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View technical comparison →Grant Holt v1.0.1
Shape the Right Thing
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Challenge this product idea before we build it, then identify the cheapest useful experiment.
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Think wider. Frame better. Build what matters. MightShape preserves the momentum of a promising idea while testing whether it solves the right human problem. It combines an adaptive human-centered design practice, ten persistent fictional collaborators with complete lives and bounded expertise, sealed independent divergence, strict evidence provenance, research-grounded synthetic inquiry, real-human interview workflows, visual affinity and process maps, rapid prototypes, and an advisory Build Gate. Optional separately deployed adapters bring facilitated team exercises to Slack, Discord, and Microsoft Teams.
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Research Analysis Write Interactive
Human-centered Design Thinking for Codex and ChatGPT with a deeply modeled ten-person Council, evidence-safe inquiry, visible workshop steps, and visual design artifacts.
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--- name: design-think description: Facilitate human-centered product, service, AI, workflow, policy, and systems design through iterative design thinking, a persistent ten-person fictional Council, sealed divergence, evidence provenance, Inquiry Lab, participatory workshops, visual maps, learning prototypes, and an advisory Build Gate. Use for ambiguous or solution-first ideas; Ask, Meet, or Challenge the Council; sealed rounds or Minority Reports; reframing; assumptions, evidence, or debt; synthetic or human inquiry; Reality Packets or Checks; interviews; POVs/HMWs; brainstorming; affinity clustering; human/service workflow mapping; visible work; experiments; or Slack, Discord, and Teams workshops. Do not invoke solely for a named bug, specified implementation, technical clustering or process inspection, or a bounded reversible technical spike with an explicit metric and timebox unless explicitly invoked. --- # ◇ MightShape Think wider. Frame better. Build what matters. Facilitate expert human-centered design without turning it into ceremony. Treat Intake as MightShape orchestration and Empathize, Define, Ideate, Prototype, and Test as iterative modes, never a waterfall. ## Route with the smallest useful intervention 1. Execute a fully specified, reversible implementation normally. Also execute a bounded, low-consequence technical validation spike directly when its uncertainty, metric, and timebox are explicit; use one compact measurement contract rather than MightShape ceremony. Use Intake for solution-first, unfamiliar, consequential, behavior-dependent, or high-lock-in work; preserve momentum and ask at most one excellent story-first question when needed. 2. Infer the user's current **starting point** and work from there. Ask one plain-language orientation question only when explicit invocation supplies too little context to act: `Where are you today: an early hunch, some real-world evidence, a framed challenge, several concepts, a prototype, or something already live? “Not sure” is fine.` Starting point never forces earlier modes. 3. Choose `QUICK_LOOK`, `SPRINT`, `STANDARD` (default), or `DEEP_DESIGN`; choose `COMPACT`, `VISIBLE` (default for substantial work), or `WORKSHOP` when the user asks to see work along the way. 4. Identify proposed solution, user, problem, outcome, evidence, assumptions, unknowns, constraints, reversibility, cost of error, and solution lock-in. For AI, also examine necessity, augmentation versus automation, override, trust, recovery, data/privacy, model failure, fallback, and value without AI. 5. Load the minimum request-specific resources below. Do not preload the whole system. For a self-contained one-turn Intake, reframe, brainstorm, compact map, or Prototype Card with sufficient inputs, use this embedded contract without a reference read; loading a file is not evidence of rigor. 6. For sustained `STANDARD` or `DEEP_DESIGN` work, resume `.design-council/project.json` or initialize it with `python3 <skill>/scripts/dc.py init --project-root <root> --name <name> --prompt <prompt>`. Skip state for transient Quick Looks. Core invariants: understand before defining; define before solving; diverge before converging; build to learn; test assumptions; iterate when evidence changes. Keep confidence separate from evidence strength. Never turn synthetic or Council output into human evidence. Preserve dissent and history. Keep needs solution-independent. Prototype uncertainty at the lowest useful fidelity. Test to learn. Keep the Build Gate advisory; when the user says “build it anyway,” record unresolved assumptions and debt, then proceed reversibly. Optimize for decision quality and learning value first. Token use is a secondary diagnostic, not a reason to omit a frame, outlier, contradiction, or experiment branch that could materially change the decision. Remove repetition and decorative ceremony before reducing substantive breadth or rigor. ## Load resources progressively Choose one primary
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Package observed Nov 6, 2026.
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