codealive-context-engine
CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyon
Open source Repository Open in the app JSON README (API)
About
CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and get synthesized answers to architectural questions. Includes a lightweight code exploration subagent, authentication hooks, and multiple search modes (fast lexical, semantic, and deep cross-cutting).
Details
- Kind
- Plugins
- Topic
- Developer tools
- Publisher
- codealive-ai
- Origin
- marketplace
- Category
- ferramentas
- Stars
- 14
- Forks
- 1
- Last push
- 2026-08-05T15:40:29Z
- Repository state
- ativo
- Language
- Python
- License
- MIT
- Added
- 2026-08-30 01:48:58
- Updated
- 2026-08-30 01:48:58
- Origin id
codealive-ai/codealive-skills/codealive-context-engine
README
# CodeAlive Skills Agent skills and Claude Code plugin for [CodeAlive](https://app.codealive.ai) — install via [skills.sh](https://skills.sh/) or as a Claude Code plugin. ## Available Skills | Skill | Description | |-------|-------------| | [codealive-context-engine](skills/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)](#option-2-claude-code-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](https://agentskills.io/). ```bash 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](https://github.com/CodeAlive-AI/codealive-mcp) — 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](tools/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`. ```bash cd tools/plugin-bridge ./install-macos.sh ``` See [`tools/plugin-bridge/README.md`](tools/plugin-bridge/README.md) for configuration and Linux instructions. ## Setup After installing the skill, run the interactive setup: ```bash python setup.py ``` This will ask for your [API key](https://app.codealive.ai/settings/api-keys), verify it, and store it securely in your OS credential store. ### API Key Storage The API key is resolved in this order: 1. `CODEALIVE_API_KEY` environment variable 2. 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: ```bash python skills/codealive-context-engine/scripts/get_version.py ``` ## License MIT