mcpField
H
how

how

github.com/xgent-aiDevelopment1104 installsUpdated 1d ago
Repository

About how

How is a skill for exploring a codebase and explaining how a module or subsystem works. It guides an AI agent to produce an architectural mental model suited to engineers onboarding to the code.

Key features

  1. 01Complexity assessment before exploration
  2. 02Parallel exploration for broad questions
  3. 03Single-pass explanation for narrow questions
  4. 04Model selection from pstack-models.mdc
  5. 05Structured architectural output

Use cases

  1. 01Understanding a function or small utility
  2. 02Onboarding to a multi-file subsystem
  3. 03Exploring a cross-cutting feature

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/xgent-ai/skills --skill how

After installing, type/howin Claude Code to confirm it loaded.

Bundled filesreferences/explainer-prompt.mdreferences/explorer-prompt.md

Details

From the project README

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.mdc rule and a default. Set model to that line's value, or to the default if the rule or the line is missing. Leave model unset when the value is auto or inherit-parent. If the Task tool rejects a slug, use the default and say so. If it rejects the default, use the closest valid slug of the same family from its error message.

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. Spawn all explorers in a single message:

  • subagent_type: generalPurpose
  • model: the how explorer line, default grok-4.7-xhigh-fast
  • readonly: true

Each explorer gets the prompt in references/explorer-prompt.md with its angle filled in. Then go to Step 3.

Step 2b. Direct Explain (simple questions)

Spawn one Task subagent that explores and explains in one pass:

  • subagent_type: generalPurpose
  • model: the how explainer line, default claude-opus-5-5-max
  • readonly: true

Build its prompt from references/explainer-prompt.md without the explorer-findings section. Go to Step 4.

Step 3. Synthesize (complex questions only)

Once all explorers have returned, spawn one Task subagent to synthesize their findings into one explanation:

  • subagent_type: generalPurpose
  • model: the how explainer line, default claude-opus-5-5-max
  • readonly: true

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.

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