find-loops

v2026.09.24

Search the agenticloops.dev directory for an existing agentic loop (a recurring, scheduled agent) and install it. Use when someone wants a repeating job run on a timer and one may already exist; to author a new LOOP.md use `loops`.

GitHub
安装命令
npx skhub add 5dive-ai/find-loops
Markdown
SKILL.md

Find Loops

This skill, or loops?

  • find-loops (this one) — SEARCH the agenticloops.dev directory and INSTALL an existing loop. The loop-level analogue of find-skills.
  • loops — AUTHOR or MODIFY a LOOP.md when nothing in the directory fits. The loop-level analogue of skill-creator.

Search first; author only when the search comes back empty.

Requests that land here even without the word "loop": "find a loop for X", "is there a loop that…", "install a recurring agent that does X", "schedule an agent to do X", a daily digest, a competitor watcher, a triage sweep, an every-morning report.

This skill helps you discover and install agentic loops from the open loops ecosystem — the loop-level analogue of find-skills.

An agentic loop is an installable, recurring AI agent defined in one file (a LOOP.md): a trigger (schedule/event), a set of skills, and a prompt. Any harness (Claude Code, Cursor, Codex, GitHub Actions, a 5dive runtime) can install and run it on a schedule. The standard lives at agenticloops.dev / github.com/5dive-ai/loops.

When to Use This Skill

Use this skill when the user:

  • Says "find a loop for X" or "is there a loop that does X"
  • Wants a recurring / scheduled agent for a job (hourly, daily, on an event)
  • Describes a repeating job without saying "loop": "email me a digest every morning", "watch our competitors", "triage new PRs each day", "run a security scan nightly", "check Y every hour"
  • Wants to browse or search the loops directory before building anything

Always try to find + install an existing loop before authoring a new one. If nothing fits, hand off to the loops skill (which covers authoring a fresh LOOP.md).

The loops CLI

The package manager for loops is npx agenticloops. On a 5dive runtime, the native path is 5dive loop.

Key commands:

  • npx agenticloops find [query] — search the agenticloops.dev directory
  • npx agenticloops install <owner/loop> --dry-run — validate + pre-flight, change nothing
  • npx agenticloops run <owner/loop> --harness=<id> — one live run to see it work (optional)
  • npx agenticloops install <owner/loop> --yes — register the recurring job
  • npx agenticloops list / npx agenticloops update [<slug>] — manage installed loops
  • Native on a 5dive box: 5dive loop find|show|install <slug> --onto=<agent> [--cron="…"]

Browse loops at: https://agenticloops.dev

How to Help Users Find a Loop

Step 1: Understand the Job

Identify:

  1. The job (competitive intel, PR triage, security scan, news digest, report pipeline)
  2. The cadence (hourly, daily, on an event)
  3. Whether it's a single-agent job or a pipeline (gather → draft → publish = a multi-agent loop)

Step 2: Search the Directory

npx agenticloops find <query>

Examples:

  • "watch our competitors" → npx agenticloops find competitive intel
  • "triage new PRs" → npx agenticloops find pr triage
  • "daily security scan" → npx agenticloops find security
  • "morning news digest" → npx agenticloops find news digest

Or browse agenticloops.dev directly (ci-analyst, intel-brief, autonomous-pr-loop, agentic-security-scanner, daily-news-radar, issue-triage-bot, …).

Step 3: Vet Before Recommending

A loop runs unattended on a schedule, so vet it harder than a one-shot skill:

  1. Proof, not popularity. The directory ranks on verifiable, signed run receipts, not stars — prefer a loop that emits receipts (proof it actually did the job).
  2. Read the requires block — the trust surface, listed before it runs: exactly which cli binaries, secrets (names only, never values), mcp servers, and network egress the loop touches. Confirm the user is comfortable with all of it.
  3. Source reputation — prefer official 5dive-ai/loops entries over an unknown author.
  4. Can the harness honor the trigger? A loop needs scheduling. A run-only harness (an IDE) can run it once but can't fire it on a timer — target a scheduler (5dive, GitHub Actions, cron). The installer warns otherwise.

Step 4: Present Options to the User

For each relevant loop, show:

  1. The loop name + what it does
  2. Its cadence and whether it emits run receipts (proof)
  3. Its requires trust surface (cli / secrets / mcp / network)
  4. The install command
  5. A link to learn more on agenticloops.dev

Step 5: Install (dry-run first)

npx agenticloops install <owner/loop> --dry-run   # validate + pre-flight, no changes
npx agenticloops run <owner/loop> --harness=<id>   # optional: one live run to see it work
npx agenticloops install <owner/loop> --yes        # register the recurring job
# native on a 5dive box:
5dive loop install <slug> --onto=<agent> [--cron="…"]

Supply any requires.secrets host-side at install (the installer prompts) — secrets are names in the file, never values. --harness auto-detects.

Step 6: When No Loop Fits

If the directory has nothing for the job:

  1. Say so honestly — no existing loop matched.
  2. Hand off to the loops skill, which covers authoring a new LOOP.md (the loop-level analogue of skill-creator). Don't hand-roll one here — find-loops is discovery + install; loops owns building.

Example:

I searched the loops directory for "xyz" but didn't find a matching recurring agent.
I can build you one — a LOOP.md that runs your job on a schedule. Want me to draft it?
(That uses the `loops` skill, which handles authoring.)

Tips

  1. Search the job, not the tool — find pr triage, not find github.
  2. Try alternative terms — if "deploy" misses, try "release" or "ci-cd".
  3. Prefer receipts + official sources — a loop runs on its own on a timer; trust matters more than for a one-shot skill.
  4. Confirm the harness can schedule before promising a recurring install.

Related: the fuller loops skill (find + install + build) and orchestrate (ad-hoc in-session multi-agent runs). find-loops is the lightweight discovery front door.

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版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

find-loops

默认分支

main

最新提交

b7c8363

Tree SHA

f9b5060