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Found 52 Skills
Backend-agnostic task management. Use when: (1) creating, listing, updating, or archiving tasks; (2) analysing task status; (3) setting up task backend. NOT for: memory population (use memory); session management (use memory session).
Session retrospective and codification. Run at the end of any significant session to extract learnings, update documentation, and create artifacts that make future sessions smoother. Invoke when: - Finishing a multi-step implementation - After debugging a hard problem - End of any session with 3+ tool calls - "what did we learn?" / "wrap up" / "done" Subsumes /codify-learning (codification is one output, not the only one).
Daily startup and closeout rituals. Use when: (1) starting the workday; (2) wrapping up the day. NOT for: mid-day task management (use task); compound loop (use work); memory directly (use memory).
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).
Write the daily memory log entry. Use at end of day to record what happened.
Bootstrap a local AI review pipeline and generate a paste-ready review prompt for any provider (Codex, Gemini, GPT, Claude, etc.). Use after creating a handoff or when ready to get an AI code review.
Generate a handoff document after implementation work is complete — summarizes changes, risks, and review focus areas for the review pipeline. Use when done coding and ready to hand off for review.
Set up and run an autonomous experiment loop for any optimization target. Gathers what to optimize, then starts the loop immediately. Use when asked to "run autoresearch", "optimize X in a loop", "set up autoresearch for X", or "start experiments".
Detect exposed secrets, API keys, credentials, and tokens in code. Use before commits, on file saves, or when security is mentioned. Prevents accidental secret exposure. Triggers on file changes, git commits, security checks, .env file modifications.
Use beads (bd) for persistent task tracking in coding projects. A git-backed issue tracker designed for AI agents with dependency graphs, hierarchical tasks, and multi-agent coordination.
Run a comprehensive pull request review using multiple specialized agents. Each agent focuses on a different aspect of code quality, such as comments, tests, error handling, type design, and general code review. The skill aggregates results and provides a clear action plan for improvements. Triggers include "review PR", "analyze pull request", "code review", and "PR quality check".
Configure kata workflow toggles and model profile. Triggers include "settings".