agentleFS
pecigonzalopecigonzalo/agent-skills/skills/pattern-task-breakdown/SKILL.md

pattern-task-breakdown

Skill0 starsChanged 4 months agoMITView on GitHub

Use this skill whenever you decompose work into steps, plan a multi-part change, map dependencies or ordering, produce estimates, respond to a request for a detailed plan, or clarify an uncertain approach that may be resumed later. Produces compact task breakdowns with dependencies and verification steps. Use pattern-orchestration-complex instead when the work also needs phase gating and approval.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 2 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Keep estimates realistic: include testing time and add buffer for the parts that are unclear.

    line 59
  2. Very specific:

    Use this section only when the host provides compatible store tools.

    line 65
  3. Very specific:

    When a stored plan will produce 3 or more TODOs, take more than 60 minutes, or span multiple phases or agents, include data.prompt_drafts …

    line 69
  4. Distinctive:

    Before handing back a plan:

    line 95

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Quick Reference

Process: Scope → Phases → Tasks → Dependencies → Verification

Use when the work touches 4+ files, takes more than 60 minutes, carries sequencing risk, or needs user approval before execution.

Golden Rule: The plan must be smaller than the work it describes. Avoid over-planning.


Workflow

1. Scope

Restate the goal, non-goals, constraints, and known risks. Ask only blocking questions; state assumptions for everything else.

2. Phase

Group related work into phases with a clear outcome each. Keep phases independently reviewable, so work can stop cleanly at a phase boundary.

3. Task

Break each phase into 30 to 120 minute tasks. If a task cannot be described in one sentence, it is still a phase. For each task, name the files or components, the dependencies, and the verification.

4. Sequence

Identify blockers, what can run in parallel, and the critical path. The critical path is what determines the real total, not the sum of estimates.

5. Validate

Include test, build, and docs checks, plus rollback concerns where the work touches production state.


Output Format

Goal: {one sentence}
Assumptions: {short list, or none}
Risks: {top 1-3, with mitigations}

Plan:
1. {Phase or task title}
   - Scope: {files/components}
   - Depends on: {none | task numbers}
   - Verify: {specific runnable check}
2. ...

Open questions: {blocking only}
Estimate: {rough total, or per phase}

Keep estimates realistic: include testing time and add buffer for the parts that are unclear. A verification line that cannot be run is not verification.


Stored or Resumable Plans

Use this section only when the host provides compatible store tools. Without them, keep the complete plan in TODO descriptions or the conversation, and omit storewrite, storeread, and [store:<id>] references rather than substituting repository files.

This skill defines the planning shape; tool-store covers the storage tool itself.

When a stored plan will produce 3 or more TODOs, take more than 60 minutes, or span multiple phases or agents, include data.prompt_drafts in the plan entry:

{
  "prompt_drafts": {
    "handoff_prompt": "Load store: <plan-id>\n\nTask: Continue the stored plan.",
    "todo_items": [
      {
        "title": "Short step title",
        "description": "What to do, required skills, success criteria, [store:<plan-id>]"
      }
    ]
  }
}

Rules:

  • Keep prompts plain text so any agent or client can execute them. Do not store client-specific tool-call blocks, which stop working the moment the plan is resumed on a different harness.
  • Include the required skills and store references in each item, since a resuming agent inherits neither.
  • Replace placeholder plan IDs after the store item is created.

Checklist

Before handing back a plan:

  • Goal, non-goals, assumptions, and top risks are stated
  • Each task is 30 to 120 minutes with named scope and a runnable verification
  • Dependencies, parallel work, and the critical path are explicit
  • Each task has an owner agent or can be done directly
  • Test, build, docs, and rollback concerns are covered where relevant
  • Blocking questions are separated from assumptions
  • The plan is shorter than the work it describes

Integration with Other Skills

With pattern-orchestration-complex: supplies the plan its approval and execution phases consume.

With role-orchestrator: the plan output feeds TODOs and delegation prompts.

With tool-store: persists the plan and its prompt_drafts for later resumption.

With role-product-engineer: scope the outcome before decomposing it.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.