# Code Intelligence

> Understand repositories as systems: map code structure and semantic relationships, analyze change impact, review pull requests, and plan safe refactors. Use when a task involves unfamiliar codebases, dependency tracing, architecture mapping, PR review, or cross-file refactoring.

- **Type:** Skill
- **Install:** `agentstack add skill-tikazi-tikaz-ai-skills-code-intelligence`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [TIKAZI](https://agentstack.voostack.com/s/tikazi)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [TIKAZI](https://github.com/TIKAZI)
- **Source:** https://github.com/TIKAZI/TIKAZ-AI-Skills/tree/main/suites/engineering/code-intelligence
- **Website:** https://tikazi.github.io/TIKAZ-AI-Skills/

## Install

```sh
agentstack add skill-tikazi-tikaz-ai-skills-code-intelligence
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Code Intelligence

This public entry combines the local `代码-CodeGraph` and `代码-GitNexus` roles into one non-competing, clean-room workflow. This TIKAZ Edition is designed, integrated, refactored, and continuously maintained by **TIKAZ**.

## Workflow

1. Identify the repository, framework, entry points, tests, build commands, and local instructions.
2. Build a compact map of modules, symbols, imports, data flow, and public boundaries.
3. For a change, trace direct and indirect consumers before proposing edits.
4. For a PR, review correctness, regressions, security, tests, and maintainability; cite files and lines.
5. For a refactor, define invariants, migration steps, compatibility risks, and a rollback path.
6. Validate with repository-native tests, type checks, lint, build, and focused impact checks.

## Output

Return an evidence-backed architecture map, impact list, prioritized findings, implementation plan, and verification results. Separate observed facts, inferences, and recommendations.

## Source note

This role was written independently after studying the problem space. CodeGraph and GitNexus are research references only; no GitNexus code or documentation is distributed here.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [TIKAZI](https://github.com/TIKAZI)
- **Source:** [TIKAZI/TIKAZ-AI-Skills](https://github.com/TIKAZI/TIKAZ-AI-Skills)
- **License:** MIT
- **Homepage:** https://tikazi.github.io/TIKAZ-AI-Skills/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-tikazi-tikaz-ai-skills-code-intelligence
- Seller: https://agentstack.voostack.com/s/tikazi
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.