All 5 Python recipes and their markdown docs used a synchronous,
kwargs-based API that doesn't match the real github-copilot-sdk:
- client.start() -> await client.start() (all methods are async)
- create_session(model=...) -> create_session(SessionConfig(model=...))
- session.send(prompt=...) -> session.send(MessageOptions(prompt=...))
- session.wait_for_idle() -> session.send_and_wait() (wait_for_idle doesn't exist)
- event['type']/event['data']['content'] -> event.type/event.data.content
- All code wrapped in async def main() + asyncio.run(main())
Verified all imports resolve against github-copilot-sdk.
Add iterative RALPH-loop (Read, Act, Log, Persist, Halt) pattern
implementations for all four supported languages:
- C#/.NET: ralph-loop.cs with documentation
- Node.js/TypeScript: ralph-loop.ts with documentation
- Python: ralph_loop.py with documentation (async API)
- Go: ralph-loop.go with documentation
Each recipe demonstrates:
- Self-referential iteration where AI reviews its own output
- Completion promise detection to halt the loop
- Max iteration safety limits
- File persistence between iterations
Verified against real Copilot SDK APIs:
- Python: fully verified end-to-end with github-copilot-sdk
- Node.js: fully verified end-to-end with @github/copilot-sdk
- C#: compiles and runs successfully with GitHub.Copilot.SDK
- Go: compiles against github.com/github/copilot-sdk/go v0.1.23
Add an agent for AI-powered LinkedIn content creation, scheduling, and
analytics through Reepl (https://reepl.io). Enables creating posts,
carousels, and managing LinkedIn presence directly from GitHub Copilot.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Rename samples page to /learning-hub/cookbook/
- Remove Samples from top navigation bar
- Add Cookbook to learning hub sidebar under Hands-on section
- Add Cookbook card to learning hub index page
- Add redirect from /samples/ to /learning-hub/cookbook/
- Add breadcrumb navigation back to Learning Hub
Add tools for maximizing GitHub Copilot effectiveness through better
context management:
- Instructions: Guidelines for structuring code so Copilot understands it
- Agent: Context Architect - plans multi-file changes by mapping dependencies
- Prompts:
- context-map: Map all affected files before changes
- what-context-needed: Ask Copilot what files it needs
- refactor-plan: Create phased refactor plans with rollback steps
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add Astro Content Collection for learning-hub articles
- Move 5 fundamentals articles into website/src/content/learning-hub/
- Create ArticleLayout.astro for rendering markdown articles
- Create index page listing all articles in recommended reading order
- Create dynamic [slug].astro route for individual articles
- Add Learning Hub to main navigation and homepage cards
- Add article prose and index page CSS styles
- Update internal links to use website URLs
- Fix getResourceType() to match relative paths like hooks/<name>/README.md
and skills/<name>/SKILL.md using regex instead of string includes
- Extract hook events from hooks.json via parseHookMetadata() instead of
non-existent frontmatter.event field in plugin README generation
- Update AGENTS.md to describe hooks as folder-based (README.md + hooks.json)
instead of .hook.md files
- Update session-logger README to accurately reflect what scripts log
(remove references to sessionId, duration, prompt content)
- Introduced hooks to enable automated workflows triggered by specific events during GitHub Copilot sessions.
- Added documentation for hooks in AGENTS.md and README.md.
- Created a new directory structure for hooks, including README.md and hooks.json files.
- Implemented two example hooks: Session Auto-Commit and Session Logger.
- Developed scripts for logging session events and auto-committing changes.
- Enhanced validation and parsing for hook metadata.
- Updated build and validation scripts to accommodate new hooks functionality.
