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/spec-driven-development

Specification creation and management for the Pilot Shell methodology. Covers semantic search, clarifying questions, structured spec generation, and iterative refinement.

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babysitter
1.8k200 skills3 agents21 commands1 MCP
Install
$ npx -y skills add a5c-ai/babysitter --skill spec-driven-development --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/spec-driven-development

Context preview

The summary Claude sees to decide when to auto-load this skill.

Specification creation and management for the Pilot Shell methodology. Covers semantic search, clarifying questions, structured spec generation, and iterative refinement.

SKILL.md

spec-driven-development.SKILL.md
name: spec-driven-development
description: Specification creation and management for the Pilot Shell methodology. Covers semantic search, clarifying questions, structured spec generation, and iterative refinement.
allowed-tools: Bash(*) Read Write Edit Glob Grep
metadata:
  author: babysitter-sdk
  version: "1.0.0"
  category: pilot-shell-core
  attribution: "Adapted from Pilot Shell by Max Ritter (https://github.com/maxritter/pilot-shell)"
graph:
  domains: [domain:software-engineering]
  skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop]
  workflows: [workflow:feature-development]
  topics: [topic:developer-experience]
  roles: [role:tech-lead, role:backend-engineer]
  • Search for files and code related to the task description
  • Identify existing patterns that the spec should follow
  • Map the impact area of proposed changes
  • Generate SEARCH-CONTEXT.md with findings

2. Clarifying Question Resolution

  • Identify ambiguities in the task description
  • Generate targeted clarifying questions
  • Resolve assumptions with explicit choices
  • Document decisions for traceability

3. Spec Generation

  • Structure specs with: title, goals, tasks, acceptance criteria
  • Decompose into atomic, testable tasks
  • Define dependency graphs between tasks
  • Include rollback plans and risk assessments
  • Generate SPEC.md document

4. Iterative Refinement

  • Accept plan-reviewer feedback
  • Apply revision requests by severity
  • Refine task decomposition
  • Update acceptance criteria

Spec Structure

# Specification: [Title]

## Goals
- [ ] Goal 1 with measurable outcome

## Tasks
### Task 1: [Description]
- **Acceptance Criteria**: ...
- **Test Strategy**: RED->GREEN->REFACTOR
- **Complexity**: low/medium/high
- **Dependencies**: [task-ids]

## Assumptions
- Assumption 1 (validated: yes/no)

## Risks
- Risk 1: Mitigation strategy
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