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docs: add Beads MCP extension tutorial #6792
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Add tutorial for the Beads MCP Server extension, a git-backed issue tracker designed for AI agent task management. The tutorial demonstrates: - Building an expense tracker app across 4 parallel sessions - Step 1: Planning tasks with dependencies - Steps 2 & 3: Frontend and backend work in parallel - Step 4: Polling for blocked tasks, then integrating Key features shown: - Parallel coordination across multiple goose instances - Automatic dependency unblocking - Polling/waiting for blockers to resolve - Shared task state without merge conflicts
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Pull request overview
This PR adds a comprehensive tutorial for the Beads MCP Server extension, which enables git-backed issue tracking designed for AI agent task management. The tutorial demonstrates parallel coordination across multiple goose instances using a practical expense tracker project example.
Changes:
- Added new tutorial at
documentation/docs/mcp/beads-mcp.mdshowing Beads extension setup and usage - Includes configuration instructions for both CLI and Desktop interfaces
- Demonstrates coordinated work across 4 parallel goose sessions with dependency management
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* 'main' of github.com:block/goose: (62 commits) Swap canonical model from openrouter to models.dev (#6625) Hook thinking status (#6815) Fetch new skills hourly (#6814) copilot instructions: Update "No prerelease docs" instruction (#6795) refactor: centralize audience filtering before providers receive messages (#6728) update doc to remind contributors to activate hermit and document minimal npm and node version (#6727) nit: don't spit out compaction when in term mode as it fills up the screen (#6799) fix: correct tool support detection in Tetrate provider model fetching (#6808) Session manager fixes (#6809) fix(desktop): handle quoted paths with spaces in extension commands (#6430) fix: we can default gooseignore without writing it out (#6802) fix broken link (#6810) docs: add Beads MCP extension tutorial (#6792) feat(goose): add support for AWS_BEARER_TOKEN_BEDROCK environment variable (#6739) [docs] Add OSS Skills Marketplace (#6752) feat: make skills available in codemode (#6763) Fix: Recipe Extensions Not Loading in Desktop (#6777) Different approach to determining final confidence level of prompt injection evaluation outcomes (#6729) fix: read_resource_tool deadlock causing test_compaction to hang (#6737) Upgrade error handling (#6747) ...
…sion-session * 'main' of github.com:block/goose: (78 commits) copilot instructions: Update "No prerelease docs" instruction (#6795) refactor: centralize audience filtering before providers receive messages (#6728) update doc to remind contributors to activate hermit and document minimal npm and node version (#6727) nit: don't spit out compaction when in term mode as it fills up the screen (#6799) fix: correct tool support detection in Tetrate provider model fetching (#6808) Session manager fixes (#6809) fix(desktop): handle quoted paths with spaces in extension commands (#6430) fix: we can default gooseignore without writing it out (#6802) fix broken link (#6810) docs: add Beads MCP extension tutorial (#6792) feat(goose): add support for AWS_BEARER_TOKEN_BEDROCK environment variable (#6739) [docs] Add OSS Skills Marketplace (#6752) feat: make skills available in codemode (#6763) Fix: Recipe Extensions Not Loading in Desktop (#6777) Different approach to determining final confidence level of prompt injection evaluation outcomes (#6729) fix: read_resource_tool deadlock causing test_compaction to hang (#6737) Upgrade error handling (#6747) Fix/filter audience 6703 local (#6773) chore: re-sync package-lock.json (#6783) upgrade electron to 39.3.0 (#6779) ...
* main: docs: usage data collection (#6822) feat: platform extension migrator + code mode rename (#6611) feat: CLI flag to skip loading profile extensions (#6780) Swap canonical model from openrouter to models.dev (#6625) Hook thinking status (#6815) Fetch new skills hourly (#6814) copilot instructions: Update "No prerelease docs" instruction (#6795) refactor: centralize audience filtering before providers receive messages (#6728) update doc to remind contributors to activate hermit and document minimal npm and node version (#6727) nit: don't spit out compaction when in term mode as it fills up the screen (#6799) fix: correct tool support detection in Tetrate provider model fetching (#6808) Session manager fixes (#6809) fix(desktop): handle quoted paths with spaces in extension commands (#6430) fix: we can default gooseignore without writing it out (#6802) fix broken link (#6810) docs: add Beads MCP extension tutorial (#6792) feat(goose): add support for AWS_BEARER_TOKEN_BEDROCK environment variable (#6739)
Add tutorial for the Beads MCP Server extension, a git-backed issue tracker designed for AI agent task management.
The tutorial demonstrates:
Key features shown:
Type of Change
AI Assistance
Testing
Related Issues
Relates to #ISSUE_ID
Discussion: LINK (if any)
Screenshots/Demos (for UX changes)
Before:
After: