Back to skills
extension
Category: Development & EngineeringNo API key required

wave-planner

Plan and execute large multi-step, multi-stack changes with contract-first waves, parallel worker ownership, user approval gates, ordered integration, and final verification/docs updates. Use only when the task spans multiple areas (for example frontend, backend, tests, errors, docs) or has dependency-heavy sequencing.

personAuthor: jakexiaohubgithub

Wave Planner

Create and run a Wave-Driven Development plan for large, cross-stack tasks.

Objective

Produce:

  • Vision and scope boundaries
  • Decision Log
  • Wave 0 contracts
  • Wave 1..N parallel implementation waves
  • Integration wave
  • Final verification wave
  • Documentation update step
  • Ready-to-send worker prompts and execution checklist

Workflow

  1. Decide whether to use this skill:
  • Use only if work is large, multi-step, and touches multiple parts/stacks.
  • If not large enough, do not use this skill.
  1. Ask for Gate 1 user approval before planning:
  • Send a short reason: "I recommend Wave method because <short reason>. Do you agree?"
  • Stop until user accepts or declines.
  1. If accepted, draft the plan:
  • Clarify done criteria and out-of-scope.
  • Build Decision Log (naming, API shape, error model, logging, tests, style constraints).
  • Define Wave 0 contracts first (types/interfaces/schemas, boundaries, API shapes, constants, flags/migrations).
  • Because worker execution uses gpt-5.4-mini, make the plan unusually clear and concrete so smaller agents can execute reliably without guessing.
  • Save the plan by default inside .planning/; create the folder if it does not exist.
  • Use a clear feature-based filename for the plan.
  1. Choose wave and agent count with balancing rules:
  • Prefer 1-2 waves unless more waves are clearly needed to avoid conflicts or sequencing problems.
  • Use the minimum number of waves that still avoids conflicts.
  • Group independent tasks into the same wave.
  • Move dependency-bound tasks to later waves.
  • Keep each worker task medium-sized (not tiny and not overloaded).
  • Ensure each worker has explicit file/module ownership.
  1. Produce a one-line execution preview before full detail:
  • One line per wave.
  • One line per worker with task summary.
  1. Produce the full plan with complete shared context:
  • Include full vision and all waves so each worker sees global intent.
  • Include worker-specific goals, files, constraints, and verification.
  • Include explicit wave order for execution (Wave 0, then Wave 1..N, then Integration, then Final Verification, then Docs).
  • Make each worker prompt highly specific: exact ownership, exact files/modules, exact handoff format, exact verification steps, and any important non-goals.
  • By default, save the full plan to the plan file and do not dump the full plan in chat unless the user explicitly asks.
  1. Ask for Gate 2 user approval before execution:
  • "Plan is ready. Execute now?"
  • Stop until user accepts or declines.
  1. If accepted, execute with Codex swarm/subagents:
  • Spawn one named Codex subagent per worker in the current wave.
  • Use gpt-5.4-mini for those worker subagents.
  • The main Codex agent controls the subagents, assigns ownership, monitors progress, validates handoffs, and decides when a wave is complete.
  • Run subagents in parallel inside a wave, but execute waves sequentially.
  • Wait for all subagents in the wave to finish and validate handoffs before starting the next wave.
  • Close finished subagents after completion.
  1. After all waves:
  • Main agent reviews merged result and runs verification tests.
  • Main agent updates existing docs if needed, or adds new docs for new features.
  • Follow existing documentation format and conventions.
  • Main agent updates the original plan file status to Completed or Blocked.
  • Main agent adds final verification notes to the original plan file.
  • If the project has a status-tracking document or progress board, update it during closeout so completed work and remaining open work stay accurate.

Global Rules

  • Gating rule: planning and execution require explicit user approvals (Gate 1 and Gate 2).
  • Ownership rule: workers edit only assigned files.
  • Dependency rule: if outside scope is needed, return a Dependency Note instead of editing.
  • Consistency rule: follow existing repo patterns; do not invent new architecture unless requested.
  • Verifiability rule: each worker includes at least one concrete verification method.
  • Ordering rule: wave order is strict; do not start next wave early.
  • Subagent rule: one named Codex subagent per worker; close finished subagents.
  • Planning quality rule: because workers default to gpt-5.4-mini, the main plan must be detailed, concrete, and unambiguous enough that workers do not need to invent missing structure.
  • Plan-location rule: save plans in .planning/ by default and create the folder if needed.
  • Worker-context rule: every worker must read the original plan file first for the full picture before editing.
  • Handoff rule: every worker must append its handoff into the original plan file, not only reply in-session.
  • Deduplication rule: if a worker reports more than once, keep one clean final handoff entry in the plan file.
  • Commit-scope rule: before committing, inspect git status and commit only the files that belong to the planned task.
  • Verification-scope rule: run targeted checks first, then broader checks; report unrelated pre-existing failures clearly as outside the feature scope.
  • Status-tracking rule: if the project uses a status-tracking doc, board, or changelog-in-progress, update it as part of closeout so project status reflects what was completed and what remains open.
  • Docs rule: docs update is mandatory in final step (update existing docs or add new).

Model Routing Configuration

Use Codex built-in subagents for execution.

Rules:

  • Default all worker/subagent execution to gpt-5.4-mini.
  • The main Codex agent remains responsible for planning, orchestration, integration, and final verification.
  • Prefer a very strong plan, strict ownership, and clear contracts over increasing model size.
  • Assume smaller workers perform best when instructions are explicit, scoped, and testable; plan accordingly.
  • If a task is unusually complex and gpt-5.4-mini is clearly insufficient, pause and ask the user before using a stronger model.
  • Do not use per-task model routing by default; prefer gpt-5.4-mini unless the user approves an exception.

Mandatory Worker Handoff Format

  1. Summary (1-3 lines)
  2. Files changed (exact list)
  3. Patch/diffs (or exact edits)
  4. How to test (commands + expected result)
  5. Risks/TODOs/Dependency Notes
  6. Main plan log entry (what to append to shared execution log)
  7. Completion marker: WAVE {WAVE_ID} / {AGENT_NAME} DONE

Output Contract

Always output the final plan using this section order:

  • A) Vision
  • B) Decision Log
  • C) Contracts (Wave 0)
  • D) Waves (1..N with agents)
  • E) Integration + Final Verification + Docs
  • F) Worker prompts
  • G) Execution checklist (Codex subagents + wave order)

Use templates from templates/ when helpful.

Final Response Contract

After execution, keep the user-facing summary short by default and include:

  • what was implemented
  • where the plan file lives
  • what tests/checks passed
  • what is still failing, blocked, or outside scope