agentleFS
redicherediche/skills/to-subtasks/SKILL.md

to-subtasks

Skill3 starsChanged 36 days agoMITView on GitHub

Converts the current conversation context into an implementation-ready subtask plan with atomic, dependency-ordered steps and optional test pairing. Use when a planning/discovery conversation (including grill-me sessions) is complete and the next step is to break decisions into actionable subtasks for sequential implementation.

The file

Show its rules and text

We split this skill into the rules it gives an agent

25 rules. About 0 are common, 25 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈25

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When the user asks to move from discussion to execution planning:

    line 10
  2. Distinctive:

    Read the current conversation context.

    line 12
  3. Distinctive:

    If tests are agreed upon, pair test work with each relevant subtask.

    line 15
  4. Distinctive:

    If context came from a grill-me session, treat resolved branches as requirements.

    line 24
  5. Distinctive:

    Ask the user about unresolved requirements or tradeoffs.

    line 29
  6. Distinctive:

    Do not turn investigation, clarification, or decision-making into subtasks.

    line 31
  7. Distinctive:

    Test-only changes qualify when they deliver requested coverage or regression protection.

    line 40
  8. Distinctive:

    Do not invent code changes merely to make an activity qualify.

    line 42
  9. Distinctive:

    Not a subtask: “Investigate how authentication works.”

    line 45
  10. Distinctive:

    Not a subtask: “Run the full test suite and validate the implementation.”

    line 47
  11. Distinctive:

    Instead: Include the relevant test commands and acceptance checks in each implementation subtask.

    line 48
  12. Distinctive:

    Create subtasks that are:

    line 51
  13. Distinctive:

    If testing is requested or agreed:

    line 59
  14. Distinctive:

    If a full-suite run is required, attach it to the final implementation subtask's validation checks.

    line 64
  15. Distinctive:

    Never append a standalone testing, validation, or review subtask.

    line 65
  16. Distinctive:

    If testing is explicitly not desired:

    line 67
  17. Distinctive:

    If grill-me has already been run, output only the subtask list and nothing after it.

    line 72
  18. Distinctive:

    Do not append sections after the list.

    line 73
  19. Distinctive:

    Use this format when presenting to the human:

    line 77
  20. Distinctive:

    Do not start implementation.

    line 87
  21. Distinctive:

    Do not combine unrelated concerns in one subtask.

    line 88
  22. Distinctive:

    Prefer smaller implementation changes, but never split investigation or validation into standalone subtasks.

    line 89
  23. Distinctive:

    Before presenting the list, verify that every subtask names a concrete code change.

    line 91
  24. Distinctive:

    Keep language concrete and execution-oriented.

    line 92
  25. Distinctive:

    Always order subtasks so all dependencies are resolved before dependent work begins.

    line 93

≈ “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

To Subtasks

Quick start

When the user asks to move from discussion to execution planning:

  1. Read the current conversation context.
  2. Extract decisions, constraints, assumptions, and open questions.
  3. Resolve implementation-relevant uncertainties, then produce code-changing subtasks that can be implemented one by one.
  4. If tests are agreed upon, pair test work with each relevant subtask.
  5. Present the subtasks to the human for confirmation before execution.

Workflow

1) Context digestion

  • Identify final decisions from the conversation.
  • Capture constraints (tech, scope, style, deadlines, dependencies).
  • Detect whether a grill-me session has already been completed.
  • If context came from a grill-me session, treat resolved branches as requirements.

2) Readiness gate

  • Resolve implementation-relevant uncertainties before generating subtasks.
  • Investigate factual questions through available code, documentation, and conversation context.
  • Ask the user about unresolved requirements or tradeoffs. Recommend a grill-me session when substantial decisions remain.
  • A completed grill-me session does not bypass this gate if new uncertainties appear.
  • Do not turn investigation, clarification, or decision-making into subtasks.
  • Generate subtasks only when the intended changes and their prerequisites are clear.

What counts as a subtask?

A subtask is a focused implementation change that produces a concrete, reviewable code diff.

  • State what will change, not merely what someone will investigate or verify.
  • Include relevant test changes and validation within the implementation subtask.
  • Test-only changes qualify when they deliver requested coverage or regression protection.
  • Reading code, exploring options, choosing an approach, running tests, and reviewing results do not qualify on their own.
  • Do not invent code changes merely to make an activity qualify.

Examples:

  • Not a subtask: “Investigate how authentication works.”
  • Valid subtask: “Reject expired authentication tokens and add regression coverage.”
  • Not a subtask: “Run the full test suite and validate the implementation.”
  • Instead: Include the relevant test commands and acceptance checks in each implementation subtask.

3) Subtask generation

Create subtasks that are:

  • Atomic: each can be implemented in one focused change set.
  • Ordered: each step depends only on prior completed steps.
  • Dependency-safe: every subtask appears only after all of its prerequisites are resolved.
  • Reviewable: each step is scoped for clear implementation and validation.
  • Traceable: each subtask maps back to one or more conversation decisions.

4) Test pairing (conditional)

If testing is requested or agreed:

  • Attach test updates to each implementation subtask, not as one final bulk step.
  • Specify test type per subtask (unit/feature/integration/e2e as appropriate).
  • Define acceptance checks per subtask.
  • Running existing tests is a validation check, not a separate subtask.
  • If a full-suite run is required, attach it to the final implementation subtask's validation checks.
  • Never append a standalone testing, validation, or review subtask.

If testing is explicitly not desired:

  • Note that in assumptions and proceed without test subtasks.

5) Human-ready presentation

Present subtasks as a structured numbered list only.

  • If grill-me has already been run, output only the subtask list and nothing after it.
  • Do not append sections after the list.

Output format

Use this format when presenting to the human:

  1. Subtask N: <title>
    • Goal:
    • Scope:
    • Deliverables:
    • Tests:

Guardrails

  • Do not start implementation; planning only.
  • Do not combine unrelated concerns in one subtask.
  • Prefer smaller implementation changes, but never split investigation or validation into standalone subtasks.
  • Resolve assumptions that affect scope or implementation before planning; label only non-blocking assumptions within the relevant subtask.
  • Before presenting the list, verify that every subtask names a concrete code change. Resolve or remove any item that does not.
  • Keep language concrete and execution-oriented.
  • Always order subtasks so all dependencies are resolved before dependent work begins.

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.