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
View original SKILL.md file
# Shaping & Breadboarding

Structured methodology for defining problems, exploring solutions, and planning implementation. Based on [Shape Up](https://basecamp.com/shapeup) adapted for working with an LLM.

Source: [rjs/shaping-skills](https://github.com/rjs/shaping-skills) by [@rjs](https://github.com/rjs) (Ryan Singer, author of [Shape Up](https://basecamp.com/shapeup))

## Two Skills in One

**Shaping** — Iterate on problem (requirements) and solution (shapes) before committing to implementation. Separates what you need from how you might build it, with fit checks to see what's solved and what isn't.

**Breadboarding** — Map a system into UI affordances, code affordances, and wiring. Shows what users can do and how it works underneath in one view. Good for slicing into vertical scopes.

## When to Use

- Exploring a new feature or product direction
- Comparing solution approaches before building
- Mapping an existing system to understand where changes land
- Breaking a selected solution into vertical implementation slices
- Any "should we build X or Y?" discussion

## Entry Points

- **Start from R (Requirements)** — Describe the problem, pain points, constraints. Build up requirements and let shapes emerge.
- **Start from S (Shapes)** — Sketch a solution already in mind. Capture it as a shape and extract requirements as you go.

No required order. R and S inform each other throughout.

## Core Notation

| Level | Notation | Meaning | Relationship |
|-------|----------|---------|--------------|
| Requirements | R0, R1, R2... | Problem constraints | Members of set R |
| Shapes | A, B, C... | Solution options | Pick one from S |
| Components | C1, C2, C3... | Parts of a shape | Combine within shape |
| Alternatives | C3-A, C3-B... | Approaches to a component | Pick one per component |

## Phases

```
Shaping → Slicing
```

- **Shaping**: Explore problem/solution space, select and detail a shape
- **Slicing**: Break down for implementation into vertical slices with demo-able UI

## Key Actions

- **Populate R** — Gather requirements as they emerge
- **Sketch a shape** — Propose a high-level approach
- **Detail** — Break shape into components or concrete affordances
- **Check fit** — Build decision matrix (R × S), binary ✅/❌ only
- **Breadboard** — Map to UI/Code affordances with wiring
- **Spike** — Investigate unknowns
- **Slice** — Break breadboarded shape into vertical increments

## Detailed Reference

For the complete methodology, notation rules, examples, and procedures:

- **Shaping reference**: See [references/shaping.md](references/shaping.md) — Full shaping methodology including fit checks, parts, spikes, documents, multi-level consistency
- **Breadboarding reference**: See [references/breadboarding.md](references/breadboarding.md) — Complete breadboarding procedure, affordance tables, places, wiring, Mermaid conventions, chunking, slicing

Load the relevant reference when entering that phase of work.

## Quick Reference: Fit Check Format

```markdown
| Req | Requirement | Status | A | B | C |
|-----|-------------|--------|---|---|---|
| R0 | Full requirement text | Core goal | ✅ | ✅ | ✅ |
| R1 | Full requirement text | Must-have | ✅ | ❌ | ✅ |
```

- Always show full requirement text, never abbreviate
- Binary only: ✅ or ❌. No ⚠️ in fit checks
- Explanations go in Notes section below the table

## Quick Reference: Affordance Tables

**UI Affordances**: `# | Place | Component | Affordance | Control | Wires Out | Returns To`
**Code Affordances**: Same columns
**Controls**: click, type, call, observe, write, render
**Wires Out** (solid →): Control flow — calls, triggers, writes
**Returns To** (dashed -.->): Data flow — return values, reads

## Quick Reference: Slicing

- Every slice must end in **demo-able UI**
- Max 9 slices
- Each slice demonstrates a mechanism working
- Format: `V1: Name` — affordances, demo statement

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