AI Product Development
Design and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls.
- Repository
- sickn33/agentic-awesome-skills
- Stars
- 49,023
- Licence
- MIT
- Files
- 2 files
What it does
This skill gives an AI agent guidance for building features that use large language models inside a product. Once installed, the agent follows a documented approach to choosing when AI is worth using, comparing it against an evaluated baseline, designing retrieval (RAG), validating model outputs, and keeping latency and cost under control. The main instructions point to a longer reference guide that the agent is told to read before doing end-to-end work.
Great for
- Engineers building LLM-powered features who want structured design and evaluation advice
- Product teams deciding whether AI actually improves a user task and how to measure it
- People planning retrieval-augmented search or answer features and their cost trade-offs
Skip it if
- Simple one-off questions about AI, since the skill is aimed at building product features and the reference guide may be more than needed (low usefulness, not a risk)
- Work that must be validated in a specific production environment without expert review, because the skill itself says its output is not a substitute for testing or expert review
Try asking
- “Help me design a RAG pipeline for our internal support documents and tell me how to evaluate it”
- “Review this LLM feature plan and tell me whether AI beats a rule-based baseline for this task”
- “How should we validate structured JSON output from our model and handle failures?”
- “Estimate latency and cost controls for an AI summarization feature in our app”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 2 original files, the MIT licence and an attribution note.
ai-product.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip ai-product.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip ai-product.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- State your target user task and what success looks like so the agent can apply the evaluation guidance properly.
- Ask the agent to read the detailed guide for end-to-end work, and to load only relevant sections for focused questions.
- Treat the advice as a starting point and verify designs with your own tests and expert review before shipping.
What's inside
- references/detailed-guide.md
- SKILL.md
Redistributed unmodified from sickn33/agentic-awesome-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.