mirror of
https://github.com/github/awesome-copilot.git
synced 2026-02-20 02:15:12 +00:00
refactor: migrate plugins to Claude Code spec format
- Move plugin manifests from .github/plugin/ to .claude-plugin/ - Convert items[] to Claude Code spec fields (agents, commands, skills) - Rename tags to keywords, drop display/featured/instructions from plugins - Delete all symlinks and materialized files from plugin directories - Add eng/materialize-plugins.mjs to copy source files into plugin dirs at publish time - Add .github/workflows/publish.yml for staged->main publishing - Update CI triggers to target staged branch - Update validation, creation, marketplace, and README generation scripts - Update CONTRIBUTING.md and AGENTS.md documentation - Include all new content from main (polyglot-test-agent, gem-browser-tester, fabric-lakehouse, fluentui-blazor, quasi-coder, transloadit-media-processing, make-repo-contribution hardening, website logo/gradient changes) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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@@ -7,7 +7,7 @@
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},
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"repository": "https://github.com/github/awesome-copilot",
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"license": "MIT",
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"tags": [
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"keywords": [
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"mcp",
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"m365-copilot",
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"declarative-agents",
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@@ -15,30 +15,12 @@
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"model-context-protocol",
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"adaptive-cards"
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],
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"display": {
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"show_badge": true
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},
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"items": [
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{
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"path": "prompts/mcp-create-declarative-agent.prompt.md",
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"kind": "prompt"
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},
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{
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"path": "prompts/mcp-create-adaptive-cards.prompt.md",
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"kind": "prompt"
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},
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{
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"path": "prompts/mcp-deploy-manage-agents.prompt.md",
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"kind": "prompt"
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},
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{
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"path": "instructions/mcp-m365-copilot.instructions.md",
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"kind": "instruction"
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},
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{
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"path": "agents/mcp-m365-agent-expert.agent.md",
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"kind": "agent",
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"usage": "recommended\n\nThis chat mode provides expert guidance for building MCP-based declarative agents for Microsoft 365 Copilot.\n\nThis chat mode is ideal for:\n- Creating new declarative agents with MCP integration\n- Designing Adaptive Cards for visual responses\n- Configuring OAuth 2.0 or SSO authentication\n- Setting up response semantics and data extraction\n- Troubleshooting deployment and governance issues\n- Learning MCP best practices for M365 Copilot\n\nTo get the best results, consider:\n- Using the instruction file to set context for all Copilot interactions\n- Using prompts to generate initial agent structure and configurations\n- Switching to the expert chat mode for detailed implementation help\n- Providing specific details about your MCP server, tools, and business scenario"
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}
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"agents": [
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"./agents/mcp-m365-agent-expert.md"
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],
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"commands": [
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"./commands/mcp-create-declarative-agent.md",
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"./commands/mcp-create-adaptive-cards.md",
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"./commands/mcp-deploy-manage-agents.md"
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]
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}
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