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pstack-teach

Explain a body of work plainly so a person actually understands it.

Skill by gutierrezje

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/gutierrezje-pstack-teach

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 a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'.

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Permissions

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

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/pstack-teach

What's inside

Skill name
pstack-teach
Description
Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'.
License
MIT
Instructions
11 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# Pstack teach

1. Run `$how` to establish current mechanics and `$why` to recover rationale when relevant.
2. Choose the smallest set of concepts the learner needs to form a correct mental model.
3. Explain from user-visible behavior inward, one layer at a time. Use a diagram only when it materially clarifies flow or ownership.
4. Ground each layer in code, runtime evidence, or cited history. Separate fact, inference, and analogy.
5. End with a compact recap and one check-for-understanding question or exercise.

Completion means the learner can predict one non-obvious behavior from the model without rereading the implementation.

From gutierrezje/jstack, MIT.

More from gutierrezje/jstack

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Last commit (this folder)
Oct 4, 2026 (28 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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pstack-teach skill. Agent Mart. https://agentmart.dev/skills/gutierrezje-pstack-teach (last updated 2026-10-24)