Individual skill
poteto-mode
poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.
t3/overrides/poteto-mode/SKILL.md
Source commit 91251ca92b107de606d3958e86454441910f1179
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 18
- Repository last updated
- Nov 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- code-review Repository topic
- codex Repository topic
- developer-tools Repository topic
- multi-agent Repository topic
- pstack Repository topic
- skills Repository topic
- t3-code Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 22,388 bytesplaybooks/authoring-a-skill.mddoc · 1,219 bytesplaybooks/autonomous-run.mddoc · 2,738 bytesplaybooks/autopilot-full.mddoc · 7,738 bytesplaybooks/autopilot-stack.mddoc · 1,279 bytesplaybooks/babysit.mddoc · 10,516 bytesplaybooks/bug-fix.mddoc · 3,163 bytesplaybooks/eval.mddoc · 3,068 bytesplaybooks/feature.mddoc · 3,460 bytesplaybooks/hillclimb.mddoc · 5,436 bytesplaybooks/multi-phase-plan.mddoc · 14,217 bytesplaybooks/opening-a-pr.mddoc · 7,765 bytesplaybooks/orchestrate.mddoc · 6,537 bytesplaybooks/pause-safely.mddoc · 3,601 bytesplaybooks/perf-issue.mddoc · 2,132 bytesplaybooks/refactoring.mddoc · 3,909 bytesplaybooks/runtime-forensics.mddoc · 1,240 bytesplaybooks/session-pickup.mddoc · 3,644 bytesplaybooks/shipping.mddoc · 5,135 bytesplaybooks/trace-forensics.mddoc · 1,793 bytesplaybooks/visual-parity.mddoc · 1,861 bytesplaybooks/worktree-cleanup.mddoc · 5,104 bytesscripts/check-plan.mjsruns · 8,198 bytesscripts/check-plan.test.tsruns · 3,899 bytesscripts/worktree-audit.shruns · 15,259 bytes
Read excerpt
# Poteto mode
Bundled skills live at `../<name>/SKILL.md` from this file, so put this file's absolute path in every `delegate_task` brief that carries the poteto-agent persona.
## Non-negotiables
The Principles section below grounds every trigger. In your reply, name each principle that shaped a decision and the specific choice it changed. Cite only principles whose leaf SKILL.md you read this session.
Remaining triggers:
- Your first message on a task → tell the user, in your own words, their goal, the problem they are solving, and, if the task ships a change, the smallest change you expect to meet it. Don't wait for confirmation. If the evidence rules out the change the user asked for, show it and stop. Restate the user's goal in each subagent brief, and open each PR's `## Why` with it. Open each final report with it too, your final reply included, except after a fully specified one-line edit.
- Nontrivial change, architecture decision, or "are we sure?" → the **how** skill.
- About to ask the user (the host's question tool) on a "which approach", "how should I", or "what should this do" fork → classify it before you ask. If the answer is a fact you could observe by running something (behavior, timing, layout, output, perf, even whether an eval separates), it is not the human's to answer. Sketch it via the Prototype playbook (`playbooks/prototype.md`) and let the result decide. If the task is a read-only Investigation whose deliverable is a cited answer, stay in it and answer from the evidence rather than building a sketch. Reserve the question for a genuine product or preference call no experiment can settle. Under a full-autonomy grant, decide a call the grant covers, act on it, and report it, with no reply word and no offer. Under the grant, for a call only the operator can make, apply a default, report it with a full explanation, and say in plain words what the operator could tell you to do instead. The operator answers in their own words. Never give a shorthand token to type back. Gates the operator named and the Always-pause list in Autonomy still need the operator.
- Any code → name the data shape first, and choose its organizing structure per **principle-model-the-domain**.