{"query":"Data Science Interviews","filters":{"category":null,"platform":null,"min_stars":0},"total":10,"skills":[{"rank":1,"match_score":421.8,"slug":"alexeygrigorev-data-science-interviews","name":"Data Science Interviews","description":"Data science interview questions and answers","tagline":"Data science interview questions and answers","category":"ml-automation","tags":["machine-learning","automation","ml-media","data-science","data-science-interviews","interview-questions","html","github"],"author":{"name":"alexeygrigorev","verified":true,"url":"https://github.com/alexeygrigorev"},"stats":{"stars":10037,"forks":2146,"downloads":0,"rating":0,"review_count":0,"quality_score":71.21},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"10K","tone":"positive"},{"label":"Freshness","value":"12d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"CC-BY-4.0","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 alexeygrigorev/data-science-interviews"},{"status":"pass","label":"Repository","detail":"https://github.com/alexeygrigorev/data-science-interviews"},{"status":"pass","label":"License","detail":"CC-BY-4.0"},{"status":"pass","label":"Maintenance","detail":"12d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"10K 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 GitHub automation","role":"Primary pick","primary_fit":"GitHub automation","best_for":["GitHub 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 GitHub 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":["HTML","Machine Learning","Claude Code"],"use_cases":[{"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":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"}],"install":"npx skills add alexeygrigorev/data-science-interviews","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add alexeygrigorev/data-science-interviews","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 Interviews\" agent skill from https://github.com/alexeygrigorev/data-science-interviews. 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: Data science interview questions and answers","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 Interviews\" as a Claude Code skill from https://github.com/alexeygrigorev/data-science-interviews. 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: Data science interview questions and answers","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 Interviews\" from https://github.com/alexeygrigorev/data-science-interviews 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: Data science interview questions and answers","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/alexeygrigorev/data-science-interviews","github_repo":"alexeygrigorev/data-science-interviews","version":"1.0.0","license":"CC-BY-4.0","updated_at":"2026-06-13T00:01:28.870985+00:00","canonical_key":"alexeygrigorev/data-science-interviews","recommendation_reasons":["Matches task terms: data, science, interviews","Strong GitHub adoption: 10,037 stars","Quality score 71/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/alexeygrigorev-data-science-interviews","api":"https://www.openagentskill.com/api/agent/skills/alexeygrigorev-data-science-interviews","install_api":"https://www.openagentskill.com/api/skills/alexeygrigorev-data-science-interviews/install","audit":"https://www.openagentskill.com/skills/alexeygrigorev-data-science-interviews/audit","repository":"https://github.com/alexeygrigorev/data-science-interviews"}},{"rank":2,"match_score":292.8,"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":35611,"forks":7254,"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":"2d 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":"2d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"36K 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":["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":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"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":"2026-06-13T03:03:55.850281+00:00","canonical_key":"microsoft/data-science-for-beginners","recommendation_reasons":["Matches task terms: data, science","Strong GitHub adoption: 35,611 stars","Quality score 75/100","Install handoff is available","Repository freshness signal is available"],"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":287.2,"slug":"r0f1-datascience","name":"Datascience","description":"Curated list of Python resources for data science.","tagline":"Curated list of Python resources for data science.","category":"data-analysis","tags":["data-analysis","analytics","artificial-intelligence","awesome","awesome-list","bayes","data-mining","data-science","data-visualization","datascience"],"author":{"name":"r0f1","verified":true,"url":"https://github.com/r0f1"},"stats":{"stars":4632,"forks":711,"downloads":0,"rating":0,"review_count":0,"quality_score":67.36},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"4.6K","tone":"positive"},{"label":"Freshness","value":"8d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"CC0-1.0","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 r0f1/datascience"},{"status":"pass","label":"Repository","detail":"https://github.com/r0f1/datascience"},{"status":"pass","label":"License","detail":"CC0-1.0"},{"status":"pass","label":"Maintenance","detail":"8d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"4.6K 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","Meaningful 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":["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":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add r0f1/datascience","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add r0f1/datascience","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 \"Datascience\" agent skill from https://github.com/r0f1/datascience. 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: Curated list of Python resources for data science.","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 \"Datascience\" as a Claude Code skill from https://github.com/r0f1/datascience. 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: Curated list of Python resources for data science.","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 \"Datascience\" from https://github.com/r0f1/datascience 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: Curated list of Python resources for data science.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/r0f1/datascience","github_repo":"r0f1/datascience","version":"1.0.0","license":"CC0-1.0","updated_at":"2026-06-13T03:04:03.411448+00:00","canonical_key":"r0f1/datascience","recommendation_reasons":["Matches task terms: data, science","Useful GitHub adoption: 4,632 stars","Install handoff is available","Repository freshness signal is available","Registry match score 287"],"urls":{"web":"https://www.openagentskill.com/skills/r0f1-datascience","api":"https://www.openagentskill.com/api/agent/skills/r0f1-datascience","install_api":"https://www.openagentskill.com/api/skills/r0f1-datascience/install","audit":"https://www.openagentskill.com/skills/r0f1-datascience/audit","repository":"https://github.com/r0f1/datascience"}},{"rank":4,"match_score":262,"slug":"data-centric-ai-community-fg-data-profiling","name":"Fg Data Profiling","description":"1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. ","tagline":"1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. ","category":"data-analysis","tags":["data-analysis","analytics","big-data-analytics","data-exploration","data-profiling","data-quality","data-science","deep-learning","eda","exploration"],"author":{"name":"Data-Centric-AI-Community","verified":true,"url":"https://github.com/Data-Centric-AI-Community"},"stats":{"stars":13598,"forks":1791,"downloads":0,"rating":0,"review_count":0,"quality_score":69.13},"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":"2mo 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 Data-Centric-AI-Community/fg-data-profiling"},{"status":"pass","label":"Repository","detail":"https://github.com/Data-Centric-AI-Community/fg-data-profiling"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"2mo 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":95,"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":["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":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"install":"npx skills add Data-Centric-AI-Community/fg-data-profiling","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add Data-Centric-AI-Community/fg-data-profiling","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 \"Fg Data Profiling\" agent skill from https://github.com/Data-Centric-AI-Community/fg-data-profiling. 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: 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.","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 \"Fg Data Profiling\" as a Claude Code skill from https://github.com/Data-Centric-AI-Community/fg-data-profiling. 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: 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.","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 \"Fg Data Profiling\" from https://github.com/Data-Centric-AI-Community/fg-data-profiling 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: 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/Data-Centric-AI-Community/fg-data-profiling","github_repo":"Data-Centric-AI-Community/fg-data-profiling","version":"1.0.0","license":"MIT","updated_at":"2026-06-13T03:02:42.000905+00:00","canonical_key":"data-centric-ai-community/fg-data-profiling","recommendation_reasons":["Matches task terms: data, science","Strong GitHub adoption: 13,598 stars","Install handoff is available","Repository freshness signal is available","Registry match score 262"],"urls":{"web":"https://www.openagentskill.com/skills/data-centric-ai-community-fg-data-profiling","api":"https://www.openagentskill.com/api/agent/skills/data-centric-ai-community-fg-data-profiling","install_api":"https://www.openagentskill.com/api/skills/data-centric-ai-community-fg-data-profiling/install","audit":"https://www.openagentskill.com/skills/data-centric-ai-community-fg-data-profiling/audit","repository":"https://github.com/Data-Centric-AI-Community/fg-data-profiling"}},{"rank":5,"match_score":260.2,"slug":"datajuicer-data-juicer","name":"Data Juicer","description":"Data processing for and with foundation models!  🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷","tagline":"Data processing for and with foundation models!  🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷","category":"data-analysis","tags":["data-analysis","analytics","data","data-pipeline","data-processing","data-science","data-visualization","foundation-models","instruction-tuning","large-language-models"],"author":{"name":"datajuicer","verified":true,"url":"https://github.com/datajuicer"},"stats":{"stars":6535,"forks":377,"downloads":0,"rating":0,"review_count":0,"quality_score":68.41},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"6.5K","tone":"positive"},{"label":"Freshness","value":"1d ago","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 datajuicer/data-juicer"},{"status":"pass","label":"Repository","detail":"https://github.com/datajuicer/data-juicer"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"1d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"6.5K 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":["Python","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":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add datajuicer/data-juicer","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add datajuicer/data-juicer","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 Juicer\" agent skill from https://github.com/datajuicer/data-juicer. 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: Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷","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 Juicer\" as a Claude Code skill from https://github.com/datajuicer/data-juicer. 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: Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷","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 Juicer\" from https://github.com/datajuicer/data-juicer 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: Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/datajuicer/data-juicer","github_repo":"datajuicer/data-juicer","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T03:04:00.868678+00:00","canonical_key":"datajuicer/data-juicer","recommendation_reasons":["Matches task terms: data, science","Useful GitHub adoption: 6,535 stars","Install handoff is available","Repository freshness signal is available","Registry match score 260"],"urls":{"web":"https://www.openagentskill.com/skills/datajuicer-data-juicer","api":"https://www.openagentskill.com/api/agent/skills/datajuicer-data-juicer","install_api":"https://www.openagentskill.com/api/skills/datajuicer-data-juicer/install","audit":"https://www.openagentskill.com/skills/datajuicer-data-juicer/audit","repository":"https://github.com/datajuicer/data-juicer"}},{"rank":6,"match_score":257.9,"slug":"hosseinmoein-dataframe","name":"DataFrame","description":"C++ DataFrame for statistical, financial, and ML analysis in modern C++","tagline":"C++ DataFrame for statistical, financial, and ML analysis in modern C++","category":"data-analysis","tags":["data-analysis","analytics","ai","cpp","data-science","dataframe","financial-data-analysis","financial-engineering","large-data","machine-learning"],"author":{"name":"hosseinmoein","verified":true,"url":"https://github.com/hosseinmoein"},"stats":{"stars":2958,"forks":356,"downloads":0,"rating":0,"review_count":0,"quality_score":66},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"3.0K","tone":"positive"},{"label":"Freshness","value":"6d ago","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 hosseinmoein/DataFrame"},{"status":"pass","label":"Repository","detail":"https://github.com/hosseinmoein/DataFrame"},{"status":"pass","label":"License","detail":"BSD-3-Clause"},{"status":"pass","label":"Maintenance","detail":"6d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"3.0K 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","Meaningful 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 GitHub automation","role":"Primary pick","primary_fit":"GitHub automation","best_for":["GitHub 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 GitHub 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":["C++","Data Analysis","Claude Code"],"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"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"}],"install":"npx skills add hosseinmoein/DataFrame","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add hosseinmoein/DataFrame","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 \"DataFrame\" agent skill from https://github.com/hosseinmoein/DataFrame. 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: C++ DataFrame for statistical, financial, and ML analysis in modern C++","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 \"DataFrame\" as a Claude Code skill from https://github.com/hosseinmoein/DataFrame. 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: C++ DataFrame for statistical, financial, and ML analysis in modern C++","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 \"DataFrame\" from https://github.com/hosseinmoein/DataFrame 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: C++ DataFrame for statistical, financial, and ML analysis in modern C++","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/hosseinmoein/DataFrame","github_repo":"hosseinmoein/DataFrame","version":"1.0.0","license":"BSD-3-Clause","updated_at":"2026-06-07T00:01:08.932471+00:00","canonical_key":"hosseinmoein/dataframe","recommendation_reasons":["Matches task terms: data, science","Useful GitHub adoption: 2,958 stars","Install handoff is available","Repository freshness signal is available","Registry match score 258"],"urls":{"web":"https://www.openagentskill.com/skills/hosseinmoein-dataframe","api":"https://www.openagentskill.com/api/agent/skills/hosseinmoein-dataframe","install_api":"https://www.openagentskill.com/api/skills/hosseinmoein-dataframe/install","audit":"https://www.openagentskill.com/skills/hosseinmoein-dataframe/audit","repository":"https://github.com/hosseinmoein/DataFrame"}},{"rank":7,"match_score":252.6,"slug":"drivendataorg-cookiecutter-data-science","name":"Cookiecutter Data Science","description":"A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.","tagline":"A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.","category":"ml-automation","tags":["machine-learning","automation","ml-media","ai","cookiecutter","cookiecutter-data-science","cookiecutter-template","data-science","python","github"],"author":{"name":"drivendataorg","verified":true,"url":"https://github.com/drivendataorg"},"stats":{"stars":9901,"forks":2639,"downloads":0,"rating":0,"review_count":0,"quality_score":66.67},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.9K","tone":"positive"},{"label":"Freshness","value":"2mo 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 drivendataorg/cookiecutter-data-science"},{"status":"pass","label":"Repository","detail":"https://github.com/drivendataorg/cookiecutter-data-science"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"2mo since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"9.9K 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":95,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for GitHub automation","role":"Primary pick","primary_fit":"GitHub automation","best_for":["GitHub 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 GitHub 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":["Python","Machine Learning","Claude Code"],"use_cases":[{"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":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"}],"install":"npx skills add drivendataorg/cookiecutter-data-science","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add drivendataorg/cookiecutter-data-science","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 \"Cookiecutter Data Science\" agent skill from https://github.com/drivendataorg/cookiecutter-data-science. 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 logical, reasonably standardized, but flexible project structure for doing and sharing data science work.","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 \"Cookiecutter Data Science\" as a Claude Code skill from https://github.com/drivendataorg/cookiecutter-data-science. 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 logical, reasonably standardized, but flexible project structure for doing and sharing data science work.","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 \"Cookiecutter Data Science\" from https://github.com/drivendataorg/cookiecutter-data-science 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 logical, reasonably standardized, but flexible project structure for doing and sharing data science work.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/drivendataorg/cookiecutter-data-science","github_repo":"drivendataorg/cookiecutter-data-science","version":"1.0.0","license":"MIT","updated_at":"2026-06-13T00:01:29.060774+00:00","canonical_key":"drivendataorg/cookiecutter-data-science","recommendation_reasons":["Matches task terms: data, science","Useful GitHub adoption: 9,901 stars","Install handoff is available","Repository freshness signal is available","Registry match score 253"],"urls":{"web":"https://www.openagentskill.com/skills/drivendataorg-cookiecutter-data-science","api":"https://www.openagentskill.com/api/agent/skills/drivendataorg-cookiecutter-data-science","install_api":"https://www.openagentskill.com/api/skills/drivendataorg-cookiecutter-data-science/install","audit":"https://www.openagentskill.com/skills/drivendataorg-cookiecutter-data-science/audit","repository":"https://github.com/drivendataorg/cookiecutter-data-science"}},{"rank":8,"match_score":237.2,"slug":"scikit-learn-scikit-learn","name":"Scikit Learn","description":"scikit-learn: machine learning in Python","tagline":"scikit-learn: machine learning in Python","category":"data-analysis","tags":["data-analysis","analytics","data-science","machine-learning","python","statistics","github"],"author":{"name":"scikit-learn","verified":true,"url":"https://github.com/scikit-learn"},"stats":{"stars":66296,"forks":27058,"downloads":0,"rating":0,"review_count":0,"quality_score":76.95},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"66K","tone":"positive"},{"label":"Freshness","value":"1d ago","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 scikit-learn/scikit-learn"},{"status":"pass","label":"Repository","detail":"https://github.com/scikit-learn/scikit-learn"},{"status":"pass","label":"License","detail":"BSD-3-Clause"},{"status":"pass","label":"Maintenance","detail":"1d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"66K 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 GitHub automation","role":"Primary pick","primary_fit":"GitHub automation","best_for":["GitHub 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 GitHub 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":["Python","Data Analysis","Claude Code"],"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"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"}],"install":"npx skills add scikit-learn/scikit-learn","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add scikit-learn/scikit-learn","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 \"Scikit Learn\" agent skill from https://github.com/scikit-learn/scikit-learn. 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: scikit-learn: machine learning 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 \"Scikit Learn\" as a Claude Code skill from https://github.com/scikit-learn/scikit-learn. 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: scikit-learn: machine learning 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 \"Scikit Learn\" from https://github.com/scikit-learn/scikit-learn 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: scikit-learn: machine learning in Python","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/scikit-learn/scikit-learn","github_repo":"scikit-learn/scikit-learn","version":"1.0.0","license":"BSD-3-Clause","updated_at":"2026-06-12T03:03:30.531816+00:00","canonical_key":"scikit-learn/scikit-learn","recommendation_reasons":["Matches task terms: data, science","Strong GitHub adoption: 66,296 stars","Quality score 77/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/scikit-learn-scikit-learn","api":"https://www.openagentskill.com/api/agent/skills/scikit-learn-scikit-learn","install_api":"https://www.openagentskill.com/api/skills/scikit-learn-scikit-learn/install","audit":"https://www.openagentskill.com/skills/scikit-learn-scikit-learn/audit","repository":"https://github.com/scikit-learn/scikit-learn"}},{"rank":9,"match_score":237,"slug":"pandas-dev-pandas","name":"Pandas","description":"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","tagline":"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","category":"data-analysis","tags":["data-analysis","analytics","alignment","data-science","flexible","pandas","python","github"],"author":{"name":"pandas-dev","verified":true,"url":"https://github.com/pandas-dev"},"stats":{"stars":48967,"forks":20011,"downloads":0,"rating":0,"review_count":0,"quality_score":76.03},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"49K","tone":"positive"},{"label":"Freshness","value":"1d ago","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 pandas-dev/pandas"},{"status":"pass","label":"Repository","detail":"https://github.com/pandas-dev/pandas"},{"status":"pass","label":"License","detail":"BSD-3-Clause"},{"status":"pass","label":"Maintenance","detail":"1d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"49K 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":["Python","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":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add pandas-dev/pandas","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add pandas-dev/pandas","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 \"Pandas\" agent skill from https://github.com/pandas-dev/pandas. 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: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","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 \"Pandas\" as a Claude Code skill from https://github.com/pandas-dev/pandas. 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: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","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 \"Pandas\" from https://github.com/pandas-dev/pandas 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: Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/pandas-dev/pandas","github_repo":"pandas-dev/pandas","version":"1.0.0","license":"BSD-3-Clause","updated_at":"2026-06-13T03:03:47.254101+00:00","canonical_key":"pandas-dev/pandas","recommendation_reasons":["Matches task terms: data, science","Strong GitHub adoption: 48,967 stars","Quality score 76/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/pandas-dev-pandas","api":"https://www.openagentskill.com/api/agent/skills/pandas-dev-pandas","install_api":"https://www.openagentskill.com/api/skills/pandas-dev-pandas/install","audit":"https://www.openagentskill.com/skills/pandas-dev-pandas/audit","repository":"https://github.com/pandas-dev/pandas"}},{"rank":10,"match_score":236.9,"slug":"streamlit-streamlit","name":"Streamlit","description":"Streamlit — A faster way to build and share data apps.","tagline":"Streamlit — A faster way to build and share data apps.","category":"data-analysis","tags":["data-analysis","analytics","data-science","data-visualization","deep-learning","developer-tools","machine-learning","python","streamlit","github"],"author":{"name":"streamlit","verified":true,"url":"https://github.com/streamlit"},"stats":{"stars":44944,"forks":4275,"downloads":0,"rating":0,"review_count":0,"quality_score":75.77},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"45K","tone":"positive"},{"label":"Freshness","value":"1d ago","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 streamlit/streamlit"},{"status":"pass","label":"Repository","detail":"https://github.com/streamlit/streamlit"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"1d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"45K 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":["Python","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":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add streamlit/streamlit","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add streamlit/streamlit","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 \"Streamlit\" agent skill from https://github.com/streamlit/streamlit. 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: Streamlit — A faster way to build and share data apps.","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 \"Streamlit\" as a Claude Code skill from https://github.com/streamlit/streamlit. 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: Streamlit — A faster way to build and share data apps.","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 \"Streamlit\" from https://github.com/streamlit/streamlit 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: Streamlit — A faster way to build and share data apps.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/streamlit/streamlit","github_repo":"streamlit/streamlit","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-12T10:02:10.517998+00:00","canonical_key":"streamlit/streamlit","recommendation_reasons":["Matches task terms: data, science","Strong GitHub adoption: 44,944 stars","Quality score 76/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/streamlit-streamlit","api":"https://www.openagentskill.com/api/agent/skills/streamlit-streamlit","install_api":"https://www.openagentskill.com/api/skills/streamlit-streamlit/install","audit":"https://www.openagentskill.com/skills/streamlit-streamlit/audit","repository":"https://github.com/streamlit/streamlit"}}],"meta":{"endpoint":"/api/skills/search","canonical_agent_endpoint":"/api/agent/recommend","agent_friendly":true,"api_version":"1.0","generated_at":"2026-06-13T10:16:25.518Z"}}