Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
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Updates Azure Verified Module (AVM) references in a Bicep file to their latest versions, applying only non-breaking changes and reporting the result as a table. Use when Bicep templates pin outdated AVM versions or before an infrastructure release.
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安装前可以查看交给 AI 代理的指令内容。
Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
Update Bicep file ${file} to use latest Azure Verified Module (AVM) versions. Limit progress updates to non-breaking changes. Don't output information other than the final output table and summary.
${file}avm/res/{service}/{resource} using #search tool#fetch tool to get latest version of each AVM module from MCR: https://mcr.microsoft.com/v2/bicep/avm/res/{service}/{resource}/tags/list#fetch tool to get docs from: https://github.com/Azure/bicep-registry-modules/tree/main/avm/res/{service}/{resource}#editFiles toolbicep lint and bicep build using #runCommands tool to ensure compliance.Always use tools #search, #searchResults,#fetch, #editFiles, #runCommands, #todos if available. Avoid writing code to perform tasks.
⚠️ PAUSE for approval if updates involve:
Only display results in table with icons:
| Module | Current | Latest | Status | Action | Docs |
|--------|---------|--------|--------|--------|------|
| avm/res/compute/vm | 0.1.0 | 0.2.0 | 🔄 | Updated | [📖](link) |
| avm/res/storage/account | 0.3.0 | 0.3.0 | ✅ | Current | [📖](link) |
### Summary of Updates
Describe updates made, any manual reviews needed or issues encountered.
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Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
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Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
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Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
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Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
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Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
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Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
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