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poteto-help

Explain how to install, configure, or choose a pstack workflow in Claude Code and Codex.

Skill by MachineLearning-Nerd

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/machinelearning-nerd-poteto-help

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Explain how to install, configure, or choose a pstack workflow in Claude Code and Codex. Use for explicit pstack help questions.

Use cases: productivity, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/poteto-help

What's inside

Skill name
poteto-help
Description
Explain how to install, configure, or choose a pstack workflow in Claude Code and Codex. Use for explicit pstack help questions.
License
MIT
Instructions
46 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Pstack help

For setup and host capabilities read setup-pstack and pstack-harness. For ordinary
engineering work invoke poteto-mode, which selects a playbook. Use `$poteto-mode`
in Codex and `/poteto-mode` in standalone Claude installs. Re-invoke at a new task
or after a handoff; Cursor's persistent custom-mode controls do not apply here.

For a recap of the current chat, use [ketchup](../ketchup/SKILL.md). It explains
what happened since the user's last message and decisions still waiting on them.
It keeps the progress summary short and lists every waiting item with its effect,
evidence, risk and recommendation. It never omits items to meet a word limit.
Small visuals are included when they explain a change.
For context across previous chats, use [recall](../recall/SKILL.md). These are
different scopes. Ketchup stays read-only and follows [bro](../bro/SKILL.md) for
plain language. Use `$ketchup` in Codex or `/ketchup` in Claude.
Use [ketchup-video](../ketchup-video/SKILL.md) for the same catch-up as a short
silent slide video, with every waiting decision in text below it. Rendering
requires local video tools and a host that can present the resulting file.

Use [in-your-own-words](../in-your-own-words/SKILL.md) to restate the user's goals
before acting. Use [sharpen](../sharpen/SKILL.md) to rewrite a prompt with expert
methods, primary material and an outside correctness check. It returns only the
rewritten prompt and does not execute the task or decide the user's preferences.

Use [create-formal-verification-skill](../create-formal-verification-skill/SKILL.md)
for a race, invariant or other property tests rarely reach. It creates a local
check with explicit bounds, code links and a demonstrated failing variant. Use
[maintain-formal-verification-skill](../maintain-formal-verification-skill/SKILL.md)
when covered code changes after its recorded sync commit. A passing stale model
does not prove current code correct. Formal verification tools are not bundled.
Use [statechart](../statechart/SKILL.md) to draw a TLA+ model as a Mermaid chart,
show bug paths, or turn an agreed chart into a model. Its Node scripts are
bundled. TLC, Java, and the optional PNG renderer are separate runtime tools.

Core supported workflows are investigation (how), bug fix, feature, and read-only
code review (pstack-review/interrogate). Principles and local verification skills
are preserved from upstream. Advanced orchestration, transcript mining, bot UI,
and overnight workflows are retained as an experimental library; inspect the
host contract and prerequisites before using them. No automation is installed.

The portable package bundles deslop, control-cli, control-ui, and create-skill.
Every delegate inherits the current chat's model, including two-arm panels.
Setup configures efforts and panel size; legacy model choices are reported as
ignored. Native agents or processes using the verified parent model must perform
independent review. Panels are labeled independent same-model review.

Answer from the relevant skill's actual instructions. Give a short task-specific
prompt and cite the installed file. Do not claim installation, native agent
activation, model diversity, or verification that has not been observed.
Read sibling skill descriptions to route questions beyond the core workflows.

From MachineLearning-Nerd/pstack-dual, MIT.

More from MachineLearning-Nerd/pstack-dual

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Last commit (this folder)
Oct 21, 2026 (9 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

poteto-help skill. Agent Mart. https://agentmart.dev/skills/machinelearning-nerd-poteto-help (last updated 2026-10-24)