Planning Patterns

Planning Patterns is an AI Engineering skill for Claude Code, published by a5c-ai in babysitter.

1.7K stars98 forkson a5c-ai/babysitterAdded 2026/08/12+1% in starsRepository updated 2026/08/11

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Install in seconds

Install Planning Patterns

Copy Planning Patterns into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cc10x/skills/planning-patterns ~/.claude/skills/planning-patterns

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/a5c-ai/babysitter.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: library/methodologies/cc10x/skills/planning-patterns/SKILL.md in a5c-ai/babysitter
Installs to: ~/.claude/skills/planning-patterns
Collection: One of 36 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Planning Patterns does

Planning Patterns provides a structured method for researching, brainstorming, and turning requests into phased plans. Use it before execution when you need alternatives, risks, acceptance criteria, and a handoff plan for building.

Planning Patterns is cataloged under AI Engineering on DirSkills. Planning Patterns comes from a repository tagged agent-orchestration, agent-skills, agentic-ai, agentic-workflow and ai-agents.

Documentation

README

Excerpt

Search for existing solutions and patterns
Identify relevant libraries and tools
Find best practices in the domain
Check for known pitfalls

2. Brainstorming Phase

Generate at least 3 alternative approaches
Evaluate trade-offs: complexity, time, risk, scalability
Consider build-vs-buy decisions
Rank by feasibility and alignment

3. Plan Creation

Structure with phases, tasks, and milestones
Define acceptance criteria per phase
Map dependencies between tasks
Include risk assessment with mitigations
Define TDD strategy per coding phase
Estimate effort and timeline

4. Review Gate

Verify completeness against original request
Validate logical phase ordering
Check actionability of risk mitigations
Score plan completeness (>=80 to pass)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Planning Patterns

What else does a5c-ai publish alongside Planning Patterns?
Planning Patterns is one of 36 skills that DirSkills catalogs from a5c-ai/babysitter, the repository it ships in. Its siblings there include Agent Dispatch, Architecture Design and Architecture Patterns. Each one is a separate skill with its own page in this directory, installs the same way Planning Patterns does, and is maintained by a5c-ai in that same repository. The rest of the collection is listed on the a5c-ai/babysitter page.
How does Planning Patterns compare to other AI Engineering skills?
Planning Patterns ranks #941 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Planning Patterns against them. Open each page to compare what they document and how they install.