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Analyzes markdown files for token efficiency. 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
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "markdown-token-optimizer" 技能： 1. 下载 https://raw.githubusercontent.com/microsoft/GitHub-Copilot-for-Azure/main/.github/skills/markdown-token-optimizer/SKILL.md 2. 保存为 ~/.claude/skills/markdown-token-optimizer/SKILL.md 3. 装好后重载技能，告诉我可以用了
This skill analyzes markdown files and suggests optimizations to reduce token consumption while maintaining clarity.
See ANTI-PATTERNS.md for detection patterns and OPTIMIZATION-PATTERNS.md for techniques.
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
Query the integration-test storage account to find why a specific skill's tests are failing. Reads blob-stored test result files and surfaces error details. TRIGGERS: why is skill failing, skill test failures, debug skill tests, skill failing tests, analyze skill failures, why are tests failing for skill, skill test errors, investigate skill issues. DO NOT USE FOR: analyzing a GitHub Actions run report or comparing test runs across runs (use analyze-test-run).
Analyze a GitHub Actions integration test run and produce a skill invocation report with failure root-cause issues. TRIGGERS: analyze test run, skill invocation rate, test run report, compare test runs, skill invocation summary, test failure analysis, run report, test results, action run report
File a GitHub issue for local integration test failures. TRIGGERS: file test bug, report test failure, create bug for test, integration test failed, test failure issue, junit failure
Investigate a failing integration test from a GitHub issue. Downloads logs/artifacts, analyzes the failure, examines relevant skills, and suggests fixes. TRIGGERS: investigate integration test, debug integration test, failing integration test, test failure investigation, diagnose test failure, analyze test issue
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.