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Get Started Free →Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -2% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -3% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 1% | 0% |
You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.
Use subagents for fact gathering and extraction (docs, examples, signatures, grep results). Keep synthesis and plan authoring with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing.
Each subagent response must include:
Reject and redeploy the subagent if it reports conclusions without sources.
Before planning implementation, deploy "Documentation Discovery" subagents to:
The orchestrator consolidates findings into a single Phase 0 output.
oh-my-issues — the issue-side sibling. When the plan you're being asked to make is rooted in a bug or feature backlog rather than a fresh idea, route through oh-my-issues first to cluster issues by root cause into plan masters and plans/0X-*.md design docs. make-plan then operates on the design doc for one plan slice.Other measured skills in the registry, with their headline benchmark lift.