shaping
Shape Up methodology for product and feature development.
Setup & Installation
Install command
clawhub install borahm/shapingIf the CLI is not installed:
Install command
npx clawhub@latest install borahm/shapingOr install with OpenClaw CLI:
Install command
openclaw skills install borahm/shapingor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/borahm/shapingWhat This Skill Does
Implements the Shape Up product development methodology for collaborative feature scoping with an LLM. Covers two phases: shaping (iterating on problem requirements and solution options with fit checks) and breadboarding (mapping systems into UI and code affordances with wiring). Produces decision matrices, affordance tables, and vertical implementation slices.
Unlike ad-hoc planning or user stories, it enforces a fit check across all requirements before committing to a shape, catching mismatches before any implementation begins.
When to Use It
- Defining requirements for a new feature before writing any code
- Comparing solution approaches side by side with a structured fit check
- Mapping an existing system to find where a proposed change lands
- Breaking a scoped feature into demo-able vertical implementation slices
- Running a 'should we build X or Y?' discussion with structured outputs
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Defining requirements for a new feature before writing any code
- 1Defining requirements for a new feature before writing any code
- 2Comparing solution approaches side by side with a structured fit check
- 3Mapping an existing system to find where a proposed change lands
- 4Breaking a scoped feature into demo-able vertical implementation slices
- 5Running a 'should we build X or Y?' discussion with structured outputs
Shape Up methodology for product and feature development.
Security Audits
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