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/prd

/prd is the brainstorming surface for ideas that aren't yet specs. Use it when you have a vague idea, a problem statement without a solution, or just want to think out loud and have the agent pressure-test directions before committing to a plan. The conversation produces a Product Requirements Document (PRD) you can hand directly to /spec or /build.

# Claude Code
claude
> /prd "Add real-time notifications for team updates"
> /prd "We need better onboarding — users drop off after signup"
> /prd "Build an API for third-party integrations"

# Codex CLI
codex
> $prd "Add real-time notifications for team updates"
> $prd "We need better onboarding — users drop off after signup"
> $prd "Build an API for third-party integrations"

When to Use​

/prd chains into either structured workflow: it defines what and why when requirements are unclear, then hands off to /spec for how, in what order — or to /build for how good, measured against what.

SituationCommand
Idea is vague, requirements unclear/prd first, then /spec
Only have a problem statement, not a solution/prd
Want to brainstorm back-and-forth before deciding/prd
Multiple obviously-different shapes could satisfy the request/prd
Need to explore trade-offs and alternatives/prd
Want research on competitors or prior art/prd with Standard or Deep research
Requirements are well-defined/spec directly
Requirements are clear and the acceptance bar is a standard to beat/build directly
No PRD contract wantedAsk directly or use the agent's native planning/goal tools

Two Modes Inside One Flow​

/prd has two distinct conversational modes — divergent for generating ideas, convergent for locking them down:

  • Divergent (Ideate): Free-form prose. The agent pitches 3-5 distinct directions, you react ("yes that one, but…"), it pressure-tests viability and pitches the next round. No structured forms — this is where the riffing happens.
  • Convergent (Clarify → Converge → Write): Structured questions with predefined options (interactive forms on Claude Code; numbered plain-text on Codex). Used once the shape is known and you're nailing down details.

The skill picks the mode automatically based on how concrete your input is. A vague problem statement triggers Ideate; a concrete request like "Add Google OAuth" skips it.

Workflow​

Understand → Research (optional) → Ideate (if vague) → Clarify → Propose → Converge → Write PRD → Hand off to /spec

The entire flow is conversational — one question at a time, no rushing to solutions.

1. Understand the Idea​

Restates your idea, explores project context with CodeGraph (structure) and Semble (intent), identifies the core problem, and scope-checks — if the request describes multiple independent subsystems (e.g., "build a platform with chat, billing, and analytics"), helps you decompose into multiple PRDs before continuing. Doesn't jump to solutions.

2. Research (Optional)​

Choose a research tier at the start:

TierWhat It DoesBest For
QuickSkip research, go straight to brainstormingSimple ideas, well-understood domains
StandardLight in-session web search for competitors, prior art, best practices (5-10 queries)Most features — quick context gathering
DeepOn Claude Code, hands off to the dedicated deep-research skill — multi-angle search, source verification, and a cited report; on Codex, an in-session multi-angle passComplex domains, market research, technical exploration

Research findings are embedded in the PRD under a dedicated section.

2b. Ideate (Optional — Divergent Brainstorming)​

When the idea is vague, this step kicks in before structured questions. The agent pitches 3-5 distinct directions in plain prose:

A few directions for "better onboarding":

  • Reduce surface area — cut the signup form to email-only, defer the rest
  • Guided first-run — keep signup, add a 3-step tour after first login
  • Pre-fill from context — infer company/role from email domain
  • Async setup — let users start using the product, complete profile later

Which resonate, or where am I off?

You react in your own words. The agent pressure-tests your reaction (where does it break? what does it cost?), then pitches the next round shaped by your answer. Usually 1-3 rounds — the signal to converge is when you start saying "yes, and…" instead of "no, but…".

This step is skipped automatically when your input is concrete (e.g., "Add Google OAuth" — the agent won't pitch alternatives you didn't ask for).

3. Ask Clarifying Questions​

One question at a time with 2-4 options. Focuses on purpose, users, constraints, success criteria, and scope boundaries. Challenges assumptions and surfaces trade-offs. (Interactive forms on Claude Code; numbered plain-text on Codex.)

The skill works to an interaction budget of 2-4 prompts total across the whole flow. Before asking anything it checks whether the codebase already answers it, whether you already answered it, and whether the decision is reversible enough to just pick a sensible default and record it under Key Decisions. Ideation rounds are conversation, not prompts, and don't count against the budget.

If you start answering with "sure" or "you pick", the skill offers a defaults exit — it takes its recommended default for every remaining decision, records each under Key Decisions with the reasoning, and jumps to the written PRD for you to review. Correcting a default there is one edit; answering another question is another round-trip.

4. Propose Approaches​

Proposes 2-3 implementation approaches with clear trade-offs. Leads with a recommendation and explains why. Gets your choice before proceeding.

5. Converge on Scope​

States what's in scope, identifies core user flows step-by-step, and notes technical context for /spec. When the scope follows directly from the approach you picked — the common case — this is folded into the same prompt as step 4 rather than costing a second round-trip.

The out-of-scope list is proposed to you, not collected from you. The skill walks a checklist of adjacent capabilities — surface (mobile, extension, public API), access (SSO, roles, multi-tenancy), lifecycle (editing, history, undo, bulk actions), scale (search, pagination, import/export), money and comms (billing, quotas, notifications), AI features (model selection, per-user keys, streaming) — and proposes the two to six an implementer would plausibly build if the PRD stayed silent, each with a reason. You pull back anything you actually want. This is the section that stops scope creep during /spec, and it's the one nobody thinks to write unprompted.

6. Write PRD​

Saves a PRD to docs/prd/YYYY-MM-DD-<slug>.md with structured metadata and these sections:

SectionPurpose
Problem StatementWhat problem, for whom, why now — the north star
Core User FlowsStep-by-step from the user's perspective
ScopeIn scope / explicitly out of scope with reasoning
Technical ContextWhat already exists and what constrains the work — modules touched, patterns to follow, hard limits. Capped there on purpose: no invented function names, algorithms, or retry/caching strategy, since /spec re-derives those from the code and a guess here would anchor the plan to it
Key DecisionsTrade-offs made during the conversation with reasoning
Research FindingsEmbedded research results (when research tier was Standard or Deep)

After writing, the agent runs a 4-point self-review (placeholders, consistency, scope, ambiguity), then asks you to open the file in your editor and read it through before you confirm. If you request changes, it edits the specific sections in place — no full rewrite, so you don't lose your editor scroll position.

7. Hand Off to /spec​

After you confirm the PRD, asks whether to hand off to /spec (or $spec on Codex) or save it for later. Either way the skill prints the ready-to-run command with a reference to the PRD — it never invokes /spec for you. Starting the spec workflow is always your call; copy the command when you're ready.

PRD Output​

PRDs are saved to docs/prd/ — separate from /spec implementation plans in docs/plans/ and /build Buildouts in docs/builds/. Each workflow owns its own directory, which keeps requirements documents (the "what" and "why") distinct from technical specs (the "how") and from goal-driven builds.

Each PRD includes structured metadata: Created date, Author, Category, Status (Draft/Final), and Research tier used.

PRDs are visible in the Pilot Console under the Requirements tab, where you can browse, annotate, share, and archive them — the same experience as the Specifications tab.

Comparison with /spec​

Aspect/prd/spec
PurposeBrainstorm and define requirementsPlan and implement
OutputPRD (what and why)Implementation plan + code (how)
StyleConversational, divergent then convergentStructured, technical
Best fitVague ideas, problem statements, "I'm thinking…"Concrete requirements, "I need to build X"
ResearchOptional (Quick/Standard/Deep)No research phase
QuestionsOne at a time, exploratoryBatched, focused on design
WhenIdea stage, unclear requirementsReady to build
Duration5-15 minutes of conversationHours of automated work