Supabase, Firebase, Heroku, Cloud Run, Cloudflare R2, Railway. Trigger on Catalyst pricing, cost estimation, or "create tables for me", "set up the database", "deploy to Catalyst", "build on Zoho's platform", or "is Catalyst like Firebase". Do NOT use for generic Zoho CRM questions unless Catalyst is the target.
> reporting, surface what changed since last period, and draft the questions worth raising. Use when someone is getting ready for a manager call, quarterly check-in, annual meeting, LPAC meeting, or a re-up decision — for example "I have my quarterly call with this manager next week, help me prep," "what changed in this fund this quarter," "what should I ask them about these marks," or "what are the red flags in this reporting package." Draws on Chronograph fund and portfolio data when connected — captured reporting such as fund performance, schedules of investments, and portfolio company KPI profiles — and asks the LP to provide anything else it needs, such as a capital account statement, investor letter, or AGM or board deck.
Diagnose and fix failing CircleCI builds quickly and safely. Use when users ask to investigate failed CircleCI jobs, triage flaky pipelines, identify root causes from logs, and implement minimal fixes in configuration, test setup, or build-related code paths.
Use CircleCI Chunk for AI-assisted CI/CD work through either the Chunk web UI or the chunk-cli. Trigger this skill when users ask to set up Chunk, troubleshoot or fix failing builds with Chunk, configure Chunk environments, schedule/proactively run Chunk tasks, or use chunk-cli commands such as init, validate, build-prompt, auth, sandbox, task, and skill install.
Operate and troubleshoot CircleCI using the CircleCI CLI. Use when users ask to authenticate CLI access, inspect pipeline/workflow/job status, validate configuration locally, rerun pipelines/jobs, trigger pipelines, or gather actionable diagnostics from CLI outputs.
Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
Optimize CircleCI configuration for speed, reliability, and maintainability. Use when users ask to improve `.circleci/config.yml`, reduce CI runtime, tune caching/workspaces/parallelism, remove pipeline waste, or fix flaky pipeline behavior caused by configuration choices.
| Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks about agent "state management", "scheduled tasks", or "tool calling". Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
| Builds remote MCP (Model Context Protocol) servers on Cloudflare Workers with tools, OAuth authentication, and production deployment. Generates server code, configures auth providers, and deploys to Workers. MCP", "deploy MCP", add "OAuth to MCP", or mentions Model Context Protocol on Cloudflare. Also triggers on "MCP authentication" or "MCP deployment". Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge.
Reviews code changes using CodeRabbit AI. Use when user asks for code review, PR feedback, code quality checks, security issues, or requests fix-review cycles.
Use when Codex is already in the attack-path-analysis phase of a security scan or the user explicitly asks to trace a security finding from source to sink and calibrate severity. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
Use when the user asks for a deep, exhaustive, multi-pass, or variance-reducing repository-wide or scoped-path Codex Security scan. Run repeated independent discovery passes over one resolved scope with worker-specific threat models, semantically merge candidates, synthesize one canonical validation threat model, then run validation, attack-path analysis, canonical JSON completion, and generated reporting once. Do not use for PRs, commits, branch diffs, or working-tree diffs.
Use when Codex is already in the finding-discovery phase of a security scan or the user explicitly asks to discover candidate security findings in a repository or code change. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
Use when the user asks for a security review of a pull request, commit, branch diff, working-tree patch, or other Git-backed change set.
Use for a standard, single-pass security audit of an entire repository or a scoped path, package folder, or submodule with no diff to review. This is the default repository scan. Do not use for PR/commit/branch/working-tree diffs, or for deep, multi-pass, or variance-reducing scans.
Use when Codex is already in the validation phase of a security scan or the user explicitly asks to determine whether one or more candidate security findings are valid. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
Build a multi-tab Excel financial model
Bull/bear/base case scenario framework for a given company
Deep dive into capital deployment, buybacks, dividends, and shareholder yield
Build an industry comp sheet Excel model with deep operational KPIs
Trading comparables analysis with peer multiples and implied valuation
Rapid first-read earnings flash for a given company
Discounted cash flow valuation with sensitivity analysis
Pre-earnings preparation report for the night before a company reports
Track management guidance accuracy over time for a given company
Full earnings analysis with guidance tracking for a given company
Generate an institutional-grade investment banking pitch deck (HTML)
Cross-company industry comparison across multiple tickers
Auto-detect biggest acceleration/deceleration inflections across all metrics
Precedent M&A transactions analysis with deal multiples and acquisition history
Initiate coverage — generate both research note (HTML) and Excel model (.xlsx)
Interactive supply chain dashboard mapping suppliers, customers, and financial interdependencies
Verify Daloopa MCP connection and show available skills
Generate a professional Word document research note
Quick one-page company overview and snapshot
Bottoms-up unit economics decomposition for any public company
Cash conversion cycle, earnings quality, and working capital deep-dive
> Document Quality Check skill for Datasite deal rooms. Use this skill whenever a deal team wants to audit document quality before going live to buyers. Triggers files", "check for blank documents", "PII check", "redaction review", "find corrupted files", "document audit", "quality check the data room", "are there any blank or broken files", "check for unredacted personal data", or any request to verify that documents in the data room are complete, accessible, and safe to share. Use this skill proactively before a data room goes live. Do not use for renaming files (use smart-file-renaming) or for identifying missing sections (use gap-analysis).
> Bulk Q&A Answers skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to answer multiple buyer questions at once, generate AI draft responses from VDR content, produce a Q&A tracker spreadsheet, or build a Q&A management "process the question list", "generate Q&A tracker", "answer all questions", "bulk answer", "Q&A management dashboard", "respond to diligence questions", or any request to systematically work through a list of buyer questions using data room content as the source. Use this skill proactively whenever a buyer has submitted questions and the deal team wants AI-assisted drafting. Do not use for individual one-off questions outside a structured Q&A process. Do not draft answers from general knowledge — all responses must come from the data room.
> Data Room Gap Analysis skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to audit what is missing, sparse, or incomplete in their "what's missing from the data room", "check the data room coverage", "flag empty folders", "what haven't we uploaded yet", "data room readiness check", "find gaps before we go live", "are all the contracts in there", "check we have everything", or any request to assess completeness of the data room by section. Use this skill proactively whenever a deal team is preparing to launch a data room and wants to know what still needs to be uploaded or organised. Do not use for document quality issues such as PII or redaction (use document-quality-check), or for drafting Q&A responses (use bulk-qa-answers).
> Information Request List (IRL) Tracker skill for Datasite deal rooms. Use this skill whenever a deal team wants to compare VDR content against a buyer's information request list, track document delivery status, or build a due diligence "check the information request list", "information gathering list", "IGL", "what have we delivered", "DD tracker", "due diligence tracker", "compare VDR against the request list", "what's still outstanding", "build a diligence dashboard", or any request to track document delivery against buyer requests. Use proactively whenever a buyer has submitted a request list and the deal team needs to manage and track responses. Do not use for overall data room structural gap analysis — use gap-analysis for that.
> Launch Readiness Orchestrator skill for Datasite deal rooms. Use this skill whenever a deal team wants a single pre-go-live readiness check across their data room — combining gap analysis, document quality audit, and risk review ready to go live", "launch readiness check", "pre-launch audit", "data room readiness", "can we launch", "is the data room ready", "run a full readiness check", "go-live checklist", "pre-launch checklist", or any request to get a single overall assessment before opening the data room to buyers. Use proactively whenever a deal team is approaching their go-live date and wants a structured sign-off view. Do not use other individual audit skills (gap-analysis, document-quality-check, risk-analysis-audit) when this skill is active — this skill orchestrates all three in one pass.
> Risk Analysis Audit skill for Datasite deal rooms. Use this skill whenever a sell-side deal team wants to audit, review, or flag risks across a data room before going live. "what are the risks in this deal", "audit the data room", "risk analysis", "flag issues before we go live", "what should we fix before launch", or any request to analyse deal risk by workstream (Tax, Finance, Legal, HR, IP, Commercial, Regulatory, ESG). Use this skill proactively whenever the user is preparing a data room for launch and wants a structured view of what might concern a buyer. Do not use for document quality issues like PII or redaction (use document-quality-check), or for identifying missing sections (use gap-analysis).
> Smart File Renaming skill for Datasite deal rooms. Use this skill whenever a deal team wants to standardise document names, clean up scanned file names, normalise naming across similar document types, or improve the professionalism of the data names", "standardise naming", "the file names are a mess", "fix the document names", "rename scanned documents", "make the naming consistent", "tidy up the data room", or any request to improve, clean, or normalise document naming across a Datasite project. Never apply any rename without explicit user confirmation. Do not use for document quality or PII checks — use document-quality-check for that. Never rename files without explicit user confirmation.
> VDR Index Setup skill for Datasite deal rooms. Use this skill whenever a user wants to create, propose, design, or set up a Virtual Data Room (VDR) index VDR index", "build a deal room structure", "prepare the index", "set up the fileroom", "I need a data room for [deal/company]", or any request to organise or structure documents for due diligence. Also triggers when a user wants to replicate an existing deal room structure or import an index from a spreadsheet or reference deal. This skill MUST be used whenever the user is starting a new deal room or wants to customise the folder hierarchy before documents are uploaded. Do not use to audit or review an existing data room — use gap-analysis, document-quality-check, or risk-analysis-audit for that.
Use when running Deepnote notebooks, inspecting notebook inputs, reviewing integration references and cached table structure, listing run history, or interpreting run status and snapshot outputs through the Deepnote app tools.
Use when a task asks for Deepnote URLs, links, project links, notebook links, workspace links, share links, UTM/campaign links, or when a Deepnote response should include clickable links built from Deepnote app project, notebook, or workspace data.
Claude Skills — questions
Answers built from the skills we actually parsed.