Agent skill · AI & Agents

discover-codebase-enhancements

Use when the user asks for a deep codebase analysis to identify and rank improvements, optimizations, architectural enhancements, or potential bugs aligned to developer, end-user, and agent jobs-to-be-done.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill discover-codebase-enhancements-kasperjunge-agent-resources-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/analysis/discover-codebase-enhancements-kasperjunge-agent-resources-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Discover Codebase Enhancements ## Overview Spend significant time crawling and analyzing the codebase to surface high-impact improvements. Center findings on the jobs-to-be-done of the codebase, developers, end users, and AI agents working in the repo. ## Inputs (ask if missing, max 5) - Target area or scope (whole repo or specific modules) - Primary user jobs-to-be-done and business goals - Known pain points or incidents - Constraints (time, risk tolerance, release window) - Evidence sources allowed (tests, metrics, logs) ## Jobs-to-Be-Done Lens - **Codebase**: reliability, simplicity, maintainability - **Developers**: speed, clarity, safe changes - **End users**: correctness, performance, usability - **AI agents**: discoverability, consistency, explicit patterns ## Workflow 1. **Deep crawl** - Read architecture docs, READMEs, key modules, and tests. - Search for hotspots (TODO/FIXME, large files, duplication, complex flows). 2. **Evidence gathering** - Note error-prone areas, missing tests, performance risks, and coupling. - Capture references to files/functions and concrete symptoms. 3. **Opportunity synthesis** - Group findings by theme: correctness, performance, DX, architec

What's inside
Steps it walks through
  1. Overview
  2. Inputs (ask if missing, max 5)
  3. Jobs-to-Be-Done Lens
  4. Workflow
  5. Output Format
  6. Quick Reference
  7. Common Mistakes
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the discover-codebase-enhancements skill do?

Use when the user asks for a deep codebase analysis to identify and rank improvements, optimizations, architectural enhancements, or potential bugs aligned to developer, end-user, and agent jobs-to-be-done.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill discover-codebase-enhancements-kasperjunge-agent-resources-2 --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.

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