This skill analyzes evidence artifacts and outputs an actionable upstream TODO plan to fix gaps and unblock writing.
npx playbooks add skill willoscar/research-units-pipeline-skills --skill 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.
This skill analyzes evidence artifacts and outputs an actionable upstream TODO plan to fix gaps and unblock writing.
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.
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.
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.
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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