agentleFS
spscreamspscream/ai-floppy/skills/init/SKILL.md

init

Skill2 starsChanged 2 months agoMITView on GitHub

Lay the floppy memory out in this repository — write .floppy/config, create the memory skeleton, gitignore the local scope, and point AGENTS.md at agent-memory. Idempotent, safe to run again. Use once per repository, when setting the plugin up for the first time, or when the user asks to init, set up, or bootstrap floppy here.

137 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use daily-arxiv, exp-eval and 10 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.
  • LambenthanSkill

    daily-arxiv

    每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新

    Also in 5 projects that use this

  • LambenthanSkill

    exp-eval

    实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges

    Also in 5 projects that use this

  • skyllwtSkill

    exp-pilot-eval

    Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.

    Also in 4 projects that use this

  • skyllwtSkill

    exp-pilot-run

    Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.

    Also in 4 projects that use this

  • gaebalaiSkill

    codex-system

    PROACTIVELY consult Codex CLI, your highly capable supporter with exceptional reasoning and task completion abilities. Codex is a trusted expert you should ALWAYS consult BEFORE making decisions on: design choices, implementation approaches, debugging strategies, refactoring plans, or any non-trivial problem. When uncertain, consult Codex. Don't hesitate - Codex provides better analysis. Explicit triggers: "think deeper", "analyze", "second opinion", "consult codex".

    Also in 3 projects that use this

  • +6 more from Lambenthan
  • +1 more from skyllwt

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 125 edited versions we read keep these.

  • 3

    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. Distinctive:

    Ask the human, in one short message, for:

    line 13
  2. Distinctive:

    Do not guess either value silently — a wrong memory directory is annoying to move later, and this only needs one short question.

    line 21
  3. Very specific:

    Before running it — this is the writing half, it lays files into --repo .

    line 26
  4. Very specific:

    If the base directory is genuinely not stated — a harness that does not print it — do not guess a cache path: say so and stop.

    line 51
  5. Distinctive:

    Read the script's own output back in short form: what was created, and what was already there and left untouched (the script says so per …

    line 59

“Common” is measured: kept by at least 6 in 10 of the 125 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

Init

A thin wrapper. All the work is in scripts/init.sh; this skill exists to ask the two questions the script cannot answer for itself, then run it.

1. Ask

Ask the human, in one short message, for:

  • the memory directory — where this repository's durable memory lives. Suggest .agent-memory if they have no reason to want something else.
  • the memory language — the language notes get written in. This is independent of the language the agent replies in (see agent-memory); suggest en if they have no preference.

Do not guess either value silently — a wrong memory directory is annoying to move later, and this only needs one short question.

2. Run the script

Before running it — this is the writing half, it lays files into --repo . — confirm that directory is the repository the human meant to set up. Several projects can be open in the same harness at once (Cursor especially), and the shell a skill runs in is not necessarily the one the human was talking about. One line naming it is enough.

The script is in the plugin, which is where this skill itself came from. The harness states this skill's own base directory when it loads it — Base directory for this skill: <plugin>/skills/init — so the plugin root is two directories above that, and the script is <plugin>/scripts/init.sh. Write that absolute path:

bash <plugin>/scripts/init.sh \
  --repo . --memory-dir <their answer> --language <their answer>

Until 0.26.0 this step carried a 33-line hand copy of the shim's six-way search for the plugin, on the grounds that init runs before the repository has anything that could do the finding. Measured 2026-09-22: the harness hands the path over in-band at skill load, so the root is two directories up from a string that is already on screen — no cache glob, no sort -V, no Cursor SHA ordering to get right. The copy had been wrong once before it was removed (four branches of six, for as long as it had existed; found 2026-09-09).

If the base directory is genuinely not stated — a harness that does not print it — do not guess a cache path: say so and stop. $CLAUDE_PLUGIN_ROOT and $CURSOR_PLUGIN_ROOT are worth trying first, and a checkout the human can name is worth asking for; both beat a search whose failure mode is running the wrong copy of the plugin.

3. Report

Read the script's own output back in short form: what was created, and what was already there and left untouched (the script says so per file). Running this again later, on the same repository, changes nothing — that's by design, not a limitation worth apologizing for.

Point out explicitly that quota.lock was not created — see agent-memory for why, and mention it will need a real measurement once there is a corpus worth measuring, not before.

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Your trail

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

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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.