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
- naderelewa/Product-to-Prodtheir own version, first seen Nov 8, 2026
- ShahriarBijoy/show-me-howtheir own version, first seen Nov 8, 2026
- MMACABRE/SKILLStheir own version, first seen Nov 8, 2026
- BSSE23047/nauraiz-devtheir own version, first seen Nov 8, 2026
- edwinidrus/dragonhoardtheir own version, first seen Nov 8, 2026
- NilsHellwig/acl-paper-skillstheir own version, first seen Nov 8, 2026
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.
LambenthanSkilldaily-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
LambenthanSkillexp-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
skyllwtSkillexp-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
skyllwtSkillexp-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
gaebalaiSkillcodex-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
Other versions137 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 137
- microsoft/vscode★ 195ksame name
- mcollina/skills★ 2ksame name
- skyllwt/OmegaWiki★ 1.7ksame name
- DAIR-AutoResearch/AutoSci★ 1.7ksame name
- PKU-DAIR/AutoSci★ 1.7ksame name
- skyllwt/AutoSci★ 1.7ksame name
- TokenRollAI/cc-plugin★ 483same name
- pipecat-ai/gradient-bang★ 420same name
- AlexPEClub/ai-coding-starter-kit★ 382same name
- dannysmith/tauri-template★ 312same name
127 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agent-memorySkill
- consolidateSkill
- startSkill
- workstatusSkill
- wrapSkill
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
- Distinctive: line 13
Ask the human, in one short message, for:
- Distinctive: line 21
Do not guess either value silently — a wrong memory directory is annoying to move later, and this only needs one short question.
- Very specific: line 26
Before running it — this is the writing half, it lays files into --repo .
- Very specific: line 51
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.
- Distinctive: line 59
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 …
“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.
Files
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-memoryif 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); suggestenif 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.
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
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.

