ai-product — Claude Code skill: what it does, how to install
Helps plan and assess LLM features, retrieval, validated outputs, latency, and cost controls. Use it when an AI feature needs comparison against an evaluated baseline.
npx skills add sickn33/agentic-awesome-skills --skill ai-product -a claude-codeWhat ai-product does
This skill covers LLM integration patterns, retrieval-augmented generation architecture, scalable prompt design, trusted AI UX, latency, and cost controls. It frames AI as an option to assess against the target user task and an evaluated baseline.
Read references/detailed-guide.md before using the skill. You can load relevant sections for focused work, while end-to-end work calls for the full guide. That is a reason to plan environment-specific validation before acting on its output.
Use the skill only for work that fits its scope. When required inputs, permissions, safety boundaries, or success criteria are missing, it should ask for clarification; its output does not replace testing or expert review.
What it helps with
- compare an AI feature with an evaluated baseline
- design a retrieval-augmented generation architecture
- define validated output requirements
- account for model latency and cost controls
- set success criteria for an LLM feature
Example prompts for the agent
- "Design an LLM feature and compare it with an evaluated baseline."
- "Plan a retrieval-augmented generation architecture for this feature."
- "Define validated outputs, latency constraints, and cost controls for this LLM workflow."
How to install ai-product
1Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill ai-product -a claude-code2Manually: put the files in place
~/.claude/skills/ai-product/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/ai-product/
1Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill ai-product -a codex2Manually: put the files in place
.agents/skills/ai-product/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill ai-product -a cursor2Manually: put the files in place
.cursor/skills/ai-product/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install sickn33/agentic-awesome-skills ai-product2Manually: put the files in place
.github/skills/ai-product/SKILL.md1Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill ai-product -a gemini-cli2Platform CLI
gemini skills install https://github.com/sickn33/agentic-awesome-skills --path skills/ai-productManually: put the files in place
.devin/skills/ai-product/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add sickn33/agentic-awesome-skills --skill ai-product -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about ai-product
How do I install ai-product in Claude Code?
Run npx skills add sickn33/agentic-awesome-skills --skill ai-product -a claude-code, then run npx skills add sickn33/agentic-awesome-skills --skill ai-product -a claude-code again. The skill file is at ~/.claude/skills/ai-product/SKILL.md.
What does ai-product do?
It guides work on LLM product features, retrieval architecture, prompt design, trusted AI UX, latency, and cost controls. It also calls for comparing AI with an evaluated baseline for the target task.
Does ai-product replace testing or expert review?
No. Its output is not a substitute for environment-specific validation, testing, or expert review. It asks for clarification when key inputs, permissions, safety boundaries, or success criteria are missing.
Source text
SKILL.md · MIT
--- name: ai-product description: "Design and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls." risk: safe source: vibeship-spawner-skills (Apache 2.0) date_added: 2026-02-27 --- # AI Product Development Choose AI only when it improves the target user task against an evaluated baseline. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. ## Detailed Guide Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely. ## When to Use Use this skill when the request clearly matches the capabilities and patterns described above. ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
© sickn33 · MIT · sickn33/agentic-awesome-skills
