Adlc plan
Agentic Development Lifecycle skills for real software work
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Create executable ADLC plans with task graphs, acceptance criteria, and commit checkpoints.
SKILL.md
1.9 KB, as published. Nobody here has run it
ADLC Plan
Use this to convert a clear request into an executable plan.
Modes
fast: one small task or quick fix; write.adlc/PLAN.md.full: larger feature or single-sprint multi-step change; write.adlc/plans/<slug>.md.parallel: only when tasks are independent enough for worktrees or Codex workers.workstream: when an epic needs Codex goal-managed milestones, durable step cards, and multi-sprint state; useadlc-workstream.
Process
- Resolve effective ADLC paths from
.adlc/config.yaml; useadlc resolve-configwhen the CLI is available. - Read configured ADLC context, repo guidance, and any relevant spec under
paths.interviews. - Run repo reconnaissance before asking questions.
- If intent, non-goals, decision boundaries, or acceptance criteria remain materially unclear, hand off to
adlc-interviewbefore writing executable tasks. - Use
plan-coordinatorandplan-polisherwhen native Codex agents are available and the plan is non-trivial. - Choose the correct granularity: fast plan, full plan, parallel plan, roadmap item, or goal-managed workstream.
- Define tasks with ownership, execution lane, dependencies, write scope, acceptance criteria, verification, docs/release impact, rollback notes when relevant, and commit checkpoints.
- Split broad tasks until each task can be reviewed, verified, and committed as one coherent slice.
- For 5 or more tasks, multiple milestones, or any long-running epic, create or update an
adlc-workstream. - Mark blocked human decisions explicitly instead of hiding them inside implementation tasks.
Output
Write or return the plan path, interview spec path when used, task graph, granularity choice, verification policy, commit policy, open gates, and whether it is ready for adlc-improve, adlc-workstream, or adlc-implement.