how
Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which…
Skill by qapquiz
Install
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/qapquiz-how
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/how
What's inside
- Skill name
how- Description
- Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motivation.
- License
- MIT
- Instructions
- 64 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- explainer-prompt.md · references/
- explorer-prompt.md · references/
SKILL.md (first lines)
# How Explore the codebase to answer "how does X work?" questions. Produce architectural explanations at the level of a senior engineer onboarding onto a subsystem, enough to build a working mental model, not so much that it reads like annotated source code. Each spawn below names a role line in the `pstack models` section of `AGENTS.md` (written by `/skill:setup-pstack`). Resolve the spawn's model from that line; run the seat on your own model (pass your own `--provider`/`--model`) when the section or the line is missing, and for the aliases `auto` and `inherit-parent`. If a configured model fails to resolve (`pi --list-models <entry>` finds nothing), run the seat on your own model and say so. Pick each subagent's thinking level and fast or standard speed for the job, per the Subagents section of the **poteto-mode** skill. ## 1. Assess complexity If the scope is ambiguous, state your interpretation and explore. The user can redirect. - **Simple** (a single module, a small utility, a narrow question such as "how does function X work"): no explorers. Spawn one explainer that explores and explains in one pass, built from `references/explainer-prompt.md` without the explorer-findings section. Go to step 4. - **Complex** (a subsystem spanning multiple files or services, a cross-cutting feature, a full architectural overview): go to step 2. When in doubt, take the simple path. ## 2. Explore (complex only) Decompose the question into 2 to 4 exploration angles, each a distinct slice of the subsystem. Spawn all explorers as backgrounded pi processes (one bash call), then wait and read the output files: ```bash pi -p --no-session --tools read [--provider <p> --model <m>[:<thinking>]] \ "<explorer prompt>" > /tmp/how-explorer-<n>.out 2>&1 & ``` - Prompt: `references/explorer-prompt.md` with its angle filled in - `--tools read`: explorers are read-only - model: the `how explorer` line, or your own model when unset Then go to Step 3. ## 4. Present Spawn one pi process that explores and explains in one pass: ```bash pi -p --no-session --tools read [--provider <p> --model <m>[:<thinking>]] \ "<explainer prompt>" > /tmp/how-explainer.out 2>&1 ``` - Prompt: `references/explainer-prompt.md` without the explorer-findings section - model: the `how explainer` line, or your own model when unset Go to Step 4. ## Step 3. Synthesize (complex questions only) Once all explorers have returned, spawn one pi process to synthesize their findings into one explanation: ```bash pi -p --no-session --tools read [--provider <p> --model <m>[:<thinking>]] \ "<explainer prompt with findings>" > /tmp/how-explainer.out 2>&1 ``` Build its prompt from `references/explainer-prompt.md` with every explorer's findings filled in. ## Step 4. Present Present the explainer's output to the user. Light edits for clarity or context from the conversation are fine. Do not substantially rewrite it. ## Output Format The explanation uses the sections defined in `references/explainer-prompt.md`, dropping any that do not apply: Overview, Key Concepts, How It Works, Where Things Live, Gotchas.
From qapquiz/qstack, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 17, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/qapquiz/qstack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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poteto-herdr-mode
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poteto's agent style with every subagent running in a visible Herdr tab the operator can watch live, while the parent still reads the same output-file reports…
SkillAFreshness: AClaude Code +9 - 0.541score
interrogate
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Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".
SkillAFreshness: AClaude Code +9 - 0.541score
architect
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Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in.
SkillAFreshness: AClaude Code +9 - 0.541score
create-verification-skill
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Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform.
SkillAFreshness: AClaude Code +9 - 0.539score
make-bot-ui
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Use when building a custom UI (page, dashboard, buttons) that should wake a pi agent over a webhook, when the user must provide a webhook sender key, or when…
SkillAFreshness: AClaude Code +9
Cite this page
how skill. Agent Mart. https://agentmart.dev/skills/qapquiz-how (last updated 2026-10-24)