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Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Long-running Jira investigation that self-continues past natural stops until a written hypothesis with evidence citations is produced. Pairs with the cooking Stop hook and hard-stops at 10 iterations.
Weekly research agent for #personal queue items — travel, products, life planning. Runs the 5-step research loop with a practical, actionable focus.
Comprehensive patterns and techniques for removing AI-generated verbosity and slop
Full SEO and performance audit for any website. Use when asked to check SEO, run a lighthouse scan, audit performance, check accessibility, or validate structured data.
Premier research workflow for systematic investigation, synthesis, and verification. Use for literature reviews, competitive analysis, deep dives, market research, or any task requiring structured research with source attribution.
Relationship-aware retrieval using graph traversal, entity anchors, community expansion, and hybrid vector plus graph search. Use when chunk similarity alone misses paths, entities, or subsystem context.
Transform a vague idea, request, or prompt into a concrete, actionable goal with clear success criteria, scope boundaries, and measurable outcomes. Use when the user has an intention but needs help defining what \"done\" looks like.
Build a static-first knowledge architecture using file-backed domain maps, rules, hypotheses, and durable references. Use for knowledge architecture, learning systems, decision context, and long-lived team memory without runtime memory tooling.
Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, investigating patterns, or synthesizing findings from multiple sources.
Decompose specs into small, verifiable tasks with acceptance criteria and dependency ordering. Use when you have a spec and need implementable units.
Build, run, and secure Docker containers with current best practices. Use for Dockerfile review, multi-stage builds, Compose orchestration, image hardening, and CI/CD integration.
Multi-axis code review with optional strict maintainability mode. Use before merging any change—human, agent, or automation output.
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Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.