10 genuinely useful AI-agent skills every week, generalized from my real AI-agent workflow so anyone can put them to work.
Feed last updated Jul 6, 2026
How to use these
Clone the repo, or copy a single skill folder into ~/.claude/skills/, then ask Claude Code (or your agent of choice) to use it.
Spawn N domain-expert subagents in parallel to audit a codebase, product, or design from different angles, then synthesize convergent vs. divergent recommendations.
Use it for: Breaking out of a surgical-patch loop, getting a second opinion before a risky change, comparing two architecture options.
View on GitHubProcess inline review-comment markers left in shared Markdown docs, apply edits in place, preserve history, and flag contradictions instead of guessing.
Use it for: Async doc review between collaborators without a full comment/suggestion system.
View on GitHubTurn every fixed bug into a permanent regression fixture and replay the whole set before you ship anything.
Use it for: Catching regressions on bugs you already fixed, building a growing regression suite from real incidents.
View on GitHubRender any finished deliverable (report, brief, plan, design, mockup) as a self-contained hosted page and hand over the link instead of a terminal dump.
Use it for: Reports, briefs, audits, roadmaps, and design/mockup previews meant to be read, reviewed, or shared.
View on GitHubRoute self-contained work off your primary AI assistant's metered quota onto a secondary backend you already have, then verify the result yourself.
Use it for: Being low on quota, parallelizing independent work, or getting an independent second opinion.
View on GitHubMap every 'done' claim to the specific proof required before you say it out loud.
Use it for: Preventing confidently reporting unverified tests, builds, deploys, or fixes as complete.
View on GitHubA maximum-depth, multi-agent code review that auto-locates the diff, fans out a cross-functional panel, adversarially verifies findings, and synthesizes a prioritized risk register.
Use it for: Pre-merge high-stakes diffs and production-readiness audits.
View on GitHubA looped, dual-verification stress-test and KPI gate to run before calling any non-trivial change 'done'.
Use it for: Wanting genuine walk-away quality on anything non-trivial you've built, fixed, or deployed.
View on GitHubAn end-to-end, self-verifying build pipeline (plan, swarm, docs, QA, code quality, canary, summary) gated stage-by-stage on verification artifacts.
Use it for: A defined-end-state build you want to walk away from and trust came back correct.
View on GitHubMine your own AI-assistant session transcripts for repeated workflow patterns and draft candidate reusable skills, queued for human approval.
Use it for: Discovering which of your repeated multi-step workflows would make good reusable skills.
View on GitHub