agentleFS
MasRamaMasRama/peka/skills/skill/SKILL.md

skill

Skill1 starsChanged 29 days agoMITView on GitHub

Save a procedure as a reusable PEKA skill, available in every project. Use when the user runs /peka:skill or asks to turn something they taught or just did (a deploy, a release, a fix) into a skill.

62 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use ai-slop-cleaner, ralplan 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.
  • Jurel89Skill

    ai-slop-cleaner

    Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode

    Also in 5 projects that use this

  • ibahgatSkill

    ralplan

    Create a strict, quality-first execution plan with explicit gates and rollback-ready sequencing.

    Also in 5 projects that use this

  • ibahgatSkill

    hud

    Control omi visual HUD profile and keep status output readable in normal, compact, or hidden mode.

    Also in 5 projects that use this

  • Jurel89Skill

    ultraqa

    QA cycling loop — build/lint/test, fix, retry up to 5 cycles

    Also in 3 projects that use this

  • LucasCooperBeySkill

    visual-verdict

    Structured visual QA verdict for screenshot-to-reference comparisons. Returns JSON scores driving edit iterations. Use after any UI implementation to verify visual fidelity.

    Also in 3 projects that use this

  • Yeachan-HeoSkill

    ultragoal

    Create and execute durable repo-native multi-goal plans over Codex goal mode artifacts.

    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, 2 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 45 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If that is empty, use the procedure the user just taught or the task you just finished together.

    line 13
  2. Very specific:

    If it says PEKA is not set up, tell the user to run /peka:setup and stop.

    line 22
  3. Very specific:

    Follow the instruction it prints: launch peka:learner with that prompt.

    line 23
  4. Distinctive:

    When it finishes, tell the user in one line which skill was created or updated.

    line 26
  5. Very specific:

    Do not write the skill yourself, and never into ~/.claude/skills.

    line 28

“Common” is measured: kept by at least 6 in 10 of the 45 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Save as a skill

What to turn into a skill: $ARGUMENTS

If that is empty, use the procedure the user just taught or the task you just finished together. If it is still unclear, ask one short question first.

  1. Run:

    node "${CLAUDE_PLUGIN_ROOT}/scripts/peka.mjs" learn --session "${CLAUDE_SESSION_ID}" --mode skill

    If it says PEKA is not set up, tell the user to run /peka:setup and stop.

  2. Follow the instruction it prints: launch peka:learner with that prompt. In the Request: line, put the user's words plus the concrete steps from this conversation: commands that worked, the order, what went wrong, and how you confirmed success.
  3. When it finishes, tell the user in one line which skill was created or updated.

Do not write the skill yourself, and never into ~/.claude/skills; the learner puts it in PEKA's store, where it is versioned, curated, and available everywhere.

Download now (ZIP)

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.