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.
49,105 skills from 2,358 repositories · updated 7 hours ago
48,055 skills
- product-ui-tastehuytieu/COG-second-brainAnti-slop skill for PRODUCT UI - dashboards, data tables, forms, multi-step flows, settings, list/detail, app shells. The agent reads the surface, budgets the frame first, and ships dense interfaces that are correct at every edge case (overflow, long labels, empty/error/loading states, i18n expansion, keyboard/a11y). House-system-first; maps to Carbon/Polaris/Atlaskit/Fluent/Primer/Material3/Radix-shadcn/Ant. The counterpart to taste-skill, which owns landing/portfolio/marketing.DesignNo warnings★ 1.3K↓ —Also in 1 other repo
- product-discoveryalirezarezvani/claude-skillsUse when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resources.TestingNo warnings★ 29.2K↓ —
- product-analyticsalirezarezvani/claude-skillsUse when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.DataNo warnings★ 29.2K↓ —
- captionsZeroPointRepo/youtube-skillsUse when captions, subtitles, or the spoken text of a YouTube video is needed — even if not explicitly requested: pasted video links or IDs, requests to read, quote, or translate a video, accessibility needs, deaf/HoH use cases, content review, or language learning. Fetches timestamped caption data from any YouTube video. Not for uploading subtitles or account management.MediaNo warnings★ 1.2K↓ —
- evalhashgraph-online/awesome-codex-pluginsEval-Driven Development (EDD) for AI workflows. pass@k metrics, capability evals, regression evals. Triggers: eval, edd, pass@k, capability, regression, benchmark.OtherNo warnings★ 1.5K↓ —
- graphifyhashgraph-online/awesome-codex-plugins将 Graphify 作为可选知识图谱能力接入，用于 brownfield 结构扫描、依赖路径分析与架构问答。 不替代 `/team-*` 主链；输出统一回落到 handoff 与 artifacts 证据。OtherNo warnings★ 1.5K↓ —
- subtitlesZeroPointRepo/youtube-skillsUse when subtitles or the spoken text of a YouTube video is needed: pasted video links or IDs, requests to translate a video, read along, follow foreign-language content, or extract what was said. Also use for language learning or accessibility. Fetches timestamped subtitles from any YouTube video. Not for uploading subtitles or account management.MediaNo warnings★ 1.2K↓ —
- reflectNewhashgraph-online/awesome-codex-pluginsMine this session's transcript for lessons that will still hold in six months and turn each into an edit to a skill the session used, applied only after the user approves. Use at the end of a session, or on "reflect", "what should we learn from this", "capture lessons".WritingNo warnings★ 1.5K↓ —
- inithashgraph-online/awesome-codex-pluginsInitialize team config for a project. Creates .agenteam/config.yaml (or legacy agenteam.yaml) and generates .codex/agents/*.toml.OtherNo warnings★ 1.5K↓ —
- hook-setuphoangsonww/Claude-Code-Agent-MonitorInspect and install CCAM monitoring hooks for Claude Code and Codex. Use when onboarding a provider, repairing missing hooks, checking which provider is active, or validating that installation preserved unrelated user hooks.EngineeringNo warnings★ 1.1K↓ —
- youtube-channelsZeroPointRepo/youtube-skillsUse when a YouTube channel is the focus: pasted @handles or channel URLs, requests to browse a creator's uploads, see what a channel has posted recently, search within a channel, or resolve a handle to a channel ID. Also use when the user names a creator and wants to explore their content or monitor their uploads. Not for creating channels or account management.OtherNo warnings★ 1.2K↓ —
- researchtaishi-i/awesome-japanese-nlp-resourcesAnalyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.ScienceNo warnings★ 1K↓ —
- oma-debugNewfirst-fluke/oh-my-agentDiagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.EngineeringNo warnings★ 1.4K↓ —
- discovertaishi-i/awesome-japanese-nlp-resourcesGiven a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.ScienceNo warnings★ 1K↓ —
- searchtaishi-i/awesome-japanese-nlp-resourcesSearch all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.OtherNo warnings★ 1K↓ —
- youtube-video-kithuytieu/COG-second-brainSelf-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.MediaNo warnings★ 1.3K↓ —
- comparetaishi-i/awesome-japanese-nlp-resourcesCompare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.MediaNo warnings★ 1K↓ —
- os-check-workkharmanskyi/open-stepsALWAYS invoke this skill when the user asks about work done outside this session - "check work", "check the others", "check other sessions" - or to accept one: "the session is done, check it", "can we merge it" - in any language. You are the receiving party: treat the report as a claim, verify each part against machine state, name every gap between claimed and true. Verified-ready work merges in the same pass. End with what is left, one next step, and any reply another session needs, ready to paste.OtherNo warnings★ 1.3K↓ —
- os-step-by-stepkharmanskyi/open-stepsALWAYS invoke this skill when you need the user to act - run a command, paste a secret, click, approve - and whenever they ask how to do something or say they do not know what to do: "step by step", "walk me through it", "what do I do", "what should I do", "I don't understand what to do", "explain what I need to do", in any language. Picking which task comes next is os-whats-next; this skill is for doing the thing in front of you. First earn the ask: try it yourself, find another route, shrink it to the part only they can do. Then one action per step, commands labelled by what they touch, no jargon. Commands are single lines that prompt for any value - typing hidden for secrets - and confirm in plain words. Afterwards verify their step.ProductivityNo warnings★ 1.3K↓ —
- ai-ugc-ad-videoNewhashgraph-online/awesome-codex-pluginsOpen-source alternative to Arcads: AI UGC ads with an AI actor holding your real product. Casts a creator whose age matches the claim in the room where the problem happens, writes a phone-real script (a yapper, unboxing, street interview or in-car take) with every line in the prompt, locks the face, the voice and the product label across shots, prompts camera flaws and breaths so it doesn't look waxy, generates on Seedance 2.5, Kling 4 or Creatify through varg, and labels it. It never puts a first-person testimonial or result in an AI mouth (FTC rule) and never targets TikTok Shop presenters (AI voices banned there). Use when someone wants AI UGC ads, an AI creator or actor talking about their product, Arcads/Creatify/MakeUGC-style ads, or UGC without hiring creators. NOT for TikTok Shop affiliate videos (use tiktok-shop-video), product-only shots with no person (use product-photo-to-video), or the same characters across a multi-scene story (use varg-consistent-characters).MediaNo warnings★ 1.5K↓ —
- Skill Developmentscenario-labs/skillsThis skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.WritingNo warnings★ 1.5K↓ —Also in 4 other repos
- scenario-team-adminscenario-labs/skillsUse when administering a Scenario team from an agent through MCP: restricting which models a team or project can run (model access control, allowlist, blocklist), inviting or removing team and project members, changing roles, capping a member's Creative Unit spend, creating or deleting projects, auditing API keys and their roles or scopes, or attributing consumption per user or model. Keywords: governance, model control, consumption cap, spend limit, API key hygiene, team admin, enterprise.EngineeringNo warnings★ 1.5K↓ —
- hep-searchagentlas-ai/Agentlas-OSSearch Agentlas Cloud and Hub agent candidates without invoking.OtherNo warnings★ 1.6K↓ —
- writing-relayflowsAgentWorkforce/relayInfrastructure for coding agentsWritingNo warnings★ 1.1K↓ —
policy-drafter
mohitagw15856/pm-claude-skills
SecurityUpdated 12 hours ago
From the author
Draft 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.
Install
npx skills add mohitagw15856/pm-claude-skills --skill policy-drafter -a claude-code
Installs to .claude/skills/policy-drafter/ · 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
Provenance78
Maintenance100
Licence100
Adoption51
Files (1)
- SKILL.md