# Engineering

> Orchestrate production software delivery through specification, repository intelligence, implementation, testing, security review, data operations, and release evidence. Use for substantial code changes that cross files, systems, or deployment boundaries.

- **Type:** Skill
- **Install:** `agentstack add skill-tikazi-tikaz-ai-skills-engineering`
- **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
- **Website:** https://tikazi.github.io/TIKAZ-AI-Skills/

## Install

```sh
agentstack add skill-tikazi-tikaz-ai-skills-engineering
```

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

## About

# Engineering

Designed, integrated, refactored, and continuously maintained by **TIKAZ**.

## TIKAZ method

1. Freeze scope, non-goals, acceptance criteria, and evidence required for completion.
2. Use `code-intelligence` to map architecture and impact before editing unfamiliar or cross-cutting code.
3. Use `engineering-delivery` as the lifecycle owner: plan small slices, implement, test, review, and report.
4. Route only domain-specific work to `supabase-operations` or `video-workbench`.
5. Run `skill-security-audit` before importing unfamiliar executable skills or dependencies.
6. Keep an evidence ledger: commands, results, artifacts, regressions checked, and remaining risk.

## Conflict rule

`code-intelligence` advises; `engineering-delivery` executes. Domain adapters cannot expand scope without explicit acceptance criteria.

## Completion gate

Require repository-native validation, final diff review, no leaked secrets, an explicit release/rollback note when applicable, and objective evidence for every acceptance criterion.

Read [references/routing.md](references/routing.md) and [references/output-contract.md](references/output-contract.md).

## 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-engineering
- 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%.