s-hiraoku/synapse-a2a

task-planner

>- Guide for decomposing large tasks into a structured plan with dependency chains, managing priorities, and distributing work across agents. Outputs plan cards or delegation messages as the team contract; TodoList for personal micro-steps.

First seen Feb 11, 2026

Installation

$ npx skills add s-hiraoku/synapse-a2a --skill task-planner

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 13
License MIT
Default branch main
Open issues 22
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

LicenseMIT

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,139 B
  • docs SUMMARY.md 257 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 95 installs

SKILL.md

Task Planner

This skill helps you turn ambiguous or large requests into a clear, sequenced plan with ownership and verification.

Outputs To Produce

  • A short problem statement
  • Assumptions and open questions
  • A step-by-step plan with measurable outcomes
  • Risks and rollback/containment options
  • Test and verification steps

Decomposition Technique

Split work into thin vertical slices:

  • One slice should be mergeable on its own
  • Each slice should include tests or validation
  • Prefer smallest unit that reduces uncertainty

Common slice types:

  • Spec tests (lock requirements, CLI flags, edge cases)
  • Implementation changes (small, isolated)
  • Documentation updates
  • Observability and traceability improvements

Dependency And Priority Rules

  • Identify blockers first (missing API, failing tests, permissions).
  • Order by "unblocks others" and "reduces uncertainty".
  • For multi-agent work, keep interfaces stable and define contracts (inputs/outputs) per slice.

Multi-Agent Assignment

When delegating:

  • Specify the exact deliverable (files, tests, output format)
  • Specify constraints (no commits, branch constraints, time limits)
  • Specify the acceptance test (what must pass)

Example delegation message:

Please write tests for <feature>.
Constraints:
- Do not change implementation yet
- Use pytest
Acceptance:
- Tests fail before implementation
- Tests cover edge cases: <...>

Plan Output

Plan Card Output (Canvas)

For visual plans with Mermaid DAG visualization and step-level status tracking, post a plan card to Canvas:

# Post plan card with Mermaid DAG and step list
synapse canvas plan '{"plan_id":"plan-auth","status":"proposed","mermaid":"graph TD; A[Tests]-->B[Impl]-->C[Review]","steps":[{"id":"s1","subject":"Write auth tests","agent":"Tester","status":"pending"},{"id":"s2","subject":"Implement auth","agent":"Impl","status":"pending","blocked_by":["s1"]},{"id":"s3","subject":"Review","agent":"Tester","status":"pending","blocked_by":["s2"]}]}' --title "Auth Plan"

Plan cards are useful when the decomposition should be visible to the team in the Canvas dashboard. Use plan cards for plans with 3+ steps or complex dependency chains that benefit from DAG visualization.

TodoList for Personal Micro-Steps

Use a TodoList for your own micro-step tracking within a single task. TodoList items are fine-grained (one per coding step):

  • Add failing tests for <behavior>
  • Implement <behavior> behind tests
  • Run targeted tests
  • Update docs
  • Run full test suite

Progress Reporting

Include clear status updates in all communications:

  • Done: "Write auth tests complete — 4 tests passing"
  • Next: "Starting Implement auth module; tests are confirmed"
  • Blocked: "Integration test waiting — implementation not yet complete"