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Claude Skills by borghei
github.com/borghei677 skills6 installs822 views
- Brainstorm ExperimentsExperiment design expert using pretotyping and lean validation for both new product concepts and existing product features.Votes: 0GitHub stars: 847
- Brainstorm IdeasProduct ideation expert using Product Trio approach and Opportunity Solution Trees for both new and existing products.Votes: 0GitHub stars: 847
- Customer Interview ScriptRun high-signal customer discovery interviews using a scripted question hierarchy, behavior-over-opinion probes, and rapport techniques drawn from Portigal, Torres, Fitzpatrick, and Lewis Lin.Votes: 0GitHub stars: 847
- Identify AssumptionsAssumption mapping expert that identifies, categorizes, and prioritizes product assumptions across 4-8 risk categories using devil's advocate analysis.Votes: 0GitHub stars: 847
- Interview SynthesisCustomer interview synthesis expert that turns raw transcripts into themed insights, an opportunity solution tree, and a follow-up question list using Teresa Torres' continuous discovery methodology.Votes: 0GitHub stars: 847
- Jtbd WorkshopRun a full Jobs-To-Be-Done discovery workshop with switch interviews, forces-of-progress mapping, and outcome statement generation across 2hr, 4hr, and 8hr formats.Votes: 0GitHub stars: 847
- Metrics DashboardDesign a product metrics dashboard — North Star + input metrics + guardrails — that the team actually uses to make decisions. Distinct from north-star-metric (defines THE one number) by focusing on the full dashboard architecture: layers, owners, cadence, visualization, and the discipline that prevents 30-chart dashboards.Votes: 0GitHub stars: 847
- Opportunity Solution TreeOpportunity Solution Tree (Teresa Torres) mapping outcomes → opportunities → solutions → assumption tests. Use when prioritizing discovery work, mapping solutions to a problem, or checking whether a roadmap moves outcomes.Votes: 0GitHub stars: 847
- Pre MortemPre-mortem risk analysis expert that classifies risks as Tigers, Paper Tigers, and Elephants to surface launch-blocking issues before they happen.Votes: 0GitHub stars: 847
- Value Proposition CanvasStrategyzer Value Proposition Canvas (Customer Profile + Value Map) with fit validation across problem-solution and product-market dimensions.Votes: 0GitHub stars: 847
- Activation FunnelDesign and analyze activation funnels (AARRR / AAARRR Pirate Metrics) with conversion + drop-off math, bottleneck detection, and Mermaid funnel diagrams. Includes a stdlib Python tool that emits all 6 shared PM output formats.Votes: 0GitHub stars: 847
- Ai Feature PrdAI/ML feature PRD scaffolding for the modern AI product manager. Use to extend a standard PRD with AI-specific sections covering model selection, evals, guardrails, failure modes, human-in-the-loop, AI metrics, and cost monitoring.Votes: 0GitHub stars: 847
- Backlog RefinementBacklog refinement playbook covering INVEST quality, vertical story splitting, Definition of Ready, and Definition of Done -- with a Python scorer that grades each story against INVEST and emits a ready/not-ready verdict.Votes: 0GitHub stars: 847
- Beta ProgramClosed beta program playbook covering recruitment, success criteria, communication cadence, and beta-to-GA exit gates.Votes: 0GitHub stars: 847
- Brainstorm OkrsOKR brainstorming and validation using the Radical Focus framework. Generates outcome-focused objectives with measurable key results and counter-metrics. Use when setting quarterly OKRs, validating existing OKRs against quality criteria, aligning team goals to company objectives, or teaching teams the difference between outputs and outcomes in goal-setting.Votes: 0GitHub stars: 847
- Create PrdPRD scaffolding expert that generates structured product requirements documents using an 8-section framework, problem framing canvas, and working-backwards press release. Use to spec a new product or feature.Votes: 0GitHub stars: 847
- Customer Feedback TriageInbound customer-feedback triage system. Categorize, deduplicate, score, and respond to feature requests from support, sales, NPS, in-app feedback, and exec asks (Kano + Cagan). Feeds clean signal into prioritization-frameworks.Votes: 0GitHub stars: 847
- Cycle Time AnalyzerFlow metrics analyzer (lead time, cycle time, throughput, WIP, aging WIP) for sprint and team health, with cumulative flow diagrams.Votes: 0GitHub stars: 847
- Daci FrameworkDACI decision facilitation framework for clarifying decision ownership, reducing decision thrash, and improving governance across product teams. Use for decision-making clarity, role assignment, governance design, and reducing ambiguity about who drives, approves, contributes, or is informed.Votes: 0GitHub stars: 847
- Dependency MapCross-team dependency tracking with critical path analysis and Mermaid dependency graphs for program coordination.Votes: 0GitHub stars: 847
- Eol CommunicationEnd-of-life product messaging and sunset communication framework for creating clear, empathetic EOL announcements that preserve customer trust and facilitate smooth transitions. Use when sunsetting a product, feature, or service.Votes: 0GitHub stars: 847
- Feature Flag StrategyPM-facing playbook for phased rollouts with feature flags -- taxonomy (release / experiment / ops / permission), rollout shapes, kill-switch decision tree, holdouts, flag debt retirement, and naming conventions.Votes: 0GitHub stars: 847
- Job StoriesJobs-to-Be-Done story writing that focuses on user situations and motivations rather than personas.Votes: 0GitHub stars: 847
- Launch PlaybookInternal and external launch coordination playbook covering pre-launch, launch day, and post-launch with run-of-show, comms, rollback, and retro.Votes: 0GitHub stars: 847
- North Star MetricDefine a North Star Metric (NSM) and its input metric tree, with leading indicators, anti-metrics, and counter-metrics. Includes a Python tool that renders the metric tree as a Mermaid diagram.Votes: 0GitHub stars: 847
- Outcome RoadmapTransforms output-based feature lists into outcome-driven roadmaps with measurable impact using Now/Next/Later framing and the "so what?" technique. Use when converting a feature-list roadmap into outcome-driven format, communicating product strategy to executives or customers, running quarterly planning, or aligning teams around impact rather than deliverables.Votes: 0GitHub stars: 847
- Post MortemBlameless post-mortem expert for incidents, outages, regressions, customer escalations, missed launches, and failed experiments. Pairs Google SRE practice with Allspaw / Dekker / Perrow systems thinking.Votes: 0GitHub stars: 847
- PrfaqAmazon Working Backwards PR/FAQ generator that forces customer-outcome thinking before any code is written. Produces a press release, an internal FAQ, and an external FAQ as a single decision artifact.Votes: 0GitHub stars: 847
- Pricing PrdTactical PM PRD for pricing experiments and pricing-page launches. Pairs with business-growth/pricing-strategy. Covers packaging, willingness-to-pay, grandfathering, A/B design, rollback, regional pricing, and UX.Votes: 0GitHub stars: 847
- Prioritization FrameworksComprehensive prioritization framework expert covering 9 methods with scoring tools and decision guidance for product managers.Votes: 0GitHub stars: 847
- Product VisionWrite the Product Vision document -- the narrative above the north-star metric -- using Pichler's Vision Board, Moore's elevator pitch, Raskin's strategic narrative, and Cagan's 10-year framing.Votes: 0GitHub stars: 847
- Quarterly PlanningRun the full quarterly planning cycle -- pre-quarter homework, kickoff, weekly Wodtke rhythm, mid-quarter check-in, and close retro -- using Radical Focus, Cagan strategy, and a fixed planning cadence around your OKRs.Votes: 0GitHub stars: 847
- Release NotesStructured release notes creation that translates technical changes into user-benefit-oriented communication.Votes: 0GitHub stars: 847
- Roadmap CommunicationSame roadmap, three audiences. Produce executive, customer, and internal variants of a single roadmap with appropriate framing, detail level, and risk language for each.Votes: 0GitHub stars: 847
- Sprint PlanPlan a sprint that ships — capacity, commitment vs stretch, dependencies, risk-identification, and the pre-sprint discipline that prevents mid-sprint surprises. Distinct from scrum-master (process facilitation) by focusing on the planning artifact itself.Votes: 0GitHub stars: 847
- Stakeholder MapMap stakeholders by power × interest (or influence × support), design a communication plan, and run the stakeholder-management discipline that prevents surprise objections. Use when launching a major initiative, navigating an enterprise deal, planning a re-org, or pre-empting political resistance to a roadmap change.Votes: 0GitHub stars: 847
- Status Update GeneratorGenerate weekly executive status updates from Jira/Linear data exports. Produces a structured "highlights / blockers / risks / asks / what's next" briefing in markdown, Confluence, Notion, Linear, JSON, or Mermaid.Votes: 0GitHub stars: 847
- Story MappingJeff Patton-style user story mapping for visualizing user journeys and translating product strategy into prioritized, deliverable work. Use for release planning, MVP definition, backlog sequencing, and cross-team alignment on what to build and in what order.Votes: 0GitHub stars: 847
- Story SplittingVertical-slicing playbook with 9 canonical patterns for splitting epics into shippable user stories without losing user value.Votes: 0GitHub stars: 847
- Summarize MeetingStructured meeting summarization that captures decisions, action items, and open questions in a consistent format.Votes: 0GitHub stars: 847
- Test ScenariosGenerate complete test scenario coverage from a feature spec: happy paths, edge cases, error handling, accessibility, security, and performance scenarios. Includes a coverage analyzer that flags gaps before QA writes the test plan. Distinct from automated test generation — this is the WHAT to test before HOW.Votes: 0GitHub stars: 847
- Capacity PlannerHeadcount and delivery-capacity planning — effective capacity from raw headcount, hire/contract/defer scenarios, and capacity-vs-commitment gap reports. Use when planning a quarter, sizing a hiring ask, or testing whether a roadmap fits.Votes: 0GitHub stars: 847
- Internal CommsPlan, sequence, and pressure-test internal announcements before they send. Use when announcing a reorg, policy, or product change, drafting an all-hands or exec update, or deciding who hears what and in which order.Votes: 0GitHub stars: 847
- Knowledge OpsAudit and repair an internal knowledge base — staleness, ownership gaps, orphans, duplication, and findability. Use when the wiki is untrusted, docs are out of date, nobody owns pages, or search returns the wrong answer.Votes: 0GitHub stars: 847
- Process MapperMap, measure and improve business processes — SIPOC and swimlane capture, cycle-time and bottleneck analysis, handoff diagnosis, and a payback-ranked improvement backlog. Use when a process is slow, error-prone, or crosses too many teams.Votes: 0GitHub stars: 847
- Procurement OptimizerCut software and services spend through seat-utilisation analysis, redundant-tool detection, and renewal-timing leverage. Use when auditing SaaS spend, preparing a renewal negotiation, or hunting a budget-reduction target.Votes: 0GitHub stars: 847
- Vendor ManagementVendor lifecycle — weighted selection scorecards, risk tiering, renewal and notice-deadline tracking, spend concentration, and SLA credits. Use when selecting a vendor, preparing a renewal, or reviewing a vendor portfolio.Votes: 0GitHub stars: 847
- Statistical AnalystApplied statistics for business and product questions — test selection, assumption checks, power planning, effect sizes with intervals, multiplicity correction. Use when interpreting an experiment, sizing a study, or vetting a claim.Votes: 0GitHub stars: 847
- Agent HarnessTest and evaluation harness for AI agents — scenario suites, deterministic replay, regression diffing, cost and latency budgets. Use when agent quality is vibe-checked, before shipping a prompt or model change, or when evals drift.Votes: 0GitHub stars: 847
- Agentic Evaluation FrameworkThis skill should be used when the user asks to "evaluate LLM output quality", "set up LLM-as-judge", "build an eval rubric", "compare model outputs pairwise", or "measure agent quality".Votes: 0GitHub stars: 847