loom
Skill1 starsChanged 4 months agoMITView on GitHub
Work with the user's Loom recordings - list new ones, analyze a recording into an action plan, publish it to Notion/Drive, or run the whole pipeline. Use when the user mentions Loom, a recording, a meeting transcript, or asks for an action plan from a video.
- Reads credentials
8 other projects use a version of this.
Adopted by
Most recently taken up by
- loom-fun/loom-skillstheir own version, first seen Nov 8, 2026
- loombeading/loomtheir own version, first seen Nov 1, 2026
- Maxwell-FreeFOV/loomtheir own version, first seen Oct 25, 2026
- rainearcher/quivertheir own version, first seen Sep 14, 2026
- epicsagas/Veliththeir own version, first seen Sep 4, 2026
- Yassimba/loomtheir own version, first seen Aug 30, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- epicsagas/Velith★ 40same name
- Yassimba/loom★ 9same name
- Wondermonger-daydreaming/claude-skills-library★ 7same name
- jsuppe/loom★ 4same name
- loom-fun/loom-skills★ 4same name
- Maxwell-FreeFOV/loom★ 4same name
- loombeading/loom★ 0same name
- rainearcher/quiver★ 0same name
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.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
1
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
- Distinctive: line 16
No LLM API keys. The analysis step is done by you (the Claude session), not an SDK call.
- Very specific: line 19
All state lives in a stable per-user data dir (default ~/.loom-daddy, override with LOOM_DADDY_DATA_DIR): the Loom session, the …
- Very specific: line 34
All scripts run from the plugin root with the plugin's own dependencies and .env:
- Very specific: line 66
Run /loom-daddy:setup. The only hard requirement is a valid Loom session (/loom-daddy:loom-auth) plus a connected Notion MCP for publishing.
“Common” is measured: kept by at least 6 in 10 of the 5 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
Loom pipeline
This plugin turns the signed-in user's Loom recordings into reviewed action plans and publishes them to Notion (and optionally Google Drive). It runs entirely on the user's Claude subscription (no LLM API keys): Claude itself performs the analysis. Loom has no public API, so it drives an authenticated local browser session - this only works on the user's own machine.
Hard constraints
- Local only. The Loom session lives in a local browser storage state; nothing here can run on a remote/hosted agent.
- No LLM API keys. The analysis step is done by you (the Claude session), not an SDK call.
State location
All state lives in a stable per-user data dir (default ~/.loom-daddy, override with
LOOM_DADDY_DATA_DIR): the Loom session, the processed-ledger/watermark, artifacts, and a
small config.json (cached publish destination). It is independent of the plugin's versioned
cache dir, so it survives plugin upgrades. On startup, login/setup migrate an existing session
from the old layout automatically.
How the pieces fit
Scripts (no LLM) do the IO; you do the analysis across an artifact boundary in artifacts/:
download (script) -> analyze (YOU) -> publish (Notion MCP + Drive script)
<id>.transcript.json <id>.plan.json Notion page + optional Drive copy
<id>.meta.jsonAll scripts run from the plugin root with the plugin's own dependencies and .env:
cd "${CLAUDE_PLUGIN_ROOT}" && npx tsx --env-file-if-exists=.env scripts/<name>.ts <args>Commands (explicit)
/loom-daddy:setup- check session/data-dir/Notion-MCP/optional-Drive, guide first-time setup/loom-daddy:loom-auth- mint/refresh the Loom session (opens a browser; saves automatically)/loom-daddy:status- check whether the session is valid/loom-daddy:list- list recent recordings (new vs already processed)/loom-daddy:analyze <id>- fetch a transcript and produce an action plan in chat (read-only)/loom-daddy:render <id>- render a plan to markdown without publishing/loom-daddy:publish <id> [--to notion|drive|both]- publish a plan/loom-daddy:process- run the whole pipeline over all new recordings/loom-daddy:schedule install|remove|status- manage the local background poller
State rules (important)
analyzeis READ-ONLY: it never marks a recording processed, so the poller can still pick it up.publishmarks the recording processed (ledger) on a successful commit, so the poller will not republish a hand-published recording.processmarks each recording after publishing and advances the time watermark once per run.
Publishing
- Notion uses the connected Notion MCP in BOTH the interactive and the scheduled paths (a headless
claude -prun can reach the claude.ai Notion connector - verified). NoNOTION_TOKEN. The target database is resolved from a name you give once, then cached inconfig.json. The page mirrors the built-in layout: title = recording name; Summary; Decisions (timestamp links); Action Items (table: item, owner, priority, timeframe, source link); Open Questions. - Drive is OPTIONAL and uses the built-in publisher (service account). It is skipped silently when
DRIVE_FOLDER_ID/GOOGLE_APPLICATION_CREDENTIALSare unset.
Setup
Run /loom-daddy:setup. The only hard requirement is a valid Loom session
(/loom-daddy:loom-auth) plus a connected Notion MCP for publishing. No LLM API key. Optional env
(in ${CLAUDE_PLUGIN_ROOT}/.env): DRIVE_FOLDER_ID + GOOGLE_APPLICATION_CREDENTIALS to enable
Drive; LOOM_DADDY_DATA_DIR to relocate state; LOGIN_TIMEOUT_MS to extend the login wait.
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.

