Agent skill

planning-design

Design technical architecture, select technology stack, and define implementation strategy from specifications and constitution constraints.

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/spec-kit/skills/planning-design

SKILL.md

Planning Design

Overview

Convert a specification into a concrete technical plan with architecture decisions, technology selections, implementation strategy, and risk assessment. All decisions must trace back to specification requirements and comply with constitution constraints.

When to Use

  • After specification is approved, before task decomposition
  • When evaluating technology stack options for a feature
  • When designing system architecture for new components
  • When assessing implementation risks and defining mitigations

Key Principle

Architecture decisions must be traceable to specification requirements. Technology choices must comply with constitution constraints. Trade-offs must be documented for every significant decision.

Process

  1. Assess technology stack - Evaluate options against constitution requirements
  2. Design architecture - Components, interfaces, data model, integration points
  3. Define strategy - Phases, milestones, testing strategy, deployment approach
  4. Assess risks - Identify risks and define mitigations
  5. Human review - Approve architecture and strategy before task breakdown

Tool Use

Invoke via babysitter process: methodologies/spec-kit/spec-kit-planning Full pipeline: methodologies/spec-kit/spec-kit-orchestrator

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results