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Found 5,560 Skills
Use this skill when the user wants to debug, diagnose, or systematically iterate on an experiment that already exists, or when they need a structured experiment log for tracking runs, hypotheses, failures, results, and next steps during active research. Apply it to underperforming methods, training that will not converge, regressions after a change, inconsistent results across datasets, aimless experimentation without progress, and questions like 'why doesn't this work?', 'no progress after many attempts', or 'how should I investigate this failure?'. Also use it for setting up practical experiment logging/record-keeping that supports debugging and iteration. Do not use it for designing a brand-new experiment pipeline or full experiment program (use experiment-pipeline), generating research ideas, fixing isolated coding/syntax errors, or writing retrospective summaries into research memory/notes/knowledge bases.
Comprehensive guide for contributing to and working with freeCodeCamp's open-source codebase and curriculum platform
Use this skill when writing, reviewing, or improving internal engineering documents - RFCs, design docs, post-mortems, runbooks, and knowledge base articles. Triggers on drafting a design proposal, writing an RFC, creating a post-mortem after an incident, building an operational runbook, organizing team knowledge, or improving existing documentation for clarity and completeness.
Systematically explore and evaluate a library, tool, or GitHub repo in an isolated scratch environment. Use this skill whenever the user asks to "try", "evaluate", "explore", or "kick the tires" on a library/repo/tool, especially when they provide a GitHub URL, npm/pip package name, or repo shorthand like "owner/repo". Use it when they want real primitives, failure modes, and composability beyond quickstarts before deciding on integration. Produces runnable scratch/ scripts demonstrating key primitives, a composition script, and a Tutorial.md with honest findings. This is NOT for full integration into an existing codebase.
This skill should be used when the user asks to "create a state machine", "add xState", "use xState with React", "implement actor-based state", "manage complex state with state machines", "use xState with Effect", "integrate Effect-ts with xState", mentions xState hooks (useMachine, useActor, useSelector), or discusses finite state machines in React applications.
Scan token contract security risk and return a structured summary including score, tax, holder concentration, and LP lock status. Supported chains are bsc, eth, solana, arbitrum, base, polygon, avax, tron, ton, plasma, and sui. Trigger when the user provides a chain and contract address and asks for token risk analysis, security review, high-risk item identification, tax interpretation, or holder distribution analysis.
A command-line tool for fetching X (Twitter) tweets and long-form articles. Supports regular tweets (text, images, video links) and X Article long-form articles (full content in Markdown format), and automatically saves as Markdown files. Based on the Jane-xiaoer/x-fetcher project. Use when user mentions "fetch tweet", "download tweet", "save X article", "fetch tweet", or provides x.com/twitter.com URLs.
Generate high-quality Markdown documents such as weekly reports, work reports, summaries, and introductions. When no draft is provided, search and summarize from the Web; when a draft is provided, organize, polish, and supplement based on the draft. Use this when the user mentions weekly reports, work reports, summaries, introductions, debriefings, or reviews.
Integrate Didit AML Screening standalone API to screen individuals or companies against global watchlists. Use when the user wants to perform AML checks, screen against sanctions lists, check PEP status, detect adverse media, implement KYC/AML compliance, screen against OFAC/UN/EU watchlists, calculate risk scores, or perform anti-money laundering screening using Didit. Supports 1300+ databases, fuzzy name matching, configurable scoring weights, and continuous monitoring.
Comprehensive guide for AntV L7 geospatial visualization library. Use when users need to: (1) Create interactive maps with WebGL rendering (2) Visualize geographic data (points, lines, polygons, heatmaps) (3) Build location-based data dashboards (4) Add map layers, interactions, or animations (5) Process and display GeoJSON, CSV, or other spatial data (6) Integrate maps with AMap (GaodeMap), Mapbox, Maplibre, or standalone L7 Map (7) Optimize performance for large-scale geographic datasets
Use when you need to review, improve, or write Java unit tests — including migrating from JUnit 4 to JUnit 5, adopting AssertJ for fluent assertions, structuring tests with Given-When-Then, ensuring test independence, applying parameterized tests, mocking dependencies with Mockito, verifying boundary conditions (RIGHT-BICEP, CORRECT, A-TRIP), leveraging JSpecify null-safety annotations, or eliminating testing anti-patterns such as reflection-based tests or shared mutable state. Part of the skills-for-java project
Vector-based semantic memory using embeddings for intelligent recall. Store and search memories by meaning rather than keywords. Use when you need semantic search, similar document retrieval, or context-aware memory.