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.
npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. - **Trust level needed** — can the user verify the output, or must it be near-perfect? ## Reads from / Writes to the Brain If a [`professional-brain`](../professional-brain/SKILL.md) exists, read `context.md` (product, users, voice) and `knowledge/strategy.md` first; write the feature to `entities/` and any scoping decision to `decisions/`, each provenance-tagged. ## Output Format ### AI Feature PRD: [feature] **1. Problem & why AI** — the user problem, and
- Required Inputs
- Reads from / Writes to the Brain
- Output Format
- AI Feature PRD: [feature]
- Quality Checks
- Anti-Patterns
- Based On
What does the ai-feature-prd skill do?
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.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-feature-prd --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.