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Found 5,426 Skills
Synthesizes trust boundaries, attack surfaces, and attacker profiles into a living threat model. Use as Stage B of the Knowledge Base generation process, reading architecture and entity definitions from the KB. Don't use for analyzing source code or extracting raw learnings from JSONL files.
Extracts learnings from execution trajectories at the end of a Mantis loop. Use to parse agent conversations, extract successes, failures, and false assumptions, and append them to workspace/learnings.jsonl. Don't use for analyzing source code or writing patches.
Audits the bundled `clerk-cli` skill against the Clerk CLI source tree and proposes or applies updates. Use when the user says "audit the clerk-cli skill", "update the clerk-cli skill", "check clerk-cli against the CLI source", "resync clerk-cli skill", "run audit-clerk-skill", or after Clerk CLI commands, flags, or agent-mode behavior change.
Use this skill when the user wants to create, read, update, delete, or troubleshoot AI agents (conversational agents with behaviors). Covers 7 MCP tools including pre-flight validation, plus pipe-scoped knowledge bases (list, plain text/document/data lookup CRUD, access probe) attached via dataSourceIds. For traditional automations and AI automations, see skills/automations/.
Playwright E2E testing best practices. Use when writing browser tests, visual regression, or accessibility tests in any project. Enforces user-facing locators, auto-waiting, web-first assertions, and Page Object Model.
Playwright API testing best practices. Use when writing REST API tests with Playwright. Enforces Zod schema validation, client/fixture separation, and contract testing.
Train ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-backed), custom PyFunc, custom ResponsesAgent (LangGraph + UC Function/Vector Search); UC feature tables + FeatureLookup + point-in-time joins + Lakebase online store; declarative Feature Views (create_feature, DeltaTableSource, RollingWindow/SlidingWindow/TumblingWindow, materialize_features, streaming Kafka features). NOT for: endpoint ops (databricks-model-serving), MLflow evaluation (databricks-mlflow-evaluation).
Inspect multiple reference or benchmark videos shot by shot, record observable visual and audio evidence independently for each source, then synthesize their recurring short-form style grammar, one-off details, imitation boundaries, and generator risks in one human-readable Markdown report. Use before image prompt construction, video request architecture, Seedance workflow creation, or batch media generation when reference footage defines the desired production language.
Use to ride a trend — a trending sound, format, meme, hashtag, news moment, or cultural conversation — to earn reach by attaching the brand to something already getting attention (a.k.a. trendjacking / newsjacking). Run when the user says "trend," "trending," "jump on this trend," "trendjack," "newsjack," "is this trend worth doing," "make this go viral," or wants to react to a current moment. Reads brand-profile, voice, and audience first, then runs three gates — FIT, SAFETY, and TIMING — before executing a fast, on-brand remix and handing to the right content skill (tiktok-script, reels-script, caption-writer) and scheduling-and-queue. Refuses to trendjack tragedies or divisive moments and won't force irrelevant trends; live trend discovery needs current scanning — this skill vets and executes. For meme-format craft, cultural fluency, and meme IP/likeness judgment ("make a meme," "is this meme safe"), route to meme-and-culture.
Use this skill when users need to set up customer support systems, create help docs/FAQs, implement ticketing, build self-service resources, or optimize support operations. Activates for "too many support requests," customer support setup, or scaling support without hiring.
Build applications using the x402 protocol — Coinbase's open standard for HTTP-native stablecoin payments using the HTTP 402 status code. Use this skill when: - Creating APIs that require USDC payments per request (seller/server side) - Building clients or AI agents that pay for x402-protected resources (buyer/client side) - Implementing MCP servers with paid tools for Claude Desktop - Adding payment middleware to Express, Hono, or Next.js applications - Working with Base (EVM) or Solana (SVM) payment flows - Building machine-to-machine or agent-to-agent payment systems - Integrating micropayments, pay-per-use billing, or paid API access Triggers: x402, HTTP 402, payment required, USDC payments, micropayments, pay-per-use API, agentic payments, stablecoin payments, paid API endpoint, paywall middleware
Integrate multiple plot point analysis results into a comprehensive report, and generate high-quality analysis through deduplication, classification, sorting, and summarization. Suitable for integrating multiple analysis sources and generating unified reports