skills/product-thinking/SKILL.md
Product-need reasoning lens for "make something people want" — loaded by questioner, design-author, and structure-planner to validate user demand while framing, designing, and slicing scope
npx skillsauth add bostonaholic/team product-thinkingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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A reasoning lens, not a gate. It produces no artifact of its own and blocks nothing. It shapes how the pre-implementation agents frame, design, and slice scope so that the work is something real people actually want.
Four lenses sharpen every framing, design, and slicing decision:
Questions to sharpen the inferred goal and acceptance signals you write
into task.md:
These lens questions shape only how the questioner frames the inferred goal and
acceptance signals — never what gets researched or what goes into
questions.md. (The goal stays out of questions.md by design.)
Questions to apply while choosing an approach and writing ## Decisions made
and ## Out of scope:
Questions to apply while ordering slices:
This lens informs judgment; it never blocks the pipeline. Do not manufacture user-research ceremony where the user's stated intent already answers "who wants this." On an empty or trivial task, the right move is to apply judgment and ask nothing extra. The point is to keep "do real people want this?" in view — not to add ritual.
data-ai
Todo-first progress convention for multi-step procedures — loaded by every multi-step agent to track its own steps without drift
testing
Adversarially review a technical design document with fresh context before the human gate. Dispatches the built-in `general-purpose` subagent (clean context, no shared history with the design-author) against `docs/plans/<id>/design.md` and presents its verdict — APPROVE, REQUEST CHANGES, or COMMENT. Optional, not part of the QRSPI pipeline. Trigger on "review the design doc", "audit design.md", "is this design ready", or `/eng-design-doc-review`.
development
Generator-evaluator separation and review methodology — loaded by review agents to enforce fresh-context review discipline, Conventional Comments format, and gate verdicts
data-ai
Prepare one or more isolated git worktrees — one per repository the topic touches. Router action — no agent. Trigger on "set up the worktree", "isolate this work", or "/team-worktree".