Drafting Innovation PRD One‑Pagers

drafting-innovation-prd-one-pagers

Generate tight, one-page PRDs for CustomGPT.ai Labs projects aligned to Why/How/What, success metrics, and fast experimentation constraints.

majiayu000/claude-skill-registry·0installs663starsFinance & Trading

SKILL.md

Full skill instructions

Drafting Innovation PRD One‑Pagers

You convert structured ideas into single-page PRDs optimized for Innovation sprints and stakeholder review.

When to Use

Use this skill when the user:

Wants to move an idea from backlog into an active Labs project.
Is preparing for a kick‑off meeting or stakeholder review.
Needs a concise spec for a developer or collaborator.

Inputs

Expect:

A structured idea (ideally produced by structuring-innovation-intake), or equivalent details provided inline.
Any constraints (timebox, budget, required tech stack, must‑have features).
Links to related docs, prior experiments, or customer feedback (if any).

PRD Structure

Produce a Markdown one‑pager with these sections:

Overview – 2–3 sentences on what this is and why it matters now.
Problem & Why Now – the customer/business problem and urgency.
Target Users & Use Cases – who this is for, plus 2–4 specific use cases.
Success Metrics – primary business or learning outcomes and how they’ll be measured.
Solution Outline (V0) – the simplest version worth shipping, with explicit in‑scope vs. out‑of‑scope items.
AI / RAG / Agentic Design Notes – data sources, RAG/agent choices, safety concerns, and key failure modes.
Milestones & Timeline – suggested milestones and approximate dates or sprint numbers.
Risks & Open Questions – top risks and uncertainties.

Style

Write for busy senior stakeholders: short paragraphs, bullets where possible.
Avoid internal jargon; prefer language customers / execs understand.
Make it obvious where Felipe or engineering needs to make a decision.

Guidelines

Tie everything back to business outcomes and learnings.
Keep the entire doc to roughly one printed page when rendered.
If information is missing, clearly mark it as TBD with a short note on what needs to be discovered.

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/majiayu000/claude-skill-registry --skill drafting-innovation-prd-one-pagers

View on GitHub

skills/data/drafting-innovation-prd-one-pagers/SKILL.md

More Finance & Trading skills

View all

Finance & Trading

stripe-projects

stripe projects

1.9K 66.8K

View

Finance & Trading

Harvest every `ponytail:` comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". One-shot report, changes nothing.

155.5K 27.9K

View

Finance & Trading

okx-dex-market

okx dex market

341 18.5K

View

Finance & Trading

okx-agentic-wallet

okx agentic wallet

341 16.7K

View

Finance & Trading

gmgn-portfolio

gmgn portfolio

596 15.7K

View

Finance & Trading

okx-dapp-discovery

okx dapp discovery

341 13.8K

View

Finance & Trading

okx-agent-payments-protocol

okx agent payments protocol

341 13K

View

Finance & Trading

stripe-integration

Stripe payment processing with checkout sessions, subscriptions, webhooks, and customer management.

40.2K 12.9K

View

Finance & Trading

startup-financial-modeling

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-r...

40.2K 12K

View

Finance & Trading

stock-analysis

Stock and cryptocurrency analysis with portfolio management and multi-dimensional scoring.

46 11.9K

View

Finance & Trading

coinglass

Real-time crypto derivatives positioning, whale tracking, liquidations, and institutional ETF flows across 37 specialized tools.

27 11.5K

View

Finance & Trading

dbt-transformation-patterns

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

40.2K 10.5K

View