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.
48,168 skills from 2,325 repositories · updated 4 hours ago
48,168 skills
- trailmark-summarytrailofbits/skillsRuns a Trailmark summary analysis on a codebase. Returns auto-detected languages, entry point count, and dependency list. Use when vivisect or galvanize needs a quick structural overview. Triggers: trailmark summary, code summary, structural overview.ProductivityNo warnings★ 7.9K↓ —
- figma-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Figma REST API rate limits with exponential backoff and request queuing. Use when encountering 429 errors, implementing retry logic, or optimizing API request throughput for Figma. Trigger with phrases like "figma rate limit", "figma throttling", "figma 429", "figma retry", "figma backoff".DesignNo warnings★ 2.9K↓ —
- clade-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Anthropic rate limits — understand tiers, implement backoff, Use when working with rate-limits patterns. optimize throughput, and monitor usage. Trigger with "anthropic rate limit", "claude 429", "anthropic throttling", "anthropic usage limits", "claude tokens per minute".OtherNo warnings★ 2.9K↓ —
- figma-hello-worldjeremylongshore/tons-of-skills-marketplaceMake your first Figma REST API call to fetch a file and inspect its node tree. Use when starting a new Figma integration, testing API connectivity, or learning the Figma document structure. Trigger with phrases like "figma hello world", "figma first call", "figma quick start", "fetch figma file".DesignNo warnings★ 2.9K↓ —
- whybacknotprop/pstackUse for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.DevOpsNo warnings★ 3.3K↓ —
- skill-article-outlineZJU-REAL/Easel生成长文大纲:基于搜索分析生成 H2/H3 标题结构、段落字数目标、图表位置和 FAQ 规划,适用于公众号文章、知乎专栏、博客。 当用户说"文章大纲""长文结构""公众号大纲""知乎回答框架""写作提纲""文章框架""H2/H3 结构"时使用。WritingNo warnings★ 4.2K↓ —
- risk-analysisjeremylongshore/tons-of-skills-marketplaceAnalyze supplied contract clauses and prepare an evidence-linked issue register with triggers, possible impacts and questions for review. Use when assessing contract risks from an identified party's perspective. Trigger with "risk-analysis" or "what are the risks in this contract".LegalNo warnings★ 2.9K↓ —
- thermosmichael-denyer/pstack-claudeLaunch both thermo-nuclear review subagents in parallel, then synthesize their findings. Use for thermos, double thermo review, or combined bug/security and code-quality branch audits.SecurityNo warnings★ 3.7K↓ —
- tao-generate-anomaliesNVIDIA/skillsFull PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (Phase 0, 2→7: generate from an existing checkpoint). Use when the user asks to "fine-tune AnomalyGen", "generate anomaly images", "run PAIDF SDG", "evaluate SDG output quality", "run per-sample search", or run any part of the AnomalyGen pipeline, even if they only mention one phase.OtherNo warnings★ 3.8K↓ —
- teachmichael-denyer/pstack-claudeExplain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'.OtherNo warnings★ 3.7K↓ —
- provider-test-patternshashicorp/agent-skillsTerraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import testing with ImportStateKind, sweepers, and scenario patterns (basic, update, disappears, validation, regression), and ephemeral resource testing with the echoprovider package. Use when writing, reviewing, or debugging provider acceptance tests, including questions about statecheck, plancheck, TestCheckFunc, CheckDestroy, ExpectError, import state verification, ephemeral resources, or how to structure test files.OfficialTestingNo warnings★ 910↓ —
- figma-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Figma API usage to minimize costs and stay within plan limits. Use when analyzing request volumes, reducing unnecessary API calls, or choosing the right Figma plan for your integration needs. Trigger with phrases like "figma cost", "figma pricing", "reduce figma API calls", "figma plan limits", "figma budget".DesignNo warnings★ 2.9K↓ —
- changelog-videoheygen-com/hyperframesTurn a weekly changelog .md into a finished branded changelog video (square 1080, ~45-60s, Annie VO, animated brand background, mock-UI visualizations, lowkey captions). Use when the user provides a changelog/digest markdown and wants the weekly video, or says "changelog video". Self-contained — fonts, background, lexicon, and scripts ship in this skill.OfficialMediaNo warnings★ 76.3K↓ —Also in 1 other repo
- skill-risk-scannerZJU-REAL/Easel内容原创度与版权风险评估:分析文案是否存在洗稿/搬运嫌疑,评估素材版权风险, 检查引用规范。基于 LLM 文本分析,不包含技术查重。 当用户说"查重"、"原创度"、"是不是抄的"、"版权风险"、"能不能用这张图"、 "音乐版权"、"原创检测"、"有没有侵权"、"素材版权"、"会不会被投诉"时触发。 和 skill-quality-gate 的区别:quality-gate 查敏感词和平台规则合规, risk-scanner 专注原创度和版权侵权风险。OtherNo warnings★ 4.2K↓ —
- windows-builderhashicorp/agent-skillsBuild Windows images with Packer using WinRM communicator and PowerShell provisioners. Use when creating Windows AMIs, Azure images, or VMware templates.OfficialDevOpsNo warnings★ 910↓ —
- ib-check-deckanthropics/financial-servicesInvestment banking presentation quality checker. Reviews a pitch deck or client-ready presentation for (1) number consistency across slides, (2) data-narrative alignment, (3) language polish against IB standards, (4) visual and formatting QC. Use whenever the user asks to review, check, QC, proof, or do a final pass on a deck, pitch, or client materials — including requests like "check my numbers", "reconcile figures across slides", "is this client-ready", or "what am I missing before I send this out".OfficialDocumentsNo warnings★ 40.9K↓ —Also in 1 other repo
- figure-it-outmichael-denyer/pstack-claudeDesign an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use for /figure-it-out or 'figure it out'.DesignNo warnings★ 3.7K↓ —
- gsd:reviewdavepoon/buildwithclaudeRequest cross-AI peer review of phase plans from external AI CLIsEngineeringNo warnings★ 3.7K↓ —
- memoryjeremylongshore/tons-of-skills-marketplaceUse when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data). Memory harness is filter/perception oriented; calling on write-heavy tasks produces scaffold paralysis.ProductivityNo warnings★ 2.9K↓ —
- hex-ci-integrationjeremylongshore/tons-of-skills-marketplaceConfigure Hex CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Hex tests into your build process. Trigger with phrases like "hex CI", "hex GitHub Actions", "hex automated tests", "CI hex".TestingNo warnings★ 2.9K↓ —
- conversion-signal-qaaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "QA my conversion tracking before launch", "check my UTMs / pixel / event firing", "set up a tracking pre-flight", or "set the dedup rule so Meta and Google stop double-counting"; builds and fixes the measurement plumbing — conversion-event firing, UTM hygiene, cross-platform dedup rules, attribution-window alignment, and offline/iOS-ATT modeled-gap flags — as a pre-flight checklist plus a UTM/event-spec builder. Not for scoring R1/R2 — that is a scored veto in ad-account-auditor; not for account structure — use campaign-architect. 付费广告转化追踪QA/UTM规范/跨平台去重TestingNo warnings★ 3K↓ —
- paid-ads-chatgptnowork-studio/notfair-pluginPlan and review ChatGPT Ads experiments without assuming ad inventory, account access, or platform capabilities. Use for ChatGPT advertising, OpenAI ads, conversational ad concepts, ChatGPT campaign plans, or performance reviews from a verified export.MarketingNo warnings★ 4.1K↓ —
- code-slice-heroheygen-com/hyperframesA tiled headline surface flips cell by cell under a sweeping depth field to reveal the rear headline. HyperFrames block, 1920×1080, 8s, 18 variables.OfficialEngineeringNo warnings★ 76.3K↓ —
- holoscan-install-wheelNVIDIA/skillsInstall Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.EngineeringNo warnings★ 3.8K↓ —
mass-ulw
code-yeongyu/oh-my-openagent
From the author
Drives dependency-ordered child work through the native workflow tool, each phase's stages defined up front in one run, with retry/amend/send recovery. Use when the user asks for mass-ulw, a DAG of tasks, or fan-out work where some tasks must wait on others.
Install
npx skills add code-yeongyu/oh-my-openagent --skill mass-ulw -a claude-code
Installs to .claude/skills/mass-ulw/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 90
Files (2)
- SKILL.md
- references/planning.md