Individual skill
ai-feature-prd
Write a PRD for an AI-powered feature, covering the things normal PRDs miss. Use when asked to spec an AI/LLM feature, write a PRD for a feature that uses a model, or plan an AI capability (assistant, summarizer, generator, classifier). Produces an AI feature PRD — problem & UX of uncertainty, model approach, eval criteria, guardrails, fallback behaviour, the data flywheel, and cost/latency budget.
skills/ai-feature-prd/SKILL.md
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# AI Feature PRD Skill
AI features break the normal PRD because the system is probabilistic: it will be wrong sometimes, and
the product must be designed around that, not in denial of it. This skill extends a standard PRD with
the AI-specific sections that decide whether the feature is trustworthy — the UX of uncertainty, the
eval bar, guardrails, and what happens when the model is wrong.
## Required Inputs
Ask for these only if they aren't already provided:
- **The user problem** and why an AI/probabilistic approach fits it (vs. deterministic rules).
- **What "good" looks like** to the user, and the cost of a wrong answer (low-stakes vs. high-stakes).
- **Inputs available** — context/data the model can use; privacy constraints.