AGENT SKILL

markdown-token-optimizer

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

使用场景文档处理
License 许可
MIT
最近更新
2026-11-13
Stars
★ 264
Forks
225

01 前言 Front Matter

name
markdown-token-optimizer
license
MIT
metadata
{ "author": "Microsoft", "version": "1.0.0" }
description
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

02 资源文件 2

03 SKILL.md 正文

Markdown Token Optimizer

This skill analyzes markdown files and suggests optimizations to reduce token consumption while maintaining clarity.

When to Use

  • Optimize markdown files for token efficiency
  • Reduce SKILL.md file size or check for bloat
  • Make documentation more concise for AI consumption

Workflow

  1. Count - Calculate tokens (~4 chars = 1 token), report totals
  2. Scan - Find patterns: emojis, verbosity, duplication, large blocks
  3. Suggest - Table with location, issue, fix, savings estimate
  4. Summary - Current/potential/savings with top recommendations

See ANTI-PATTERNS.md for detection patterns and OPTIMIZATION-PATTERNS.md for techniques.

Rules

  • Suggest only (no auto-modification)
  • Preserve clarity in all optimizations
  • SKILL.md target: <500 tokens, references: <1000 tokens

References

04 同仓库更多 Skills

microsoft
microsoft/GitHub-Copilot-for-Azure

azure-advisor-cost-optimization

Analyze Azure Advisor Cost/IdleResources findings and prevalidate deletion safety, including Service Groups. WHEN: "find unused Azure resources", "what resources am I paying for but no longer using", "idle-resource savings", "historical idle-resource savings", "are these idle resources safe to delete". Generic Cost, other subcategories, and cross-category requests use azure-advisor.

★ 264
microsoft
microsoft/GitHub-Copilot-for-Azure

foundry-iq

Foundry IQ knowledge bases. WHEN: make local or Blob documents searchable; create/diagnose KBs; triage unsupported connectors or multi-source KB creation/reconfiguration (even with classic-search terms); connect existing KB to agents (including multi-source KBs); create/reuse a Search service; retrieve from an existing knowledge base with citations; no brand words needed. Read its procedure before query/target questions. NOT: other KB providers, repository-file search, classic Azure AI Search index/query/app work with no Foundry IQ KB or connector request, generic agent creation.

Skill与智能体开发
★ 264
microsoft
microsoft/GitHub-Copilot-for-Azure

python-appservice-deploy

Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.

运维与部署
★ 264
microsoft
microsoft/GitHub-Copilot-for-Azure

preset

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).

运维与部署Skill与智能体开发
★ 264
microsoft
microsoft/GitHub-Copilot-for-Azure

customize

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

Skill与智能体开发
★ 264
microsoft
microsoft/GitHub-Copilot-for-Azure

capacity

Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.

★ 264