resource-discovery
Resource Discovery Loop
Sweep committed sources and rotating queries each week, score candidates against the resource selection notes, and propose ready-to-merge entries for the curated library without publishing them.
Start here
Answer its questions; get a running loop with checks and an approval report. Works with Claude, Codex, Hermes, or any agent that can fetch a URL.
Fetch https://loopmaster-ai.pages.dev/skills/loopify/SKILL.md and follow it.
Interview me about the job I want to automate — one question at a time,
only what you can't infer from this conversation.
Do not schedule, publish, spend, request credential values, or make
destructive changes until I approve.For people who code with AI
A loop is an agent doing a recurring job — on a trigger, with checks that prove it worked, and a rule to stop and ask you before anything risky. Loopmaster gives you tested templates and a copy-paste start. It runs on its own loops, so you can see the whole thing working.
An AI loop is an agent running tools in a loop to achieve a goal. A model call is a part. A loop is the working system.
TRIGGER → CONTEXT → ACT → VERIFY → escalate?
what what the do the check repeat,
starts agent work against stop, or
it knows criteria ask a humanLoopmaster runs on the loops it publishes. Loops propose; checks run; people approve anything public-facing.
resource-discovery
Sweep committed sources and rotating queries each week, score candidates against the resource selection notes, and propose ready-to-merge entries for the curated library without publishing them.
link-check
Check Loopmaster documentation and resource URLs, update safe maintenance stamps, and escalate source updates.
content-freshness
Check repository content for stale pages, dead links, superseded claims, and missing ownership records, then propose source-backed updates without publishing rewrites automatically.
Short guides — read them when the question actually comes up.
The best writing on agents and loops — picked by hand, checked by this site's own loops.
Installable packs that help an agent choose a template, run checks, and stop at your approval gates.
authoring
Use when a human describes a manual workflow and needs Q&A intake plus a draft Loopmaster loop bundle: loop.yaml, README, AGENT-INSTALL.md, verify.sh, and catalog-entry instructions.
authoring
Use when an agent or human wants to deploy the research-watch Loopmaster template through cron, GitHub Actions, or agent-kanban and verify a running loop in one session.
Have a workflow you run by hand? Loopify turns it into a draft template.
For agents
llms.txt · registry/index.json · skills/index.json · spec · agent-guide
Start at llms.txt — it explains how this site works for agents. Three fetches reach any template manifest.