Zhuge Logistics Illustrator
Art-direct 16:9 Chinese logistics explainers with aligned process structures, short labels, restrained teal-green emphasis, a small guide character, source-aware claims, and publishing-size QA. Use for logistics education, supply-chain workflows, risk checks, comparisons, and operational knowledge cards.
Install
$ agentstack add skill-tikazi-tikaz-ai-skills-zhuge-logistics-illustrator ✓ 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-zhuge-logistics-illustrator) 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
Zhuge Logistics Illustrator
Designed, integrated, independently refactored, and continuously maintained by TIKAZ.
TIKAZ Edition
- Type: original domain illustration workflow; no upstream images or generator-specific assets are bundled.
- TIKAZ contribution: logistics claim decomposition, diagram grammar, alignment rules, character-summary role, source ledger, and factual/visual QA.
Workflow
- Identify the logistics concept, audience, decision or learning goal, and claims needing source verification.
- Select one diagram grammar: sequence, comparison, hub-and-spoke, layered system, risk checkpoint, or exception path.
- Write a shot card with nodes, arrows, hierarchy, exact Chinese labels, character summary, palette, source status, and alt text.
- Use a white 16:9 canvas, aligned peer nodes, restrained teal-green emphasis, and a small guide character only for the concluding explanation.
- Generate or draw with an available tool, then verify labels and domain facts against supplied or authoritative sources.
- Review at publishing size for reading order, alignment, edge meaning, contrast, cropping, factual accuracy, and accessible alternative text.
Do not turn an uncertain business claim into a definitive diagram. Mark assumptions and unresolved exceptions.
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.
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Versions
- v0.1.0 Imported from the upstream source.