hope/skills/intent/SKILL.md
Turn rough ideas into clear work orders before planning or building. Use when request is vague like "add a button", "make it better", "fix the thing". Triggers on ambiguous or underspecified requests. Produces a brief with scope, acceptance criteria, and stop conditions.
npx skillsauth add saadshahd/moo.md intentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Clarify WHAT before building anything. Every criterion must be testable by a stranger. Clarity over completeness — a partial spec with boolean criteria beats a thorough spec with vague ones.
A brief with invented details is worse than a shorter brief grounded in what the user said — assumptions compound silently downstream.
State what you heard in 1-2 sentences. If the task arrives with structured input (proposal, design, specs, task list), extract and validate — don't re-clarify.
Loop using AskUserQuestion — up to 3 questions per round, max 8 rounds. At least one question across all rounds should be "what should this NOT do?"
After each round, list remaining unknowns — things you'd have to invent if you wrote the brief right now. If the list is non-empty, ask another round targeting those unknowns. If empty, move to step 3.
Compress to one sentence (≤35 words): deliverable + top constraint.
Use AskUserQuestion to confirm:
Before generating the brief, list every detail you would need to invent — things the user never stated (numbers, thresholds, scope boundaries, tech choices).
Present each assumption via AskUserQuestion with "Accept" and 2-3 concrete alternatives. Batch unrelated assumptions together, separate dependent ones.
If there are zero assumptions, skip to step 5.
If the task is straightforward with clear precedent, skip to step 6.
Present best practices, thresholds, and standards the agent would add beyond what the user stated. Each with a one-line rationale explaining why it matters.
Use AskUserQuestion (multiSelect) so the user can cherry-pick which to promote into acceptance criteria. Selected items become acceptance criteria in the brief. Unselected items stay in a "Recommended Practices" section as suggestions.
Only after steps 4 and 5 are complete. The core brief contains only what came from the user or was approved in steps 4-5. Scale sections to task stakes — a small fix doesn't need 5 non-goals.
Structure:
User owns intent. If they say "I know what I want," proceed without clarification. When interpretations diverge, present options — never pick for them.
development
--- name: shape description: Resolves technical HOW decisions — architecture choices, technology selection, and design patterns — from a defined spec or intent. Distinct from hope:intent (which clarifies WHAT to build): shape starts when the goal is clear but the technical path is not. Use when: needing an implementation roadmap, choosing between architectural approaches, or resolving design trade-offs before coding. Triggers on: "shape this", "architecture for X", "how should I build", "system
development
Generate a project-level CLAUDE.md from stack detection and user-selected rule categories. Use when starting a new project, onboarding a repo, or when the user says "seed claude.md", "create project rules", "set up CLAUDE.md", "configure this project for me", or wants to establish coding conventions.
testing
--- name: consult description: Simulates expert panels, compares documented positions across thought leaders, and synthesizes anonymous recommendations grouped by concern. Invoke when facing design tradeoffs, architecture decisions, repeated failure modes, or domain questions where multiple perspectives would reduce decision regret. Triggers on: expert names, "panel", "debate", "what would [X] say", "stuck on", style requests. --- Simulate expert perspectives by reasoning from documented positi
data-ai
Assesses team fitness and composes agent teams. Use when "set up a team", "team for this", "should I use agents", "design a team", "how many agents", "agent team".