{"query":"Ta","filters":{"category":null,"platform":null,"min_stars":0},"total":10,"skills":[{"rank":1,"match_score":197,"slug":"metabase-metabase","name":"Metabase","description":"The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:","tagline":"The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:","category":"data-analysis","tags":["data-analysis","analytics","bi","business-intelligence","businessintelligence","clojure","dashboard","data","data-visualization","database"],"author":{"name":"metabase","verified":true,"url":"https://github.com/metabase"},"stats":{"stars":47590,"forks":6521,"downloads":0,"rating":0,"review_count":0,"quality_score":75.94},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"48K","tone":"positive"},{"label":"Freshness","value":"5d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Unknown","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add metabase/metabase"},{"status":"pass","label":"Repository","detail":"https://github.com/metabase/metabase"},{"status":"warn","label":"License","detail":"Unknown"},{"status":"pass","label":"Maintenance","detail":"5d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"48K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":["License is unclear"]},"audit":{"audit_score":95,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["License is unclear"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Data analysis","role":"Primary pick","primary_fit":"Data analysis","best_for":["Data analysis workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Data analysis task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Clojure","Data Analysis","Claude Code"],"use_cases":[{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"install":"npx skills add metabase/metabase","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add metabase/metabase","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Metabase\" agent skill from https://github.com/metabase/metabase. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Metabase\" as a Claude Code skill from https://github.com/metabase/metabase. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Metabase\" from https://github.com/metabase/metabase into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/metabase/metabase","github_repo":"metabase/metabase","version":"1.0.0","license":"Unknown","updated_at":"2026-06-07T00:01:07.715838+00:00","canonical_key":"metabase/metabase","recommendation_reasons":["Strong GitHub adoption: 47,590 stars","Quality score 76/100","Install handoff is available","Repository freshness signal is available","Registry match score 197"],"urls":{"web":"https://www.openagentskill.com/skills/metabase-metabase","api":"https://www.openagentskill.com/api/agent/skills/metabase-metabase","install_api":"https://www.openagentskill.com/api/skills/metabase-metabase/install","audit":"https://www.openagentskill.com/skills/metabase-metabase/audit","repository":"https://github.com/metabase/metabase"}},{"rank":2,"match_score":196.8,"slug":"microsoft-data-science-for-beginners","name":"Data Science For Beginners","description":"10 Weeks, 20 Lessons, Data Science for All!","tagline":"10 Weeks, 20 Lessons, Data Science for All!","category":"data-analysis","tags":["data-analysis","analytics","data-science","data-visualization","microsoft-for-beginners","pandas","python","jupyter notebook","github"],"author":{"name":"microsoft","verified":true,"url":"https://github.com/microsoft"},"stats":{"stars":35549,"forks":7239,"downloads":0,"rating":0,"review_count":0,"quality_score":75.06},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"36K","tone":"positive"},{"label":"Freshness","value":"8d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add microsoft/Data-Science-For-Beginners"},{"status":"pass","label":"Repository","detail":"https://github.com/microsoft/Data-Science-For-Beginners"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"8d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"36K GitHub stars"},{"status":"warn","label":"Documentation","detail":"Summary is thin"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":["Documentation summary is thin"]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Data analysis","role":"Primary pick","primary_fit":"Data analysis","best_for":["Data analysis workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Data analysis task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Jupyter Notebook","Data Analysis","Claude Code"],"use_cases":[{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"install":"npx skills add microsoft/Data-Science-For-Beginners","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add microsoft/Data-Science-For-Beginners","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Data Science For Beginners\" agent skill from https://github.com/microsoft/Data-Science-For-Beginners. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 10 Weeks, 20 Lessons, Data Science for All!","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Data Science For Beginners\" as a Claude Code skill from https://github.com/microsoft/Data-Science-For-Beginners. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 10 Weeks, 20 Lessons, Data Science for All!","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Data Science For Beginners\" from https://github.com/microsoft/Data-Science-For-Beginners into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 10 Weeks, 20 Lessons, Data Science for All!","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/microsoft/Data-Science-For-Beginners","github_repo":"microsoft/Data-Science-For-Beginners","version":"1.0.0","license":"MIT","updated_at":"2026-06-07T00:01:07.906777+00:00","canonical_key":"microsoft/data-science-for-beginners","recommendation_reasons":["Strong GitHub adoption: 35,549 stars","Quality score 75/100","Install handoff is available","Repository freshness signal is available","Registry match score 197"],"urls":{"web":"https://www.openagentskill.com/skills/microsoft-data-science-for-beginners","api":"https://www.openagentskill.com/api/agent/skills/microsoft-data-science-for-beginners","install_api":"https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install","audit":"https://www.openagentskill.com/skills/microsoft-data-science-for-beginners/audit","repository":"https://github.com/microsoft/Data-Science-For-Beginners"}},{"rank":3,"match_score":196.4,"slug":"letta-ai-letta","name":"Letta","description":"Build stateful agents with long-term memory","tagline":"Build stateful agents with long-term memory","category":"memory","tags":["memory","stateful-agents","platform"],"author":{"name":"letta-ai","verified":true,"url":"https://github.com/letta-ai"},"stats":{"stars":23275,"forks":2480,"downloads":0,"rating":0,"review_count":0,"quality_score":74.07},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"23K","tone":"positive"},{"label":"Freshness","value":"28d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Unknown","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add letta-ai/letta"},{"status":"pass","label":"Repository","detail":"https://github.com/letta-ai/letta"},{"status":"warn","label":"License","detail":"Unknown"},{"status":"pass","label":"Maintenance","detail":"28d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"23K GitHub stars"},{"status":"warn","label":"Documentation","detail":"Summary is thin"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":["License is unclear","Documentation summary is thin"]},"audit":{"audit_score":94,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["License is unclear","Documentation summary is thin"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Browser automation","role":"Primary pick","primary_fit":"Browser automation","best_for":["Browser automation workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Browser automation task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Letta","Python","LLM","Claude Code"],"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"web-scraping","title":"Web scraping","url":"https://www.openagentskill.com/use-cases/web-scraping"}],"install":"npx skills add letta-ai/letta","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add letta-ai/letta","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Letta\" agent skill from https://github.com/letta-ai/letta. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build stateful agents with long-term memory","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Letta\" as a Claude Code skill from https://github.com/letta-ai/letta. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Build stateful agents with long-term memory","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Letta\" from https://github.com/letta-ai/letta into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Build stateful agents with long-term memory","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/letta-ai/letta","github_repo":"letta-ai/letta","version":"1.0.0","license":"Unknown","updated_at":"2026-06-12T03:03:20.560878+00:00","canonical_key":"letta-ai/letta","recommendation_reasons":["Strong GitHub adoption: 23,275 stars","Quality score 74/100","Install handoff is available","Repository freshness signal is available","Registry match score 196"],"urls":{"web":"https://www.openagentskill.com/skills/letta-ai-letta","api":"https://www.openagentskill.com/api/agent/skills/letta-ai-letta","install_api":"https://www.openagentskill.com/api/skills/letta-ai-letta/install","audit":"https://www.openagentskill.com/skills/letta-ai-letta/audit","repository":"https://github.com/letta-ai/letta"}},{"rank":4,"match_score":196.4,"slug":"opendataloader-project-opendataloader-pdf","name":"Opendataloader Pdf","description":"PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.","tagline":"PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.","category":"data","tags":["rag","retrieval","a11y","accessibility","ai","bounding-box","document-parsing","eaa","html","json"],"author":{"name":"opendataloader-project","verified":true,"url":"https://github.com/opendataloader-project"},"stats":{"stars":24423,"forks":2289,"downloads":0,"rating":0,"review_count":0,"quality_score":73.91},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"24K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add opendataloader-project/opendataloader-pdf"},{"status":"pass","label":"Repository","detail":"https://github.com/opendataloader-project/opendataloader-pdf"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"24K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for RAG and knowledge","role":"Primary pick","primary_fit":"RAG and knowledge","best_for":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one RAG and knowledge task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Java","RAG","Claude Code"],"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"install":"npx skills add opendataloader-project/opendataloader-pdf","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add opendataloader-project/opendataloader-pdf","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Opendataloader Pdf\" agent skill from https://github.com/opendataloader-project/opendataloader-pdf. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Opendataloader Pdf\" as a Claude Code skill from https://github.com/opendataloader-project/opendataloader-pdf. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Opendataloader Pdf\" from https://github.com/opendataloader-project/opendataloader-pdf into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/opendataloader-project/opendataloader-pdf","github_repo":"opendataloader-project/opendataloader-pdf","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-12T02:00:52.632443+00:00","canonical_key":"opendataloader-project/opendataloader-pdf","recommendation_reasons":["Strong GitHub adoption: 24,423 stars","Quality score 74/100","Install handoff is available","Repository freshness signal is available","Registry match score 196"],"urls":{"web":"https://www.openagentskill.com/skills/opendataloader-project-opendataloader-pdf","api":"https://www.openagentskill.com/api/agent/skills/opendataloader-project-opendataloader-pdf","install_api":"https://www.openagentskill.com/api/skills/opendataloader-project-opendataloader-pdf/install","audit":"https://www.openagentskill.com/skills/opendataloader-project-opendataloader-pdf/audit","repository":"https://github.com/opendataloader-project/opendataloader-pdf"}},{"rank":5,"match_score":196.4,"slug":"dataease-dataease","name":"Dataease","description":"🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.","tagline":"🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.","category":"data-analysis","tags":["data-analysis","analytics","apache-doris","business-intelligence","data-visualization","echarts","kettle","superset","tableau","java"],"author":{"name":"dataease","verified":true,"url":"https://github.com/dataease"},"stats":{"stars":24003,"forks":4132,"downloads":0,"rating":0,"review_count":0,"quality_score":73.86},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"24K","tone":"positive"},{"label":"Freshness","value":"6d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"GPL-3.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add dataease/dataease"},{"status":"pass","label":"Repository","detail":"https://github.com/dataease/dataease"},{"status":"pass","label":"License","detail":"GPL-3.0"},{"status":"pass","label":"Maintenance","detail":"6d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"24K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Data analysis","role":"Primary pick","primary_fit":"Data analysis","best_for":["Data analysis workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Data analysis task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Java","Data Analysis","Claude Code"],"use_cases":[{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"install":"npx skills add dataease/dataease","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add dataease/dataease","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Dataease\" agent skill from https://github.com/dataease/dataease. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Dataease\" as a Claude Code skill from https://github.com/dataease/dataease. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Dataease\" from https://github.com/dataease/dataease into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/dataease/dataease","github_repo":"dataease/dataease","version":"1.0.0","license":"GPL-3.0","updated_at":"2026-06-07T00:01:08.073996+00:00","canonical_key":"dataease/dataease","recommendation_reasons":["Strong GitHub adoption: 24,003 stars","Quality score 74/100","Install handoff is available","Repository freshness signal is available","Registry match score 196"],"urls":{"web":"https://www.openagentskill.com/skills/dataease-dataease","api":"https://www.openagentskill.com/api/agent/skills/dataease-dataease","install_api":"https://www.openagentskill.com/api/skills/dataease-dataease/install","audit":"https://www.openagentskill.com/skills/dataease-dataease/audit","repository":"https://github.com/dataease/dataease"}},{"rank":6,"match_score":195.5,"slug":"vxcontrol-pentagi","name":"Pentagi","description":"Fully autonomous AI Agents system capable of performing complex penetration testing tasks","tagline":"Fully autonomous AI Agents system capable of performing complex penetration testing tasks","category":"agent-frameworks","tags":["agents","ai-agents","ai-security-tool","anthropic","autonomous-agents","golang","gpt","graphql","multi-agent-system","offensive-security"],"author":{"name":"vxcontrol","verified":true,"url":"https://github.com/vxcontrol"},"stats":{"stars":17664,"forks":2414,"downloads":0,"rating":0,"review_count":0,"quality_score":72.93},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"18K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add vxcontrol/pentagi"},{"status":"pass","label":"Repository","detail":"https://github.com/vxcontrol/pentagi"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"18K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Coding agents","role":"Primary pick","primary_fit":"Coding agents","best_for":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Coding agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Go","AI Agents","Claude Code","OpenAI Agents"],"use_cases":[{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"install":"npx skills add vxcontrol/pentagi","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add vxcontrol/pentagi","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Pentagi\" agent skill from https://github.com/vxcontrol/pentagi. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Fully autonomous AI Agents system capable of performing complex penetration testing tasks","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Pentagi\" as a Claude Code skill from https://github.com/vxcontrol/pentagi. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Fully autonomous AI Agents system capable of performing complex penetration testing tasks","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Pentagi\" from https://github.com/vxcontrol/pentagi into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Fully autonomous AI Agents system capable of performing complex penetration testing tasks","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/vxcontrol/pentagi","github_repo":"vxcontrol/pentagi","version":"1.0.0","license":"MIT","updated_at":"2026-06-12T03:03:46.928553+00:00","canonical_key":"vxcontrol/pentagi","recommendation_reasons":["Strong GitHub adoption: 17,664 stars","Quality score 73/100","Install handoff is available","Repository freshness signal is available","Registry match score 196"],"urls":{"web":"https://www.openagentskill.com/skills/vxcontrol-pentagi","api":"https://www.openagentskill.com/api/agent/skills/vxcontrol-pentagi","install_api":"https://www.openagentskill.com/api/skills/vxcontrol-pentagi/install","audit":"https://www.openagentskill.com/skills/vxcontrol-pentagi/audit","repository":"https://github.com/vxcontrol/pentagi"}},{"rank":7,"match_score":194.8,"slug":"phpstan-phpstan","name":"Phpstan","description":"PHP Static Analysis Tool - discover bugs in your code without running it!","tagline":"PHP Static Analysis Tool - discover bugs in your code without running it!","category":"development","tags":["static-analysis","code-quality","php","php7","phpstan","static-analyzer","static-code-analysis","testing","github"],"author":{"name":"phpstan","verified":true,"url":"https://github.com/phpstan"},"stats":{"stars":13985,"forks":949,"downloads":0,"rating":0,"review_count":0,"quality_score":72.22},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"14K","tone":"positive"},{"label":"Freshness","value":"5d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add phpstan/phpstan"},{"status":"pass","label":"Repository","detail":"https://github.com/phpstan/phpstan"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"5d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"14K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Coding agents","role":"Primary pick","primary_fit":"Coding agents","best_for":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Coding agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["PHP","Static Analysis","Claude Code"],"use_cases":[{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"install":"npx skills add phpstan/phpstan","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add phpstan/phpstan","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Phpstan\" agent skill from https://github.com/phpstan/phpstan. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: PHP Static Analysis Tool - discover bugs in your code without running it!","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Phpstan\" as a Claude Code skill from https://github.com/phpstan/phpstan. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: PHP Static Analysis Tool - discover bugs in your code without running it!","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Phpstan\" from https://github.com/phpstan/phpstan into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: PHP Static Analysis Tool - discover bugs in your code without running it!","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/phpstan/phpstan","github_repo":"phpstan/phpstan","version":"1.0.0","license":"MIT","updated_at":"2026-06-06T18:01:10.006829+00:00","canonical_key":"phpstan/phpstan","recommendation_reasons":["Strong GitHub adoption: 13,985 stars","Quality score 72/100","Install handoff is available","Repository freshness signal is available","Registry match score 195"],"urls":{"web":"https://www.openagentskill.com/skills/phpstan-phpstan","api":"https://www.openagentskill.com/api/agent/skills/phpstan-phpstan","install_api":"https://www.openagentskill.com/api/skills/phpstan-phpstan/install","audit":"https://www.openagentskill.com/skills/phpstan-phpstan/audit","repository":"https://github.com/phpstan/phpstan"}},{"rank":8,"match_score":194.2,"slug":"statsmodels-statsmodels","name":"Statsmodels","description":"Statsmodels: statistical modeling and econometrics in Python","tagline":"Statsmodels: statistical modeling and econometrics in Python","category":"data-analysis","tags":["data-analysis","analytics","count-model","data-science","econometrics","forecasting","generalized-linear-models","hypothesis-testing","prediction","python"],"author":{"name":"statsmodels","verified":true,"url":"https://github.com/statsmodels"},"stats":{"stars":11456,"forks":3357,"downloads":0,"rating":0,"review_count":0,"quality_score":71.61},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"11K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"BSD-3-Clause","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add statsmodels/statsmodels"},{"status":"pass","label":"Repository","detail":"https://github.com/statsmodels/statsmodels"},{"status":"pass","label":"License","detail":"BSD-3-Clause"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"11K GitHub stars"},{"status":"warn","label":"Documentation","detail":"Summary is thin"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":["Documentation summary is thin"]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Data analysis","role":"Primary pick","primary_fit":"Data analysis","best_for":["Data analysis workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Data analysis task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Python","Data Analysis","Claude Code"],"use_cases":[{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"install":"npx skills add statsmodels/statsmodels","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add statsmodels/statsmodels","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Statsmodels\" agent skill from https://github.com/statsmodels/statsmodels. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Statsmodels: statistical modeling and econometrics in Python","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Statsmodels\" as a Claude Code skill from https://github.com/statsmodels/statsmodels. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Statsmodels: statistical modeling and econometrics in Python","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Statsmodels\" from https://github.com/statsmodels/statsmodels into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Statsmodels: statistical modeling and econometrics in Python","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/statsmodels/statsmodels","github_repo":"statsmodels/statsmodels","version":"1.0.0","license":"BSD-3-Clause","updated_at":"2026-06-12T03:02:06.32098+00:00","canonical_key":"statsmodels/statsmodels","recommendation_reasons":["Strong GitHub adoption: 11,456 stars","Quality score 72/100","Install handoff is available","Repository freshness signal is available","Registry match score 194"],"urls":{"web":"https://www.openagentskill.com/skills/statsmodels-statsmodels","api":"https://www.openagentskill.com/api/agent/skills/statsmodels-statsmodels","install_api":"https://www.openagentskill.com/api/skills/statsmodels-statsmodels/install","audit":"https://www.openagentskill.com/skills/statsmodels-statsmodels/audit","repository":"https://github.com/statsmodels/statsmodels"}},{"rank":9,"match_score":194.1,"slug":"kareadita-kavita","name":"Kavita","description":"Kavita is a fast, feature rich, cross platform reading server. Built with the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.","tagline":"Kavita is a fast, feature rich, cross platform reading server. Built with the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.","category":"document-processing","tags":["pdf","documents","extraction","annotations","cbz","comicinfo","comics","comics-reader","cross-platform","csharp"],"author":{"name":"Kareadita","verified":true,"url":"https://github.com/Kareadita"},"stats":{"stars":10893,"forks":607,"downloads":0,"rating":0,"review_count":0,"quality_score":71.46},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"11K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"GPL-3.0","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add Kareadita/Kavita"},{"status":"pass","label":"Repository","detail":"https://github.com/Kareadita/Kavita"},{"status":"pass","label":"License","detail":"GPL-3.0"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"11K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Document processing","role":"Primary pick","primary_fit":"Document processing","best_for":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["C#","PDF","Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"install":"npx skills add Kareadita/Kavita","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add Kareadita/Kavita","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Kavita\" agent skill from https://github.com/Kareadita/Kavita. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Kavita is a fast, feature rich, cross platform reading server. Built with the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Kavita\" as a Claude Code skill from https://github.com/Kareadita/Kavita. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Kavita is a fast, feature rich, cross platform reading server. Built with the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Kavita\" from https://github.com/Kareadita/Kavita into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Kavita is a fast, feature rich, cross platform reading server. Built with the goal of being a full solution for all your reading needs. Setup your own server and share your reading collection with your friends and family.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/Kareadita/Kavita","github_repo":"Kareadita/Kavita","version":"1.0.0","license":"GPL-3.0","updated_at":"2026-06-12T02:01:06.792865+00:00","canonical_key":"kareadita/kavita","recommendation_reasons":["Strong GitHub adoption: 10,893 stars","Quality score 71/100","Install handoff is available","Repository freshness signal is available","Registry match score 194"],"urls":{"web":"https://www.openagentskill.com/skills/kareadita-kavita","api":"https://www.openagentskill.com/api/agent/skills/kareadita-kavita","install_api":"https://www.openagentskill.com/api/skills/kareadita-kavita/install","audit":"https://www.openagentskill.com/skills/kareadita-kavita/audit","repository":"https://github.com/Kareadita/Kavita"}},{"rank":10,"match_score":194.1,"slug":"conardli-easy-dataset","name":"Easy Dataset","description":"A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval","tagline":"A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval","category":"data","tags":["rag","retrieval","dataset","fine-tuning","javascript","llm","github"],"author":{"name":"ConardLi","verified":true,"url":"https://github.com/ConardLi"},"stats":{"stars":14440,"forks":1471,"downloads":0,"rating":0,"review_count":0,"quality_score":69.32},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"14K","tone":"positive"},{"label":"Freshness","value":"1mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Unknown","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add ConardLi/easy-dataset"},{"status":"pass","label":"Repository","detail":"https://github.com/ConardLi/easy-dataset"},{"status":"warn","label":"License","detail":"Unknown"},{"status":"pass","label":"Maintenance","detail":"1mo since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"14K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":["License is unclear"]},"audit":{"audit_score":93,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["License is unclear"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Coding agents","role":"Primary pick","primary_fit":"Coding agents","best_for":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Coding agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["JavaScript","RAG","Claude Code"],"use_cases":[{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"install":"npx skills add ConardLi/easy-dataset","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add ConardLi/easy-dataset","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Easy Dataset\" agent skill from https://github.com/ConardLi/easy-dataset. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Easy Dataset\" as a Claude Code skill from https://github.com/ConardLi/easy-dataset. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Easy Dataset\" from https://github.com/ConardLi/easy-dataset into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/ConardLi/easy-dataset","github_repo":"ConardLi/easy-dataset","version":"1.0.0","license":"Unknown","updated_at":"2026-06-12T02:00:52.892038+00:00","canonical_key":"conardli/easy-dataset","recommendation_reasons":["Strong GitHub adoption: 14,440 stars","Install handoff is available","Repository freshness signal is available","Registry match score 194"],"urls":{"web":"https://www.openagentskill.com/skills/conardli-easy-dataset","api":"https://www.openagentskill.com/api/agent/skills/conardli-easy-dataset","install_api":"https://www.openagentskill.com/api/skills/conardli-easy-dataset/install","audit":"https://www.openagentskill.com/skills/conardli-easy-dataset/audit","repository":"https://github.com/ConardLi/easy-dataset"}}],"meta":{"endpoint":"/api/skills/search","canonical_agent_endpoint":"/api/agent/recommend","agent_friendly":true,"api_version":"1.0","generated_at":"2026-06-12T06:53:02.253Z"}}