Manage AI agent tasks and dependencies with a git-native issue tracking system.
npx skills add https://github.com/mapachekurt/mapache-skills --skill beads-mapachekurt
Please help me install this Agent Skill. Skill: beads Source: https://github.com/mapachekurt/mapache-skills/tree/main/skills/beads Command: npx skills add https://github.com/mapachekurt/mapache-skills --skill beads-mapachekurt
This Skill provides a robust, git-native system for tracking issues and managing AI agent workflows, ensuring persistence and queryability of agent tasks and their dependencies.
Use the beads skill to create a new issue with the title 'Implement user authentication'.
High-intent search queries and answers about installing and using this skill.
You can track AI agent tasks and dependencies in a git repository using a git-native issue tracking system that stores data as a persistent, queryable Directed Acyclic Graph. This provides version control and history for all workflow management operations.
A DAG-based issue tracking system for AI workflows manages complex relationships between issues by forming a Directed Acyclic Graph. It ensures persistent memory and queryability of agent tasks across different AI agents and platforms.
To manage dependencies between issues for AI agents, you create issues for each task and link them by dependencies. The system forms a Directed Acyclic Graph that allows you to query progress or identify bottlenecks in the workflow.
Yes, you can use an MCP server for issue tracking with Claude or Antigravity agents. The system is designed for cross-agent compatibility, integrating with both CLI and MCP server for operational commands and data access.
Git-native issue tracking works across different AI agent platforms by storing issue data in a git repository. This cross-agent compatibility ensures persistent, queryable task and dependency management regardless of the specific AI platform used.
The metadata does not specify explicit limitations of storing AI workflow dependencies in git. However, the system requires integration with a CLI and MCP server to facilitate operational commands and data access for the DAG storage.
thavirak-svayVerify tests and present merge, pull request, or cleanup options for a git branch.
fisheadTrack feature subtasks with dependency-aware progress and validation checks.
0xRayAICoordinate multi-agent workflows and delegate tasks within the Xray framework.
kubiyabotManage Azure resources via the native az CLI.
