Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, customer interview synthesis, and Voice of Customer analysis across Jira, Slack, and NPS.
Brainstorm product ideas or experiments from PM, Designer, and Engineer perspectives — for existing or new products
Run a full product discovery cycle — from ideation through assumption mapping to experiment design
Prepare a customer interview script or summarize an interview transcript into structured insights
Design a product metrics dashboard with North Star metric, input metrics, health metrics, and alert thresholds
Analyze, categorize, and prioritize a batch of feature requests from customers or stakeholders
Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.
Brainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints. Use when generating new feature ideas, brainstorming solutions for an identified opportunity, or ideating with a product trio.
Brainstorm feature ideas for a new product in initial discovery from PM, Designer, and Engineer perspectives. Use when starting product discovery for a new product, exploring features for a startup idea, or doing initial ideation.
Analyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions.
Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub abhishekchoudhari/pm-superic-skills --plugin pm-product-discoveryComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
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Product marketing and growth skills: marketing ideas, value proposition statements, North Star metrics, product naming, and positioning.
Expert PM tracker for managing external vendor initiatives via Gmail and Google Sheets. Syncs email threads to structured trackers, scores risk with weighted rubric, and sends daily summaries. Specialized for product managers tracking external dependencies.
Execution and product management skills: PRDs, PRD review (adaptive scorecard + CEO stress-test), PRD walkthrough capture, design briefs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, stakeholder updates, and quarterly planning.
Market research skills for PMs: user personas, market segmentation, sentiment analysis, competitive analysis, user research synthesis, and research-library search across Google Drive.
Product strategy skills for PMs: vision, strategy canvas, value propositions, lean canvas, business model canvas, SWOT, PESTLE, Ansoff Matrix, Porter's Five Forces, and monetization.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).
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