agentleFS
marc-ingmarc-ing/marc-skills/prompt-optimizer/SKILL.md

prompt-optimizer

Skill14 starsChanged 3 months agoNo licenceView on GitHub

把粗略想法或现有提示词改写成可直接发送给聊天模型的清晰提示词。用户要求优化、润色、重写提示词,或希望为某项任务准备可复用的模型指令时使用。

72 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use agent-architecture-audit, continuous-agent-loop and 9 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ronmkrSkill

    agent-architecture-audit

    Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature.

    Also in 3 projects that use this

  • junimnjwSkill

    continuous-agent-loop

    Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

    Also in 3 projects that use this

  • junimnjwSkill

    agent-harness-construction

    Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.

    Also in 3 projects that use this

  • get-proofpilotSkill

    context-budget

    Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.

    Also in 5 projects that use this

  • LangChainSkill

    docker-patterns

    Best practices for Docker containerization and multi-stage builds

    Also in 4 projects that use this

  • royaluniondesign-sysSkill

    deployment-patterns

    Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.

    Also in 3 projects that use this

The file

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.