代码评审
自动化代码审查与分析
transcript-analyzer
glebis
This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b). Use this skill when the user asks to analyze a transcript, extract action items from meetings, find decisions in conversations, build glossaries from discussions, or summarize key points from recorded meetings.
agency-docs-updater
glebis
End-to-end pipeline for publishing Claude Code lab meetings. Automatically finds/creates Fathom transcript, downloads video, uploads to YouTube, generates fact-checked Russian summary, creates MDX documentation, and pushes to agency-docs for Vercel deployment. Single invocation replaces 5+ manual steps.
review-prs
vinta
Triage open PRs — screen from the diff, delegate the admission judgment to audit-the-list, then merge or close on GitHub. Fire when the maintainer asks to review PRs, process the PR queue, or judge whether a specific PR should be merged.
/a11y-ally - Comprehensive Accessibility Audit
proffesor-for-testing
Agentic QE Fleet is an open-source AI-powered quality engineering platform designed for use with Claude Code, featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
apex-review
jeremylongshore
Cross-cutting review of recent work — catches gaps between specialists. Use when asked to "review what we built", "check the work", "pre-launch review", or after completing a significant chunk of work.
hyperflow-dispatch
jeremylongshore
Hyperflow execution phase. Use when a task file exists in .hyperflow/tasks/ and the work needs building — verbs like build, implement, add, refactor, "wire up", "run the plan", "execute the task". Works batches sequentially with self-review and per-task commits. In Antigravity there is no sub-agent fan-out — the single agent does each batch itself.
arXiv Figure Optimizer
Mathews-Tom
Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously.
repo-tutor
Mathews-Tom
'Use when a user supplies a local repository path or remote Git URL and asks to "teach me this repo", "explain this codebase simply", "show how this system works", "help me use this project", "onboard me to this repository", or "show me how to build on it", especially when the result should be a visual or multipage HTML guide. Not for audits, API references, or architecture-only diagrams.'
skill-distiller
Mathews-Tom
'Converts Opus-quality skills into deterministic Haiku-executable workflows via trace-driven distillation and cross-model validation. Triggers on: "distill this skill", "make this skill work on Haiku", "cross-model optimization", "optimize skill for cost". NOT for code simplification, use code-refiner.'
plan-review
Mathews-Tom
'Pre-implementation plan audit stress-testing scope, assumptions, risks, and failure modes before code is written. Triggers on: "review this plan", "is this plan solid", "what am I missing", "challenge my assumptions", "stress-test this", "/plan-review".'
devils-advocate
Mathews-Tom
'Challenges AI-generated plans, code, and designs via pre-mortem, inversion, and Socratic questioning to surface blind spots and failure modes. Triggers on: "challenge this", "devils advocate", "stress test this plan", "poke holes in this", "what am I missing".'
engineering-retro
Mathews-Tom
'Git-based engineering retrospective analyzing commits, PRs, and velocity over configurable windows with monorepo path scoping. Triggers on: "retrospective", "sprint retro", "weekly review", "what did we ship", "engineering retro", "dev summary", "commit analysis".'
codebase-advisor
Mathews-Tom
'Senior codebase advisor that audits a repository, vets findings, and writes self-contained implementation plans for other agents to execute. Triggers on: "write improvement plans", "create an implementation backlog", "audit and plan fixes", "turn findings into plans", "agent-executable plans", "reconcile plans", "execute this plan", "what should we improve next". Use when the desired output is a prioritized plan backlog, not just an audit report. NOT for report-only quality gates; use codebase-auditor.'
ab-test-analysis
nimrodfisher
Rigorous A/B test statistical analysis. Use when analyzing experiment results, calculating statistical significance, checking for sample ratio mismatch, or validating test design before launch.
commit-workflow
fcakyon
This skill should be used when user asks to "commit these changes", "write commit message", "stage and commit", "create a commit", "commit staged files", or runs /commit-staged or /commit-creator commands.
ghx
holon-run
"GitHub enhanced operations skill. Provides unified context collection and publishing commands for PR/issue workflows."
github-pr-fix
holon-run
"Fix pull requests based on review feedback and CI failures. Use when: (1) Addressing PR review comments, (2) Fixing CI/test failures, (3) Resolving merge conflicts, (4) Implementing requested changes."
release
richlander
Use when shipping a new dotnet-inspect version; coordinate certification, NuGet and GitHub publication, and the matching dotnet-inspect.net production deployment.
deep-inspect
richlander
Use when a dotnet-inspect change needs expensive evidence outside normal PR CI, or when preparing release certification; coordinate Deep Inspect lanes (full slow tests, cross-platform certification, IL round-trip sweep, corpus sensors, package discovery, validity scans, and analysis census).
release
manaflow-ai
"Prepare and ship a cmux release end-to-end: choose the next version, curate user-facing changelog entries, bump versions, open and monitor a release PR, merge, tag, and verify published artifacts. Use when asked to cut, prepare, publish, or tag a new release."
pr-build-status
dotnet
"Retrieve Azure DevOps build information for GitHub Pull Requests, including build IDs, stage status, failed jobs, and Helix console logs for any Helix-based test failures."
stream-coding
frmoretto
Documentation-first development methodology. The goal is AI-ready documentation - when docs are clear enough, code generation becomes automatic. Triggers on "Build", "Create", "Implement", "Document", or "Spec out". Version 3.5 adds Phase 2.5 Adversarial Review and renames internal verification to Spec Gate (structural completeness). Clarity Gate is now a separate standalone tool for epistemic quality.
data-analyzer
cisco-ai-defense
Analyze data efficiently
yt-competitive-analysis
ericosiu
Analyze YouTube channels for outlier videos and packaging patterns. Identifies what's working (2x+ average views) across any set of channels. Use when asked for YouTube competitive analysis, viral video patterns, or packaging/title inspiration.