
Ln 300 Task Coordinator
This coordinator takes a Story, builds an ideal 1-8 task plan from acceptance criteria without looking at existing tasks first, then scores readiness and routes to create, add, or replan workers. It runs a seven-phase pipeline with graph and research MCP integration for symbol lookup and hypothesis verification. The decomposition uses a four-layer model (Foundation, Invocation, Knowledge, Wiring) and writes an AC-to-scenario traceability table before scoring. If the readiness score sits at 4-5 or coverage looks ambiguous, it can optionally call an external advisor agent to validate task boundaries. You'd use this when a Story needs task breakdown and you want the planning logic separated from the mutation step.
- skills.sh installs
- 375
- GitHub stars
- 591
- last updated
- Aug 21, 2026
Install
$ npx -y skills add levnikolaevich/claude-code-skills --skill ln-300-task-coordinator --agent claude-codeInstalls into .claude/skills of the current project.
Files
This coordinator takes a Story, builds an ideal 1-8 task plan from acceptance criteria without looking at existing tasks first, then scores readiness and routes to create, add, or replan workers. It runs a seven-phase pipeline with graph and research MCP integration for symbol lookup and hypothesis verification. The decomposition uses a four-layer model (Foundation, Invocation, Knowledge, Wiring) and writes an AC-to-scenario traceability table before scoring. If the readiness score sits at 4-5 or coverage looks ambiguous, it can optionally call an external advisor agent to validate task boundaries. You'd use this when a Story needs task breakdown and you want the planning logic separated from the mutation step.
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Details
- Repository
- github.com/levnikolaevich/claude-code-skills
- Category
- Productivity & Planning
- First seen
- Jun 3, 2026
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