Agent skill · Design & Presentation

codealive-context-engine

Semantic code search and AI-powered codebase Q&A across indexed repositories. Use when understanding code beyond local files, exploring dependencies, discovering cross-project patterns, planning features, debugging, or onboarding. Queries like "How does X work?", "Show me Y patterns", "How is library Z used?". Provides search (fast, returns file locations) and chat-with-codebase (slower, costs more, but returns synthesized answers).

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill codealive-context-engine --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/codealive-context-engine/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

# CodeAlive Context Engine Semantic code intelligence across your entire code ecosystem — current project, organizational repos, dependencies, and any indexed codebase. ## Table of Contents - [Tools Overview](#tools-overview) - [When to Use](#when-to-use) - [Quick Start](#quick-start) - [Tool Reference](#tool-reference) - [Data Sources](#data-sources) - [Configuration](#configuration) ## Tools Overview | Tool | Script | Speed | Cost | Best For | |------|--------|-------|------|----------| | **List Data Sources** | `datasources.py` | Instant | Free | Discovering indexed repos and workspaces | | **Search** | `search.py` | Fast | Low | Finding code locations, file paths, snippets | | **Chat with Codebase** | `chat.py` | Slow | High | Synthesized answers, architectural explanations | | **Explore** | `explore.py` | Slow | High | Multi-step discovery workflows | **Cost guidance:** Search is lightweight and should be the default starting point. Chat with Codebase invokes an LLM on the server side, making it significantly more expensive per call — use it when you need a synthesized, ready-to-use answer rather than raw search results. ## When to Use **Use this skill for semantic understandi

What's inside
Steps it walks through
  1. Table of Contents
  2. Tools Overview
  3. When to Use
  4. Quick Start
  5. 1. Discover what's indexed
  6. 2. Search for code (fast, cheap)
  7. 3. Chat with codebase (slower, richer answers)
  8. 4. Multi-step exploration
  9. Tool Reference
  10. datasources.py — List Data Sources
  11. search.py — Semantic Code Search
  12. chat.py — Chat with Codebase
  13. explore.py — Smart Exploration
  14. Data Sources
Ships with 1 file
  • metadata.json
Commands it runs
python scripts/datasources.py
python scripts/search.py "JWT token validation" my-backend
python scripts/search.py "error handling patterns" workspace:platform-team --mode deep
python scripts/chat.py "Explain the authentication flow" my-backend
python scripts/chat.py "What about security considerations?" --continue CONV_ID
python scripts/explore.py "understand:user authentication" my-backend
python scripts/explore.py "debug:slow database queries" my-service
python scripts/datasources.py              # Ready-to-use sources
python scripts/datasources.py --all        # All (including processing)
python scripts/datasources.py --json       # JSON output
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About this skill
What does the codealive-context-engine skill do?

Semantic code search and AI-powered codebase Q&A across indexed repositories. Use when understanding code beyond local files, exploring dependencies, discovering cross-project patterns, planning features, debugging, or onboarding. Queries like "How does X work?", "Show me Y patterns", "How is library Z used?". Provides search (fast, returns file locations) and chat-with-codebase (slower, costs more, but returns synthesized answers).

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill codealive-context-engine --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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