Planning workflow
Harness Kit is a reusable Codex workflow layer for repositories that want a clean operating system around implementation work.
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Use when work is already clear enough to execute but still too large to implement safely without a written plan. Trigger for multi-step features, refactors, risky bug fixes, or coordinated agent work that should be broken into bounded tasks with validation checkpoints. Do not use to clarify vague goals; start with `spec-writing` when the request itself is still underspecified.
SKILL.md
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Planning Workflow
Break a spec or issue into small tasks that another Codex user can execute without re-scoping the problem.
This skill is for implementation sequencing, not initial problem discovery.
Default flow
- Read the current issue or spec before changing code.
- Identify dependencies, risky areas, and blockers.
- Split the work into small validated steps.
- Prefer vertical slices over layer-by-layer work when possible.
- Put acceptance and validation beside each task, not only at the end.
- Use the issue doc's
PlanandValidationsections unless the plan is large enough to deserve its own note. - Stop once the next implementation steps are explicit enough to execute and track in the issue doc.
Good fit
- features that touch multiple files
- work that will span more than one session
- tasks that may involve sub-agents
- fixes where implementation order matters
Avoid for
- tiny edits with obvious scope
- tasks where the issue doc already has a solid task list
Resources
- See
references/plan-checklist.mdfor a short planning rubric. - Pair with
issue-driven-workflowto keep the plan attached to the real execution record.
What ships with it: 2 files
483 B alongside SKILL.md
agents/
- openai.yaml136 B
references/
- plan-checklist.md347 B