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wagmarsouzawagmarsouza/trace-lesson/skills/self-improvement/SKILL.md

self-improvement

Skill0 starsChanged 10 days agoNo licenceView on GitHub

Retrieve verified local lessons before similar work and record reusable facts, diagnosed errors, or procedures after difficult investigations, user corrections, and explicit memory requests. Use when a lesson can prevent repeated work; do not log every response or promote hypotheses to rules.

33 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use skill-vetter, browser-use and 6 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.
  • LaoK2017Skill

    skill-vetter

    Security review and audit tool for AI agent skills. Use when asked to "vet a skill", "check skill security", "audit a skill", or when reviewing skills before installation to detect malicious code, unauthorized access, and suspicious patterns.

    Also in 3 projects that use this

  • Saik0sSkill

    browser-use

    AI-driven browser automation via Model Context Protocol

    Also in 3 projects that use this

  • VercelSkill

    agent-browser

    Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

    Also in 6 projects that use this

  • VercelSkill

    find-skills

    Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

    Also in 6 projects that use this

  • NVIDIASkill

    deep-research

    Queue deep, multi-step research and analysis tasks to the DeepAgents worker. Supports execution depth presets, request-specific rubrics, SubAgent delegation, and RubricMiddleware cross-validation.

    Also in 3 projects that use this

  • Microsoft AzureSkill

    humanizer

    Tone enforcement patterns for external-facing community responses

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 32 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 32 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

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No reviews yet

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  • It worked
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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.

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