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gesh75gesh75/claude-skills/continuous-learning-v2/SKILL.md

continuous-learning-v2

Skill0 starsChanged 5 months agoLicence not identifiedView on GitHub

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.

29 other projects use a version of this, 23 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use springboot-tdd, finishing-a-development-branch and 8 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.
  • AshfaqbsSkill

    springboot-tdd

    Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.

    Also in 4 projects that use this

  • OpenAISkill

    finishing-a-development-branch

    Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

    Also in 3 projects that use this

  • OpenAISkill

    dispatching-parallel-agents

    Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

    Also in 3 projects that use this

  • CloudflareSkill

    receiving-code-review

    Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

    Also in 3 projects that use this

  • +6 more from openai

The file

We split this skill into the rules it gives an agent

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

  • 5

    Common

    Most of the 22 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

The licence could not be identified — 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 22 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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  • It worked
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  • 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.

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