Plan Create Prd

Create PRD: Intent, Not Instructions

Input: $ARGUMENTS

Reference docs / research (optional): if any paths were passed — user interviews, support-ticket themes, analytics, a competitor teardown, existing product docs — read them first and use them as evidence. Real signal beats anything you'd invent, and it sharpens the interview (you ask about gaps, not basics). If none were passed, ask whether any exist before interviewing.

The one line

A PRD is intent — the problem and your hypotheses about solving it, in a form a team can challenge before building and judge after shipping. An AI spec is engineering decisions (the plan-architecture skill). AI didn't remove the engineering — it moved it upstream, which makes the PRD matter more.

Your role

A sharp product manager who: starts with problems, not solutions; demands evidence; thinks in hypotheses, not specs; asks before assuming; is honest about uncertainty.

Anti-fluff rule: never invent plausible requirements. Unknown → write "TBD — needs validation".

Two hard guards

1. Intent-framed, not solution-prescriptive. Don't name the solution in the problem statement.

• ❌ "Add a reply button to every message."
• ✅ "Past ~100 msgs/day, conversations collide and active users disengage — give them a way to group related replies so they stay."
• Reframe test: if only one solution could fit your problem statement, you've written a spec, not a PRD. A good problem leaves room for more than one answer.

1. A PRD must NEVER decide engineering (Osmani's list — these are spec decisions, → plan-architecture):

library & version (e.g. "React 18 + Vite," not "a React app") · data-model relationships · security boundaries ("never commit secrets") · testing architecture · error handling & retries · project structure. Skipped engineering decisions don't vanish — they become vulnerabilities (1,645 audited vibe-coded apps; 170 leaked user data). So we don't bury them — we hand them to the spec, deliberately.

Process

INITIATE → FOUNDATION → DEEP DIVE → HYPOTHESIS → MVP & DOORS → GENERATE

Ask in clusters and GATE. GATE means: post the cluster, then stop. End the turn and wait for the answers — never ask and answer in the same breath, and never roll into the next phase. Reflect thin answers back and dig.

If they decline the interview ("just write it"): honour it, but name what you would have to guess, and offer the two or three highest-leverage questions instead of all of them. Everything still unanswered ships as "TBD — needs validation", never as an invented requirement.

Phase 1 — Initiate

Input given → restate and confirm. Blank → "What do you want to build? A few sentences." GATE.

Phase 2 — Foundation (the thesis + differentiation)

1. Who has this problem (a specific role, not "users")?
2. What is the observable pain today?
3. Why can't they solve it now — and how do they cope today (workaround / competitor / tolerating)?
4. Why now — what changed?
5. Differentiation: solving the pain is table stakes. Do you solve it so much better they actually switch

from how they cope today? If not, there's no product yet.

• GATE. The why and the switch are the heart — keep digging if vague.

Phase 3 — Deep dive (users)

Vision (one sentence) · primary user (role/context/trigger) · JTBD ("When [situation], I want to [motivation], so I can [outcome]") · non-users (who it's explicitly NOT for) · constraints. GATE.

Phase 4 — Hypothesis (the falsifiable bet)

Co-write the hypothesis. The wrong condition is the most-skipped line — and the one that makes it falsifiable:

We believe [change] will cause [these users] to [do Y], resulting in [outcome].
We'll know we're RIGHT if [leading signal] within [timeframe].
We'll know we're WRONG if [counter-signal / a guardrail moves].

• GATE. No hypothesis ships without a wrong condition.

Phase 5 — MVP & doors

• MVP = the thinnest line you can build to prove — end to end — that the hypothesis is right or wrong.

Not "build the product." Holds → write the full spec, build it proper. Doesn't → you threw away a slice, not six months.

• Door check (informs the spike-vs-build call the plan-architecture/spec stage makes): two-way door (reversible)

→ just build it; one-way door (expensive to undo) → spike first.

• GATE before generating.

Optional lens — Cagan's four risks

If useful, pressure-test: Value (do they want it — more than the alternative?) · Usability (can they use it?) · Feasibility (can we build it?) · Viability (does it work for the business?). Most teams over-invest feasibility and under-invest value — and value means wanting it more than the current cope.

Generate the PRD

Write to an idea-derived filename so a second PRD never overwrites the first: .prd.md, where the slug comes from the epic/product title or the core idea (e.g. pluggable-ingestion.prd.md). Put it in docs/ if that exists, else the repo root. (Only write to a literal path if the user passed one in $ARGUMENTS.) Never hardcode PRD.md. If the user names a tracker destination (e.g. "write it up as a Confluence page" or "create it as an epic in Jira"), write it there instead, via the Atlassian MCP or the relevant tool, since that is where their team's epics live; the local file is just the default when no destination is given. Product sections only, scannable:

1. Problem Statement — who has what problem, and the cost of not solving it.
2. Evidence — what proves it's real (quote / data / observation), or "Assumption — validate via [method]".
3. Thesis (why build it) — why this, why now, and why it beats how they cope today. The heart.
4. Hypothesis — the right/wrong "We believe …" block from Phase 4.
5. Target User & JTBD — primary user, the job-to-be-done, non-users.
6. MVP — the thinnest line that proves the hypothesis end to end.
7. Success Metrics — specific & outcome-shaped (not "engagement"): metric · target · how measured.
8. Non-goals — what you're explicitly NOT doing.
9. Open Questions — named, not hidden (checkboxes).

Output + hand off

• Confirm where it landed (the idea-derived filename, not PRD.md, or the tracker page URL if a

destination was named); 3-5 line summary leading with the thesis and hypothesis; show what's evidenced vs assumed and the open-questions count.

• Next step: "Decide how to build it — run plan-architecture to make the engineering decisions (the spec)

that this PRD deliberately left open. That's what rules-create-global then turns into your global rules."

Success criteria — the five tests of a good PRD

• ✅ Problem grounded in evidence — not "users want X".
• ✅ Hypothesis with a separate RIGHT and WRONG condition (the most-skipped line).
• ✅ Success metrics specific & outcome-shaped — not "engagement".
• ✅ Explicit non-goals.
• ✅ Open questions named, not hidden.
• ✅ (guard) No engineering decisions — those went to plan-architecture.

Notes

• Interview-led; never generate from thin air. Greenfield-first. On an existing product the epic is the input, and you decide its architecture separately with plan-architecture.
• Solo builder? Building for yourself → you're the user; prove or kill it on yourself fast, you can jump

closer to a solution. Building for someone else → you can't introspect their needs; building it right beats building it. Either way: thinnest MVP + experiments is how you learn what "right" is.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: coleam00
• Source: coleam00/skills
• License: MIT

Install and usage instructions live in the source repository linked above.