agentleFS
hailneedhailneed/devpersona/skills/stats/SKILL.md

stats

Skill2 starsChanged 2 months agoMITView on GitHub

Show quick numeric statistics about local coding-agent usage — sessions, prompts, tool calls, error counts, languages, top commands, and active hours per project, across Claude Code, Codex CLI and Gemini CLI. Use when the user asks how much they have used Claude Code or another coding agent, asks for usage stats or numbers, says "show my stats", "istatistiklerimi göster", "ne kadar kullanmışım", or runs /devpersona:stats. Numbers only, no interpretation — for the character profile use devpersona:analyze.

17 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use scan, start and 1 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.
  • rajnavakotiSkill

    scan

    Run the AI dashboard scanner and generate the HTML report.

    Also in 3 projects that use this

  • AnthropicSkill

    start

    Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

    Also in 4 projects that use this

  • VercelSkill

    setup

    Set up Vercel CLI and project configuration. Use when the user says "set up Vercel", "configure Vercel", "link to Vercel", or "vercel init".

    Also in 4 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 12 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Add --lang tr when the user is speaking Turkish.

    line 16
  2. Very specific:

    If node is missing, tell the user Node.js 18+ is required.

    line 19

“Common” is measured: kept by at least 6 in 10 of the 12 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

Quick stats

Show the numbers, nothing else. All local.

Language rule: respond in the language the user is speaking with you.

  1. Run:
    node "${CLAUDE_PLUGIN_ROOT}/scripts/scan.mjs" --md
    Add --lang tr when the user is speaking Turkish.
  2. Present the report as-is (it is already Markdown). You may bold one or two genuinely notable numbers, but do not editorialize beyond that.
  3. If node is missing, tell the user Node.js 18+ is required.
  4. Close with one line: /devpersona:analyze builds the full character profile from these numbers.

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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.