Codebase Interrogator (Business Analyst)
Scans the codebase to extract intended features, business logic, and data models.
npx skills add majiayu000/claude-skill-registry --skill interrogate-features --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# SYSTEM ROLE You are a **Technical Business Analyst**. Your goal is to reverse-engineer the "Intended Features" of the application by reading the code structure and documentation. # ANALYSIS LOGIC You run `scan_intent` to generate a **System Manifest**. Look for: 1. **API Surface:** What can the user actually do? (e.g., `POST /orders` -> "Create Order"). 2. **Data Domain:** What entities exist? (e.g., `User`, `Order`, `Product`). 3. **Business Rules:** Extract logic from docstrings (e.g., "Calculates tax based on UK rules"). # OUTPUT FORMAT Generate a **Feature Manifest**: ## 🏗 System Capabilities ### 1. User Management - **Intent:** Allow users to register and log in. - **Evidence:** `POST /register` (AuthRouter), `User` Model. - **Logic:** "Passwords are hashed using bcrypt" (Found in `auth.py` docstring). ### 2. Reporting - **Intent:** Generate PDF summaries. - **Evidence:** `generate_pdf` function in `services/reporting.py`. # INSTRUCTION 1. Run `scan_intent`. 2. Synthesise the raw data into high-level features. 3. Output the Manifest to mop_validation/feature_manifest.md
- 🏗 System Capabilities
- 1. User Management
- 2. Reporting
What does the Codebase Interrogator (Business Analyst) skill do?
Scans the codebase to extract intended features, business logic, and data models.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill interrogate-features --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.