{"query":"Pytorch Forecasting","filters":{"category":null,"platform":null,"min_stars":0},"total":10,"skills":[{"rank":1,"match_score":245.3,"slug":"sktime-pytorch-forecasting","name":"Pytorch Forecasting","description":"Time series forecasting with PyTorch","tagline":"Time series forecasting with PyTorch","category":"ml-automation","tags":["machine-learning","automation","ml-media","ai","artificial-intelligence","data-science","deep-learning","forecasting","gpu","hacktoberfest"],"author":{"name":"sktime","verified":true,"url":"https://github.com/sktime"},"stats":{"stars":4919,"forks":869,"downloads":0,"rating":0,"review_count":0,"quality_score":67.54},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"4.9K","tone":"positive"},{"label":"Freshness","value":"3d 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 sktime/pytorch-forecasting"},{"status":"pass","label":"Repository","detail":"https://github.com/sktime/pytorch-forecasting"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"3d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"4.9K 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","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":["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 sktime/pytorch-forecasting","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add sktime/pytorch-forecasting","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 \"Pytorch Forecasting\" agent skill from https://github.com/sktime/pytorch-forecasting. 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: Time series forecasting with PyTorch","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 \"Pytorch Forecasting\" as a Claude Code skill from https://github.com/sktime/pytorch-forecasting. 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: Time series forecasting with PyTorch","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 \"Pytorch Forecasting\" from https://github.com/sktime/pytorch-forecasting 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: Time series forecasting with PyTorch","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/sktime/pytorch-forecasting","github_repo":"sktime/pytorch-forecasting","version":"1.0.0","license":"MIT","updated_at":"2026-06-13T10:00:41.232177+00:00","canonical_key":"sktime/pytorch-forecasting","recommendation_reasons":["Matches task terms: pytorch, forecasting","Useful GitHub adoption: 4,919 stars","Install handoff is available","Repository freshness signal is available","Registry match score 245"],"urls":{"web":"https://www.openagentskill.com/skills/sktime-pytorch-forecasting","api":"https://www.openagentskill.com/api/agent/skills/sktime-pytorch-forecasting","install_api":"https://www.openagentskill.com/api/skills/sktime-pytorch-forecasting/install","audit":"https://www.openagentskill.com/skills/sktime-pytorch-forecasting/audit","repository":"https://github.com/sktime/pytorch-forecasting"}},{"rank":2,"match_score":77.9,"slug":"ai4finance-foundation-fingpt","name":"FinGPT","description":"FinGPT: Open-Source Financial Large Language Models!  Revolutionize 🔥    We release the trained model on HuggingFace.","tagline":"FinGPT: Open-Source Financial Large Language Models!  Revolutionize 🔥    We release the trained model on HuggingFace.","category":"finance","tags":["finance","analysis","chatgpt","fingpt","fintech","large-language-models","machine-learning","nlp","prompt-engineering","pytorch"],"author":{"name":"AI4Finance-Foundation","verified":true,"url":"https://github.com/AI4Finance-Foundation"},"stats":{"stars":20470,"forks":2905,"downloads":0,"rating":0,"review_count":0,"quality_score":73.38},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"20K","tone":"positive"},{"label":"Freshness","value":"11d 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 AI4Finance-Foundation/FinGPT"},{"status":"pass","label":"Repository","detail":"https://github.com/AI4Finance-Foundation/FinGPT"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"11d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"20K 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":["Jupyter Notebook","Finance","Claude Code","OpenAI Agents"],"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":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"install":"npx skills add AI4Finance-Foundation/FinGPT","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add AI4Finance-Foundation/FinGPT","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 \"FinGPT\" agent skill from https://github.com/AI4Finance-Foundation/FinGPT. 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: FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.","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 \"FinGPT\" as a Claude Code skill from https://github.com/AI4Finance-Foundation/FinGPT. 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: FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.","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 \"FinGPT\" from https://github.com/AI4Finance-Foundation/FinGPT 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: FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/AI4Finance-Foundation/FinGPT","github_repo":"AI4Finance-Foundation/FinGPT","version":"1.0.0","license":"MIT","updated_at":"2026-06-12T02:49:57.902842+00:00","canonical_key":"ai4finance-foundation/fingpt","recommendation_reasons":["Matches task terms: pytorch","Strong GitHub adoption: 20,470 stars","Quality score 73/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/ai4finance-foundation-fingpt","api":"https://www.openagentskill.com/api/agent/skills/ai4finance-foundation-fingpt","install_api":"https://www.openagentskill.com/api/skills/ai4finance-foundation-fingpt/install","audit":"https://www.openagentskill.com/skills/ai4finance-foundation-fingpt/audit","repository":"https://github.com/AI4Finance-Foundation/FinGPT"}},{"rank":3,"match_score":76.4,"slug":"daybreak-u-chineseocr-lite","name":"Chineseocr Lite","description":"超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M ","tagline":"超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M ","category":"document-processing","tags":["ocr","documents","extraction","ncnn","pytorch","c++","github"],"author":{"name":"DayBreak-u","verified":true,"url":"https://github.com/DayBreak-u"},"stats":{"stars":12315,"forks":2279,"downloads":0,"rating":0,"review_count":0,"quality_score":71.83},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"12K","tone":"positive"},{"label":"Freshness","value":"26d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"GPL-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 DayBreak-u/chineseocr_lite"},{"status":"pass","label":"Repository","detail":"https://github.com/DayBreak-u/chineseocr_lite"},{"status":"pass","label":"License","detail":"GPL-2.0"},{"status":"pass","label":"Maintenance","detail":"26d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"12K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Document processing","role":"Primary pick","primary_fit":"Document processing","best_for":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["C++","OCR","Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"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 DayBreak-u/chineseocr_lite","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add DayBreak-u/chineseocr_lite","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 \"Chineseocr Lite\" agent skill from https://github.com/DayBreak-u/chineseocr_lite. 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: 超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M","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 \"Chineseocr Lite\" as a Claude Code skill from https://github.com/DayBreak-u/chineseocr_lite. 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: 超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M","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 \"Chineseocr Lite\" from https://github.com/DayBreak-u/chineseocr_lite 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: 超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/DayBreak-u/chineseocr_lite","github_repo":"DayBreak-u/chineseocr_lite","version":"1.0.0","license":"GPL-2.0","updated_at":"2026-06-12T10:01:39.985376+00:00","canonical_key":"daybreak-u/chineseocr_lite","recommendation_reasons":["Matches task terms: pytorch","Strong GitHub adoption: 12,315 stars","Quality score 72/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/daybreak-u-chineseocr-lite","api":"https://www.openagentskill.com/api/agent/skills/daybreak-u-chineseocr-lite","install_api":"https://www.openagentskill.com/api/skills/daybreak-u-chineseocr-lite/install","audit":"https://www.openagentskill.com/skills/daybreak-u-chineseocr-lite/audit","repository":"https://github.com/DayBreak-u/chineseocr_lite"}},{"rank":4,"match_score":76.2,"slug":"statsmodels-statsmodels","name":"Statsmodels","description":"Statsmodels: statistical modeling and econometrics in Python","tagline":"Statsmodels: statistical modeling and econometrics in Python","category":"data-analysis","tags":["data-analysis","analytics","count-model","data-science","econometrics","forecasting","generalized-linear-models","hypothesis-testing","prediction","python"],"author":{"name":"statsmodels","verified":true,"url":"https://github.com/statsmodels"},"stats":{"stars":11455,"forks":3356,"downloads":0,"rating":0,"review_count":0,"quality_score":71.61},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"11K","tone":"positive"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"BSD-3-Clause","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add statsmodels/statsmodels"},{"status":"pass","label":"Repository","detail":"https://github.com/statsmodels/statsmodels"},{"status":"pass","label":"License","detail":"BSD-3-Clause"},{"status":"pass","label":"Maintenance","detail":"Pushed today"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"11K GitHub stars"},{"status":"warn","label":"Documentation","detail":"Summary is thin"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":["Documentation summary is thin"]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Documentation summary is thin"]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Data analysis","role":"Primary pick","primary_fit":"Data analysis","best_for":["Data analysis workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Data analysis task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Python","Data Analysis","Claude Code"],"use_cases":[{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"install":"npx skills add statsmodels/statsmodels","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add statsmodels/statsmodels","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Statsmodels\" agent skill from https://github.com/statsmodels/statsmodels. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Statsmodels: statistical modeling and econometrics in Python","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Statsmodels\" as a Claude Code skill from https://github.com/statsmodels/statsmodels. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Statsmodels: statistical modeling and econometrics in Python","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Statsmodels\" from https://github.com/statsmodels/statsmodels into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Statsmodels: statistical modeling and econometrics in Python","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/statsmodels/statsmodels","github_repo":"statsmodels/statsmodels","version":"1.0.0","license":"BSD-3-Clause","updated_at":"2026-06-13T03:00:25.864316+00:00","canonical_key":"statsmodels/statsmodels","recommendation_reasons":["Matches task terms: forecasting","Strong GitHub adoption: 11,455 stars","Quality score 72/100","Install handoff is available","Repository freshness signal is available"],"urls":{"web":"https://www.openagentskill.com/skills/statsmodels-statsmodels","api":"https://www.openagentskill.com/api/agent/skills/statsmodels-statsmodels","install_api":"https://www.openagentskill.com/api/skills/statsmodels-statsmodels/install","audit":"https://www.openagentskill.com/skills/statsmodels-statsmodels/audit","repository":"https://github.com/statsmodels/statsmodels"}},{"rank":5,"match_score":75.4,"slug":"sktime-sktime","name":"Sktime","description":"A unified framework for machine learning with time series","tagline":"A unified framework for machine learning with time series","category":"ml-automation","tags":["machine-learning","automation","ml-media","ai","anomaly-detection","changepoint-detection","data-mining","data-science","forecasting","hacktoberfest"],"author":{"name":"sktime","verified":true,"url":"https://github.com/sktime"},"stats":{"stars":9801,"forks":2187,"downloads":0,"rating":0,"review_count":0,"quality_score":69.64},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.8K","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 sktime/sktime"},{"status":"pass","label":"Repository","detail":"https://github.com/sktime/sktime"},{"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":"9.8K 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":["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 sktime/sktime","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add sktime/sktime","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 \"Sktime\" agent skill from https://github.com/sktime/sktime. 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 unified framework for machine learning with time series","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 \"Sktime\" as a Claude Code skill from https://github.com/sktime/sktime. 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 unified framework for machine learning with time series","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 \"Sktime\" from https://github.com/sktime/sktime 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 unified framework for machine learning with time series","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/sktime/sktime","github_repo":"sktime/sktime","version":"1.0.0","license":"BSD-3-Clause","updated_at":"2026-06-13T00:01:29.173069+00:00","canonical_key":"sktime/sktime","recommendation_reasons":["Matches task terms: forecasting","Useful GitHub adoption: 9,801 stars","Install handoff is available","Repository freshness signal is available","Registry match score 75"],"urls":{"web":"https://www.openagentskill.com/skills/sktime-sktime","api":"https://www.openagentskill.com/api/agent/skills/sktime-sktime","install_api":"https://www.openagentskill.com/api/skills/sktime-sktime/install","audit":"https://www.openagentskill.com/skills/sktime-sktime/audit","repository":"https://github.com/sktime/sktime"}},{"rank":6,"match_score":75.3,"slug":"replicate-cog","name":"Cog","description":"Containers for machine learning","tagline":"Containers for machine learning","category":"ml-automation","tags":["machine-learning","automation","ml-media","ai","containers","cuda","docker","pytorch","tensorflow","go"],"author":{"name":"replicate","verified":true,"url":"https://github.com/replicate"},"stats":{"stars":9424,"forks":692,"downloads":0,"rating":0,"review_count":0,"quality_score":69.52},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.4K","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 replicate/cog"},{"status":"pass","label":"Repository","detail":"https://github.com/replicate/cog"},{"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":"9.4K 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":["Go","Machine Learning","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 replicate/cog","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add replicate/cog","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 \"Cog\" agent skill from https://github.com/replicate/cog. 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: Containers for machine learning","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 \"Cog\" as a Claude Code skill from https://github.com/replicate/cog. 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: Containers for machine learning","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 \"Cog\" from https://github.com/replicate/cog 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: Containers for machine learning","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/replicate/cog","github_repo":"replicate/cog","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T00:01:29.307473+00:00","canonical_key":"replicate/cog","recommendation_reasons":["Matches task terms: pytorch","Useful GitHub adoption: 9,424 stars","Install handoff is available","Repository freshness signal is available","Registry match score 75"],"urls":{"web":"https://www.openagentskill.com/skills/replicate-cog","api":"https://www.openagentskill.com/api/agent/skills/replicate-cog","install_api":"https://www.openagentskill.com/api/skills/replicate-cog/install","audit":"https://www.openagentskill.com/skills/replicate-cog/audit","repository":"https://github.com/replicate/cog"}},{"rank":7,"match_score":75.2,"slug":"unit8co-darts","name":"Darts","description":"A python library for user-friendly forecasting and anomaly detection on time series.","tagline":"A python library for user-friendly forecasting and anomaly detection on time series.","category":"ml-automation","tags":["machine-learning","automation","ml-media","anomaly-detection","data-science","deep-learning","forecasting","python","time-series","github"],"author":{"name":"unit8co","verified":true,"url":"https://github.com/unit8co"},"stats":{"stars":9414,"forks":1006,"downloads":0,"rating":0,"review_count":0,"quality_score":69.52},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"9.4K","tone":"positive"},{"label":"Freshness","value":"6d 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 unit8co/darts"},{"status":"pass","label":"Repository","detail":"https://github.com/unit8co/darts"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"6d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"9.4K 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","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":["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 unit8co/darts","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add unit8co/darts","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 \"Darts\" agent skill from https://github.com/unit8co/darts. 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 python library for user-friendly forecasting and anomaly detection on time series.","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 \"Darts\" as a Claude Code skill from https://github.com/unit8co/darts. 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 python library for user-friendly forecasting and anomaly detection on time series.","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 \"Darts\" from https://github.com/unit8co/darts 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 python library for user-friendly forecasting and anomaly detection on time series.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/unit8co/darts","github_repo":"unit8co/darts","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T00:01:29.333595+00:00","canonical_key":"unit8co/darts","recommendation_reasons":["Matches task terms: forecasting","Useful GitHub adoption: 9,414 stars","Install handoff is available","Repository freshness signal is available","Registry match score 75"],"urls":{"web":"https://www.openagentskill.com/skills/unit8co-darts","api":"https://www.openagentskill.com/api/agent/skills/unit8co-darts","install_api":"https://www.openagentskill.com/api/skills/unit8co-darts/install","audit":"https://www.openagentskill.com/skills/unit8co-darts/audit","repository":"https://github.com/unit8co/darts"}},{"rank":8,"match_score":75.1,"slug":"pyro-ppl-pyro","name":"Pyro","description":"Deep universal probabilistic programming with Python and PyTorch","tagline":"Deep universal probabilistic programming with Python and PyTorch","category":"ml-automation","tags":["machine-learning","automation","ml-media","bayesian","bayesian-inference","deep-learning","probabilistic-modeling","probabilistic-programming","python","pytorch"],"author":{"name":"pyro-ppl","verified":true,"url":"https://github.com/pyro-ppl"},"stats":{"stars":9008,"forks":1010,"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":"7d 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 pyro-ppl/pyro"},{"status":"pass","label":"Repository","detail":"https://github.com/pyro-ppl/pyro"},{"status":"pass","label":"License","detail":"Apache-2.0"},{"status":"pass","label":"Maintenance","detail":"7d since push"},{"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":["Python","Machine Learning","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 pyro-ppl/pyro","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add pyro-ppl/pyro","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 \"Pyro\" agent skill from https://github.com/pyro-ppl/pyro. 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: Deep universal probabilistic programming with Python and PyTorch","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 \"Pyro\" as a Claude Code skill from https://github.com/pyro-ppl/pyro. 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: Deep universal probabilistic programming with Python and PyTorch","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 \"Pyro\" from https://github.com/pyro-ppl/pyro 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: Deep universal probabilistic programming with Python and PyTorch","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/pyro-ppl/pyro","github_repo":"pyro-ppl/pyro","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-13T00:01:29.618008+00:00","canonical_key":"pyro-ppl/pyro","recommendation_reasons":["Matches task terms: pytorch","Useful GitHub adoption: 9,008 stars","Install handoff is available","Repository freshness signal is available","Registry match score 75"],"urls":{"web":"https://www.openagentskill.com/skills/pyro-ppl-pyro","api":"https://www.openagentskill.com/api/agent/skills/pyro-ppl-pyro","install_api":"https://www.openagentskill.com/api/skills/pyro-ppl-pyro/install","audit":"https://www.openagentskill.com/skills/pyro-ppl-pyro/audit","repository":"https://github.com/pyro-ppl/pyro"}},{"rank":9,"match_score":74,"slug":"skorch-dev-skorch","name":"Skorch","description":"A scikit-learn compatible neural network library that wraps PyTorch","tagline":"A scikit-learn compatible neural network library that wraps PyTorch","category":"ml-automation","tags":["machine-learning","automation","ml-media","hacktoberfest","huggingface","pytorch","scikit-learn","jupyter notebook","github"],"author":{"name":"skorch-dev","verified":true,"url":"https://github.com/skorch-dev"},"stats":{"stars":6166,"forks":411,"downloads":0,"rating":0,"review_count":0,"quality_score":68.23},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"6.2K","tone":"positive"},{"label":"Freshness","value":"15d 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 skorch-dev/skorch"},{"status":"pass","label":"Repository","detail":"https://github.com/skorch-dev/skorch"},{"status":"pass","label":"License","detail":"BSD-3-Clause"},{"status":"pass","label":"Maintenance","detail":"15d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"6.2K 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":["Jupyter Notebook","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 skorch-dev/skorch","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add skorch-dev/skorch","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 \"Skorch\" agent skill from https://github.com/skorch-dev/skorch. 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 scikit-learn compatible neural network library that wraps PyTorch","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 \"Skorch\" as a Claude Code skill from https://github.com/skorch-dev/skorch. 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 scikit-learn compatible neural network library that wraps PyTorch","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 \"Skorch\" from https://github.com/skorch-dev/skorch 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 scikit-learn compatible neural network library that wraps PyTorch","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/skorch-dev/skorch","github_repo":"skorch-dev/skorch","version":"1.0.0","license":"BSD-3-Clause","updated_at":"2026-06-13T05:00:34.095482+00:00","canonical_key":"skorch-dev/skorch","recommendation_reasons":["Matches task terms: pytorch","Useful GitHub adoption: 6,166 stars","Install handoff is available","Repository freshness signal is available","Registry match score 74"],"urls":{"web":"https://www.openagentskill.com/skills/skorch-dev-skorch","api":"https://www.openagentskill.com/api/agent/skills/skorch-dev-skorch","install_api":"https://www.openagentskill.com/api/skills/skorch-dev-skorch/install","audit":"https://www.openagentskill.com/skills/skorch-dev-skorch/audit","repository":"https://github.com/skorch-dev/skorch"}},{"rank":10,"match_score":74,"slug":"mindee-doctr","name":"Doctr","description":"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","tagline":"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","category":"document-processing","tags":["ocr","documents","extraction","deep-learning","document-recognition","optical-character-recognition","pytorch","tensorflow2","text-detection","text-detection-recognition"],"author":{"name":"mindee","verified":true,"url":"https://github.com/mindee"},"stats":{"stars":6134,"forks":649,"downloads":0,"rating":0,"review_count":0,"quality_score":68.21},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"6.1K","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 mindee/doctr"},{"status":"pass","label":"Repository","detail":"https://github.com/mindee/doctr"},{"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":"6.1K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Document processing","role":"Primary pick","primary_fit":"Document processing","best_for":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Document processing task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"platforms":["Python","OCR","Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-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 mindee/doctr","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add mindee/doctr","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 \"Doctr\" agent skill from https://github.com/mindee/doctr. 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: docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","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 \"Doctr\" as a Claude Code skill from https://github.com/mindee/doctr. 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: docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","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 \"Doctr\" from https://github.com/mindee/doctr 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: docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/mindee/doctr","github_repo":"mindee/doctr","version":"1.0.0","license":"Apache-2.0","updated_at":"2026-06-12T10:01:40.2993+00:00","canonical_key":"mindee/doctr","recommendation_reasons":["Matches task terms: pytorch","Useful GitHub adoption: 6,134 stars","Install handoff is available","Repository freshness signal is available","Registry match score 74"],"urls":{"web":"https://www.openagentskill.com/skills/mindee-doctr","api":"https://www.openagentskill.com/api/agent/skills/mindee-doctr","install_api":"https://www.openagentskill.com/api/skills/mindee-doctr/install","audit":"https://www.openagentskill.com/skills/mindee-doctr/audit","repository":"https://github.com/mindee/doctr"}}],"meta":{"endpoint":"/api/skills/search","canonical_agent_endpoint":"/api/agent/recommend","agent_friendly":true,"api_version":"1.0","generated_at":"2026-06-13T12:33:10.600Z"}}