setup
Skill0 starsChanged 30 days agoMITView on GitHub
Install findable, write a first findable.yaml for a website and check it with doctor. Use when the user asks to "set up", "install" or "get started with" findable, wants to audit a site for the first time, or when doctor fails.
- Installs packages
191 other projects use a version of this.
Adopted by
Most recently taken up by
- hydra-db/hydradb-claude-codetheir own version, first seen Nov 8, 2026
- WALKERKILLER/Look-Tongji-Notestheir own version, first seen Nov 8, 2026
- steerlabs/opensteertheir own version, first seen Nov 8, 2026
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- dsifry/metaswarmtheir own version, first seen Nov 8, 2026
- anombyte93/prd-taskmastertheir own version, first seen Nov 8, 2026
Used with
Projects with it also use add-voice-transcription, add-discord 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.
juancruzmunozalbeloSkilladd-voice-transcription
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
Also in 5 projects that use this
MicrosoftSkilladd-discord
Add Discord bot channel integration via Chat SDK.
Also in 11 projects that use this
MicrosoftSkilladd-slack
Add Slack channel integration via Chat SDK.
Also in 11 projects that use this
juancruzmunozalbeloSkilladd-telegram-swarm
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
Also in 7 projects that use this
- +8 more from microsoft
Other versions191 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 191
- anthropics/knowledge-work-plugins★ 35ksame name
- garrytan/gbrain★ 32ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- Q00/ouroboros★ 6.3ksame name
- pytorch/executorch★ 5.2ksame name
- agenticnotetaking/arscontexta★ 3.5ksame name
- aws/agent-toolkit-for-aws★ 3.4ksame name
- spotify/portal-ai-plugins★ 2.8ksame name
181 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 repository11 other files it gives its agents.
- ai-searchSkill
- content-planSkill
- croSkill
- internationalSkill
- launchSkill
- local-seoSkill
- measureSkill
- offsiteSkill
- plan-applySkill
- schemaSkill
- seo-auditSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 171 edited versions we read keep these.
0
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
- Very specific: line 16
Write findable.yaml next to the site, from findable.example.yaml.
- Very specific: line 23
Run findable audit and hand over to the seo-audit skill.
- Very specific: line 25
Never point write_dir at the build output: apply writes there, and the next build would wipe it.
“Common” is measured: kept by at least 6 in 10 of the 171 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
Set up
- Install:
brew install --cask zoolcoder/findable/findable, orgo install github.com/zoolcoder/findable/cmd/findable@latest. - Find out how the site is built. Read the build config (
package.jsonscripts,vite.config.*,astro.config.*,next.config.*,hugo.toml, ...) to learn:- the output directory (
dist,build,out,_site); - the static directory copied into it unchanged (
public/,static/): that iswrite_dir; - the public origin, from the canonical tags or the sitemap: that is
base_url, set only withpath; withurlleave it out, the crawled origin is the judged one; - the locales and which one has no URL prefix.
- the output directory (
- Write
findable.yamlnext to the site, fromfindable.example.yaml. One target per site:path(a built directory, checked offline) orurl(a live site, crawled).base_urlis required withpathand forbidden withurl. Preferpath: it is fast, repeatable and catches problems before they ship.noindex: the paths meant to stay out of search (admin, account, checkout). Ask the user; never guess that a page is meant to be hidden.schema: which structured data each kind of page must carry.ai_crawlers: leave it out until the user decides. Theai-searchskill covers that conversation.llms_txt: only when the site has no hand-writtenllms.txt. Apply would overwrite one.
- Build the site, then run
findable validateandfindable doctor. Fix everyfailline. - Run
findable auditand hand over to theseo-auditskill.
Never point write_dir at the build output: apply writes there, and the next build would wipe it. It is the source directory the build copies.
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.

