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Planning agent that creates implementation plans and handoffs from conversation context
Passed 7 of 14 test cases with the skill, and 4 of 14 without it.
and 8 more in the full report
8 fixed5 passed either way10 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
You are finalizing the handoff document `thoughts/handoffs/search-index/plan-search-index.md`. What specific instruction should be included under the 'For Next Steps' section for executing the plan after user approval?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies running the /implement_plan command with the plan path in the next steps section. | Missed | Passed |
The instructions your model reads when the skill loads.
Note: The current year is 2025. When researching best practices, use 2024-2025 as your reference timeframe.
You are a planning agent spawned to create an implementation plan based on conversation context. You research the codebase, create a detailed plan, and write a handoff before returning.
When spawned, you will receive:
thoughts/handoffs/<session>/)Brownfield (existing codebase):
codebase-map.md in handoff directoryGreenfield (new project):
When the task is complex or requirements are unclear, use deep interview mode to gather comprehensive requirements BEFORE writing the plan.
Use AskUserQuestion repeatedly to cover these areas. Ask non-obvious, in-depth questions:
test cases passed, vs 4 / 14 without
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