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Orient

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

Build comprehensive understanding of a codebase. Maps tech stack, architecture, entry points, and patterns. Use when starting work on an unfamiliar codebase or onboarding to a new project.From its SKILL.md

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

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 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.
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SKILL.md

2.6 KB, 586 tokens by cl100k_base, as published. Nobody here has run it

/orient — Codebase Proficiency

Build comprehensive understanding of the codebase before starting work.

Workflow

<workflow> Phase 1 - Project Identity: - Read AGENTS.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 organisation

Phase 4 - Synthesise:

  • Build mental model of how components connect
  • Identify the most important files to understand
  • Present orientation summary </workflow>

Process

Step 1: Read Project Documentation

cat AGENTS.md README.md 2>/dev/null
cat package.json pyproject.toml Cargo.toml go.mod 2>/dev/null | head -50

Step 2: Explore Structure

ls -la
ls -R src/ app/ lib/ 2>/dev/null | head -100
find . -maxdepth 3 -name "*.md" -o -name "main.*" -o -name "index.*" 2>/dev/null | head -20

Step 3: Understand Patterns

Read 2-3 representative files to understand code style, module structure, import patterns, and error handling.

Step 4: Deep Dive Key Areas

Use codebase search to understand the main entry point, core abstractions, and how components communicate.

Output

<output_format>

## Codebase: [project-name]

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

### 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 recognised
- [ ] Build process clear

</output_format>

Constraints

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

AVOID:

  • Superficial scanning without comprehension
  • Suggesting changes or improvements
  • 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 325,949. 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.