shaping

Calendar & Scheduling
v1.0.0
Benign

Shape Up methodology for product and feature development.

790 downloads790 installsby @borahm

Setup & Installation

Install command

clawhub install borahm/shaping

If the CLI is not installed:

Install command

npx clawhub@latest install borahm/shaping

Or install with OpenClaw CLI:

Install command

openclaw skills install borahm/shaping

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/borahm/shaping

What 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.

INPUT

User asks: Defining requirements for a new feature before writing any code

AGENT
  1. 1Defining requirements for a new feature before writing any code
  2. 2Comparing solution approaches side by side with a structured fit check
  3. 3Mapping an existing system to find where a proposed change lands
  4. 4Breaking a scoped feature into demo-able vertical implementation slices
  5. 5Running a 'should we build X or Y?' discussion with structured outputs
OUTPUT
Shape Up methodology for product and feature development.

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Last updatedFeb 25, 2026