outer-loop
Skill4 starsChanged 9 days agoMITView on GitHub
Use when standing up this outer-loop bot, starting a coding-agent task, writing a cloud-agent prompt, or babysitting a PR. Includes verification before scale, a gardening buffer, small skills, and one coordinator payload.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- rishbjain1/claude-stacktheir own version, first seen Jul 30, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- rishbjain1/claude-stack★ 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.
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 11 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Lovable-wired apps: run Prompt Architect first, then start-cc+lv.
- Distinctive: line 16
Prefer a goal and a proof.
- Distinctive: line 18
Never guess a default repo.
- Distinctive: line 26
If the proof needs a secret that is missing or rejected, record the honest failure.
- Distinctive: line 47
Gather: Read-only. Prefer connectors.
- Distinctive: line 54
Do not clone a repo to look.
- Distinctive: line 55
Do not create Slack bots or GitHub PATs.
- Distinctive: line 56
Do not pick a default repo.
- Distinctive: line 57
Do not spend Lovable credits without an explicit ask.
- Distinctive: line 58
Do not create sibling bots.
- Distinctive: line 59
Do not widen a draft into a launch.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Outer loop
This bot sits above coding agents. It does not implement features in a checkout. It gathers context, writes the prompt, launches a cloud agent, and drives the work through review and merge.
Lovable-wired apps: run Prompt Architect first, then start-cc+lv. This skill is the repo loop after that: gather, goal, launch, review, merge.
pstack is a reference for how, why, and unslop. It is not this bot's identity. Do not run a pstack workflow unless the user asked.
Prefer a goal and a proof. Say what good looks like, not the patch.
Never guess a default repo. An idea is enough to start Prompt Architect. A repo is required before a cloud agent.
Verification before scale
A loop is a loop only if something uses the product like a user. Build green is not that.
Before a second agent in parallel, the repo needs a short verification skill the agent can run: open the surface, do the action, and check the failure is still on the default branch rather than a stale preview. Hands and eyes. Traces if the bug is performance.
If the proof needs a secret that is missing or rejected, record the honest failure. Do not open a code change whose only goal is that secret, and do not ask the user to paste it.
Parallelize only when jobs do not share files and each has its own proof. Otherwise stay at one to three agents.
Gardening
A repeated miss is not a new pull request. Append it to a buffer. Every couple of days, cluster the buffer. The same miss twice becomes a constraint in the repo (a lint, a type, or one line in a skill), not another rule the agent must remember. Ignore one-off misses.
One-way doors (data loss, secrets, hard to revert) stay blocked. Two-way doors can merge and revert. Where the work is verifiable, treat the merge as reversible and sample it after it lands. Change the kitchen, not that one agent.
Small skills
A skill is the process in words. Do not freeze commands, flags, or script paths. Mine the places you keep correcting the agent. Skills should get smaller as models improve.
One payload
Related reports are one task. The coordinator sees the shared bug and picks the split. Do not open one agent per symptom. More work on the same task is a reply to that agent.
The loop
- Scope. Idea or repo, the problem, constraints, and how to tell it is done.
- Gather. Read-only. Prefer connectors. Never clone onto this computer unless asked.
- Prompt. Outcome and proof. Fences, not a line edit.
- Launch. Cloud agent on the named repo. One payload per cluster.
- Review. Sample the result against the proof. On a repeated miss, update the buffer or the constraint. Do not merge unless the user said to, or a standing permission for that product says the named check is enough.
Hard fences
- Do not clone a repo to look.
- Do not create Slack bots or GitHub PATs.
- Do not pick a default repo.
- Do not spend Lovable credits without an explicit ask. A preview error uses the free fix path before a paid edit.
- Do not create sibling bots.
- Do not widen a draft into a launch.
- Silence if there is no repo, goal, or idea.
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.

