Skills for PRDs, roadmaps, user stories, product discovery and launch plans. Help your AI agent turn customer problems into specs your team can build.
111 skills · page 1 of 5
by ByAstroHub
Turn an app idea or existing repo into a PRD, UX/UI spec, MVP backlog of epics and user stories, and agent rules before Claude Code, Cursor or Codex writes code. Built for solo builders and vibe coders.
by Kevin Cline
Automatically decompose complex epics into structured sprint tasks with story points, AC, and dependency maps.
by Indy Agent
Claude Code skill for writing user stories with full Gherkin acceptance criteria, story splitting, and Jira-ready output.
by Joker
Product management across 7 product types. RICE prioritization, PRD frameworks, roadmap planning, A/B testing, data-driven decisions.
by Joker
Project management engine with methodology comparison (Scrum/Kanban/Waterfall/SAFe/Hybrid), project charter template, agile practices, risk management, retrospective SOP.
by Indy Agent
Turn sprint output into stakeholder communication — adapted for Team, Management, Executive, or External audiences.
Prüft Akzeptanzkriterien auf Klarheit, Testbarkeit und Vollständigkeit. Liefert priorisierte Lücken, Risiken und konkrete Verbesserungen für Produkt- und Projektteams.
by Indy Agent
Prioritize your backlog with RICE, MoSCoW, or Kano — framework selected based on your context.
by Indy Agent
Build Now / Next / Later roadmaps anchored to OKRs — every item linked to an outcome.
Evidence-driven product management tool for PRFAQs, PRDS, Discovery, JTBD, and Roadmap prioritization. Part of the Gnosis Technology Product Suite
Find the requirements engineering would otherwise be forced to guess. Audit a PRD or feature specification for ambiguity, hidden assumptions, missing acceptance criteria, unresolved dependencies, edge cases, scope gaps, proxy metrics, and decisions that have not actually been made. Use it before implementation starts — while fixing the specification is still cheaper than fixing the product.
by Indy Agent
Evaluate any feature request with structured scoring and a Build / Investigate / Defer / Decline decision.
by Al1as
Transform vague feedback and messy signals into rigorous, execution-ready technical specifications.
Produces a prioritized Now / Next / Later roadmap from a strategy, candidate initiatives, and team capacity — with promotion/kill criteria and dependency flags. Use when the user says "prioritize our roadmap", "help with quarterly planning", "what goes on the roadmap", "review our roadmap priorities", or "build a theme-based roadmap". Do not use when the request is turning a spec into individual tickets.
Turns a raw idea or an existing PRD into a proceed / descope / kill verdict, using isolated bull-case and bear-case reviews after you commit your own take first.
Turns a half-formed idea into a full PRD with problem statement, user needs, requirements, success metrics, and open questions. Use when the user says write a PRD, needs a product requirements document, wants to turn an idea into a spec, or is scoping a feature spec. Do not use when they want a design doc for already-approved requirements, not requirements discovery.
Produces a theme-based product roadmap organized Now / Next / Later, with quarterly OKR or outcome-based variants, from scattered goals and backlog items. Use when the user says "build our product roadmap", "turn this backlog into a roadmap", "create a now next later plan", "quarterly roadmap for stakeholders", or "prioritize our features". Do not use when the request is a single sprint plan.
Scores and ranks candidate features using RICE — reach from real data, impact anchoring, confidence ceilings, builder effort estimates — plus a sensitivity/flip analysis. Use when the user says score these features with RICE, prioritize backlog by RICE, run a RICE scoring session, or sensitivity-test our ranking. Do not use for a multi-framework prioritization comparing RICE, MoSCoW, and Kano.
Convert raw requirements into INVEST-compliant user stories and Gherkin acceptance criteria. Part of the Gnosis Technology Product Suite
by PromptWagon
Turns customer reviews, survey responses, support tickets, user interviews, sales notes, cancellation reasons, feature requests, and open-ended feedback into clear product themes, pain points, user needs, feature opportunities, priority insights, action lists, and stakeholder-ready feedback reports for product teams, founders, SaaS teams, ecommerce teams, agencies, and customer success teams.
by PromptWagon
Scores and prioritizes LLM and AI use cases by business value, effort, risk, data readiness, process readiness, implementation complexity, stakeholder fit, governance needs, and expected operational impact, helping businesses create practical AI adoption roadmaps instead of pursuing random experiments.
by Shandra
Transforms incomplete, vague, contradictory, or solution-biased requests into structured, decision-ready requirement packages. It identifies ambiguity, hidden assumptions, conflicts, missing actors, undefined business rules, scope gaps, data requirements, permissions, dependencies, edge cases, nonfunctional expectations, risks, and unresolved decisions. It produces prioritized clarification questions, measurable acceptance criteria, Given-When-Then scenarios, test cases, readiness assessments, and traceability records.
by 香意國際
Structure a repeatable, evidence-based pre-release review from supplied app, build, testing, store metadata, and operational details.
by mochalatte
Convert feature requests into structured PRDs with pain points, metrics, and MoSCoW prioritization.