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Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which…

Skill by luckenco

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/luckenco-how

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

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.

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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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  • codeload.github.com · found in install command

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  • ~/.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
36 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.

Use Pinnacle's `subagent` tool and choose each task's model. Each task is self-contained and names the question, paths, and its reference prompt. Give every task read-only tools: `["read", "grep", "find", "ls"]`.

## Step 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. One explainer explores and explains in a single pass. Go to Step 2b.
- **Complex** (a subsystem spanning multiple files or services, a cross-cutting feature, a full architectural overview): spawn parallel explorers first, then hand off to the explainer. Go to Step 2a.

When in doubt, take the simple path.

## Step 2a. Explore (complex questions only)

Decompose the question into 2 to 4 exploration angles, each a distinct slice of the subsystem. Launch one `subagent` parallel call with a `tasks` entry per angle, pointing each brief at `references/explorer-prompt.md`. Then go to Step 3.

## Step 2b. Direct Explain (simple questions)

Run one `subagent` task to explore and explain in one pass. Use `references/explainer-prompt.md` without the explorer-findings section. Go to Step 4.

## Step 3. Synthesize (complex questions only)

Once all explorers have returned, run one `subagent` task to synthesize their findings into one explanation. Build its prompt from `references/explainer-prompt.md` with every explorer's findings filled in. Report any failed explorer as a coverage gap, not a successful trace.

## 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 luckenco/pinnacle, MIT.

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Last commit (this folder)
Oct 15, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

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

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how skill. Agent Mart. https://agentmart.dev/skills/luckenco-how (last updated 2026-10-24)