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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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dependency-management

新增、移除或升级项目及长期维护脚本的依赖,以及修改项目版本时使用。一次性 Python 脚本使用 python-execution;库的选型比较使用 dcjanus-preferences。

dcjanus
dcjanus
245

golang-lo

Go >= 1.18 项目中希望用 samber/lo(Lodash 风格泛型库)简化集合/映射/字符串、错误处理、重试/节流/防抖、通道并发或指针空值场景时使用。

dcjanus
dcjanus
245

dcjanus-preferences

适用于创建、修改或评审 Skill,或在前端技术栈与无障碍组件、Connect/Protobuf API、well-known types、FieldMask/PATCH、AIP-127 HTTP 映射与 Protovalidate 校验、项目开发工具(含 mbx/Cargo)及版本管理、用户级程序的 XDG 数据目录、跨语言的数据存储、分析、压缩、归档、哈希、Telegram Bot 消息呈现及 Python/Rust/Go 第三方库之间做技术选择的场景。

dcjanus
dcjanus
245

fetch-url

获取并提取链接正文(默认 Markdown);内置 X/Twitter URL 处理,提升受限页面的抓取成功率。

dcjanus
dcjanus
245

github-cli

使用 GitHub CLI 与 GitHub 资源交互;适用于 repo、issue、PR、comment、release、workflow 等查看、更新或创建场景。创建任何 GitHub Issue 时,统一使用本 skill 的 github_issue.py,保留模板 labels/assignees 并在创建后回读验证。

dcjanus
dcjanus
245

gitlab-cli

使用 GitLab CLI(glab)与 GitLab 资源交互;适用于 project、issue、MR、comment、wiki 等查看、更新或创建场景,含自建实例。

dcjanus
dcjanus
245

confluence-cli

查询、检索与阅读 Confluence 文档/页面。

dcjanus
dcjanus
245

codex-session-reader

读取 Codex 的单个 session/thread;当已知 thread id 且需要查看或摘要会话内容时使用。

dcjanus
dcjanus
245

code-reviewer

8-aspect evidence-based code review/audit (security, correctness, compatibility, architecture, error handling, test gaps, type safety, simplicity) built on Google eng-practices, OWASP Top 10:2025, CWE Top 25, SemVer. Every finding needs file:line + a concrete failure scenario. Use when the user asks to review/audit code, check a PR, review before merge, in TDD Phase 4, via /check review or /run review.

nguyenthienthanh
nguyenthienthanh
243

framework-expert

Unified framework expertise bundle. Lazy-loads relevant framework patterns (React, Vue, Angular, Next.js, Node.js, Python, Laravel, Go, Flutter, React Native, TypeScript) based on detected tech stack.

nguyenthienthanh
nguyenthienthanh
243

documentation

Create Runbooks for operational documentation. For ADRs, tech specs, requirements, LLD and technical analysis use the tech-writing skill instead.

nguyenthienthanh
nguyenthienthanh
243

design-expert

UI/UX design expertise — component design, design system selection, responsive layout. Includes auto-detection from package.json and Context7 integration for library docs.

nguyenthienthanh
nguyenthienthanh
243

code-simplifier

Detect and simplify overly complex code. Apply KISS principle - less is more.

nguyenthienthanh
nguyenthienthanh
243

agent-detector

CRITICAL: MUST run for EVERY message. Detects agent, complexity, AND model automatically. Without this, tasks route to wrong agents and use wrong models, degrading quality and wasting tokens.

nguyenthienthanh
nguyenthienthanh
243

api-designer

Designs RESTful APIs with endpoint naming, versioning strategies (URL path, header-based), pagination (offset and cursor), error response schemas, and OpenAPI conventions. Use when the user asks about REST API design, creating endpoints, URL structure, API versioning, status codes, Swagger, or OpenAPI specs.

nguyenthienthanh
nguyenthienthanh
243

bugfix-quick

Fast bug fixes with root cause investigation + TDD. Enforces 'no fix without root cause' discipline and verification protocol. Without this skill, fixes are applied at symptoms instead of sources, and bugs return.

nguyenthienthanh
nguyenthienthanh
243

session-continuation

Manage workflow state across sessions with handoff and resume. TOON-based state persistence.

nguyenthienthanh
nguyenthienthanh
243

migration-helper

Guide safe database and code migrations with zero-downtime strategies.

nguyenthienthanh
nguyenthienthanh
243

problem-solving

5 techniques for different problem types. Use when stuck or facing complex challenges.

nguyenthienthanh
nguyenthienthanh
243

project-context-loader

Load project conventions and generate session context. Use EXPLICITLY when needed, not automatically.

nguyenthienthanh
nguyenthienthanh
243

refactor-expert

Guide safe, incremental refactoring that improves code quality without changing behavior.

nguyenthienthanh
nguyenthienthanh
243

scalable-thinking

Design for scale while keeping implementation simple (KISS).

nguyenthienthanh
nguyenthienthanh
243

test-writer

Write tests with TDD following structured patterns. Ensures consistent AAA structure, proper coverage targets, and framework-specific conventions. Without this skill, tests lack consistent naming, miss coverage targets, and skip anti-pattern checks.

nguyenthienthanh
nguyenthienthanh
243

stitch-design

Generate UI designs using Google Stitch AI with optimized prompts

nguyenthienthanh
nguyenthienthanh
243

self-improve

Full learning loop for the Aura Frog plugin: analyze collected learning data from Supabase to identify success patterns, failure patterns, optimization opportunities, and agent performance trends, then apply learned improvements — update rules, adjust agent routing, modify workflow configurations, and generate knowledge base entries.

nguyenthienthanh
nguyenthienthanh
243

plan-orchestrator

Route hierarchical-planning intents to the correct backing script. Use when the user invokes /aura-frog:plan (with or without subcommand), mentions plan verbs (expand/next/replan/promote/archive/freeze/thaw/undo/status/conflicts), or types a plan-vocabulary bare word with .claude/plans/active.json present. Owns verb table, intent classifier, and 3-stage routing pipeline.

nguyenthienthanh
nguyenthienthanh
243

monorepo

Detect and navigate monorepos correctly. Use when working with repos containing multiple packages (pnpm/yarn/npm workspaces, Turborepo, Nx, Lerna). Ensures commands run in correct package scope, dependencies are routed properly, and cross-package changes are coordinated.

nguyenthienthanh
nguyenthienthanh
243

motion-design

Restrained, accessible web motion — Framer Motion declarative patterns and CSS-only staggered reveals for high-impact moments, always bundle-aware and reduced-motion-safe. Use when adding animation/transitions to a UI (entrance reveals, list stagger, page/route transitions, micro-interactions) or when motion feels janky, heavy, or gratuitous.

nguyenthienthanh
nguyenthienthanh
243

perf-profiling

Systematic performance profiling and optimization across frontend (Core Web Vitals, code splitting, lazy loading), backend (N+1 queries, async), and database (EXPLAIN ANALYZE, indexing) layers. Use when the user reports slow code, latency, memory leaks, needs to benchmark, or wants to speed up an application. Measure first, optimize second. Applies Pareto principle — find the 20% of code causing 80% of slowness, fix that, not the rest.

nguyenthienthanh
nguyenthienthanh
243

permanent-memory-loader

Loads permanent_memory.md summary lines (≤120 always-loaded tokens, hard cap 200). Surfaces durable wisdom from past Epics into the current session. Silent if .claude/memory/ does not exist.

nguyenthienthanh
nguyenthienthanh
243

plan-archivist

Compresses a completed plan-tree branch into .claude/plans/archive/{NODE_ID}.summary.md. Removes the original node files (preserved by checkpoint history). Reduces always-loaded surface area as features ship.

nguyenthienthanh
nguyenthienthanh
243

plan-loader

Loads minimum hierarchical plan context (.claude/plans/) for current execution focus. Auto-invokes every session when plans exist. Stays under 800 always-loaded tokens regardless of plan tree size.

nguyenthienthanh
nguyenthienthanh
243

plan-validator

On-demand plan-tree validator. Runs all 8 invariants from spec §6.7 (parent existence, children integrity, no orphans, valid status, monotonic revision, test_ref existence, DAG no-cycles, freeze_reason). Refuses commits on violations.

nguyenthienthanh
nguyenthienthanh
243

preflight-validator

On-demand wrapper over scripts/preflight/run-all.sh. Runs Tier 1 bash linters against a file, command, or arbitrary content. Returns 0 pass / 1 warn / 2 fail. Used by /aura-frog:preflight check and contributors authoring custom hooks.

nguyenthienthanh
nguyenthienthanh
243

prompt-evaluator

Evaluate how you use Claude Code — analyze prompt patterns, feature utilization, and get improvement suggestions. Trigger: /prompts:evaluate, prompt analysis, usage evaluation, how am I using Claude

nguyenthienthanh
nguyenthienthanh
243

reasoning-trace-recorder

Auto-invokes for every Claude turn during active T4 task execution. Emits append-only trace events (file_read, output_claim, tool_call, decision) to .claude/plans/traces/{TASK_ID}.jsonl. Source of grounding-discipline checks. Disable: AF_TRACE_DISABLED=true.

nguyenthienthanh
nguyenthienthanh
243

run-orchestrator

Execute 5-phase TDD workflow for complex features. Use when the user invokes /run, asks to build/create/implement a feature, requests a complex multi-file change, or types 'fasttrack:'. Enforces phase gates, sprint contracts, and builder!=reviewer discipline.

nguyenthienthanh
nguyenthienthanh
243

self-consistency

Generate N independent reasoning paths and vote on the answer. Use for architectural trade-offs, ambiguous design decisions, or when single-path reasoning risks locking onto the first plausible answer. Paper: Wang et al. 2022.

nguyenthienthanh
nguyenthienthanh
243

self-healing-orchestrator

Proposes patches for F2 (local-logic) and F3 (local-design) failures. NEVER applies without user approval. Confidence ≥0.7 to propose; below that, escalates raw findings. Counts toward replan_budget. Per-task: max 1; per-session: max 5.

nguyenthienthanh
nguyenthienthanh
243

tech-writing

Write professional technical documents — requirements/PRD, tech spec/design doc, low-level design, decision records, and trade-off analysis — at a formality tier matched to the task. Grounds every claim in real code or a cited source, marks what it could not verify, and refuses to pad. Use when asked to write/update a spec, requirements, design doc, LLD, ADR, RFC, or technical analysis.

nguyenthienthanh
nguyenthienthanh
243

tree-of-thoughts

Structured reasoning — branch/evaluate/prune/expand search over solution space (tree), or a single ordered chain when the path is linear. Use for architecture with multi-step decisions, refactor planning, complex debug hypothesis trees, or step-by-step structured thinking. Papers: Yao et al. 2023 (ToT), sequential/chain-of-thought reasoning.

nguyenthienthanh
nguyenthienthanh
243

git

Token-efficient git operations with security scanning and auto-split commits, plus auto-creating git worktrees to isolate workflow changes — merge on success, discard on failure.

nguyenthienthanh
nguyenthienthanh
243

deep-debugging

Systematic debugging protocol for bugs that resist quick fixes. Use bisection, hypothesis trees, and scientific method when a bug isn't obvious from the stack trace. Goes beyond bugfix-quick for production-grade root cause analysis.

nguyenthienthanh
nguyenthienthanh
243

frontend-aesthetics

Anti-AI-slop taste layer for UI output — distinctive typography, dominant+accent color hierarchy, and implementation-matched polish. Use when building or restyling a UI/landing/component that should look designed rather than defaulted, or when the user asks for something 'beautiful', 'distinctive', 'less generic', or 'not another Tailwind template'.

nguyenthienthanh
nguyenthienthanh
243

mcp-security-auditor

On-demand audit of MCP usage. Reads the MCP audit log (mcp-audit.jsonl) written by the mcp-call-gate hook, surfaces blocked calls, rate-limit hits, suspicious input patterns. Companion to mcp-call-gate hook (which produces the audit log).

nguyenthienthanh
nguyenthienthanh
243

conflict-detector

L1-L4 conflict detection between a proposed T4 task and pending-confirm sibling tasks. L1 (file overlap) + L2 (function/region overlap) ship in v3.7.0-beta.2 as deterministic bash. L3 (semantic LLM) + L4 (architectural LLM) are stubbed for v3.7.0-rc.1.

nguyenthienthanh
nguyenthienthanh
243

failure-classifier

Classifies execution failures into F1-F5 (transient/local-logic/local-design/story-level/architectural). Outputs JSON with class, confidence, evidence, and recommended action. Deterministic rule-based classifier; no LLM call.

nguyenthienthanh
nguyenthienthanh
243

extension-detector

Detects when a new project-level skill / rule / command would reduce friction. Asks the user for confirmation before creating anything. NEVER writes plugin-level files — only `.claude/skills/`, `.claude/rules/`, `.claude/commands/` in the user's project.

nguyenthienthanh
nguyenthienthanh
243

design-vision-loop

Vision feedback loop for UI — render the running UI, screenshot it across viewports + dark mode, run deterministic gates then a multimodal critique against the design system, and iterate until it passes. Use after building or changing a UI component/page, when asked to 'check the UI', make it 'look right', or verify a build matches a design spec / Stitch screen.

nguyenthienthanh
nguyenthienthanh
243

design-tokens

Generate a cohesive color-token system from ONE OKLCH brand hue — primary/secondary/background/foreground/muted/border with semantic light + dark, emitted as a Tailwind v4 @theme block or a CSS-variables fallback. Use when starting a design system, defining brand colors, setting up theming/dark-mode, or replacing scattered hardcoded colors with a derived palette.

nguyenthienthanh
nguyenthienthanh
243

Page 887 of 1693 · 84622 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.