universal-loop
Skill0 starsChanged 4 months agoMITView on GitHub
Use when a task changes something with a verifiable outcome — code, config, builds, scripts, deployments, data — even a one-line edit; the default engine for implementation work. Triggers: "fix", "implement", "add", "refactor", "make it work", "iterate", "loop this", "until it passes", "pataisyk", "sutvarkyk", "įgyvendink", "padaryk kad veiktų", "taisyk kol veiks", "kol veiks", "pats patikrink", "kartok kol", "taisyk iki galo", "dirbk kol". Also use when a check passed suspiciously fast or printed nothing at all. Not for pure research, answering questions, explaining concepts, reading code, or planning discussions — tasks with no runnable check.
In this repository9 other files it gives its agents.
- adversarial-verifySkill
- agent-fanoutSkill
- compounding-engineeringSkill
- deployment-checkSkill
- goal-contractSkill
- karpathy-guidelinesSkill
- recon-firstSkill
- two-strike-debugSkill
- writing-claude-mdSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 62
See it red first: Run the check *before* changing anything.
- Very specific: line 76
Absence of output is not a pass: Use command grep -a -c or rg --no-ignore and read the number — plain rg skips ignored paths and git grep …
- Distinctive: line 102
Run the checks. Capture actual output.
- Distinctive: line 117
All pass → Step 6. Any failure → Step 5.
≈ “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
Universal Loop (v2)
Triggers automatically; invoke directly with /universal-loop.
You are the iteration engine. A task is not done until its checks pass.
The verifier is the asset; the diff is disposable. You don't get faster by thinking harder about the fix — you get faster by shortening the time it takes to find out whether it worked. A weak check costs more than a slow one.
When to use
Any change with a runnable check — code, config, build, script, data, deployment — even a one-line edit. It scales down: a trivial edit is one pass and three lines of output.
Not for: research, questions, explanations, reading code, planning — there is nothing runnable to check.
Step 1 — Define done
Translate intent into runnable checks yourself — never ask the user how to verify.
SUCCESS CRITERIA:
[ ] <check> — verified by: <command/method>| Goal described as | Check with |
| "tests pass" / "build works" | run it, read output and exit code |
| "works on phone" / responsive | browser screenshot at 375px |
| UI or app behavior | launch it (/run), look at it |
| "endpoint returns 200" | curl -s -o /dev/null -w "%{http_code}" |
| "no errors in logs" | capture logs, grep -c, read the count |
| "nothing else broke" | diff behavior against the pre-change baseline |
| a subagent finished its part | read the diff it left — not its report |
| types / lint | tsc --noEmit, linter command |
Ambiguous goal → state your interpretation ("works" = build exits 0 AND tests pass). Criteria are then locked: changing one later requires stating why it was wrong — never a silent drop or weakening.
Step 2 — Arm the verifier (before writing the fix)
A check you have never seen fail is an assumption wearing a check's clothes.
- See it red first. Run the check before changing anything. It must fail now — the defect is still there. If it passes while the defect is still present, the check is broken, not the code: repair the check first. Red→green proves the check watches the right thing; green→green proves nothing. Exception: when producing the red state is itself destructive — production health checks, live data, external calls. Then say so in one line and name what the check therefore does not prove.
- Make it cheap and quiet. The narrowest check that can still fail for the real reason, with a quiet reporter — but the count or summary line must survive. Narrow check every iteration; full gate once before Step 6.
- No check exists → building one is the first unit of work. A reproducing test, a curl one-liner, a screenshot script. Everything downstream is only as trustworthy as this.
- Absence of output is not a pass. Use
command grep -a -corrg --no-ignoreand read the number — plainrgskips ignored paths andgit grepuntracked ones, and both report that as 0; in zsh readpipestatus, notPIPESTATUS. Blank output usually means the check never ran. - Third manual run → automate it. A check typed by hand a third time becomes a script or a hook (compounding-engineering §2).
Set the leash — autonomy is earned by the verifier, not by confidence:
| Verifier | Blast radius | Leash |
| strong (seen red, fast, deterministic) | reversible | closed-loop to the cap, report at the end |
| weak or unproven | reversible | closed-loop, but name the weakness in Step 6 |
| any | irreversible — migration, deploy, deletion, money/email/external call | checkpoint with the user for go/no-go before Step 3 |
Go/no-go authorization is the user's; how to verify stays yours.
Step 3 — Execute
Smallest reversible change that could move ONE check red→green — then go straight to Step 4. Don't batch changes and verify once at the end. If the goal needs several checks to move, that is several passes, not a bigger chunk.
Step 4 — Verify
Run the checks. Capture actual output. The signal must come from an external tool result — exit code, HTTP status, screenshot, log count, test runner. Re-reading your own diff is not verification; it shares the blind spots of the code that wrote it.
ITERATION 1 — RESULTS:
[✓] build — exit 0
[✗] tests — 2 failures: UserForm.test.tsx:47Multi-file, or touching auth / money / data: once green, have a fresh-context reviewer see only the diff and the criteria (compounding-engineering §4) and prove the behavior changed — not agree it looks right.
All pass → Step 6. Any failure → Step 5.
Step 5 — Loop
Diagnose before fixing. Read the failure output, state a hypothesis in one sentence, apply the fix, return to Step 4. Track the iteration number.
Stop, whichever hits first:
- The same check fails the same way twice → hand off to
two-strike-debug. A repeat means the diagnosis is wrong, not the fix. - 5 iterations, or the task's cost/time budget is spent.
On stopping, report what was tried, the exact failure output, your root-cause hypothesis, and 2–3 next-step options. Never continue silently.
Step 6 — Prove
✅ ALL CHECKS PASS — Iteration 2
[✓] build — exit 0 → "Successfully compiled"
[✓] tests — 34/34 → "Test Suites: 1 passed"
Not verified: staging deploy (no credentials); log check never seen red.Name what you did not verify, any check whose strength you doubt, and any
departure from the stated approach — a departure never applies to criteria,
leash or stop conditions. For app/UI changes, suggest the user run /verify.
Unverified-and-said-so is honest work; unverified-and-unmentioned is a false
claim.
Running unattended
/loop, /schedule and background runs need all four: idempotent step,
deterministic check (script or hook, not a judgment call), explicit stop
condition, bounded iterations. External side effects stay in-session.
A Stop hook running the Step 2 script is the deterministic gate. /goal is
typed by the user and its evaluator only reads the transcript: suggest it only
with a turn clause (or stop after N turns), and print the red→green output so
it can be judged. Neither replaces Step 2. Run /loop from a fresh session,
with the locked criteria written to a file first.
Anti-patterns — forbidden
- ✗ "Should work now" / "let me know if it works." → Verify it yourself.
- ✗ Trusting a check that has only ever been green.
- ✗ Reading blank output as a pass.
- ✗ Batching five changes, then verifying once.
- ✗ Taking a subagent's "done" as evidence.
- ✗ Weakening a failing check or editing assertions to match broken output — allowed only by stating why the CHECK, not the code, was wrong.
Related skills
- goal-contract — if a contract exists, Step 1 consumes its CHECKS as-is.
- recon-first — ground truth before Step 3 touches unfamiliar code.
- two-strike-debug — takes over when Step 5 sees a repeated failure.
- verification-before-completion — the one-shot gate when claiming done.
- adversarial-verify — filters the findings a Step 4 reviewer returns.
- compounding-engineering — §2 automates a thrice-run check; §4 is Step 4's fresh-eyes reviewer.
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