
Create Plans
Turns project briefs into executable plans optimized for Claude as the builder, not enterprise documentation. The core insight is smart: plans are prompts, not documents that get converted to prompts later. It enforces aggressive scope control because Claude's quality degrades around 40-50% context usage when it sees work piling up, not at 80% like you'd expect. Plans split into 2-3 task chunks with built-in deviation rules so bugs get auto-fixed without breaking flow. Heavy emphasis on CLI automation over manual checkpoints, milestone-driven shipping, and treating git history as your project timeline. Opinionated against team coordination overhead since you're planning for one person and one AI.
- skills.sh installs
- 200
- GitHub stars
- 2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add glittercowboy/taches-cc-resources --skill create-plans --agent claude-codeInstalls into .claude/skills of the current project.
Files
<essential_principles>
You are planning for ONE person (the user) and ONE implementer (Claude). No teams. No stakeholders. No ceremonies. No coordination overhead. The user is the visionary/product owner. Claude is the builder. PLAN.md is not a document that gets transformed into a prompt. PLAN.md IS the prompt. It contains: - Objective (what and why) - Context (@file references) - Tasks (type, files, action, verify, done, checkpoints) - Verification (overall checks) - Success criteria (measurable) - Output (SUMMARY.md specification)When planning a phase, you are writing the prompt that will execute it.
Plans must complete within ~50% of context usage to maintain consistent quality.The quality degradation curve:
- 0-30% context: Peak quality (comprehensive, thorough, no anxiety)
- 30-50% context: Good quality (engaged, manageable pressure)
- 50-70% context: Degrading quality (efficiency mode, compression)
- 70%+ context: Poor quality (self-lobotomization, rushed work)
Sponsors
Details
- Repository
- github.com/glittercowboy/taches-cc-resources
- Categories
- Documentation, AI & Agent Building, Productivity & Planning
- First seen
- Jun 3, 2026