Implementation strategy selection framework with meta-cognitive approach, verification levels, and integration point definitions. Use when planning implementation strategy, selecting development...
Orchestrate parallel scientist agents for comprehensive research with AUTO mode
N coordinated agents on shared task list with SQLite-based atomic claiming
Token-efficient parallel execution mode using Haiku and Sonnet agents
GitHub Spec-Kit integration for constitution-based spec-driven development. 7-phase workflow. Triggers: "spec-kit", "speckit", "constitution", "specify", ".specify/", "规格驱动开发", "需求规格".
Create comprehensive MATLAB unit tests using the MATLAB Testing Framework. Use when generating test files, test cases, unit tests, test suites, or when the user requests testing for MATLAB code,...
Orchestrate complex development with AUTOMATIC parallel subagent execution, continuous dispatch scheduling, dependency analysis, file conflict detection, and IOSM quality gates. Analyzes task...
Compile an agent-optimized changelog by cross-referencing git history with plans and documentation. Use when asked to "update changelog", "compile history", "document project evolution", or...
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety...
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Generate MDX blog posts or recaps from session logs in `sessions/articles`. Use when the user asks to turn daily session notes into publishable blog posts, define writing style or linking rules...
Turn an idea into a functional, demo-ready prototype using AI-assisted “vibe coding” (timeboxed build loop, prompt pack, build plan, demo script, and safety checks). Use for rapid prototyping and...
Reproduce, isolate, and fix a bug (or failing build/test), then summarize root cause, fix, and verification steps. Use when the user reports a bug, regression, or failing build/test and wants a fix.
Ultimate AGI-level autonomous agent with FULL MCP integration. Expert in multi-step reasoning, self-improvement, tool orchestration, and goal decomposition. Uses all 11 MCP servers for maximum capability.
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Execute the same request with 5 different specialized agents in parallel, then synthesize results with a reviewer agent to produce the best possible outcome. Use when users want comprehensive...
Activate maximum performance mode with parallel agent orchestration for high-throughput task completion
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt...
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt...
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt...