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planning-and-task-breakdown

Breaks work into ordered, parallel-dispatchable tasks with an execution DAG. Output format is consumable by CI matrices and parallel agent runners — each task has a stable ID, declared file writes, conflict edges, and branch suffix. Use when you have a spec, brief, or shaper output and need to decompose it into implementable units. Use when a task feels too large, when scope spans multi-repo or multi-week work, or when parallel execution across multiple agents is on the table.

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설치 방법 보기

포함된 파일(6)

  • SKILL.md5.6 KB
  • assets/plan-document-template.md3.2 KB
  • references/execution-dag.md3.1 KB
  • references/parallelization-decisions.md3.3 KB
  • references/task-block-format.md3.3 KB
  • references/task-sizing-and-redflags.md2.5 KB

SKILL.md(원문)

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Planning and Task Breakdown

Decompose work into small, verifiable tasks with a parallel-dispatchable structure. The output is a plan document — never code — that downstream runners (CI matrices, single-agent execution sessions) consume to do the work.

When to use

  • After a /shape brief covering multi-repo, multi-week, or multi-slice work
  • When a spec or task feels too large to start in one session
  • When work needs to parallelize across agents or sessions
  • When implementation order isn't obvious

When not to use. Single-file changes with obvious scope, or specs that already contain well-defined tasks.

The planning process

  1. Plan mode. Read in read-only mode. Map dependencies, note risks. Do not write code during planning.
  2. Identify the dependency graph. Bottom-up — foundations first.
  3. Slice vertically. Each task is a feature path through every layer it needs (schema + API + UI), not a horizontal layer of the system. Horizontal slicing produces half-finished branches.
  4. Write task blocks. Each task is YAML frontmatter (id, depends_on, parallel_safe, conflicts_with, files_write, files_read, branch_suffix, scope) plus prose (description, acceptance, verification). Format and field semantics: references/task-block-format.md.
  5. Order and checkpoint. Phases are presentational; the DAG is the execution order. Checkpoints are synchronization barriers — dispatch pauses until they clear.
  6. Declare the Execution DAG. Top-of-document summary of edges using → and ||. Format and dispatcher contract: references/execution-dag.md.

Universal rules

  • Stable IDs, never renumbered. Use content-based slugs (T-auth-schema). Renumbering breaks every reference. Retire dropped IDs rather than reusing them.
  • files_write is authoritative, not advisory. The dispatcher uses it for conflict detection. Under-declare → parallel collisions; over-declare → false serialization.
  • The DAG is a summary, not the source of truth. Per-task depends_on is authoritative. The verification checklist enforces that they agree.
  • Day-zero ready set must be non-empty. At least one task has depends_on: []. If none do, the plan is malformed.
  • scope: L must be split before dispatch. Agents perform best on XS / S / M.
  • Plan, do not implement. This skill never writes code. The output is a plan document; execution is a separate step.
  • Every plan carries a **Status:** line. Lifecycle proposed → in-progress → shipped | superseded. A fresh plan starts at proposed; keep it current as the work moves. It is the signal for retiring completed plans (prune shipped/superseded plans manually), so an unmarked plan never gets recognized as done. See assets/plan-document-template.md.

References

Verification

Before starting implementation, confirm:

  • The plan has a **Status:** line (a fresh plan starts at proposed)
  • Every task has a stable id (content-based slug, not a number)
  • Every task has acceptance criteria and a verification step
  • Every task declares depends_on, parallel_safe, files_write
  • Every pair of tasks whose files_write overlap is in each other's conflicts_with
  • At least one task has depends_on: [] (a non-empty day-zero ready set)
  • No task is scope: L (split it before dispatch)
  • No task touches more than ~5 files
  • The Execution DAG matches the per-task depends_on (no orphan IDs, no missing edges)
  • Checkpoints exist between major phases and are referenced in the DAG
  • The human has reviewed and approved the plan

리뷰

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