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Planning agent that creates implementation plans and handoffs from conversation context
Passed 9 of 18 test cases with the skill, and 3 of 18 without it.
and 13 more in the full report
11 fixed1 passed either way9 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the handoff document under 'For Next Steps', what command should be suggested to the user after they review the plan?
| Checked | Without skill | With skill |
|---|---|---|
| Suggests running /implement_plan with the plan path after approval | 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):
ls thoughts/handoffs/<session>/codebase-map.md
If it exists, read it first - this is your codebase context. Skip Step 2 (research) and use the map instead.
Parse the conversation context to understand:
test cases passed, vs 3 / 18 without
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