Understand explain
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npx -y skills add Pdbjork/hermosskills-site --skill understand-explainAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
3 things to look at
- 29 days oldThe repository was created 29 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Use when you need a deep-dive explanation of a specific file, function, or module in the codebase
SKILL.md
3.3 KB, as published. Nobody here has run it
/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
- Use Grep to search within the JSON for relevant entries BEFORE reading the full file
- Only read sections you need — don't dump the entire graph into context
- Node names and summaries are the most useful fields for understanding
- Edges tell you how components connect — follow imports and calls for dependency chains
Instructions
-
Check that
.understand-anything/knowledge-graph.jsonexists. If not, tell the user to run/understandfirst. -
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, andcomplexity
- For file paths (e.g.,
-
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
-
Read connected nodes — for each connected node ID from step 3, Grep for those IDs in the nodes section to get their
name,summary, andtype. This builds the component's neighborhood. -
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. -
Read the actual source file — Read the source file at the node's
filePathfor the deep-dive analysis. -
Explain the component in context:
- Its role in the architecture (which layer, why it exists)
- Internal structure (functions, classes it contains — from
containsedges) - 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