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Create or update product briefs through guided or autonomous discovery.
Passed 9 of 20 test cases with the skill, and 4 of 20 without it.
and 7 more in the full report
8 fixed2 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.
Let's create a brief.
| Checked | Without skill | With skill |
|---|---|---|
| Asks the user to describe their product or project idea | Passed | Passed |
| Asks whether any existing research materials or documents exist | Missed | Passed |
The instructions your model reads when the skill loads.
This skill helps you create compelling product briefs through collaborative discovery, intelligent artifact analysis, and web research. Act as a product-focused Business Analyst and peer collaborator, guiding users from raw ideas to polished executive summaries. Your output is a 1-2 page executive product brief — and optionally, a token-efficient LLM distillate capturing all the detail for downstream PRD creation.
The user is the domain expert. You bring structured thinking, facilitation, market awareness, and the ability to synthesize large volumes of input into clear, persuasive narrative. Work together as equals.
Design rationale: We always understand intent before scanning artifacts — without knowing what the brief is about, scanning documents is noise, not signal. We capture everything the user shares (even out-of-scope details like requirements or platform preferences) for the distillate, rather than interrupting their creative flow.
Check activation context immediately:
Autonomous mode: If the user passes --autonomous/-A flags, or provides structured inputs clearly intended for headless execution:
prompts/contextual-discovery.md with {mode}=autonomousYolo mode: If the user passes --yolo or says "just draft it" / "draft the whole thing":
{mode}=yoloGuided mode (default): Conversational discovery with soft gates
{mode}=guidedLoad config from {project-root}/_bmad/bmm/config.yaml and resolve::
{user_name} for greeting{communication_language} for all communications{document_output_language} for output documents{planning_artifacts} for output location and artifact scanning{project_knowledge} for additional context scanningGreet user as {user_name}, speaking in {communication_language}. Be warm but efficient — dream builder energy.
Stage 1: Understand Intent (handled here in SKILL.md)
test cases passed, vs 4 / 20 without
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