architecture-patterns
a5c-ai/babysitter1.8k
a5c-ai/babysitter1.8karchitecture-patterns
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
Code quality & review Skill
235 Skills in “Code quality & review”, ranked by repository stars. Categories are generated automatically and are for reference only.
AllAI & agents1707Docs & office662Frontend572Testing528Projects & collaboration342Databases & data300DevOps & cloud291Science289Code quality & review235Security225Browser automation217
mex-inbox
mex-memory/mex1.8k
mex-memory/mex1.8kmex-inbox
Draft and review contributions to existing MEX project knowledge in the repo wiki. Use when the user wants to capture a team decision, convention, or architecture note, propose an addition or correction for team review, or invokes /mex-inbox or $mex-inbox. Also supports existing Spec proposals. Keywords: mex, project memory, CLAUDE.md, team memory, drift, inbox. Do not activate for brainstorming alone, routine GROW upkeep, email inboxes, session logs, or handoffs.
swift-concurrency
AvdLee/Swift-Concurrency-Agent-Skill1.7k
AvdLee/Swift-Concurrency-Agent-Skill1.7kswift-concurrency
Diagnose Swift Concurrency issues, refactor callback-based code to async/await, and guide Swift 6 migration when working with tasks, actors, @MainActor, Sendable, data races, thread safety, or concurrency-related compiler and linter warnings.
how
michael-denyer/pstack-claude1.7k
michael-denyer/pstack-claude1.7khow
Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motivation.
principle-fix-root-causesmichael-denyer/pstack-claude1.7k
michael-denyer/pstack-claude1.7kprinciple-fix-root-causes
Apply when debugging. Trace each symptom to its root cause and fix it there; reproduce first, ask why until you reach it, resist nil-check guards that silence crashes.
codex-skill
feiskyer/claude-code-settings1.7k
feiskyer/claude-code-settings1.7kcodex-skill
Leverage OpenAI Codex/GPT models for autonomous code implementation, code review, and plan review. Triggers: "codex", "use gpt", "gpt-5", "let openai", "full-auto", "adversarial review", "second opinion review", "用codex", "让gpt实现", "对抗式审查", "让codex审查计划", "第二意见". Use this skill whenever the user wants to delegate coding tasks to OpenAI models, run code or plan reviews via codex, get a second-opinion review from a different model, or execute tasks in a sandboxed environment.
github-review-prfeiskyer/claude-code-settings1.7k
feiskyer/claude-code-settings1.7kgithub-review-pr
Review GitHub pull requests with detailed, multi-perspective code analysis using parallel subagents. Use this skill whenever the user wants to review a PR, asks for code review on a pull request, mentions "review PR", "check this PR", "look at pull request", or references a PR number or GitHub PR URL. Do NOT use for local uncommitted changes — this skill only reviews pull requests on GitHub.
dev-design
codeaholicguy/ai-devkit1.6k
codeaholicguy/ai-devkit1.6kdev-design
AI DevKit · Design phase guidance for reviewing feature design against requirements. Use when the user wants to validate architecture, review design docs, resolve design trade-offs, or run dev-lifecycle phase 3.
dev-prcodeaholicguy/ai-devkit1.6k
codeaholicguy/ai-devkit1.6kdev-pr
AI DevKit · Publish a ready feature branch for review. Use when the user wants to sync, push, and open or update a code review request on GitHub, GitLab, or another Git host.
dev-reviewcodeaholicguy/ai-devkit1.6k
codeaholicguy/ai-devkit1.6kdev-review
AI DevKit · Final code review phase guidance for holistic pre-push review. Use when the user wants code review, final lifecycle review, design alignment checks, integration risk review, or dev-lifecycle phase 9.
dev-worktreecodeaholicguy/ai-devkit1.6k
codeaholicguy/ai-devkit1.6kdev-worktree
AI DevKit · Worktree setup and resume guidance for isolated feature work. Use when starting, resuming, switching, or verifying a feature branch/worktree for lifecycle, debugging, implementation, review, or multi-agent workflows.
refactorcodeaholicguy/ai-devkit1.6k
codeaholicguy/ai-devkit1.6krefactor
AI DevKit · Systematic structural or multi-file refactors across any stack while preserving behavior and public contracts. Use for reorganizing modules, boundaries, naming, APIs/contracts, staged refactor plans, or refactor risk review.
simplify-implementationcodeaholicguy/ai-devkit1.6k
codeaholicguy/ai-devkit1.6ksimplify-implementation
AI DevKit · Analyze and simplify existing implementations to reduce complexity, improve maintainability, and enhance scalability. Use when users ask to simplify code, reduce complexity, refactor for readability, clean up implementations, improve maintainability, reduce technical debt, or make code easier to understand.
agentlas-packaging
agentlas-ai/Agentlas-OS1.6k
agentlas-ai/Agentlas-OS1.6kagentlas-packaging
Use when converting, repairing, or packaging an existing local or external agent/team into Agentlas architecture for local install, Agentlas import, Codex plugin use, Claude adapter use, or open-source release.
hephaestus-stormagentlas-ai/Agentlas-OS1.6k
agentlas-ai/Agentlas-OS1.6khephaestus-storm
Use when the user types /hep-storm or /agentlas-storm, says @Hephaestus storm <goal>, or asks to drive a goal to verified completion through a force-robust Stormbreaker loop. Stormbreaker routes the goal to real Agentlas specialists, materializes a dependency-ordered pipeline fabric, and runs each work packet as a verifier-first hardened loop that does not stall, run away, or claim false success. Use it for loop-worthy work — apps, sites, agents, automations, debugging, multi-step research, data/report generation. Trivial questions are answered directly, not stormed.
llm-runtime-architectureagentlas-ai/Agentlas-OS1.6k
agentlas-ai/Agentlas-OS1.6kllm-runtime-architecture
Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.
parallel-investigation
rohitg00/skillkit1.5k
rohitg00/skillkit1.5kparallel-investigation
Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas. Use when debugging production incidents, slow API performance, multi-system integration failures, or complex bugs where the root cause is unclear and multiple plausible theories exist; when serial troubleshooting is too slow; or when multiple investigators can divide root-cause analysis work. Provides structured phases for problem decomposition, thread assignment, sync points with Continue/Pivot/Converge decisions, and final report synthesis.
minutes-lint
silverstein/minutes1.5k
silverstein/minutes1.5kminutes-lint
Health-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.
agent-design-review
mohitagw15856/pm-claude-skills1.4k
mohitagw15856/pm-claude-skills1.4kagent-design-review
Review an LLM agent design and find where it will be unreliable, expensive, or unsafe. Use when asked to review an agent architecture, critique a multi-step/tool-using agent, debug an agent that loops or goes off-task, or harden an agent before launch. Produces a structured review — task fit, control flow, tools, memory/context, failure handling, cost, and safety — with prioritised findings and fixes.
analyzing-projects
CloudAI-X/claude-workflow-v21.4k
CloudAI-X/claude-workflow-v21.4kanalyzing-projects
Analyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?"
designing-architectureCloudAI-X/claude-workflow-v21.4k
CloudAI-X/claude-workflow-v21.4kdesigning-architecture
Designs software architecture and selects appropriate patterns for projects. Use when designing systems, choosing architecture patterns, structuring projects, making technical decisions, or when asked about microservices, monoliths, or architectural approaches.
audio-design
gamedev-skills/awesome-gamedev-agent-skills1.4k
gamedev-skills/awesome-gamedev-agent-skills1.4kaudio-design
Implement game audio practice — bus/mixer architecture and gain in decibels, ducking (sidechain), adaptive/dynamic music via layering and re-sequencing, SFX variation, and beat synchronization. Engine-neutral. Use when the user mentions audio mixing, audio buses, adaptive/dynamic music, ducking, SFX variation, music layers, or syncing gameplay to the beat.
academic-plotting
OpenRaiser/NanoResearch1.3k
OpenRaiser/NanoResearch1.3kacademic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
autoresearchOpenRaiser/NanoResearch1.3k
OpenRaiser/NanoResearch1.3kautoresearch
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.