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Found 113 Skills
Build type-safe LLM applications with DSPy.rb — Ruby's programmatic prompt framework with signatures, modules, agents, and optimization. Use when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers, building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.
Verify worktree plugin patches are intact after plugin updates. Checks compound-engineering and superpowers skills for Claude Code launch instructions.
Executable documentation governance with compound engineering and abductive learning. Enforces the Seven Laws through type compilation, schema validation, and hookify-based enforcement. Implements programmatic compound engineering where K' = K ∪ crystallize(assess(τ)) for monotonic knowledge growth. Integrates abstracted abductive learning (OHPT protocol) for systematic debugging and pattern extraction. Trigger when writing code, debugging, establishing governance, or when mentioned vibecode, compound, abductive, or executable documentation. Self-validating and homoiconic.
Compound engineering loop — 5 stages to reduce rework. Use when: (1) starting new work (brainstorm); (2) planning implementation (plan); (3) writing code (work); (4) evaluating output (review); (5) capturing lessons (compound). NOT for: daily rhythm (use daily); task management only (use task).
Implement one prd.json task per iteration using tracer-bullet + compound mindset. Triggers on: ratatouille:.