Aif Best Practices
CheckedEnsures AI/ML projects adhere to Lee-To's documented best practices for ethical development, performance, and maintainability.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add lee-to/ai-factory --skill aif-best-practices -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
lee-to
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned lee-to/ai-factory at ac92bebd9b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- ac92bebd9b
- Scanned
- 1 file, 263 lines
About this skill
What it does
This skill provides guidance and recommendations for improving AI agent performance. It helps users structure prompts effectively, avoid common pitfalls in prompt design, and generally optimize interactions with AI models. The goal is to increase the reliability and quality of responses generated by AI agents.
When to use it
- Prompt Engineering: When you're struggling to get the desired output from an AI agent and need help refining your prompts.
- Troubleshooting Agent Behavior: If an AI agent consistently produces unexpected or undesirable results, this skill can offer insights into potential issues.
- Improving Response Quality: To enhance the clarity, accuracy, and relevance of responses generated by AI agents across various tasks.
- Standardizing Prompts: When you need to ensure consistency in how prompts are structured for different users or applications.
Key capabilities
- Prompt structuring guidance
- Pitfall avoidance recommendations
- Response quality optimization techniques
- Consistency enforcement
Example prompts
- "Analyze this prompt: 'Write a short story about a cat.' and suggest improvements."
- "What are some common pitfalls to avoid when prompting an AI for creative writing?"
- "How can I structure my prompts to ensure the AI agent provides more accurate information?"
Tips & gotchas
This skill assumes you have a basic understanding of how AI agents work. While it offers guidance, ultimately successful implementation depends on careful consideration of your specific use case and experimentation with different prompting strategies.