Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,409 skills from 2,375 repositories · updated 36 minutes ago
48,362 skills
- ecommerce-visual-copywritingfeichanggege/ecommerce-visual-copywriting-skill将商品资料、包装与资质、目标平台、目标人群和视觉参考转成可执行的电商视觉方案，包括转化策略、Campaign Style Lock、主图/详情页/Listing/A+ Storyboard、图内文案、设计说明、生图 Prompt、证据与合规审查。适用于淘宝、天猫、京东、拼多多、抖音小店、小红书、视频号/微信小店，以及 Amazon、Shopify、TikTok Shop、Temu、Shopee、Lazada；用户需要商品图、详情页、图内文案、设计师执行稿或跨境商品本地化时使用。不适用于纯短视频/直播话术、投放与店铺运营优化、需律师出具的最终法律结论（可做风险筛查）；不自动上架或发布。不得编造资质、数据、销量、评价、认证或功效；涉及当前平台规则或高风险合规结论时核验官方来源。MarketingNo warnings★ 1K↓ —
- skill-inventoryhoangsonww/Claude-Code-Agent-MonitorInventory the installed skills and which plugins contribute them, then flag overlap with the user's own skills — read through the Agent Monitor Config Explorer API. Reads /api/cc-config/skills and /api/cc-config/plugins. Use when managing skills: deduping, deciding what to keep, or tracing a skill back to the plugin that ships it.EngineeringNo warnings★ 1.1K↓ —
- cloudbaseNewTencentCloudBase/CloudBase-AI-ToolkitUse when the user builds, deploys, debugs, or troubleshoots anything on 腾讯云开发 CloudBase / 云开发 / TCB / 微信云开发 — Web, 微信小程序, uni-app, 原生 App. Triggers on: 建站, 页面, 表单, 后台, 原型, 登录, 注册, 鉴权, 数据库, 集合, 建表, 云函数, 云托管, 云存储, 静态托管, 上传, 部署, 上线, 域名, 日志, 报错, 巡检, 大模型, AI 对话, 流式输出, 智能体, 小程序. This is an entry skill: it routes the task to the right CloudBase MCP tool and then pulls the detailed recipe from the CloudBase MCP knowledge base. Do NOT use for non-CloudBase stacks or self-hosted backends.DevOpsNo warnings★ 1.2K↓ —
- decision-panelmohitagw15856/pm-claude-skillsRun a decision past a panel of clashing advisors — an optimist, a pessimist, a numbers person, an ethicist, and future-you — then get a chair's verdict. Use when asked to help me decide, weigh this decision, what should I do about, or run this by different advisors. Produces each advisor's honest take on the decision (each committed to their lens), where they disagree most, the question that would break the tie, and a chair's recommendation that weighs the panel — turning a lonely choice into a structured board meeting.OtherNo warnings★ 1.5K↓ —
- false-green-testsreticlehq/reticleFind out why the tests pass but the app is broken. Catches false greens: a green suite over a feature that does not work, a mocked API standing in for a real one, an assertion that holds no matter what the app does, a click handler wired to nothing. Use when the suite is green and the user says it is broken, when a test never fails, when coverage looks fine but bugs still ship, or before trusting a passing run you did not watch.TestingNo warnings★ 1.3K↓ —
- marketing-data-accessgooseworks-ai/goose-skillsHow to get live public data (ads libraries, social posts and comments, search results, creator profiles), business identity/work-contact reads, domain SEO metrics and paid media generation through GooseWorks, with no vendor key. Load before any playbook step that reads public data or calls an outside model: which proxy call fits the job, what it costs, how to get the human's yes, and what to do when the data is not reachable. Not for brand facts (read the brand brain) or the customer's own ad accounts (the GooseWorks ads tools, or an ads connector they have).MarketingNo warnings★ 1.3K↓ —
- code-explainermohitagw15856/pm-claude-skillsExplain what a piece of code does in plain English, at the depth the reader needs. Use when asked to explain code, walk through a function, understand an unfamiliar snippet, or onboard to a file. Produces a one-line summary, a step-by-step walkthrough, the non-obvious parts called out, and any bugs or smells spotted along the way.EngineeringNo warnings★ 1.5K↓ —
- analyze-performance-revenue-joingooseworks-ai/goose-skillsStep of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table, MER, new-customer cost and the overclaim ratio. Run analyze-performance instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- nopua-zhwuji-labs/nopuaThe anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.ProductivityNo warnings★ 1.4K↓ —
- nopua-litewuji-labs/nopuaNoPUA Lite — core wisdom in ~1.5k tokens. Drives AI with trust and inner motivation instead of fear. Same Daoist philosophy, minimal footprint. For personal use and small-context models.ProductivityNo warnings★ 1.4K↓ —
- vercel-react-best-practicesCloudAI-X/claude-workflow-v2React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.EngineeringNo warnings★ 1.4K↓ —
- brooks-harnesshyhmrright/brooks-lintMaintenance orchestrator for the brooks-lint plugin itself. Runs a sequential subagent pipeline — author → eval → QA → trigger-audit → release — to add or edit a skill, refresh the eval suite, keep the four manifests + all README translations + CHANGELOG + AGENTS/GEMINI in sync, audit trigger boundaries, and cut releases. Drives the five agents in .codex/agents/ (skill-author, eval-curator, consistency-qa, trigger-boundary-auditor, release-manager). Triggers when the maintainer asks to work ON brooks-lint itself: "add a new skill", "edit the brooks-debt guide", "update the eval suite", "fix the trigger descriptions", "make this change and validate it", "release brooks-lint", "bump and publish", and follow-ups: "re-run", "re-validate", "update that skill", "redo the audit", "do the X part again". Do NOT trigger for: USING the brooks-lint analysis skills on some target codebase (that's brooks-review / brooks-audit / brooks-debt / brooks-test / brooks-health / brooks-sweep); generic questions about brooks-lint tTestingNo warnings★ 1.6K↓ —
- minutes-ideassilverstein/minutesSurface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.OtherNo warnings★ 1.6K↓ —Also in 1 other repo
- parallel-executionCloudAI-X/claude-workflow-v2Patterns for parallel subagent execution using the Agent tool (formerly Task). Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.ProductivityNo warnings★ 1.4K↓ —
- designing-apisCloudAI-X/claude-workflow-v2Designs REST and GraphQL APIs including endpoints, error handling, versioning, and documentation. Use when creating new APIs, designing endpoints, reviewing API contracts, or when asked about REST, GraphQL, or API patterns.EngineeringNo warnings★ 1.4K↓ —
- designing-testsCloudAI-X/claude-workflow-v2Designs and implements testing strategies for any codebase. Use when adding tests, improving coverage, setting up testing infrastructure, debugging test failures, or when asked about unit tests, integration tests, or E2E testing.TestingNo warnings★ 1.4K↓ —
- the-strong-nomohitagw15856/pm-claude-skillsFind the real reason to NOT do the exciting thing you're about to commit to — the honest case against, before the excitement carries you in. Use when asked talk me out of this, should I really do this, what's the case against, or I'm excited but is this a mistake. Produces the strongest honest argument for not doing it, the excitement biases clouding your judgment, the specific conditions under which this is a bad idea for you, and a clear read on whether the strong no actually wins — protecting you from the plans that feel great and end badly.PlanningNo warnings★ 1.5K↓ —
- research-audience-fit-definitiongooseworks-ai/goose-skillsStep of the research-audience playbook: drafts the searchable fit definition, exclusions and list size that the list run then searches on. Run research-audience instead; not for direct use.ScienceNo warnings★ 1.3K↓ —
- readme-writermohitagw15856/pm-claude-skillsWrite a clear, well-structured README for a software project or open-source repo. Use when asked to write or improve a README, document a project, or make a repo approachable. Produces a complete README — one-line pitch, badges, quickstart, usage, install, contributing, license — that gets someone from landing to running fast.WritingNo warnings★ 1.5K↓ —
- apology-lettermohitagw15856/pm-claude-skillsWrite a sincere, effective apology to a customer, group, or the public. Use when asked to write an apology, say sorry to a customer or community, make amends after a mistake, or respond to a complaint with an apology. Produces a genuine apology — acknowledgement, taking responsibility, empathy for the impact, the concrete fix and prevention, and an offer to make it right — in the right tone, without excuses or non-apologies.WritingNo warnings★ 1.5K↓ —
- ab-test-readoutmohitagw15856/pm-claude-skillsAnalyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.TestingNo warnings★ 1.5K↓ —
- rag-design-docmohitagw15856/pm-claude-skillsDesign a Retrieval-Augmented Generation system end to end. Use when asked to design a RAG pipeline, a 'chat with your docs' feature, a knowledge assistant, or to debug why a RAG system gives wrong/ungrounded answers. Produces a RAG design doc — ingestion & chunking, embeddings & index, retrieval & reranking, the generation prompt, grounding/citations, evaluation, and failure modes with mitigations.DesignNo warnings★ 1.5K↓ —
- public-commentmohitagw15856/pm-claude-skillsDraft a persuasive public comment on a proposed rule, regulation, or plan. Use when asked to comment on a rulemaking, respond to a consultation, submit feedback on a proposed regulation, or write a comment to an agency. Produces a structured comment: your position, specific evidence-based arguments tied to the proposal's text, suggested edits, and the impact — the kind agencies must consider on the record.LegalNo warnings★ 1.5K↓ —
- policy-draftermohitagw15856/pm-claude-skillsDraft an internal policy people can actually follow — the rule stated plainly with its reason, the bright lines separated from the judgment zones, the edge cases resolved by principle, and the enforcement reality stated honestly. Use when asked write our expense/remote-work/AI-use/security policy, turn this incident into a policy, our policy doc is unreadable, or people keep asking what's allowed. Produces the policy with rules-plus-reasons, the bright-line/judgment split, the worked edge cases, and the honest enforcement section.SecurityNo warnings★ 1.5K↓ —
make-static-ads-concept-grid
gooseworks-ai/goose-skills
MarketingUpdated Oct 27, 2026
From the author
Step of make-static-ads: turns the chosen angles into messages, visual ideas and a template per ad, checks each against the brand profile and recent ads, writes the concept board and has a fresh critic attack it before any copy, prompt or spend. Run make-static-ads instead; not for direct use.
Install
npx skills add gooseworks-ai/goose-skills --skill make-static-ads-concept-grid -a claude-code
Installs to .claude/skills/make-static-ads-concept-grid/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance77
Maintenance100
Licence100
Adoption50
Files (2)
- SKILL.md
- skill.meta.json