AI Code Generation
Code generation with LLMs, code review automation, and AI pair programming.
Install
$ agentstack add skill-cgyudistira-agentkit-ai-code-generation ✓ 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.
About
AI Code Generation
Code generation with LLMs, code review automation, and AI pair programming.
When to Use
Use this skill when working on ai engineer tasks related to ai code generation.
Key Concepts
- Best Practices: Follow industry standards
- Implementation: Step-by-step guidance
- Examples: Real-world applications
Guidelines
- Start with understanding requirements
- Apply proven patterns
- Test and validate results
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: cgyudistira
- Source: cgyudistira/agentkit
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.