Total 50,525 skills, AI & Machine Learning has 8481 skills
Showing 12 of 8481 skills
LLM inference via paid API: OpenAI-compatible chat completions proxied through x402 providers. Supports Kimi K2.5, MiniMax M2.5. Uses x_payment tool for automatic USDC micropayments ($0.001-$0.003/call). Use when: (1) generating text with a specific model, (2) running chat completions through a pay-per-request LLM endpoint, (3) comparing outputs across models.
Heartbeat-driven 7-day BotLearn tutorial reminders — fetches quickstart pages daily, tracks progress, presents tips in the user's language, auto-stops after Day 7.
Google Gemini API for Pro/Flash/Ultra models with 1M token context.
Capture corrections, insights, and patterns as reusable project knowledge. Routes learnings to the right instruction file. Applies kaizen: small improvements, error-proofing, standards work. Auto-invoked when a correction pattern is detected 3+ times. Also use manually when Claude makes a repeated mistake, discovers a non-obvious gotcha, or when you want to persist a workflow preference.
Apply cognitive bias detection whenever the user (or Claude itself) is making an evaluation, recommendation, or decision that could be silently distorted by systematic thinking errors. Triggers on phrases like "I'm pretty sure", "obviously", "everyone agrees", "we already invested so much", "this has always worked", "just one more try", "I knew it", "the data confirms what we thought", "we can't go back now", or when analysis feels suspiciously aligned with what someone wanted to hear. Also trigger proactively when evaluating high-stakes decisions, plans with significant sunk costs, or conclusions that conveniently support the evaluator's existing position. The goal is not to paralyze — it's to flag where reasoning may be compromised so it can be corrected.
Manage MCP servers - discover, analyze, execute tools/prompts/resources. Use for MCP integrations, capability discovery, tool filtering, programmatic execution, or encountering context bloat, server configuration, tool execution errors.
Use when an agent is asked to define, review, or write acceptance criteria for a request or plan. Derives acceptance criteria from the current request context, confirms them with the user, and writes them into the plan file or a standalone acceptance_criteria.md file.
Play blackjack with the agent as dealer. The agent manages game state, deals cards, and sends card images.
Record and manage meeting notes with intelligence. Organizes meeting documentation with action items, decisions, and follow-ups.
Beat 4 editorial skill — "Protocol and Infrastructure Updates" signal composition, source validation, and editorial voice guide for aibtc.news correspondents covering API changes, contract deployments, MCP updates, protocol upgrades, bugs, and breaking changes.
Complete virtual board of directors — 28 skills covering 10 C-level roles, orchestration, cross-cutting capabilities, and culture frameworks. Features internal quality loop, two-layer memory, board meeting protocol with Phase 2 isolation, proactive triggers, and structured communication standard.
How an AI agent plans, builds, and deploys a complete Ethereum dApp. The three-phase build system for Scaffold-ETH 2 projects. Use when building a full application on Ethereum — from contracts to frontend to production deployment on IPFS.