[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-azure-foundry-code":3,"mdc--j3s0f4-key":58,"related-org-azure-foundry-code":414,"related-repo-azure-foundry-code":595},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":30,"repoUrl":31,"updatedAt":32,"license":33,"forks":34,"topics":35,"repo":53,"sourceUrl":56,"mdContent":57},"foundry-code","execute Python code in Azure Foundry","Python code execution via Azure AI Foundry Responses API with code_interpreter tool. Data analysis, charts, and math in a managed sandbox.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"azure","Azure (Microsoft)","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fazure.png","Azure",[13,15,18,21,24,27],{"name":11,"slug":8,"type":14},"tag",{"name":16,"slug":17,"type":14},"Data Visualization","data-visualization",{"name":19,"slug":20,"type":14},"Mathematics","mathematics",{"name":22,"slug":23,"type":14},"Data Analysis","data-analysis",{"name":25,"slug":26,"type":14},"Python","python",{"name":28,"slug":29,"type":14},"Charts","charts",28,"https:\u002F\u002Fgithub.com\u002FAzure\u002Fkars","2026-07-12T08:18:30.4206",null,2,[36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52],"agent","agentic-framework","agentmesh","ai-agent","ai-agents-automation","ai-sandbox","end-to-end-encryption","hermes","hermes-agent","kubernetes","kubernetes-sandbox","microsoft","openclaw","reference","runtime-security","sandbox","zero-trust",{"repoUrl":31,"stars":30,"forks":34,"topics":54,"description":55},[36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52],"Agent Reference Stack for Kubernetes (kars) - an open source stack from Microsoft for running AI agents safely on Kubernetes. Multi-runtime, Foundry-aware, hardened per-agent sandboxes, governed egress, end-to-end encrypted inter-agent mesh.","https:\u002F\u002Fgithub.com\u002FAzure\u002Fkars\u002Ftree\u002FHEAD\u002Fruntimes\u002Fopenclaw\u002Fskills\u002Ffoundry-code","---\nname: foundry-code\ndescription: Python code execution via Azure AI Foundry Responses API with code_interpreter tool. Data analysis, charts, and math in a managed sandbox.\nmetadata: {\"openclaw\": {\"requires\": {\"env\": [\"FOUNDRY_PROJECT_ENDPOINT\"]}, \"primaryEnv\": \"FOUNDRY_PROJECT_ENDPOINT\"}}\n---\n\n# Foundry Code — Code Interpreter (Responses API)\n\nYou have access to Python code execution via the Foundry Responses API `code_interpreter` tool. Use this for data analysis, chart generation, complex math, and file processing. No Foundry hosted agent needed — uses direct Responses API.\n\n## Why use this instead of local bash\u002Fpython\n\nThe local sandbox has restricted packages. Foundry code_interpreter runs server-side with pre-installed data science libraries (pandas, numpy, matplotlib, scipy, etc.) and can generate visualizations.\n\n## Endpoint\n\nAll requests: `http:\u002F\u002Flocalhost:8443` with `?api-version=2025-11-15-preview`. Auth is automatic.\n\n## Operations\n\n### Run Python code\n\n```bash\ncurl -s -X POST 'http:\u002F\u002Flocalhost:8443\u002Fopenai\u002Fresponses?api-version=2025-11-15-preview' \\\n  -H 'Content-Type: application\u002Fjson' \\\n  -d '{\"model\":\"gpt-4.1\",\"input\":\"Calculate the first 20 Fibonacci numbers and show them.\",\"tools\":[{\"type\":\"code_interpreter\",\"container\":{\"type\":\"auto\"}}],\"store\":false}'\n```\n\nThe model will write and execute Python code, returning both the code and its output.\n\n### Data analysis\n\n```bash\ncurl -s -X POST 'http:\u002F\u002Flocalhost:8443\u002Fopenai\u002Fresponses?api-version=2025-11-15-preview' \\\n  -H 'Content-Type: application\u002Fjson' \\\n  -d '{\"model\":\"gpt-4.1\",\"input\":\"Generate 100 random data points, compute mean\u002Fmedian\u002Fstd, and tell me if normally distributed.\",\"tools\":[{\"type\":\"code_interpreter\",\"container\":{\"type\":\"auto\"}}],\"store\":false}'\n```\n\n## When to use\n\n- User asks for data analysis: \"analyze this\", \"show statistics\"\n- Charts or visualizations: \"plot the trend\", \"create a chart\"\n- Complex math: \"solve this equation\", \"calculate correlation\"\n- Anything requiring Python runtime\n\n## When NOT to use\n\n- For simple shell commands (use local bash)\n- For web searches (use foundry-web-search)\n- For document Q&A (use foundry-knowledge)\n- For remembering preferences (use foundry-memory)\n",{"data":59,"body":65},{"name":4,"description":6,"metadata":60},{"openclaw":61},{"requires":62,"primaryEnv":64},{"env":63},[64],"FOUNDRY_PROJECT_ENDPOINT",{"type":66,"children":67},"root",[68,77,92,99,104,110,131,137,144,253,258,263,348,354,379,385,408],{"type":69,"tag":70,"props":71,"children":73},"element","h1",{"id":72},"foundry-code-code-interpreter-responses-api",[74],{"type":75,"value":76},"text","Foundry Code — Code Interpreter (Responses API)",{"type":69,"tag":78,"props":79,"children":80},"p",{},[81,83,90],{"type":75,"value":82},"You have access to Python code execution via the Foundry Responses API ",{"type":69,"tag":84,"props":85,"children":87},"code",{"className":86},[],[88],{"type":75,"value":89},"code_interpreter",{"type":75,"value":91}," tool. Use this for data analysis, chart generation, complex math, and file processing. No Foundry hosted agent needed — uses direct Responses API.",{"type":69,"tag":93,"props":94,"children":96},"h2",{"id":95},"why-use-this-instead-of-local-bashpython",[97],{"type":75,"value":98},"Why use this instead of local bash\u002Fpython",{"type":69,"tag":78,"props":100,"children":101},{},[102],{"type":75,"value":103},"The local sandbox has restricted packages. 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Auth is automatic.",{"type":69,"tag":93,"props":132,"children":134},{"id":133},"operations",[135],{"type":75,"value":136},"Operations",{"type":69,"tag":138,"props":139,"children":141},"h3",{"id":140},"run-python-code",[142],{"type":75,"value":143},"Run Python code",{"type":69,"tag":145,"props":146,"children":151},"pre",{"className":147,"code":148,"language":149,"meta":150,"style":150},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","curl -s -X POST 'http:\u002F\u002Flocalhost:8443\u002Fopenai\u002Fresponses?api-version=2025-11-15-preview' \\\n  -H 'Content-Type: application\u002Fjson' \\\n  -d '{\"model\":\"gpt-4.1\",\"input\":\"Calculate the first 20 Fibonacci numbers and show 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them.\",\"tools\":[{\"type\":\"code_interpreter\",\"container\":{\"type\":\"auto\"}}],\"store\":false}",{"type":69,"tag":156,"props":249,"children":250},{"style":185},[251],{"type":75,"value":252},"'\n",{"type":69,"tag":78,"props":254,"children":255},{},[256],{"type":75,"value":257},"The model will write and execute Python code, returning both the code and its output.",{"type":69,"tag":138,"props":259,"children":260},{"id":23},[261],{"type":75,"value":262},"Data analysis",{"type":69,"tag":145,"props":264,"children":266},{"className":147,"code":265,"language":149,"meta":150,"style":150},"curl -s -X POST 'http:\u002F\u002Flocalhost:8443\u002Fopenai\u002Fresponses?api-version=2025-11-15-preview' \\\n  -H 'Content-Type: application\u002Fjson' \\\n  -d '{\"model\":\"gpt-4.1\",\"input\":\"Generate 100 random data points, compute mean\u002Fmedian\u002Fstd, and tell me if normally distributed.\",\"tools\":[{\"type\":\"code_interpreter\",\"container\":{\"type\":\"auto\"}}],\"store\":false}'\n",[267],{"type":69,"tag":84,"props":268,"children":269},{"__ignoreMap":150},[270,305,328],{"type":69,"tag":156,"props":271,"children":272},{"class":158,"line":159},[273,277,281,285,289,293,297,301],{"type":69,"tag":156,"props":274,"children":275},{"style":163},[276],{"type":75,"value":166},{"type":69,"tag":156,"props":278,"children":279},{"style":169},[280],{"type":75,"value":172},{"type":69,"tag":156,"props":282,"children":283},{"style":169},[284],{"type":75,"value":177},{"type":69,"tag":156,"props":286,"children":287},{"style":169},[288],{"type":75,"value":182},{"type":69,"tag":156,"props":290,"children":291},{"style":185},[292],{"type":75,"value":188},{"type":69,"tag":156,"props":294,"children":295},{"style":169},[296],{"type":75,"value":193},{"type":69,"tag":156,"props":298,"children":299},{"style":185},[300],{"type":75,"value":198},{"type":69,"tag":156,"props":302,"children":303},{"style":201},[304],{"type":75,"value":204},{"type":69,"tag":156,"props":306,"children":307},{"class":158,"line":34},[308,312,316,320,324],{"type":69,"tag":156,"props":309,"children":310},{"style":169},[311],{"type":75,"value":212},{"type":69,"tag":156,"props":313,"children":314},{"style":185},[315],{"type":75,"value":188},{"type":69,"tag":156,"props":317,"children":318},{"style":169},[319],{"type":75,"value":221},{"type":69,"tag":156,"props":321,"children":322},{"style":185},[323],{"type":75,"value":198},{"type":69,"tag":156,"props":325,"children":326},{"style":201},[327],{"type":75,"value":204},{"type":69,"tag":156,"props":329,"children":330},{"class":158,"line":232},[331,335,339,344],{"type":69,"tag":156,"props":332,"children":333},{"style":169},[334],{"type":75,"value":238},{"type":69,"tag":156,"props":336,"children":337},{"style":185},[338],{"type":75,"value":188},{"type":69,"tag":156,"props":340,"children":341},{"style":169},[342],{"type":75,"value":343},"{\"model\":\"gpt-4.1\",\"input\":\"Generate 100 random data points, compute mean\u002Fmedian\u002Fstd, and tell me if normally distributed.\",\"tools\":[{\"type\":\"code_interpreter\",\"container\":{\"type\":\"auto\"}}],\"store\":false}",{"type":69,"tag":156,"props":345,"children":346},{"style":185},[347],{"type":75,"value":252},{"type":69,"tag":93,"props":349,"children":351},{"id":350},"when-to-use",[352],{"type":75,"value":353},"When to use",{"type":69,"tag":355,"props":356,"children":357},"ul",{},[358,364,369,374],{"type":69,"tag":359,"props":360,"children":361},"li",{},[362],{"type":75,"value":363},"User asks for data analysis: \"analyze this\", \"show statistics\"",{"type":69,"tag":359,"props":365,"children":366},{},[367],{"type":75,"value":368},"Charts or visualizations: \"plot the trend\", \"create a chart\"",{"type":69,"tag":359,"props":370,"children":371},{},[372],{"type":75,"value":373},"Complex math: \"solve this equation\", \"calculate correlation\"",{"type":69,"tag":359,"props":375,"children":376},{},[377],{"type":75,"value":378},"Anything requiring Python runtime",{"type":69,"tag":93,"props":380,"children":382},{"id":381},"when-not-to-use",[383],{"type":75,"value":384},"When NOT to use",{"type":69,"tag":355,"props":386,"children":387},{},[388,393,398,403],{"type":69,"tag":359,"props":389,"children":390},{},[391],{"type":75,"value":392},"For simple shell commands (use local bash)",{"type":69,"tag":359,"props":394,"children":395},{},[396],{"type":75,"value":397},"For web searches (use foundry-web-search)",{"type":69,"tag":359,"props":399,"children":400},{},[401],{"type":75,"value":402},"For document Q&A (use foundry-knowledge)",{"type":69,"tag":359,"props":404,"children":405},{},[406],{"type":75,"value":407},"For remembering preferences (use foundry-memory)",{"type":69,"tag":409,"props":410,"children":411},"style",{},[412],{"type":75,"value":413},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":415,"total":594},[416,435,454,473,488,503,516,531,542,556,569,582],{"slug":417,"name":417,"fn":418,"description":419,"org":420,"tags":421,"stars":432,"repoUrl":433,"updatedAt":434},"azure-arg-external-evaluation-policy-author","author and test Azure Resource Graph policies","Use when the user wants to author, design, or test an Azure Policy that queries Azure Resource Graph (ARG) at request-time — i.e. a policy whose deny\u002Faudit decision depends on data from elsewhere in the subscription (sibling\u002Fparent resource state, RG-wide invariants, multi-hop relationships, etc.). Formally called Azure Policy External Evaluation; sometimes referred to colloquially as \"Invoke\". Drives an iterative KQL co-design loop against the user's real subscription via `az graph query`, then emits a policy definition, assignment, `.http` test flow, and an `EXPLANATION.md` companion. Read-only; never provisions anything.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[422,423,426,429],{"name":11,"slug":8,"type":14},{"name":424,"slug":425,"type":14},"Compliance","compliance",{"name":427,"slug":428,"type":14},"Governance","governance",{"name":430,"slug":431,"type":14},"Policy","policy",1686,"https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-policy","2026-07-12T08:17:48.378432",{"slug":436,"name":436,"fn":437,"description":438,"org":439,"tags":440,"stars":451,"repoUrl":452,"updatedAt":453},"azure-blueprints-migration","migrate Azure Blueprints to Template Specs","Use when a user needs to migrate off Azure Blueprints (definitions and\u002For assignments) to Template Specs and Deployment Stacks before the January 31, 2027 retirement. Covers inventory, export, conversion to Bicep, policy decoupling, Template Spec publishing, Deployment Stack deployment with deny-settings, validation, and cutover.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[441,442,445,448],{"name":11,"slug":8,"type":14},{"name":443,"slug":444,"type":14},"Deployment","deployment",{"name":446,"slug":447,"type":14},"Infrastructure as Code","infrastructure-as-code",{"name":449,"slug":450,"type":14},"Migration","migration",260,"https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-blueprints","2026-07-12T08:17:49.646405",{"slug":455,"name":455,"fn":456,"description":457,"org":458,"tags":459,"stars":470,"repoUrl":471,"updatedAt":472},"apiview-feedback-resolution","resolve APIView feedback on Azure SDKs","Analyze and resolve APIView review feedback on Azure SDK PRs. **UTILITY SKILL**. USE FOR: APIView comments, API review feedback, SDK API surface changes. DO NOT USE FOR: general code review, non-APIView feedback. INVOKES: azure-sdk-mcp:azsdk_apiview_get_comments, azure-sdk-mcp:azsdk_typespec_customized_code_update.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[460,463,464,467],{"name":461,"slug":462,"type":14},"API Development","api-development",{"name":11,"slug":8,"type":14},{"name":465,"slug":466,"type":14},"Code Review","code-review",{"name":468,"slug":469,"type":14},"Documentation","documentation",133,"https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-sdk-tools","2026-07-12T08:17:43.350876",{"slug":474,"name":474,"fn":475,"description":476,"org":477,"tags":478,"stars":470,"repoUrl":471,"updatedAt":487},"azsdk-common-live-and-recorded-tests","deploy resources and run Azure SDK tests","Deploy test resources and run Azure SDK tests in live, record, or playback mode. WHEN: \"run live tests\", \"run recorded tests\", \"deploy test resources\", \"record tests\", \"run tests in record mode\", \"clean up test resources\", \"run tests against live resources\". DO NOT USE FOR: writing new tests, authoring Bicep templates, playback-only test runs without resource deployment. INVOKES: azure-sdk-mcp:azsdk_package_run_tests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[479,480,481,484],{"name":11,"slug":8,"type":14},{"name":443,"slug":444,"type":14},{"name":482,"slug":483,"type":14},"SDK","sdk",{"name":485,"slug":486,"type":14},"Testing","testing","2026-07-12T08:17:44.718943",{"slug":489,"name":489,"fn":490,"description":491,"org":492,"tags":493,"stars":470,"repoUrl":471,"updatedAt":502},"azsdk-common-prepare-release-plan","manage Azure SDK release plan work items","Create, get, update, abandon, and link SDK PRs to release plan work items for Azure SDK releases. **UTILITY SKILL**. USE FOR: \"create release plan\", \"get release plan\", \"update release plan\", \"update API spec in release plan\", \"update SDK details in release plan\", \"abandon release plan\", \"link SDK PR to plan\", \"namespace approval\", \"check release plan status\". DO NOT USE FOR: SDK code generation, pipeline troubleshooting, API review feedback. INVOKES: azure-sdk-mcp:azsdk_create_release_plan, azure-sdk-mcp:azsdk_get_release_plan, azure-sdk-mcp:azsdk_get_release_plan_for_spec_pr, azure-sdk-mcp:azsdk_update_release_plan, azure-sdk-mcp:azsdk_update_api_spec_pull_request_in_release_plan, azure-sdk-mcp:azsdk_update_sdk_details_in_release_plan, azure-sdk-mcp:azsdk_abandon_release_plan, azure-sdk-mcp:azsdk_link_sdk_pull_request_to_release_plan, azure-sdk-mcp:azsdk_link_namespace_approval_issue.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[494,495,498,501],{"name":11,"slug":8,"type":14},{"name":496,"slug":497,"type":14},"GitHub","github",{"name":499,"slug":500,"type":14},"Project Management","project-management",{"name":482,"slug":483,"type":14},"2026-07-12T08:17:38.345387",{"slug":504,"name":504,"fn":505,"description":506,"org":507,"tags":508,"stars":470,"repoUrl":471,"updatedAt":515},"azsdk-common-sdk-release","release Azure SDK packages","Check release readiness and trigger the release pipeline for Azure SDK packages. **UTILITY SKILL**. USE FOR: \"release SDK\", \"trigger release\", \"check release readiness\", \"release pipeline\", \"publish package\", \"ship SDK\". DO NOT USE FOR: SDK development, code generation, pipeline debugging, release plan creation. INVOKES: azure-sdk-mcp:azsdk_release_sdk.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[509,510,513,514],{"name":11,"slug":8,"type":14},{"name":511,"slug":512,"type":14},"CI\u002FCD","ci-cd",{"name":443,"slug":444,"type":14},{"name":482,"slug":483,"type":14},"2026-07-12T08:17:34.27607",{"slug":517,"name":517,"fn":518,"description":519,"org":520,"tags":521,"stars":470,"repoUrl":471,"updatedAt":530},"azure-typespec-author","author and modify Azure TypeSpec API specifications","Authors and modifies Azure TypeSpec (.tsp) API specifications. USE FOR: any TypeSpec\u002Ftsp change — api versions (add, bump, preview, stable, promote), resources, operations, models, properties, decorators, visibility, constraints, breaking changes, LRO, suppressions, operationId, spread model. Covers ARM resource-manager and data-plane services. DO NOT USE FOR: SDK generation, releasing SDK packages, or single MCP tool calls. INVOKES: azure-sdk-mcp:azsdk_typespec_generate_authoring_plan, azure-sdk-mcp:azsdk_run_typespec_validation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[522,523,524,527],{"name":461,"slug":462,"type":14},{"name":11,"slug":8,"type":14},{"name":525,"slug":526,"type":14},"OpenAPI","openapi",{"name":528,"slug":529,"type":14},"Technical Writing","technical-writing","2026-07-12T08:17:39.603232",{"slug":532,"name":532,"fn":533,"description":534,"org":535,"tags":536,"stars":470,"repoUrl":471,"updatedAt":541},"generate-sdk-locally","generate and test Azure SDKs locally","Generate, build, and test Azure SDKs locally from TypeSpec with automatic customization. WHEN: \"generate SDK locally\", \"build SDK\", \"run SDK tests\", \"run CI checks\", \"validate package\", \"run checks\", \"update changelog\", \"fix SDK build errors\", \"fix breaking changes\", \"resolve SDK generation errors\", \"customize TypeSpec\", \"rename SDK client\", \"rename SDK model\", \"hide operation from SDK\", \"fix analyzer errors\", \"resolve customization drift\", \"create subclient\", \"update metadata\", \"update version\". DO NOT USE FOR: publishing to package registries, CI pipeline configuration, API design review. INVOKES: azsdk_verify_setup, azsdk_package_generate_code, azsdk_package_build_code, azsdk_package_run_check, azsdk_package_run_tests, azsdk_customized_code_update, azsdk_package_update_changelog_content, azsdk_package_update_metadata, azsdk_package_update_version.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[537,538,539,540],{"name":11,"slug":8,"type":14},{"name":511,"slug":512,"type":14},{"name":482,"slug":483,"type":14},{"name":485,"slug":486,"type":14},"2026-07-12T08:17:37.08523",{"slug":543,"name":543,"fn":544,"description":545,"org":546,"tags":547,"stars":470,"repoUrl":471,"updatedAt":555},"markdown-token-optimizer","optimize markdown files for token efficiency","Analyze markdown files for token efficiency and reduce context-window bloat. **UTILITY SKILL**. DO NOT USE FOR: code optimization, general file editing, non-markdown files. TRIGGERS: optimize markdown, reduce tokens, token count, token bloat, too many tokens, make concise, shrink file, file too large, optimize for AI, token efficiency, verbose markdown, reduce file size. INVOKES: waza CLI.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[548,551,554],{"name":549,"slug":550,"type":14},"LLM","llm",{"name":552,"slug":553,"type":14},"Performance","performance",{"name":528,"slug":529,"type":14},"2026-07-12T08:17:42.080413",{"slug":557,"name":557,"fn":558,"description":559,"org":560,"tags":561,"stars":470,"repoUrl":471,"updatedAt":568},"pipeline-troubleshooting","troubleshoot Azure SDK CI pipelines","Diagnose and resolve failures in Azure SDK CI and generation pipelines. **UTILITY SKILL**. USE FOR: \"pipeline failed\", \"build failure\", \"CI check failing\", \"SDK generation error\", \"reproduce pipeline locally\", \"debug SDK pipeline\". DO NOT USE FOR: local build issues without pipeline context, API design review, SDK publishing. INVOKES: azure-sdk-mcp:azsdk_analyze_pipeline, azure-sdk-mcp:azsdk_package_build_code, azure-sdk-mcp:azsdk_package_run_check.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[562,563,564,567],{"name":11,"slug":8,"type":14},{"name":511,"slug":512,"type":14},{"name":565,"slug":566,"type":14},"Debugging","debugging",{"name":482,"slug":483,"type":14},"2026-07-12T08:17:40.821512",{"slug":570,"name":570,"fn":571,"description":572,"org":573,"tags":574,"stars":470,"repoUrl":471,"updatedAt":581},"sensei","improve skill frontmatter compliance","**WORKFLOW SKILL** — Iteratively improve skill frontmatter compliance using the Ralph loop pattern. WHEN: \"run sensei\", \"sensei help\", \"improve skill\", \"fix frontmatter\", \"skill compliance\", \"frontmatter audit\", \"score skill\", \"check skill tokens\". INVOKES: token counting tools, test runners, git commands. FOR SINGLE OPERATIONS: use token CLI directly for counts\u002Fchecks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[575,576,577,580],{"name":11,"slug":8,"type":14},{"name":424,"slug":425,"type":14},{"name":578,"slug":579,"type":14},"Process Optimization","process-optimization",{"name":528,"slug":529,"type":14},"2026-07-12T08:17:32.970921",{"slug":583,"name":583,"fn":584,"description":585,"org":586,"tags":587,"stars":470,"repoUrl":471,"updatedAt":593},"skill-authoring","author agent skills for agentskills.io","Write Agent Skills that comply with the agentskills.io specification. WHEN: \"create a skill\", \"new skill\", \"write a skill\", \"skill template\", \"skill structure\", \"review skill\", \"skill PR\", \"skill compliance\", \"SKILL.md format\", \"skill frontmatter\", \"skill best practices\". DO NOT USE FOR: improving existing skills (use sensei), general documentation. INVOKES: waza CLI.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[588,589,592],{"name":468,"slug":469,"type":14},{"name":590,"slug":591,"type":14},"Plugin Development","plugin-development",{"name":528,"slug":529,"type":14},"2026-07-12T08:17:35.873862",109,{"items":596,"total":688},[597,613,623,632,644,656,671],{"slug":598,"name":598,"fn":599,"description":600,"org":601,"tags":602,"stars":30,"repoUrl":31,"updatedAt":612},"agt-governance","enforce behavioral governance for agents","Behavioral governance for OpenClaw agents via AGT — tool-level policy, inter-agent trust, audit logging.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[603,606,609,610,611],{"name":604,"slug":605,"type":14},"Agents","agents",{"name":607,"slug":608,"type":14},"Audit","audit",{"name":11,"slug":8,"type":14},{"name":427,"slug":428,"type":14},{"name":430,"slug":431,"type":14},"2026-07-12T08:18:34.446985",{"slug":614,"name":614,"fn":615,"description":616,"org":617,"tags":618,"stars":30,"repoUrl":31,"updatedAt":622},"foundry-agents","inspect and invoke Foundry prompt agents","Query and inspect Foundry prompt agents and invoke Foundry tools via the Responses API. OpenClaw is the orchestrator — Foundry provides managed AI services.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[619,620,621],{"name":604,"slug":605,"type":14},{"name":461,"slug":462,"type":14},{"name":11,"slug":8,"type":14},"2026-07-12T08:18:31.798351",{"slug":4,"name":4,"fn":5,"description":6,"org":624,"tags":625,"stars":30,"repoUrl":31,"updatedAt":32},{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[626,627,628,629,630,631],{"name":11,"slug":8,"type":14},{"name":28,"slug":29,"type":14},{"name":22,"slug":23,"type":14},{"name":16,"slug":17,"type":14},{"name":19,"slug":20,"type":14},{"name":25,"slug":26,"type":14},{"slug":633,"name":633,"fn":634,"description":635,"org":636,"tags":637,"stars":30,"repoUrl":31,"updatedAt":643},"foundry-conversations","manage persistent conversations via Foundry","Manage persistent conversations via Foundry Conversations API. Create conversations, add messages, and maintain history across sessions.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[638,639,640],{"name":604,"slug":605,"type":14},{"name":11,"slug":8,"type":14},{"name":641,"slug":642,"type":14},"Memory","memory","2026-07-12T08:18:38.407887",{"slug":645,"name":645,"fn":646,"description":647,"org":648,"tags":649,"stars":30,"repoUrl":31,"updatedAt":655},"foundry-deployments","query Foundry model deployments and infrastructure","Query model deployments, connections, and indexes in the Foundry project. Discover available models and infrastructure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[650,651,654],{"name":11,"slug":8,"type":14},{"name":652,"slug":653,"type":14},"Infrastructure","infrastructure",{"name":549,"slug":550,"type":14},"2026-07-12T08:18:39.662409",{"slug":657,"name":657,"fn":658,"description":659,"org":660,"tags":661,"stars":30,"repoUrl":31,"updatedAt":670},"foundry-evaluations","evaluate agent quality with Foundry Evals","Evaluate agent quality using Foundry OpenAI Evals API. Create evaluations, run them against models, and analyze results.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[662,663,666,667],{"name":11,"slug":8,"type":14},{"name":664,"slug":665,"type":14},"Evals","evals",{"name":549,"slug":550,"type":14},{"name":668,"slug":669,"type":14},"OpenAI","openai","2026-07-12T08:18:40.889909",{"slug":672,"name":672,"fn":673,"description":674,"org":675,"tags":676,"stars":30,"repoUrl":31,"updatedAt":687},"foundry-knowledge","retrieve knowledge via Foundry RAG","Knowledge retrieval (RAG) via Foundry file_search and azure_ai_search tools. Agentic retrieval with citations — uses Responses API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[677,678,681,684],{"name":11,"slug":8,"type":14},{"name":679,"slug":680,"type":14},"Knowledge Management","knowledge-management",{"name":682,"slug":683,"type":14},"Research","research",{"name":685,"slug":686,"type":14},"Search","search","2026-07-12T08:18:35.894301",11]