loop-me
Grill me about specs for the workflows I want to build, within this workspace.
Install / Use
npx skills add mattpocock/skills --skill loop-meInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of loop-me
loop-me scores 81/100 on our quality scale, 2449th of 2,888 Automation skills we index.
Its SKILL.md is 2.5 KB long, split into 4 sections and no code examples: a solid amount of guidance for an agent.
With 268,790 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 19 days ago, so loop-me is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
loop-me compared with similar skills
All 4 of these similar skills score higher than loop-me; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| loop-me (this skill)by mattpocock | 81 | 268.8k | 19d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 96.8k | 5d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 87.1k | today | MCP Server |
| rufloby ruvnet | 100 | 74.5k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 20d ago | SKILL.md |
Frequently asked questions
- How do I install loop-me?
- Run
npx skills add mattpocock/skills --skill loop-me. The install tabs above show the steps for each supported agent. - Which AI agents does loop-me work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is loop-me safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is loop-me still maintained?
- The repository was last updated 19 days ago, so loop-me is actively maintained.
Skill content
View source on GitHubname: loop-me description: Grill me about specs for the workflows I want to build, within this workspace. disable-model-invocation: true argument-hint: "A workflow to design, or nothing to go find one"
Run a stateful /grilling session whose only output is workflow specs. Use the grilling discipline (relentless, a round of questions at a time, a recommended answer attached to each) aimed at the vocabulary and goal below. Create, edit, and delete specs as the grilling resolves things.
The loop lens
A loop is a recurring pattern in the user's life: their career, their week, their morning, a single repeated activity. Picturing a life as loops within loops reveals how predictable its activities really are, which is what makes them worth delegating. Use the lens to find loops worth specifying, and propose ones the user hasn't noticed.
A workflow is the spec of one loop, made real. You run a workflow on a loop: the loop is its running instantiation. Workflows live in workflows/*.md and are the source of truth.
Vocabulary
A shared language, reached for only when a workflow calls for it: never a checklist. Mandate nothing structural: a workflow needs no AI, no checkpoint, and no schedule unless the grilling shows it does.
- Trigger: what fires each run, an event (a new email, a new issue) or a schedule (every morning). Event-triggering is usually the more efficient.
- Checkpoint: a human-in-the-loop point where the user is asked to verify or decide. Some workflows have none and run autonomously; some use no AI at all.
- Push right: defer the checkpoint as far as it will go. Do maximal work before involving the human, so they are asked once, late, with everything prepared.
- Brief: what a checkpoint presents, a tight, decision-ready summary (what was produced, why, and a link down to the asset itself), never the raw output. The user reads a brief, not a draft. Speed of review is imperative.
Definition of done
A workflow spec is done when an implementer agent could build it without asking a single question. Grill until then; nothing is done while a question remains.
The workspace
workflows/*.md: one spec per workflow.NOTES.md: raw notes on the user's world, the tools they use, the channels they process, and their own terminology for both. When it is empty or thin, interview them about their world before specifying anything. Sharpen fuzzy terms into canonical ones as they surface, and record them here.
Related Skills
Agent-Reach
96.8kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Scrapling
87.1k🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
ruflo
74.5k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
algorithmic-art
177.9kCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
