{"query":"Pipeline","filters":{"category":null,"platform":null,"min_stars":0},"total":10,"skills":[{"rank":1,"match_score":298.1,"slug":"tektoncd-pipeline","name":"Pipeline","description":"A cloud-native Pipeline resource.","tagline":"A cloud-native Pipeline resource.","category":"devops","tags":["kubernetes","devops","cdf","hacktoberfest","pipeline","tekton","go","github"],"author":{"name":"tektoncd","verified":true,"url":"https://github.com/tektoncd"},"stats":{"stars":8986,"forks":1927,"downloads":0,"rating":0,"review_count":0,"quality_score":69.38},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.0K","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 tektoncd/pipeline"},{"status":"pass","label":"Repository","detail":"https://github.com/tektoncd/pipeline"},{"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":"9.0K 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","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","Kubernetes","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":"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 tektoncd/pipeline","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add tektoncd/pipeline","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 \"Pipeline\" agent skill from https://github.com/tektoncd/pipeline. 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 cloud-native Pipeline resource.","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 \"Pipeline\" as a Claude Code skill from https://github.com/tektoncd/pipeline. 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 cloud-native Pipeline resource.","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 \"Pipeline\" from https://github.com/tektoncd/pipeline 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 cloud-native Pipeline resource.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/tektoncd/pipeline","github_repo":"tektoncd/pipeline","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-12T19:00:36.456074+00:00","canonical_key":"tektoncd/pipeline","recommendation_reasons":["Matches task terms: pipeline","Useful GitHub adoption: 8,986 stars","Install handoff is available","Repository freshness signal is available","Registry match score 298"],"urls":{"web":"https://www.openagentskill.com/skills/tektoncd-pipeline","api":"https://www.openagentskill.com/api/agent/skills/tektoncd-pipeline","install_api":"https://www.openagentskill.com/api/skills/tektoncd-pipeline/install","audit":"https://www.openagentskill.com/skills/tektoncd-pipeline/audit","repository":"https://github.com/tektoncd/pipeline"}},{"rank":2,"match_score":193,"slug":"airbytehq-airbyte","name":"Airbyte","description":"Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.","tagline":"Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.","category":"data-analysis","tags":["data-analysis","analytics","bigquery","change-data-capture","data","data-collection","data-engineering","data-integration","data-pipeline","elt"],"author":{"name":"airbytehq","verified":true,"url":"https://github.com/airbytehq"},"stats":{"stars":21446,"forks":5218,"downloads":0,"rating":0,"review_count":0,"quality_score":73.52},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"21K","tone":"positive"},{"label":"Freshness","value":"Today","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 airbytehq/airbyte"},{"status":"pass","label":"Repository","detail":"https://github.com/airbytehq/airbyte"},{"status":"warn","label":"License","detail":"Unknown"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"21K 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 Workflow automation","role":"Primary pick","primary_fit":"Workflow automation","best_for":["Workflow 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 Workflow 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":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"database-sql","title":"Database and SQL","url":"https://www.openagentskill.com/use-cases/database-sql"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"}],"install":"npx skills add airbytehq/airbyte","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add airbytehq/airbyte","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 \"Airbyte\" agent skill from https://github.com/airbytehq/airbyte. 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: Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.","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 \"Airbyte\" as a Claude Code skill from https://github.com/airbytehq/airbyte. 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: Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.","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 \"Airbyte\" from https://github.com/airbytehq/airbyte 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: Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/airbytehq/airbyte","github_repo":"airbytehq/airbyte","version":"1.0.0","license":"Unknown","updated_at":"2026-06-13T03:04:02.179017+00:00","canonical_key":"airbytehq/airbyte","recommendation_reasons":["Matches task terms: pipeline","Strong GitHub adoption: 21,446 stars","Quality score 74/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/airbytehq-airbyte","api":"https://www.openagentskill.com/api/agent/skills/airbytehq-airbyte","install_api":"https://www.openagentskill.com/api/skills/airbytehq-airbyte/install","audit":"https://www.openagentskill.com/skills/airbytehq-airbyte/audit","repository":"https://github.com/airbytehq/airbyte"}},{"rank":3,"match_score":186.2,"slug":"elementary-data-elementary","name":"Elementary","description":"The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.","tagline":"The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.","category":"data-analysis","tags":["data-analysis","analytics","analytics-engineer","bigquery","data-governance","data-lineage","data-observability","data-pipeline","data-pipelines","data-reliability"],"author":{"name":"elementary-data","verified":true,"url":"https://github.com/elementary-data"},"stats":{"stars":2357,"forks":220,"downloads":0,"rating":0,"review_count":0,"quality_score":65.31},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"2.4K","tone":"positive"},{"label":"Freshness","value":"8d 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 elementary-data/elementary"},{"status":"pass","label":"Repository","detail":"https://github.com/elementary-data/elementary"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"8d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"2.4K 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":["HTML","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 elementary-data/elementary","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add elementary-data/elementary","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 \"Elementary\" agent skill from https://github.com/elementary-data/elementary. 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 dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.","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 \"Elementary\" as a Claude Code skill from https://github.com/elementary-data/elementary. 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 dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.","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 \"Elementary\" from https://github.com/elementary-data/elementary 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 dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/elementary-data/elementary","github_repo":"elementary-data/elementary","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-07T03:02:57.857764+00:00","canonical_key":"elementary-data/elementary","recommendation_reasons":["Matches task terms: pipeline","Useful GitHub adoption: 2,357 stars","Install handoff is available","Repository freshness signal is available","Registry match score 186"],"urls":{"web":"https://www.openagentskill.com/skills/elementary-data-elementary","api":"https://www.openagentskill.com/api/agent/skills/elementary-data-elementary","install_api":"https://www.openagentskill.com/api/skills/elementary-data-elementary/install","audit":"https://www.openagentskill.com/skills/elementary-data-elementary/audit","repository":"https://github.com/elementary-data/elementary"}},{"rank":4,"match_score":170.9,"slug":"apache-shardingsphere","name":"Shardingsphere","description":"Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.","tagline":"Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.","category":"data-analysis","tags":["data-pipeline","automation","bigdata","data-encryption","database","database-cluster","database-gateway","database-middleware","distributed-database","distributed-sql-database"],"author":{"name":"apache","verified":true,"url":"https://github.com/apache"},"stats":{"stars":20735,"forks":6893,"downloads":0,"rating":0,"review_count":0,"quality_score":73.42},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"21K","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 apache/shardingsphere"},{"status":"pass","label":"Repository","detail":"https://github.com/apache/shardingsphere"},{"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":"21K 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":["Java","Data Pipeline","Claude Code"],"use_cases":[{"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"},{"slug":"database-sql","title":"Database and SQL","url":"https://www.openagentskill.com/use-cases/database-sql"}],"install":"npx skills add apache/shardingsphere","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add apache/shardingsphere","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 \"Shardingsphere\" agent skill from https://github.com/apache/shardingsphere. 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: Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.","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 \"Shardingsphere\" as a Claude Code skill from https://github.com/apache/shardingsphere. 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: Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.","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 \"Shardingsphere\" from https://github.com/apache/shardingsphere 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: Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/apache/shardingsphere","github_repo":"apache/shardingsphere","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T03:00:25.886139+00:00","canonical_key":"apache/shardingsphere","recommendation_reasons":["Matches task terms: pipeline","Strong GitHub adoption: 20,735 stars","Quality score 73/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/apache-shardingsphere","api":"https://www.openagentskill.com/api/agent/skills/apache-shardingsphere","install_api":"https://www.openagentskill.com/api/skills/apache-shardingsphere/install","audit":"https://www.openagentskill.com/skills/apache-shardingsphere/audit","repository":"https://github.com/apache/shardingsphere"}},{"rank":5,"match_score":170.2,"slug":"pathwaycom-llm-app","name":"Llm App","description":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.","tagline":"Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.","category":"data","tags":["rag","retrieval","chatbot","hugging-face","llm","llm-local","llm-prompting","llm-security","llmops","machine-learning"],"author":{"name":"pathwaycom","verified":true,"url":"https://github.com/pathwaycom"},"stats":{"stars":59353,"forks":1419,"downloads":0,"rating":0,"review_count":0,"quality_score":76.61},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"59K","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 pathwaycom/llm-app"},{"status":"pass","label":"Repository","detail":"https://github.com/pathwaycom/llm-app"},{"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":"59K 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":["Jupyter Notebook","RAG","Claude Code"],"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"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 pathwaycom/llm-app","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add pathwaycom/llm-app","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 \"Llm App\" agent skill from https://github.com/pathwaycom/llm-app. 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: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and 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 \"Llm App\" as a Claude Code skill from https://github.com/pathwaycom/llm-app. 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: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and 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 \"Llm App\" from https://github.com/pathwaycom/llm-app 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: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/pathwaycom/llm-app","github_repo":"pathwaycom/llm-app","version":"1.0.0","license":"MIT","updated_at":"2026-06-12T02:00:52.192676+00:00","canonical_key":"pathwaycom/llm-app","recommendation_reasons":["Matches task terms: pipeline","Strong GitHub adoption: 59,353 stars","Quality score 77/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/pathwaycom-llm-app","api":"https://www.openagentskill.com/api/agent/skills/pathwaycom-llm-app","install_api":"https://www.openagentskill.com/api/skills/pathwaycom-llm-app/install","audit":"https://www.openagentskill.com/skills/pathwaycom-llm-app/audit","repository":"https://github.com/pathwaycom/llm-app"}},{"rank":6,"match_score":169.5,"slug":"deepset-ai-haystack","name":"Haystack","description":"Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.","tagline":"Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.","category":"data","tags":["rag","retrieval","agent","agents","ai","gemini","generative-ai","gpt-4","information-retrieval","large-language-models"],"author":{"name":"deepset-ai","verified":true,"url":"https://github.com/deepset-ai"},"stats":{"stars":25558,"forks":2844,"downloads":0,"rating":0,"review_count":0,"quality_score":74.05},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"26K","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 deepset-ai/haystack"},{"status":"pass","label":"Repository","detail":"https://github.com/deepset-ai/haystack"},{"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":"26K 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":["MDX","RAG","Claude Code","OpenAI Agents"],"use_cases":[{"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"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"install":"npx skills add deepset-ai/haystack","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add deepset-ai/haystack","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 \"Haystack\" agent skill from https://github.com/deepset-ai/haystack. 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: Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.","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 \"Haystack\" as a Claude Code skill from https://github.com/deepset-ai/haystack. 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: Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.","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 \"Haystack\" from https://github.com/deepset-ai/haystack 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: Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/deepset-ai/haystack","github_repo":"deepset-ai/haystack","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T03:03:34.921901+00:00","canonical_key":"deepset-ai/haystack","recommendation_reasons":["Matches task terms: pipeline","Strong GitHub adoption: 25,558 stars","Quality score 74/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/deepset-ai-haystack","api":"https://www.openagentskill.com/api/agent/skills/deepset-ai-haystack","install_api":"https://www.openagentskill.com/api/skills/deepset-ai-haystack/install","audit":"https://www.openagentskill.com/skills/deepset-ai-haystack/audit","repository":"https://github.com/deepset-ai/haystack"}},{"rank":7,"match_score":169.5,"slug":"debezium-debezium","name":"Debezium","description":"Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.","tagline":"Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.","category":"data-analysis","tags":["data-pipeline","automation","apache-kafka","cdc","change-data-capture","database","debezium","event-streaming","hacktoberfest","kafka"],"author":{"name":"debezium","verified":true,"url":"https://github.com/debezium"},"stats":{"stars":12811,"forks":2951,"downloads":0,"rating":0,"review_count":0,"quality_score":71.95},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"13K","tone":"positive"},{"label":"Freshness","value":"2d 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 debezium/debezium"},{"status":"pass","label":"Repository","detail":"https://github.com/debezium/debezium"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"2d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"13K 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":["Java","Data Pipeline","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":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"install":"npx skills add debezium/debezium","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add debezium/debezium","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 \"Debezium\" agent skill from https://github.com/debezium/debezium. 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: Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.","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 \"Debezium\" as a Claude Code skill from https://github.com/debezium/debezium. 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: Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.","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 \"Debezium\" from https://github.com/debezium/debezium 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: Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/debezium/debezium","github_repo":"debezium/debezium","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-11T03:05:52.082381+00:00","canonical_key":"debezium/debezium","recommendation_reasons":["Matches task terms: pipeline","Strong GitHub adoption: 12,811 stars","Quality score 72/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/debezium-debezium","api":"https://www.openagentskill.com/api/agent/skills/debezium-debezium","install_api":"https://www.openagentskill.com/api/skills/debezium-debezium/install","audit":"https://www.openagentskill.com/skills/debezium-debezium/audit","repository":"https://github.com/debezium/debezium"}},{"rank":8,"match_score":168.1,"slug":"memvid-memvid","name":"Memvid","description":"Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.","tagline":"Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.","category":"data","tags":["rag","retrieval","ai","context","embedded","faiss","knowledge-base","knowledge-graph","llm","machine-learning"],"author":{"name":"memvid","verified":true,"url":"https://github.com/memvid"},"stats":{"stars":15642,"forks":1351,"downloads":0,"rating":0,"review_count":0,"quality_score":72.56},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"16K","tone":"positive"},{"label":"Freshness","value":"16d 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 memvid/memvid"},{"status":"pass","label":"Repository","detail":"https://github.com/memvid/memvid"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"16d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"16K 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":["Rust","RAG","Claude Code"],"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"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 memvid/memvid","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add memvid/memvid","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 \"Memvid\" agent skill from https://github.com/memvid/memvid. 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: Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and 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 \"Memvid\" as a Claude Code skill from https://github.com/memvid/memvid. 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: Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and 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 \"Memvid\" from https://github.com/memvid/memvid 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: Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/memvid/memvid","github_repo":"memvid/memvid","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-12T02:00:52.845282+00:00","canonical_key":"memvid/memvid","recommendation_reasons":["Matches task terms: pipeline","Strong GitHub adoption: 15,642 stars","Quality score 73/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/memvid-memvid","api":"https://www.openagentskill.com/api/agent/skills/memvid-memvid","install_api":"https://www.openagentskill.com/api/skills/memvid-memvid/install","audit":"https://www.openagentskill.com/skills/memvid-memvid/audit","repository":"https://github.com/memvid/memvid"}},{"rank":9,"match_score":167.4,"slug":"snowplow-snowplow","name":"Snowplow","description":"The leader in Customer Data Infrastructure","tagline":"The leader in Customer Data Infrastructure","category":"data-analysis","tags":["data-pipeline","automation","analytics","data","data-collection","marketing-analytics","product-analytics","snowplow","snowplow-events","snowplow-pipeline"],"author":{"name":"snowplow","verified":true,"url":"https://github.com/snowplow"},"stats":{"stars":7011,"forks":1176,"downloads":0,"rating":0,"review_count":0,"quality_score":68.62},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"7.0K","tone":"positive"},{"label":"Freshness","value":"4d 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 snowplow/snowplow"},{"status":"pass","label":"Repository","detail":"https://github.com/snowplow/snowplow"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"4d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"7.0K 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 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":["Scala","Data Pipeline","Claude Code"],"use_cases":[{"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"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"install":"npx skills add snowplow/snowplow","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add snowplow/snowplow","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 \"Snowplow\" agent skill from https://github.com/snowplow/snowplow. 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 leader in Customer Data Infrastructure","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 \"Snowplow\" as a Claude Code skill from https://github.com/snowplow/snowplow. 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 leader in Customer Data Infrastructure","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 \"Snowplow\" from https://github.com/snowplow/snowplow 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. 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