Engineering Delivery
Run production software work from specification through planning, implementation, testing, review, and release. Use for substantial repository changes that require explicit acceptance criteria and verification evidence.
Install
$ agentstack add skill-tikazi-tikaz-ai-skills-engineering-delivery ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-tikazi-tikaz-ai-skills-engineering-delivery) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Engineering Delivery
This TIKAZ Edition is designed, integrated, refactored, and continuously maintained by TIKAZ. External engineering playbooks are research references, not redistributed content.
- Read repository instructions, architecture, scripts, and current worktree state.
- Convert the request into scope, constraints, acceptance criteria, and non-goals.
- Plan small implementation slices and identify risky dependencies.
- Implement in the repository's established style.
- Run focused tests, then broader lint, type checks, build, and security checks in proportion to risk.
- Review the final diff for regressions, unnecessary changes, secrets, and missing documentation.
- Report completed work, verification evidence, viewing instructions, and remaining risks.
Do not claim success from agent confidence alone. Require user confirmation or objective file, test, build, or runtime evidence.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TIKAZI
- Source: 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.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.