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Found 11,376 Skills
Ship a change via a feature branch and pull request — never directly to the default branch. Use after any code change, fix, refactor, or docs update that needs to land on main. Branches are named `<card-number>` from the FluentBoards card. Commits go through the husky pre-commit hook (lint-staged); pushes go to the feature branch only; the PR body links back to the card. Hard refuses any push to main / master / trunk.
Cloudflare Workflows for durable long-running execution. Use for multi-step workflows, retries, state persistence, or encountering NonRetryableError, execution failed errors.
When the user needs to design, improve, or audit a post-signup activation flow to get new users to their first value moment. Activate when activation is lagging, time-to-value feels excessive, or first sessions lack impact.
Query financial market data using the finflow CLI tool. Supports A-shares, HK stocks, US stocks, futures, and macro data. Use this skill whenever the user asks about stock quotes (SH600519, 00700, AAPL), market indices, financial news, capital flow, sector rankings, macro calendar, futures, or any financial data. Also trigger when the user mentions stock codes, ticker symbols (e.g. 茅台, NVDA, 腾讯), asks about market sentiment, wants to check portfolio, or needs real-time financial information for investment decisions.
AntiGravity Start Work/Finish Work/New Project Initialization Process. Loaded when saying 'Start Work', 'Finish Work', or 'Initialize Project'.
GitHub PR lifecycle: branch, commit, open, CI, merge.
Drives a disciplined explore → plan → implement → verify loop for changing an AI agent's behavior with confidence — whether fixing a reported failure or introducing a new requirement, business rule, or policy. Grounds the diagnosis in MLflow traces, codifies the desired behavior as a regression test suite (`mlflow.genai.evaluate` assertions in `@mlflow.test` pytest tests), and iterates the agent — not the test — until green, resisting quick system-prompt patches when the real fix is upstream (missing tool, retrieval source, or capability). Use whenever the user wants to fix or change how an agent behaves — e.g. "fix this issue in my agent", "this answer is wrong", "the agent is hallucinating", "improve my agent based on this trace", "make the agent do X instead of Y", "I want the agent to lead with/prioritize/recommend X", "new business rule: the agent should X", "always/never do X", "change the agent's default behavior" — or shares a trace they want addressed.
Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.
Develop workflows, custom nodes, and integrations for n8n automation platform
Use when user asks to "create a tour", "add onboarding flow", "implement guided walkthrough", "set up Flowsterix", "add tour steps", "configure step targeting", "handle async content in tour", "use devtools to capture elements", "grab elements for tour", or needs help with tour overlays, popovers, step advance rules, TourHUD configuration, or DevTools element grabber.
Generate plain ASCII box-flow diagrams (boxes + arrows) for environments without renderers, with alignment rules and split strategies for complex graphs.
N-version programming for critical implementations - generates N independent solutions and selects the best through comparison