Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Capture task outcomes, score performance, and derive rules as token priors for continual learning without model weight changes. Use for post-task feedback, experience capture, pattern extraction, and learning from mistakes. Achieves continual learning for $18 per 100 samples vs $10k fine-tune cost. Triggers on "learn from experience", "capture patterns", "post-task analysis", "continual learning", "experience extraction".
Claude Code configuration: skills, agents, hooks, commands creation. MCP servers setup, IDE integrations (VS Code, JetBrains, Vim). Settings, permissions, memory. Naming conventions, directory structure, best practices.
Creates, edits, updates, or modifies Claude Code slash commands. Use when user asks to create command, edit command, update command, change command, modify command, fix command, improve command, add to command. Triggers on "command", "/command", "slash command".
Operate FFT_nano coding delegation flows safely using /coder and /coder-plan, preserving main-chat-only policy, request-id tracking, and non-duplicative streaming behavior.
Always check the OMS Figma Make project before executing user work, then route to the best matching global .agents skills and complete the requested task. Use when a request should stay aligned with the canonical OMS design intent while still handling any concrete implementation, refactor, review, or content task the user asks.
Parallel agent fleet dispatch with progress tracking and result aggregation. Launch N agents, monitor completion, merge results. Proven at 7-agent scale.
基础原则 - AI 助手的核心思维原则和指令框架概述。包含系统思维、辩证思维、创新思维和批判思维四大核心原则。