danjdewhurst/dotclaude/how
Claude Code and agent skill by danjdewhurst/dotclaude
- community
Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install danjdewhurst/dotclaude/howSKILL.md
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.
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:Explore(read-only)model:sonnet
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:general-purpose(the prompt keeps it read-only;Explorereads excerpts and is the wrong fit for a full explanation)model: omit, so it inherits the session's model
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:general-purpose(the prompt keeps it read-only;Explorereads excerpts and is the wrong fit for a full explanation)model: omit, so it inherits the session's model
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.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/how/SKILL.md
Popularity
- Repository stars
- 6
- 7-day trend score
- 10
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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