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.
23,820 skills from 876 repositories · updated 4 minutes ago
4,997 skills
- b-roll-shot-listOotto-AI/claude-content-skillsTurns a script into a shoot-ready shot list — every clip, angle and visual you need to film, in order. Use when the user says "what do I need to film", "shot list for this", "b-roll list", "how do I shoot this reel".OtherNo warnings★ 264↓ —
- comment-responderOotto-AI/claude-content-skillsTurn every comment into a lead on autopilot. Claude watches your new comments, posts a friendly public reply (never a link), and DMs the commenter your lead magnet / resource — then logs them as a lead. Use when the user says "auto reply to comments", "DM everyone who comments", "comment to DM", "lead magnet automation", "turn comments into leads", "auto-respond", or "capture leads from a reel".OtherNo warnings★ 264↓ —
- best-time-schedulerOotto-AI/claude-content-skillsRecommends the posting times and weekly cadence that fit your audience's actual activity windows. Use when the user says "when should I post", "best time to post", "posting schedule", "how often should I post".OtherNo warnings★ 264↓ —
- bio-profile-optimizerOotto-AI/claude-content-skillsRewrites your bio, name field and pinned-reel order to convert profile visits into follows and clicks. Use when the user says "rewrite my bio", "optimize my profile", "what should my bio say", "which reels should I pin".OtherNo warnings★ 264↓ —
- content-pillar-builderOotto-AI/claude-content-skillsDefines the 3-5 themes your account posts against, so every reel ladders up to a clear position. Use when the user says "what are my content pillars", "define my themes", "what should my account be about".OtherNo warnings★ 264↓ —
- cross-platform-reformatterOotto-AI/claude-content-skillsReshapes one Instagram reel into a TikTok and a YouTube Short — adjusting hook, length and captions per platform. Use when the user says "repost this to TikTok", "make this a Short", "cross-post this reel", "reformat for YouTube".OtherNo warnings★ 264↓ —
- qdrant-version-upgradeqdrant/skillsCovers upgrading Qdrant server and SDKs without interrupting availability or losing data integrity. Use when someone asks 'how do I upgrade Qdrant', 'can I jump from 1.15 to 1.18', 'rolling upgrade without downtime', 'do I upgrade the client or the server first', 'which SDK version matches my server', 'what should I check before upgrading', or 'something changed after we upgraded'.OtherNo warnings★ 262↓ —
- qdrant-scaling-qpsqdrant/skillsGuides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.OtherNo warnings★ 262↓ —
- qdrant-minimize-latencyqdrant/skillsGuides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.OtherNo warnings★ 262↓ —
- qdrant-hybrid-searchqdrant/skillsExplains hybrid search in Qdrant. Use when someone asks 'how do I setup hybrid search?', 'how to combine keyword and semantic search?', 'sparse plus dense vectors?', 'missing keyword matches', 'how to combine results from multiple searches?' and 'combining multiple representations'. Also use for how a hybrid query is scoped: 'how is IDF scoped?', 'can one tenant's data contaminate another tenant's scoring?'. Also 'BM25 on a text index or sparse vectors?'OtherNo warnings★ 262↓ —
- qdrant-scaling-query-volumeqdrant/skillsGuides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.OtherNo warnings★ 262↓ —
- qdrant-indexing-performance-optimizationqdrant/skillsDiagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing threshold questions arise.OtherNo warnings★ 262↓ —
- qdrant-hybrid-search-combiningqdrant/skillsFusing scores from multiple searches into a single ranked result (RRF, DBSF, custom fusion). Use when someone asks 'RRF or DBSF?', 'how to combine sparse and dense', 'how to combine scores from multiple searches?', 'custom fusion', 'fusion is not producing good results', 'how do I tune RRF', 'what k should I use', or 'how do I set fusion weights'OtherNo warnings★ 262↓ —
- qdrant-hybrid-search-prefetchesqdrant/skillsConstructing prefetch queries for hybrid retrieval, including BM25/dense and multi-field setups, and choosing a lexical retrieval method. Use when someone asks 'dense and sparse in one search?', 'how to combine multiple fields for retrieval?', 'payloads or sparse vectors for lexical?', 'BM25 on a full-text index or sparse vectors?', 'which sparse embedding model to use?', 'BM25 vs SPLADE?', or 'how to migrate BM25 sparse vectors to a text index?'OtherNo warnings★ 262↓ —
- qdrant-search-quality-diagnosisqdrant/skillsDiagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', 'should I fine-tune my embedding model', 'quality dropped after quantization', 'how to measure retrieval quality', 'build a golden set', 'ground truth dataset', 'how to score recall@k', or 'is my improvement real / statistically significant'. Also use when search quality degrades without obvious changes.OtherNo warnings★ 262↓ —
- qdrant-scalingqdrant/skillsGuides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput or QPS', 'CPU is pegged / can't keep up with the request rate', 'one query is slow / p99 or tail latency too high', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', 'need to add capacity', 'large limit / pagination / scroll is slow', or 'only recent data matters / expiring old vectors / retention window'.OtherNo warnings★ 262↓ —
- nested-paths-skillagent-ecosystem/skill-validatorA fixture with two intentionally nested asset bundles.OtherNo warnings★ 260↓ —
- warnings-only-skillagent-ecosystem/skill-validatorA skill that produces warnings but no errors.OtherNo warnings★ 260↓ —
- token-exclusion-skillagent-ecosystem/skill-validatorA fixture with generated and non-generated non-standard content.OtherNo warnings★ 260↓ —
- skill-betaagent-ecosystem/skill-validatorA minimal valid skill.OtherNo warnings★ 260↓ —
- onboard-pluginmicrosoft/GitHub-Copilot-for-AzureScaffold a new plugin and prepare it for distribution. WHEN: 'create a new plugin', 'scaffold a new plugin'OtherNo warnings★ 259↓ —
- markdown-token-optimizermicrosoft/GitHub-Copilot-for-AzureAnalyzes markdown files for token efficiency. TRIGGERS: optimize markdown, reduce tokens, token count, token bloat, too many tokens, make concise, shrink file, file too large, optimize for AI, token efficiency, verbose markdown, reduce file sizeOtherNo warnings★ 259↓ —
- entra-agent-idmicrosoft/GitHub-Copilot-for-AzureProvision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmi_path, OBO, cross-tenant) including the Microsoft Entra SDK for AgentID sidecar. USE FOR: Agent Identity Blueprint, BlueprintPrincipal, agent OAuth, fmi_path token exchange, agent OBO, Workload Identity Federation for agents, polyglot agent auth, Microsoft.Identity.Web.AgentIdentities. DO NOT USE FOR: standard Entra app registration (use entra-app-registration), Microsoft Foundry agent authoring (use microsoft-foundry).OtherNo warnings★ 259↓ —
- atutun-xhs-coveranbeime/skill阿囤囤风格小红书封面提示词生成。用于AI工具、效率方法、产品测评、教程部署、个人经验、播客推荐、职场认知类内容的爆款竖版封面设计。特点是真人出镜、超大柔和浅黄（#FDFFA7）/白色中文标题、粗黑描边、人物抠图描边、绿色勾选清单、emoji贴纸、箭头标注、高对比高密度构图。关键词：小红书封面、爆款封面、阿囤囤风格、AI教程封面、产品测评封面、封面提示词。OtherNo warnings★ 8.6K↓ —