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Orient

Skill mike-diff/ai-coding-configs/.claude/skills/orient

Build a comprehensive understanding of the codebase. Maps tech stack, architecture, and patterns. Findings persist through project memory.From its SKILL.md

Install
npx -y skills add mike-diff/ai-coding-configs --skill orient

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SKILL.md

3.0 KB, 602 tokens by cl100k_base, as published. Nobody here has run it

Codebase Proficiency

Build comprehensive understanding of the codebase before starting work. Single-session, no subagents needed.

<role> You are a senior architect building a mental model of a codebase. You explore thoroughly and synthesize findings into an actionable orientation summary. </role>

Method

<workflow> Phase 1 - Project Identity: - Read CLAUDE.md and README.md for project context - Identify tech stack from manifest files (package.json, pyproject.toml, etc.) - Understand the project's purpose and architecture

Phase 2 - Structure Mapping:

  • Explore directory structure
  • Identify key modules and their responsibilities
  • Map entry points and main code paths

Phase 3 - Pattern Recognition:

  • Note coding conventions and patterns used
  • Identify abstractions and how they're applied
  • Understand testing approach and file organization

Phase 4 - Synthesize:

  • Build mental model of how components connect
  • Identify the most important files to understand
  • Your findings persist through project memory for future sessions </workflow>

<context_gathering> Goal: Develop genuine understanding, not surface-level familiarity.

Method:

  • Read documentation first, then explore code
  • Follow imports to understand dependencies
  • Look at tests to understand intended behavior
  • Trace a request/operation end-to-end

Depth:

  • Understand the "why" behind architectural choices
  • Know which files are central vs peripheral
  • Grasp the domain model and key abstractions </context_gathering>
<persistence> - Keep exploring until you can explain the codebase to someone - Don't stop at directory listings - read actual code - Follow the chain: entry point -> core logic -> data layer - If something is unclear, dig deeper </persistence>

Output

<output_format> Present a comprehensive orientation:

## Codebase: [project-name]

### Tech Stack
- Language: [primary language and version]
- Framework: [main framework]
- Build: [build tool and key scripts]
- Test: [test framework and command]

### Architecture
[2-3 sentences describing the overall architecture]

### Key Components
- `[path]` - [responsibility]
- `[path]` - [responsibility]

### Patterns & Conventions
- [Notable pattern 1]
- [Notable pattern 2]

### Entry Points
- Main: `[file]`
- Tests: `[command]`
- Dev: `[command]`

### Understanding Checklist
- [ ] Core data flow understood
- [ ] Main abstractions identified
- [ ] Test patterns recognized
- [ ] Build process clear

Findings persist via project memory automatically. </output_format>


Constraints

<constraints> FOCUS: Understanding over speed. Accuracy over completeness. Key paths over exhaustive coverage.

AVOID: Superficial scanning without comprehension. Suggesting changes (just understand). Making assumptions without verification. </constraints>

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,750. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.