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codealive-context-engine
Semantic search, grep, and Q&A across codebases and documentation indexed in CodeAlive. Use when the user mentions "CodeAlive", asks to list or get data sources, list indexed repositories, search code or docs across remote repos, fetch artifact content, or trace call graphs across repositories.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
// README
CodeAlive Skills
Agent skills and Claude Code plugin for CodeAlive — install via skills.sh or as a Claude Code plugin.
Available Skills
| Skill | Description |
|---|---|
| codealive-context-engine | Semantic code search and AI-powered codebase Q&A across indexed repositories |
Installation
Claude Code users: the recommended installation method is Option 2 (Plugin) — it includes the skill plus authentication hooks and a code exploration subagent.
Option 1: Skills (universal — 30+ agents)
Works with Cursor, GitHub Copilot, Windsurf, Gemini CLI, Codex, Goose, Amp, Roo Code, OpenCode, OpenClaw, and others.
npx skills add CodeAlive-AI/codealive-skills@codealive-context-engine
Or copy the skills/codealive-context-engine folder into your agent's skills directory:
| Agent | Project scope | User scope |
|---|---|---|
| Claude Code | .claude/skills/ | ~/.claude/skills/ |
| Cursor | .cursor/skills/ | ~/.cursor/skills/ |
| GitHub Copilot | .github/skills/ | ~/.copilot/skills/ |
| Windsurf | .windsurf/skills/ | ~/.codeium/windsurf/skills/ |
| Gemini CLI | .gemini/skills/ | ~/.gemini/skills/ |
| Codex | .codex/skills/ | ~/.codex/skills/ |
| Goose | .goose/skills/ | ~/.config/goose/skills/ |
| Amp | .agents/skills/ | ~/.config/agents/skills/ |
| Roo Code | .roo/skills/ | ~/.roo/skills/ |
| OpenCode | .opencode/skill/ | ~/.config/opencode/skill/ |
| OpenClaw | skills/ | ~/.openclaw/skills/ |
Option 2: Claude Code Plugin
For Claude Code users, this repository also serves as a plugin marketplace with Claude-specific enhancements.
/plugin marketplace add CodeAlive-AI/codealive-skills
/plugin install codealive@codealive-marketplace
Option 3: MCP Server
For deeper integration, install the CodeAlive MCP server — it gives your agent direct access to CodeAlive's tools via the Model Context Protocol. The skill and MCP server complement each other: the MCP server provides tool access, the skill teaches the agent how to use it effectively.
Option 4: Share the Claude Code plugin with another agent
If you already use the Claude Code plugin and want Codex CLI, Gemini CLI, or another skill-aware agent to consume the exact same skill files, install the plugin bridge — a tiny launchd agent (macOS) or systemd --user path unit (Linux) that keeps a symlink from the other agent's skills directory into the plugin's versioned cache. It re-links automatically on claude plugin update.
cd tools/plugin-bridge
./install-macos.sh
See tools/plugin-bridge/README.md for configuration and Linux instructions.
Setup
After installing the skill, run the interactive setup:
python setup.py
This will ask for your API key, verify it, and store it securely in your OS credential store.
API Key Storage
The API key is resolved in this order:
CODEALIVE_API_KEYenvironment variable- OS credential store:
| Platform | Store | Manual command |
|---|---|---|
| macOS | Keychain | security add-generic-password -a "$USER" -s "codealive-api-key" -w "KEY" |
| Linux | Secret Service | secret-tool store --label="CodeAlive API Key" service codealive-api-key |
| Windows | Credential Manager | cmdkey /generic:codealive-api-key /user:codealive /pass:"KEY" |
The key is stored once and shared across all agents on the same machine.
Self-hosted instance: set CODEALIVE_BASE_URL to your deployment origin, for example https://codealive.yourcompany.com. The setup script accepts both https://host and https://host/api, but the origin form is preferred.
Usage
Start your agent and ask naturally:
- "How is authentication implemented?"
- "Find the exact regex or string match for this token parser"
- "Show me error handling patterns across services"
- "Find similar features to guide my implementation"
- "Show me who calls this handler and what it depends on"
No special commands needed — the agent picks up the skill automatically.
To check the installed skill version without authentication or a network request:
python skills/codealive-context-engine/scripts/get_version.py
License
MIT
// HOW IT'S BUILT
KEY FILES