This is for building prompts that talk to other prompts. You give it a task and it generates a Claude prompt optimized for multi-stage workflows, where one prompt's output becomes another's input. It asks you whether you're researching, planning, doing, or refining, then creates structured prompts with XML metadata and creates a SUMMARY.md so you can scan results without reading full outputs. Everything lives in numbered folders under .prompts/ with dependency tracking. The workflow is thoughtful: it detects existing research or plans to chain from, asks clarifying questions based on your purpose, then gives you a decision tree for running the prompt immediately or editing first. Useful when you're orchestrating Claude pipelines instead of writing one-off prompts.

skills.sh installs
176
GitHub stars
2K
last updated
Aug 21, 2026

Install

$ npx -y skills add glittercowboy/taches-cc-resources --skill create-meta-prompts --agent claude-code

Installs into .claude/skills of the current project.

Files

Create prompts optimized for Claude-to-Claude communication in multi-stage workflows. Outputs are structured with XML and metadata for efficient parsing by subsequent prompts.

Every execution produces a SUMMARY.md for quick human scanning without reading full outputs.

Each prompt gets its own folder in .prompts/ with its output artifacts, enabling clear provenance and chain detection.

<quick_start>

  1. Intake: Determine purpose (Do/Plan/Research/Refine), gather requirements
  2. Chain detection: Check for existing research/plan files to reference
  3. Generate: Create prompt using purpose-specific patterns
  4. Save: Create folder in .prompts/{number}-{topic}-{purpose}/
  5. Present: Show decision tree for running
  6. Execute: Run prompt(s) with dependency-aware execution engine
  7. Summarize: Create SUMMARY.md for human scanning

Sponsors

Details

Repository
github.com/glittercowboy/taches-cc-resources
Categories
Data Science & ML, Productivity & Planning
First seen
Jun 3, 2026

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