feat(skills): add Agent Skill Stack (#2350)

Co-authored-by: neilchen2000-pixel <283394672+neilchen2000-pixel@users.noreply.github.com>

docs/README.skills.md

@@ -35,6 +35,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
 | [adobe-illustrator-scripting](../skills/adobe-illustrator-scripting/SKILL.md)<br />`gh skills install github/awesome-copilot adobe-illustrator-scripting` | 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. | `references/object-model-quick-reference.md`<br />`scripts/batch-export-png.jsx`<br />`scripts/create-color-grid.jsx`<br />`scripts/find-replace-text.jsx` |
 | [agent-governance](../skills/agent-governance/SKILL.md)<br />`gh skills install github/awesome-copilot agent-governance` | Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when:<br />- Building AI agents that call external tools (APIs, databases, file systems)<br />- Implementing policy-based access controls for agent tool usage<br />- Adding semantic intent classification to detect dangerous prompts<br />- Creating trust scoring systems for multi-agent workflows<br />- Building audit trails for agent actions and decisions<br />- Enforcing rate limits, content filters, or tool restrictions on agents<br />- Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen) | None |
 | [agent-owasp-compliance](../skills/agent-owasp-compliance/SKILL.md)<br />`gh skills install github/awesome-copilot agent-owasp-compliance` | Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks.<br />Use this skill when:<br />- Evaluating an agent system's security posture before production deployment<br />- Running a compliance check against OWASP ASI 2026 standards<br />- Mapping existing security controls to the 10 agentic risks<br />- Generating a compliance report for security review or audit<br />- Comparing agent framework security features against the standard<br />- Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit" | None |
+| [agent-skill-stack](../skills/agent-skill-stack/SKILL.md)<br />`gh skills install github/awesome-copilot agent-skill-stack` | Find, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for a multi-step workflow, asks which Skills fit a project, needs an installed-Skill audit or conflict check, has low Skill recall, wants indirect helpers such as humanizers or compliance checks, or wants a project-specific Skill Stack with controlled installation. Search local Skills, registries, GitHub, and OpenCLI; compare adoption, verified fit, safety, and overlap. Do not use for locating one known or common Skill; use the generic find-skills workflow. | `agents`<br />`references/discovery-ranking.md`<br />`references/local-index-and-profiles.md`<br />`references/security-installation.md`<br />`references/workflow-model.md`<br />`scripts/inventory_skills.py`<br />`scripts/project_profile.py`<br />`scripts/render_stack_card.py`<br />`scripts/skill_index.py`<br />`scripts/stage_install.py` |
 | [agent-supply-chain](../skills/agent-supply-chain/SKILL.md)<br />`gh skills install github/awesome-copilot agent-supply-chain` | Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when:<br />- Generating SHA-256 integrity manifests for agent plugins or tool packages<br />- Verifying that installed plugins match their published manifests<br />- Detecting tampered, modified, or untracked files in agent tool directories<br />- Auditing dependency pinning and version policies for agent components<br />- Building provenance chains for agent plugin promotion (dev → staging → production)<br />- Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin" | None |
 | [agentic-eval](../skills/agentic-eval/SKILL.md)<br />`gh skills install github/awesome-copilot agentic-eval` | Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when:<br />- Implementing self-critique and reflection loops<br />- Building evaluator-optimizer pipelines for quality-critical generation<br />- Creating test-driven code refinement workflows<br />- Designing rubric-based or LLM-as-judge evaluation systems<br />- Adding iterative improvement to agent outputs (code, reports, analysis)<br />- Measuring and improving agent response quality | None |
 | [ai-prompt-engineering-safety-review](../skills/ai-prompt-engineering-safety-review/SKILL.md)<br />`gh skills install github/awesome-copilot ai-prompt-engineering-safety-review` | Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content. | None |