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Understand Explain

  • 1.3k installs
  • 77.5k repo stars
  • Updated July 30, 2026
  • lum1104/understand-anything

understand-explain provides documented workflows for Use when you need a deep-dive explanation of a specific file, function, or module in the codebase

About

The understand-explain skill use when you need a deep-dive explanation of a specific file, function, or module in the codebase # /understand-explain Provide a thorough, in-depth explanation of a specific code component. ## Graph Structure Reference The knowledge graph JSON has this structure: - `project` - {name, description, languages, frameworks, analyzedAt, gitCommitHash} - `nodes[]` - each has {id, type, name, filePath?, summary, tags[], complexity, languageNotes?} - Code node types: file, function, class, module, concept - Non-code node types: config, document, service, table, endpoint, pipeline, schema, resource - Domain/knowledge node types: domain, flow, step, article, entity, topic, claim, source - IDs use the node type as prefix, e.g. `file:path`, `function:path:name`, `config:path`, `article:path` - `edges[]` - each has {source, target, type, direction, weight} - Key types: imports, contains, calls, depends_on, configures, documents, deploys, triggers, contains_flow, flow_step, related, cites - `layers[]` - each has {id, name, description, nodeIds[]} - `tour[]` - each has {order, title, description, nodeIds[]} ## How to Read Efficiently 1.

  • `project` - {name, description, languages, frameworks, analyzedAt, gitCommitHash}
  • `nodes[]` - each has {id, type, name, filePath?, summary, tags[], complexity, languageNotes?}
  • Code node types: file, function, class, module, concept
  • Non-code node types: config, document, service, table, endpoint, pipeline, schema, resource
  • Domain/knowledge node types: domain, flow, step, article, entity, topic, claim, source

Understand Explain by the numbers

  • 1,327 all-time installs (skills.sh)
  • +27 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #40 of 596 Debugging skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

understand-explain capabilities & compatibility

Capabilities
`project` {name, description, languages, frame · `nodes[]` each has {id, type, name, filepath?, · code node types: file, function, class, module, · non code node types: config, document, service, · domain/knowledge node types: domain, flow, step,
Use cases
documentation
From the docs

What understand-explain says it does

# /understand-explain Provide a thorough, in-depth explanation of a specific code component.
SKILL.md
Use Grep to search within the JSON for relevant entries BEFORE reading the full file 2.
SKILL.md
npx skills add https://github.com/lum1104/understand-anything --skill understand-explain

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Listed on Skillselion
Installs1.3k
repo stars77.5k
Security audit3 / 3 scanners passed
Last updatedJuly 30, 2026
Repositorylum1104/understand-anything

How do I use understand-explain for the task described in its SKILL.md triggers?

Use when you need a deep-dive explanation of a specific file, function, or module in the codebase

Who is it for?

Teams invoking understand-explain when the user request matches documented triggers and prerequisites.

Skip if: Skip when cached docs are missing, the request is a negative trigger, or another sibling skill owns the workflow.

When should I use this skill?

Use when you need a deep-dive explanation of a specific file, function, or module in the codebase

What you get

Step-by-step guidance grounded in understand-explain documentation and reference files.

  • structured component explanation

Files

SKILL.mdMarkdownGitHub ↗

/understand-explain

Provide a thorough, in-depth explanation of a specific code component.

Graph Structure Reference

The knowledge graph JSON has this structure:

  • project — {name, description, languages, frameworks, analyzedAt, gitCommitHash}
  • nodes[] — each has {id, type, name, filePath?, summary, tags[], complexity, languageNotes?}
  • Code node types: file, function, class, module, concept
  • Non-code node types: config, document, service, table, endpoint, pipeline, schema, resource
  • Domain/knowledge node types: domain, flow, step, article, entity, topic, claim, source
  • IDs use the node type as prefix, e.g. file:path, function:path:name, config:path, article:path
  • edges[] — each has {source, target, type, direction, weight}
  • Key types: imports, contains, calls, depends_on, configures, documents, deploys, triggers, contains_flow, flow_step, related, cites
  • layers[] — each has {id, name, description, nodeIds[]}
  • tour[] — each has {order, title, description, nodeIds[]}

How to Read Efficiently

1. Use Grep to search within the JSON for relevant entries BEFORE reading the full file 2. Only read sections you need — don't dump the entire graph into context 3. Node names and summaries are the most useful fields for understanding 4. Edges tell you how components connect — follow imports and calls for dependency chains

Instructions

1. Check that .understand-anything/knowledge-graph.json exists. If not, tell the user to run /understand first.

2. Find the target node — use Grep to search the knowledge graph for the component: "$ARGUMENTS"

  • For file paths (e.g., src/auth/login.ts): search for "filePath" matches
  • For function notation (e.g., src/auth/login.ts:verifyToken): search for the function name in "name" fields filtered by the file path
  • Note the exact node id, type, summary, tags, and complexity

3. Find all connected edges — Grep for the target node's ID in the edges section:

  • "source" matches → things this node calls/imports/depends on (outgoing)
  • "target" matches → things that call/import/depend on this node (incoming)
  • Note the connected node IDs and edge types

4. Read connected nodes — for each connected node ID from step 3, Grep for those IDs in the nodes section to get their name, summary, and type. This builds the component's neighborhood.

5. Identify the layer — Grep for the target node's ID in the "layers" section to find which architectural layer it belongs to and that layer's description.

6. Read the actual source file — Read the source file at the node's filePath for the deep-dive analysis.

7. Explain the component in context:

  • Its role in the architecture (which layer, why it exists)
  • Internal structure (functions, classes it contains — from contains edges)
  • External connections (what it imports, what calls it, what it depends on — from edges)
  • Data flow (inputs → processing → outputs — from source code)
  • Explain clearly, assuming the reader may not know the programming language
  • Highlight any patterns, idioms, or complexity worth understanding

Related skills

Forks & variants (1)

Understand Explain has 1 known copy in the catalog totaling 682 installs. They canonicalize to this original listing.

How it compares

Use understand-explain for one-component clarity; use broader architecture or graph-generation skills when mapping an entire system.

FAQ

What does understand-explain do?

Use when you need a deep-dive explanation of a specific file, function, or module in the codebase

When should I use understand-explain?

Use when you need a deep-dive explanation of a specific file, function, or module in the codebase

What are common prerequisites?

--- name: understand-explain description: Use when you need a deep-dive explanation of a specific file, function, or module in the codebase argument-hint: [file-path] --- # /understand-explain Provide a thorough, in-dept

Is Understand Explain safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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