ReddRadar
Topic: product-management
378 skills in this topic.
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user-onboarding
Help users design effective product onboarding. Use when someone is creating first-user experiences, trying to improve activation rates, designing the first 30 seconds of product usage, or working on the path to the aha moment.
RefoundAI/lenny-skills 604
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vibe-coding
Help users build software using AI coding tools. Use when someone is using AI to generate code, building prototypes without deep technical skills, or exploring how non-engineers can create functional software through natural language.
RefoundAI/lenny-skills 604
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working-backwards
Help users apply the working backwards methodology. Use when someone is defining a new product, writing a PR/FAQ, planning from a future state, or trying to clarify a product's value proposition before building.
RefoundAI/lenny-skills 604
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writing-job-descriptions
Help users write effective job descriptions. Use when someone is creating a job posting, defining a new role, preparing to hire, or trying to attract the right candidates for an open position.
RefoundAI/lenny-skills 604
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writing-north-star-metrics
Help users define their North Star metric. Use when someone is choosing their primary success metric, trying to align the team around a key measure, struggling with metric proliferation, or setting up their measurement strategy.
RefoundAI/lenny-skills 604
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writing-prds
Help users write effective PRDs. Use when someone is documenting product requirements, preparing specs for engineering, writing feature briefs, or defining what to build for their team.
RefoundAI/lenny-skills 604
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writing-specs-designs
Help users write effective specs and design documents. Use when someone is creating technical specs, feature specs, design docs, or trying to communicate product requirements to engineering and design teams.
RefoundAI/lenny-skills 604
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written-communication
Help users communicate more effectively in writing. Use when someone is drafting memos, emails, strategy docs, announcements, or any written communication that needs to be clear, concise, and persuasive.
RefoundAI/lenny-skills 604
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issue-tree-builder
McKinsey-style issue tree framework for breaking down complex problems into MECE (Mutually Exclusive, Collectively Exhaustive) components. Use when users need to decompose strategic questions, structure analysis, create work plans, or prepare for case interviews. Apply hypothesis-driven approach to problem-solving.
sruthir28/enterprise-ai-skills 31
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prioritization
sruthir28/enterprise-ai-skills 31
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scpr-framework
SCPR (Situation-Complication-Problem-Recommendation) framework for structured problem solving and executive communication. Use when users need to structure strategic arguments, analyze business situations, create executive summaries, or develop clear problem statements using McKinsey-style communication. Apply when structuring recommendations, writing memos, or organizing strategic thinking.
sruthir28/enterprise-ai-skills 31
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storyline-builder
McKinsey-style storyline framework for building presentation decks. Use when users need to structure presentations, pitch decks, or strategic communications. Creates logical flow where each storyline becomes a slide title, progressing from problem to solution.
sruthir28/enterprise-ai-skills 31
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agency-ladder
Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework.
breethomas/bette-think 13
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agent-workflow
Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
breethomas/bette-think 13
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ai-cost-check
Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.
breethomas/bette-think 13
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ai-debug
Diagnose why an AI feature is underperforming, hallucinating, or behaving inconsistently. Uses 4D audit to work backwards from symptoms to root cause.
breethomas/bette-think 13
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ai-health-check
Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).
breethomas/bette-think 13
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calibrate
Post-launch AI feature calibration workflow. Document error patterns, review eval performance, and decide on agency promotion. Based on CC/CD framework for continuous calibration of AI products.
breethomas/bette-think 13
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coder
Apply Brian Balfour's CODER framework to drive organizational AI adoption. Constraints, Ownership, Directives, Expectations, Rewards.
breethomas/bette-think 13
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competitive-research
Systematic competitive intelligence with parallel agent analysis. Analyzes competitors thoroughly and synthesizes into actionable insights.
breethomas/bette-think 13
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context-engineering
[ARCHIVED] Full 4D Context Canvas reference. For new AI features, use /spec --ai. For debugging, use /ai-debug. For quality checks, use /context-check.
breethomas/bette-think 13
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four-fits
Find which fit is broken before you burn cash scaling. Brian Balfour's framework for validating sustainable growth readiness.
breethomas/bette-think 13
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four-risks
Run Marty Cagan's Four Risks assessment on an issue (value, usability, feasibility, viability). Use when evaluating features before building.
breethomas/bette-think 13
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growth-loops
Find your growth loop or stay stuck in linear acquisition hell. Identify viral, content, network, and paid loop opportunities using Elena Verna's framework.
breethomas/bette-think 13