[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-azure-dynatraceobservability":3,"mdc-ysjvne-key":39,"related-repo-azure-dynatraceobservability":335,"related-org-azure-dynatraceobservability":450},{"slug":4,"name":5,"fn":6,"description":7,"org":8,"tags":13,"stars":28,"repoUrl":29,"updatedAt":30,"license":31,"forks":32,"topics":33,"repo":34,"sourceUrl":37,"mdContent":38},"dynatraceobservability","dynatrace_observability","query Dynatrace observability data","Query Dynatrace observability data including logs, metrics, problems, and vulnerabilities using DQL",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},"azure","Azure (Microsoft)","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fazure.png","Azure",[14,18,19,22,25],{"name":15,"slug":16,"type":17},"Observability","observability","tag",{"name":12,"slug":9,"type":17},{"name":20,"slug":21,"type":17},"Logs","logs",{"name":23,"slug":24,"type":17},"Monitoring","monitoring",{"name":26,"slug":27,"type":17},"Metrics","metrics",2,"https:\u002F\u002Fgithub.com\u002FAzure\u002Fsre-agent-plugins","2026-07-12T08:19:00.664087",null,5,[],{"repoUrl":29,"stars":28,"forks":32,"topics":35,"description":36},[],"Azure SRE Agent Plugins","https:\u002F\u002Fgithub.com\u002FAzure\u002Fsre-agent-plugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fdynatrace\u002Fskills\u002Fdynatrace_observability","---\nname: dynatrace_observability\ndescription: Query Dynatrace observability data including logs, metrics, problems, and vulnerabilities using DQL\n---\n\n# Dynatrace Observability Skill\n\nYou have access to the Dynatrace MCP server tools for querying observability data from Dynatrace environments.\n\n## Available Tools\n\n| Tool | Purpose |\n|------|---------|\n| **Create DQL query** | Generate DQL queries from natural language descriptions |\n| **Explain DQL query** | Get plain English explanations of existing DQL queries |\n| **Ask Dynatrace** | Ask general questions about Dynatrace workflows, alerts, and configuration |\n| **Run DQL query** | Execute DQL queries and return results (up to 1000 records) |\n| **Query problems** | List active or closed Davis Problems with filtering |\n| **Get problem by ID** | Get detailed problem information including root cause |\n| **Get vulnerabilities** | List open security vulnerabilities by risk level |\n| **Get K8s cluster events** | Get Kubernetes events for cluster troubleshooting |\n| **Timeseries forecast** | Predict future metric values using statistical models |\n\n## Workflow\n\n1. **Understand the request** — Determine what observability data the user needs\n2. **Use the right tool** — Select the appropriate Dynatrace tool for the task\n3. **Query with DQL** — Use \"Create DQL query\" for natural language to DQL conversion, then \"Run DQL query\" to execute\n4. **Investigate problems** — Use \"Query problems\" to list issues, then \"Get problem by ID\" for details\n5. **Analyze results** — Summarize findings with actionable recommendations\n\n## Best Practices\n\n- Start with smaller timeframes (last 1h or 12h) to optimize query performance\n- Use \"Create DQL query\" to generate queries from natural language before running them\n- When investigating problems, correlate with related logs and events using DQL\n- For security reviews, check vulnerabilities by risk level (CRITICAL, HIGH, MEDIUM, LOW)\n- Always explain the data returned and suggest next steps\n",{"data":40,"body":41},{"name":5,"description":7},{"type":42,"children":43},"root",[44,53,59,66,239,245,300,306],{"type":45,"tag":46,"props":47,"children":49},"element","h1",{"id":48},"dynatrace-observability-skill",[50],{"type":51,"value":52},"text","Dynatrace Observability Skill",{"type":45,"tag":54,"props":55,"children":56},"p",{},[57],{"type":51,"value":58},"You have access to the Dynatrace MCP server tools for querying observability data from Dynatrace environments.",{"type":45,"tag":60,"props":61,"children":63},"h2",{"id":62},"available-tools",[64],{"type":51,"value":65},"Available Tools",{"type":45,"tag":67,"props":68,"children":69},"table",{},[70,89],{"type":45,"tag":71,"props":72,"children":73},"thead",{},[74],{"type":45,"tag":75,"props":76,"children":77},"tr",{},[78,84],{"type":45,"tag":79,"props":80,"children":81},"th",{},[82],{"type":51,"value":83},"Tool",{"type":45,"tag":79,"props":85,"children":86},{},[87],{"type":51,"value":88},"Purpose",{"type":45,"tag":90,"props":91,"children":92},"tbody",{},[93,111,127,143,159,175,191,207,223],{"type":45,"tag":75,"props":94,"children":95},{},[96,106],{"type":45,"tag":97,"props":98,"children":99},"td",{},[100],{"type":45,"tag":101,"props":102,"children":103},"strong",{},[104],{"type":51,"value":105},"Create DQL query",{"type":45,"tag":97,"props":107,"children":108},{},[109],{"type":51,"value":110},"Generate DQL queries from natural language descriptions",{"type":45,"tag":75,"props":112,"children":113},{},[114,122],{"type":45,"tag":97,"props":115,"children":116},{},[117],{"type":45,"tag":101,"props":118,"children":119},{},[120],{"type":51,"value":121},"Explain DQL query",{"type":45,"tag":97,"props":123,"children":124},{},[125],{"type":51,"value":126},"Get plain English explanations of existing DQL queries",{"type":45,"tag":75,"props":128,"children":129},{},[130,138],{"type":45,"tag":97,"props":131,"children":132},{},[133],{"type":45,"tag":101,"props":134,"children":135},{},[136],{"type":51,"value":137},"Ask Dynatrace",{"type":45,"tag":97,"props":139,"children":140},{},[141],{"type":51,"value":142},"Ask general questions about Dynatrace workflows, alerts, and configuration",{"type":45,"tag":75,"props":144,"children":145},{},[146,154],{"type":45,"tag":97,"props":147,"children":148},{},[149],{"type":45,"tag":101,"props":150,"children":151},{},[152],{"type":51,"value":153},"Run DQL query",{"type":45,"tag":97,"props":155,"children":156},{},[157],{"type":51,"value":158},"Execute DQL queries and return results (up to 1000 records)",{"type":45,"tag":75,"props":160,"children":161},{},[162,170],{"type":45,"tag":97,"props":163,"children":164},{},[165],{"type":45,"tag":101,"props":166,"children":167},{},[168],{"type":51,"value":169},"Query problems",{"type":45,"tag":97,"props":171,"children":172},{},[173],{"type":51,"value":174},"List active or closed Davis Problems with filtering",{"type":45,"tag":75,"props":176,"children":177},{},[178,186],{"type":45,"tag":97,"props":179,"children":180},{},[181],{"type":45,"tag":101,"props":182,"children":183},{},[184],{"type":51,"value":185},"Get problem by ID",{"type":45,"tag":97,"props":187,"children":188},{},[189],{"type":51,"value":190},"Get detailed problem information including root cause",{"type":45,"tag":75,"props":192,"children":193},{},[194,202],{"type":45,"tag":97,"props":195,"children":196},{},[197],{"type":45,"tag":101,"props":198,"children":199},{},[200],{"type":51,"value":201},"Get vulnerabilities",{"type":45,"tag":97,"props":203,"children":204},{},[205],{"type":51,"value":206},"List open security vulnerabilities by risk level",{"type":45,"tag":75,"props":208,"children":209},{},[210,218],{"type":45,"tag":97,"props":211,"children":212},{},[213],{"type":45,"tag":101,"props":214,"children":215},{},[216],{"type":51,"value":217},"Get K8s cluster events",{"type":45,"tag":97,"props":219,"children":220},{},[221],{"type":51,"value":222},"Get Kubernetes events for cluster troubleshooting",{"type":45,"tag":75,"props":224,"children":225},{},[226,234],{"type":45,"tag":97,"props":227,"children":228},{},[229],{"type":45,"tag":101,"props":230,"children":231},{},[232],{"type":51,"value":233},"Timeseries forecast",{"type":45,"tag":97,"props":235,"children":236},{},[237],{"type":51,"value":238},"Predict future metric values using statistical models",{"type":45,"tag":60,"props":240,"children":242},{"id":241},"workflow",[243],{"type":51,"value":244},"Workflow",{"type":45,"tag":246,"props":247,"children":248},"ol",{},[249,260,270,280,290],{"type":45,"tag":250,"props":251,"children":252},"li",{},[253,258],{"type":45,"tag":101,"props":254,"children":255},{},[256],{"type":51,"value":257},"Understand the request",{"type":51,"value":259}," — Determine what observability data the user needs",{"type":45,"tag":250,"props":261,"children":262},{},[263,268],{"type":45,"tag":101,"props":264,"children":265},{},[266],{"type":51,"value":267},"Use the right tool",{"type":51,"value":269}," — Select the appropriate Dynatrace tool for the task",{"type":45,"tag":250,"props":271,"children":272},{},[273,278],{"type":45,"tag":101,"props":274,"children":275},{},[276],{"type":51,"value":277},"Query with DQL",{"type":51,"value":279}," — Use \"Create DQL query\" for natural language to DQL conversion, then \"Run DQL query\" to execute",{"type":45,"tag":250,"props":281,"children":282},{},[283,288],{"type":45,"tag":101,"props":284,"children":285},{},[286],{"type":51,"value":287},"Investigate problems",{"type":51,"value":289}," — Use \"Query problems\" to list issues, then \"Get problem by ID\" for details",{"type":45,"tag":250,"props":291,"children":292},{},[293,298],{"type":45,"tag":101,"props":294,"children":295},{},[296],{"type":51,"value":297},"Analyze results",{"type":51,"value":299}," — Summarize findings with actionable recommendations",{"type":45,"tag":60,"props":301,"children":303},{"id":302},"best-practices",[304],{"type":51,"value":305},"Best Practices",{"type":45,"tag":307,"props":308,"children":309},"ul",{},[310,315,320,325,330],{"type":45,"tag":250,"props":311,"children":312},{},[313],{"type":51,"value":314},"Start with smaller timeframes (last 1h or 12h) to optimize query performance",{"type":45,"tag":250,"props":316,"children":317},{},[318],{"type":51,"value":319},"Use \"Create DQL query\" to generate queries from natural language before running them",{"type":45,"tag":250,"props":321,"children":322},{},[323],{"type":51,"value":324},"When investigating problems, correlate with related logs and events using DQL",{"type":45,"tag":250,"props":326,"children":327},{},[328],{"type":51,"value":329},"For security reviews, check vulnerabilities by risk level (CRITICAL, HIGH, MEDIUM, LOW)",{"type":45,"tag":250,"props":331,"children":332},{},[333],{"type":51,"value":334},"Always explain the data returned and suggest next steps",{"items":336,"total":449},[337,357,378,395,410,418,431],{"slug":338,"name":339,"fn":340,"description":341,"org":342,"tags":343,"stars":28,"repoUrl":29,"updatedAt":356},"atlassianrovo","atlassian_rovo","manage Atlassian Jira and Confluence tasks","Expertise in Atlassian Cloud products including Jira, Confluence, Compass, and Jira Service Management. Use for searching issues with JQL, creating and updating pages, managing service components, investigating ops alerts, and navigating Atlassian workspaces via the Rovo MCP server.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[344,347,350,353],{"name":345,"slug":346,"type":17},"Atlassian","atlassian",{"name":348,"slug":349,"type":17},"Confluence","confluence",{"name":351,"slug":352,"type":17},"Jira","jira",{"name":354,"slug":355,"type":17},"Project Management","project-management","2026-07-12T08:20:33.735452",{"slug":358,"name":359,"fn":360,"description":361,"org":362,"tags":363,"stars":28,"repoUrl":29,"updatedAt":377},"awscloudoperations","aws_cloud_operations","manage and troubleshoot AWS cloud operations","Expertise in AWS cloud operations including infrastructure management, troubleshooting, documentation search, API execution, and operational procedures. Use for querying AWS resources, investigating incidents, following SOPs, searching documentation, checking service availability, and executing AWS API calls via the AWS MCP Server.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[364,367,370,373,374],{"name":365,"slug":366,"type":17},"AWS","aws",{"name":368,"slug":369,"type":17},"Debugging","debugging",{"name":371,"slug":372,"type":17},"Infrastructure","infrastructure",{"name":23,"slug":24,"type":17},{"name":375,"slug":376,"type":17},"Operations","operations","2026-07-12T08:20:14.702793",{"slug":379,"name":380,"fn":381,"description":382,"org":383,"tags":384,"stars":28,"repoUrl":29,"updatedAt":394},"azuremanagedgrafana","azure_managed_grafana","monitor Azure infrastructure with Grafana","Expertise in Azure Managed Grafana including dashboards, Azure Monitor metrics, Application Insights failures and traces, Azure Data Explorer (Kusto) queries, SQL Server queries, and Azure Resource Graph. Use for querying observability data, searching dashboards, investigating failures, analyzing GenAI agent telemetry, and running KQL or SQL queries via the AMG-MCP endpoint.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[385,388,389,392,393],{"name":386,"slug":387,"type":17},"Application Insights","application-insights",{"name":12,"slug":9,"type":17},{"name":390,"slug":391,"type":17},"Dashboards","dashboards",{"name":23,"slug":24,"type":17},{"name":15,"slug":16,"type":17},"2026-07-12T08:19:37.659849",{"slug":396,"name":397,"fn":398,"description":399,"org":400,"tags":401,"stars":28,"repoUrl":29,"updatedAt":409},"datadogobservability","datadog_observability","query Datadog telemetry and investigate behavior","Expertise in Datadog's observability platform including logs, metrics, APM, monitors, incidents, dashboards, hosts, and services. Use for searching logs, querying metrics, investigating incidents, analyzing traces, inspecting monitors, and navigating Datadog data via the Datadog MCP server.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[402,405,406,407,408],{"name":403,"slug":404,"type":17},"Datadog","datadog",{"name":20,"slug":21,"type":17},{"name":26,"slug":27,"type":17},{"name":23,"slug":24,"type":17},{"name":15,"slug":16,"type":17},"2026-07-12T08:20:41.400308",{"slug":4,"name":5,"fn":6,"description":7,"org":411,"tags":412,"stars":28,"repoUrl":29,"updatedAt":30},{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[413,414,415,416,417],{"name":12,"slug":9,"type":17},{"name":20,"slug":21,"type":17},{"name":26,"slug":27,"type":17},{"name":23,"slug":24,"type":17},{"name":15,"slug":16,"type":17},{"slug":419,"name":419,"fn":420,"description":421,"org":422,"tags":423,"stars":28,"repoUrl":29,"updatedAt":430},"elasticsearch","query and analyze Elasticsearch data","Query and analyze Elasticsearch data including logs, indices, mappings, and cluster health using ES|QL",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[424,427,428,429],{"name":425,"slug":426,"type":17},"Analytics","analytics",{"name":12,"slug":9,"type":17},{"name":20,"slug":21,"type":17},{"name":15,"slug":16,"type":17},"2026-07-12T08:20:22.325954",{"slug":432,"name":433,"fn":434,"description":435,"org":436,"tags":437,"stars":28,"repoUrl":29,"updatedAt":448},"pagerduty","pager_duty","manage incidents with PagerDuty","Load this skill for expertise in PagerDuty's incident management platform including incidents, on-call schedules, services, teams, escalation policies, event orchestration, incident workflows, and status pages. Use for managing incidents, checking on-call status, investigating alerts, escalating issues, and navigating PagerDuty data via the PagerDuty MCP server.",{"slug":9,"name":10,"logoUrl":11,"githubOrg":12},[438,441,444,445],{"name":439,"slug":440,"type":17},"Alerting","alerting",{"name":442,"slug":443,"type":17},"Incident Response","incident-response",{"name":23,"slug":24,"type":17},{"name":446,"slug":447,"type":17},"SRE","sre","2026-07-12T08:20:44.017673",7,{"items":451,"total":626},[452,471,490,509,524,537,550,565,576,590,601,614],{"slug":453,"name":453,"fn":454,"description":455,"org":456,"tags":457,"stars":468,"repoUrl":469,"updatedAt":470},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[458,459,462,465],{"name":12,"slug":9,"type":17},{"name":460,"slug":461,"type":17},"Compliance","compliance",{"name":463,"slug":464,"type":17},"Governance","governance",{"name":466,"slug":467,"type":17},"Policy","policy",1686,"https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-policy","2026-07-12T08:17:48.378432",{"slug":472,"name":472,"fn":473,"description":474,"org":475,"tags":476,"stars":487,"repoUrl":488,"updatedAt":489},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[477,478,481,484],{"name":12,"slug":9,"type":17},{"name":479,"slug":480,"type":17},"Deployment","deployment",{"name":482,"slug":483,"type":17},"Infrastructure as Code","infrastructure-as-code",{"name":485,"slug":486,"type":17},"Migration","migration",260,"https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-blueprints","2026-07-12T08:17:49.646405",{"slug":491,"name":491,"fn":492,"description":493,"org":494,"tags":495,"stars":506,"repoUrl":507,"updatedAt":508},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[496,499,500,503],{"name":497,"slug":498,"type":17},"API Development","api-development",{"name":12,"slug":9,"type":17},{"name":501,"slug":502,"type":17},"Code Review","code-review",{"name":504,"slug":505,"type":17},"Documentation","documentation",133,"https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-sdk-tools","2026-07-12T08:17:43.350876",{"slug":510,"name":510,"fn":511,"description":512,"org":513,"tags":514,"stars":506,"repoUrl":507,"updatedAt":523},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[515,516,517,520],{"name":12,"slug":9,"type":17},{"name":479,"slug":480,"type":17},{"name":518,"slug":519,"type":17},"SDK","sdk",{"name":521,"slug":522,"type":17},"Testing","testing","2026-07-12T08:17:44.718943",{"slug":525,"name":525,"fn":526,"description":527,"org":528,"tags":529,"stars":506,"repoUrl":507,"updatedAt":536},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[530,531,534,535],{"name":12,"slug":9,"type":17},{"name":532,"slug":533,"type":17},"GitHub","github",{"name":354,"slug":355,"type":17},{"name":518,"slug":519,"type":17},"2026-07-12T08:17:38.345387",{"slug":538,"name":538,"fn":539,"description":540,"org":541,"tags":542,"stars":506,"repoUrl":507,"updatedAt":549},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[543,544,547,548],{"name":12,"slug":9,"type":17},{"name":545,"slug":546,"type":17},"CI\u002FCD","ci-cd",{"name":479,"slug":480,"type":17},{"name":518,"slug":519,"type":17},"2026-07-12T08:17:34.27607",{"slug":551,"name":551,"fn":552,"description":553,"org":554,"tags":555,"stars":506,"repoUrl":507,"updatedAt":564},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[556,557,558,561],{"name":497,"slug":498,"type":17},{"name":12,"slug":9,"type":17},{"name":559,"slug":560,"type":17},"OpenAPI","openapi",{"name":562,"slug":563,"type":17},"Technical Writing","technical-writing","2026-07-12T08:17:39.603232",{"slug":566,"name":566,"fn":567,"description":568,"org":569,"tags":570,"stars":506,"repoUrl":507,"updatedAt":575},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[571,572,573,574],{"name":12,"slug":9,"type":17},{"name":545,"slug":546,"type":17},{"name":518,"slug":519,"type":17},{"name":521,"slug":522,"type":17},"2026-07-12T08:17:37.08523",{"slug":577,"name":577,"fn":578,"description":579,"org":580,"tags":581,"stars":506,"repoUrl":507,"updatedAt":589},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[582,585,588],{"name":583,"slug":584,"type":17},"LLM","llm",{"name":586,"slug":587,"type":17},"Performance","performance",{"name":562,"slug":563,"type":17},"2026-07-12T08:17:42.080413",{"slug":591,"name":591,"fn":592,"description":593,"org":594,"tags":595,"stars":506,"repoUrl":507,"updatedAt":600},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[596,597,598,599],{"name":12,"slug":9,"type":17},{"name":545,"slug":546,"type":17},{"name":368,"slug":369,"type":17},{"name":518,"slug":519,"type":17},"2026-07-12T08:17:40.821512",{"slug":602,"name":602,"fn":603,"description":604,"org":605,"tags":606,"stars":506,"repoUrl":507,"updatedAt":613},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[607,608,609,612],{"name":12,"slug":9,"type":17},{"name":460,"slug":461,"type":17},{"name":610,"slug":611,"type":17},"Process Optimization","process-optimization",{"name":562,"slug":563,"type":17},"2026-07-12T08:17:32.970921",{"slug":615,"name":615,"fn":616,"description":617,"org":618,"tags":619,"stars":506,"repoUrl":507,"updatedAt":625},"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":9,"name":10,"logoUrl":11,"githubOrg":12},[620,621,624],{"name":504,"slug":505,"type":17},{"name":622,"slug":623,"type":17},"Plugin Development","plugin-development",{"name":562,"slug":563,"type":17},"2026-07-12T08:17:35.873862",109]