/understand-onboard
Generate a comprehensive onboarding guide from the project's knowledge graph.
Best use case
/understand-onboard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate a comprehensive onboarding guide from the project's knowledge graph.
Teams using /understand-onboard should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/understand-onboard/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How /understand-onboard Compares
| Feature / Agent | /understand-onboard | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate a comprehensive onboarding guide from the project's knowledge graph.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# /understand-onboard
Generate a comprehensive onboarding guide from the project's knowledge graph.
## 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?}
- Node types: file, function, class, module, concept
- IDs: `file:path`, `func:path:name`, `class:path:name`
- `edges[]` — each has {source, target, type, direction, weight}
- Key types: imports, contains, calls, depends_on
- `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. **Read project metadata** — use Grep or Read with a line limit to extract the `"project"` section (name, description, languages, frameworks).
3. **Read layers** — Grep for `"layers"` to get the full layers array. These define the architecture and will structure the guide.
4. **Read the tour** — Grep for `"tour"` to get the guided walkthrough steps. These provide the recommended learning path.
5. **Read file-level nodes only** — use Grep to find nodes with `"type": "file"` in the knowledge graph. Skip function-level and class-level nodes to keep the guide high-level. Extract each file node's `name`, `filePath`, `summary`, and `complexity`.
6. **Identify complexity hotspots** — from the file-level nodes, find those with the highest `complexity` values. These are areas new developers should approach carefully.
7. **Generate the onboarding guide** with these sections:
- **Project Overview**: name, languages, frameworks, description (from project metadata)
- **Architecture Layers**: each layer's name, description, and key files (from layers + file nodes)
- **Key Concepts**: important patterns and design decisions (from node summaries and tags)
- **Guided Tour**: step-by-step walkthrough (from the tour section)
- **File Map**: what each key file does (from file-level nodes, organized by layer)
- **Complexity Hotspots**: areas to approach carefully (from complexity values)
8. Format as clean markdown
9. Offer to save the guide to `docs/ONBOARDING.md` in the project
10. Suggest the user commit it to the repo for the teamRelated Skills
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