refinement-loop

📁 lexler/skill-factory 📅 13 days ago
3
总安装量
3
周安装量
#62720
全站排名
安装命令
npx skills add https://github.com/lexler/skill-factory --skill refinement-loop

Agent 安装分布

opencode 3
antigravity 3
claude-code 3
junie 3
github-copilot 3
goose 3

Skill 文档

Refinement Loop

STARTER_CHARACTER = 🔄

Iterative refinement through file artifacts. Each pass removes one layer of noise, revealing the next.

Setup

Ensure playground/ exists and is in .gitignore. All iteration files go there.

Process

1. Clarify Goal (if the user hasn’t defined it for you already earlier in the conversation)

Ask the user:

  • What are you refining and what is the goal of refinement?
  • Derive a short tag that we’ll use as filename for iterating: {goal}-{subject} (e.g., gist-nullables, simplify-api, distill-auth-docs)

2. Capture Starting Point

Write original to: playground/{goal}-{subject}-0.md

3. Iterate

Loop:

  1. Read back the current file (forces fresh perspective)
  2. Reflect critically: What’s missing? What’s weak? What could be clearer?
  3. If improvements found: Write improved version to playground/{goal}-{subject}-{N+1}.md, then loop again

Before Stopping – Exhaustive Check

When you think you’re done, you’re probably not. Run through this:

  1. List everything that could still be improved – even small things (formatting, word choice, structure, clarity)
  2. Consider what we haven’t considered – what angles did we miss? What would someone else notice?
  3. Try improving in a new direction – not just polishing what’s there, but questioning assumptions
  4. Read as if seeing it for the first time – does it immediately make sense? Is anything unclear?

Only stop when you’ve gone through this checklist extensively multiple times and genuinely found nothing. There is no “good enough” – someone will use this later and shouldn’t waste time on mediocre results.

4. Present Final

Show the user the final version with a brief summary of the refinement journey and number of iterations you used. If deeper issues or questions surfaced, present them to the user as well.

Principles

  • Read back forces fresh eyes: Reading from file breaks the “I just wrote this” blindness
  • No “good enough”: Every detail matters. Formatting, word choice, structure – all of it
  • Consider the unconsidered: What angles haven’t we explored? What would someone else see? Is there something that the user hasn’t even considered, too? (you can surface it as questions at the end)
  • Files force iterative improvement: Writing to files prevents “pretend” iteration in conversation. Real iteration gets to much better results.
  • Earn the stop: Run the exhaustive check. If you find nothing, you’ve earned stopping.