📋 Evidence Selfloop

This skill analyzes evidence artifacts and outputs an actionable upstream TODO plan to fix gaps and unblock writing.

QUICK INSTALL
npx playbooks add skill willoscar/research-units-pipeline-skills --skill evidence-selfloop

About Evidence Selfloop

Use Evidence Selfloop to configure Claude Code, Cursor, or Copilot for developer workflow: it this skill analyzes evidence artifacts and outputs an actionable upstream todo plan to fix gaps and unblock writing.

This compact 18-word instruction set is purpose-built for developer workflow work in AI coding agents. Install with a single command.

Use Cases

  • Streamlining git workflows and commit conventions
  • Setting up CI/CD pipelines and deployment scripts
  • Managing monorepos and multi-package projects
  • Automating release notes and changelogs

Example Prompts

Get started Help me use the Evidence Selfloop skill effectively.

System Prompt (18 words)

This skill analyzes evidence artifacts and outputs an actionable upstream TODO plan to fix gaps and unblock writing.

Frequently Asked Questions

What is Evidence Selfloop?

Evidence Selfloop is a free developer workflow skill for AI coding agents. This skill analyzes evidence artifacts and outputs an actionable upstream TODO plan to fix gaps and unblock writing.. It provides a specialized system prompt that configures your agent with developer workflow expertise.

How do I use Evidence Selfloop with Claude Code?

Run npx playbooks add skill willoscar/research-units-pipeline-skills --skill evidence-selfloop in your terminal to install Evidence Selfloop into your Claude Code session. It works immediately after installation.

Which AI coding agents work with Evidence Selfloop?

Evidence Selfloop is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.

Is Evidence Selfloop free to use?

Yes, Evidence Selfloop is completely free and open source. The full source is available on GitHub at https://github.com/willoscar/research-units-pipeline-skills/tree/main/.codex/skills/evidence-selfloop. You only need a subscription to the AI agent you use it with.

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