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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.
Review and tune SQLite schemas, queries, indexes, and pragmas. Connects to the actual database to gather concrete evidence (EXPLAIN QUERY PLAN, page counts, table stats) before recommending changes.
Use when a task needs an implementation plan that is iteratively created and stress-tested through review-and-revise cycles before implementation begins — catches blind spots, incorrect codebase assumptions, unnecessary complexity, and performance pitfalls while changes are still cheap
Use when the user wants to package all source code into a tar.gz archive for upload or checkpoint. Creates a comprehensive archive excluding binaries and build artifacts.
Use when creating any beads task — auto-researches the codebase, links related tasks, and produces a rich self-contained description from a structured template. Accepts minimal intent and outputs a complete task ready for agent implementation.
Deep research before design — 3-5 parallel research agents survey papers, production systems, failure modes, and prior art, then a synthesizer compiles evidence, and an integrator maps findings to a concrete codebase plan with citations
Run a parallel diverge-then-converge design tournament — 3-5 independent agents explore a problem, then 2 ranking agents evaluate and stack-rank the results with confidence scores
Audit memory safety and security in unsafe code blocks, buffer handling, and security-sensitive operations
Deep Linux perf profiling — PMU counters, topdown analysis, flamegraphs, and annotated hotspot drill-down on ARM/Graviton
Review Rust interfaces for ease of correct use and resistance to misuse, applying "make interfaces easy to use correctly and hard to use incorrectly
Use when a markdown plan file exists and needs validation before implementation — catches design flaws, logic holes, footguns, unnecessary complexity, and performance concerns while changes are still cheap
Distributed systems design and implementation auditor — enforces evidence-backed coordination decisions, citation requirements, invariant tracking, and correctness verification against academic literature, battle-tested systems, and the project's locked architectural decisions
Respond to PR review comments by verifying bug reports with failing tests before fixing code — never blindly trust a reviewer
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Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.