hollandkevint
- 36 skills
- 0 followers
- 9 hours ago last updated
- ▌ Debug · hollandkevint bundleSystematic debugging with structured reproduction and root cause analysis.
- ▌
- ▌ Code Review · hollandkevint bundleSystematic multi-perspective code review with consistent quality gates.
- ▌ Git Workflow · hollandkevintStandardized patterns for Git branching, worktrees, and lifecycle management.
- ▌ Codify · hollandkevintCapture a just-made decision into one durable record so the reasoning survives the session. Writes a single markdown file to the project's decisions/ folder: the call, the reasoning, the weakest assumption, what would change the verdict, and when to reuse the pattern. Checks for an existing record on the same decision and updates it instead of creating a near-duplicate. Activates on "codify this decision", "record this decision", "save the decision record", "make this decision durable", or right after a kill-go verdict, decision-brief, or /decide session.
- ▌ Kill Go · hollandkevintViability assessment that produces a proceed/pivot/kill recommendation. 5 pointed questions, scored, with a clear verdict. Use when evaluating ideas, making go/no-go decisions, assessing product-market fit, deciding whether to invest time, or when someone asks "should I build this?", "is this worth pursuing?", or "kill or keep?"
- ▌ Grill Me · hollandkevintDecision tree exploration through relentless interviewing. Forces shared understanding before action. Use when planning features, evaluating strategies, making hiring decisions, designing products, or any time you need exhaustive clarity before committing. Activates on "grill me", "interview me", "challenge this plan", "walk me through", "pressure test", "poke holes", or "what am I missing?"
- ▌ Preflight · hollandkevint7-question clarity exercise before any AI session or major decision. Pen-and-paper discipline adapted for interactive use. Activates on "preflight", "before we start", "clarify my thinking", "what am I trying to do", "help me think through this", "I'm about to start", or "pre-session checklist."
- ▌ AI Graduation · hollandkevint7-move decision gate for AI deployment. Prevents early promise from becoming unquestioned infrastructure. Based on Stuart Winter-Tear's AI Graduation Path. Activates on "AI deployment", "graduation", "should we scale this AI", "pilot to production", "AI governance", "prove this works", or "when is this ready?"
- ▌ Decision Brief · hollandkevintOne-page decision brief that passes the Simple/Surprising/Easy test. Turns a messy decision into a constraint that generates action. Based on Alex MH Smith's creative brief framework. Activates on "write a brief", "decision brief", "one-pager", "clarify the direction", "what's the constraint", or "make this simple."
- ▌ Pull Framework · hollandkevintProject/Urgent/List/Limitations. Structured discovery before prescribing solutions. Understand the situation before acting. Activates on "what's the context", "tell me about the situation", "discovery", "understand before solving", "pull framework", or "what have you tried?"
- ▌ Arbitrage Audit · hollandkevint3 diagnostic questions for evaluating any industry, market, or business model through the lens of arbitrage gaps. Identifies durable advantages vs. closing ones. Based on Nate Jones' Arbitrage Gap Framework. Activates on "arbitrage", "competitive advantage", "moat", "durable advantage", "market gap", "industry analysis", or "what gap am I exploiting?"
- ▌ Grill With Docs · hollandkevintWork an idea through with the agent, grounded in your own documents. Reads the context you bring (a strategy doc, positioning brief, prior decisions, meeting notes), builds shared language as you go, and captures decisions into a living record. The collaborative counterpart to grill-me: where grill-me pressure-tests a finished plan, this one helps you shape one. Use when developing a decision against existing material, aligning terminology across a team, or turning scattered notes into a defensible call. Activates on "grill with docs", "work this through with me", "help me develop this against my notes", "build this out with me", or "what does my doc actually say?"
- ▌ Problem Framing · hollandkevint9-step systematic problem diagnosis. Define the problem before designing the solution. Uses root cause analysis, force field analysis, and structured evaluation. Adapted from BMAD Creative Intelligence Suite (Dr. Quinn). Activates on "diagnose this problem", "root cause", "why isn't this working", "what's really going on", "problem framing", "five whys", or "systems thinking."
- ▌ B2b Idea Vetting · hollandkevintA 20-minute pressure test for B2B ideas, positioning angles, offers, content theses, product bets, and client recommendations. Built for PMMs, product managers, founders, consultants, writers, and editors who need a strong sounding board before committing. Activates on "vet this idea", "pressure-test this angle", "should I pursue this", "is this positioning any good", "validate this offer", or "help me decide if this is worth it."
- ▌ Assumption Mapper · hollandkevintExtract and rank assumptions from any plan, idea, or strategy. Identifies what to test first. Anti-sycophancy tool — surfaces beliefs the user treats as facts. Activates on "what am I assuming", "assumptions", "what could go wrong", "blind spots", "stress test my thinking", or "what haven't I considered?"
- ▌ Design Thinking Lite · hollandkevint7-step human-centered design process. Context, empathize, define, ideate, prototype, test, iterate. Lightweight version of full design thinking for strategic decisions. Adapted from BMAD Creative Intelligence Suite (Maya). Activates on "design thinking", "user-centered", "empathy mapping", "how would users feel", "design this experience", or "human-centered."
- ▌ Innovation Diagnostic · hollandkevintLightweight innovation assessment with go/no-go gates. Strategic context, market analysis, disruption identification, and recommendation. Adapted from BMAD Creative Intelligence Suite (Victor). Activates on "assess this opportunity", "innovation", "disruption", "market opportunity", "blue ocean", "jobs to be done", "is there a market for this", or "competitive landscape."
- ▌ Grill Me Data · hollandkevintDecision tree exploration for data product plans. Interview relentlessly about schema decisions, consumer contracts, quality SLAs, and delivery choices. Use when planning a data product, designing a schema, choosing a delivery method, or when someone asks "grill me on this data product" or "what am I missing in this design?"
- ▌ Data Model Design · hollandkevint bundleDimensional modeling and schema design for data products. Star schema patterns, slowly changing dimensions, denormalization decisions, and architecture decision records. Use when designing data models, reviewing schema designs, choosing between normalization strategies, or when someone asks "how should I model this data?" or "should I denormalize?" For OMOP CDM patterns specifically, see healthcare-data-domain.
- ▌ Data Storytelling · hollandkevintData presentation and storytelling for data product operators. Narrative structures, chart selection, headline formulas, and anti-patterns. Use when presenting data to stakeholders, building a data presentation, writing an executive summary of findings, telling a data story, or making a case with data. For stakeholder alignment process, see stakeholder-alignment. For metric definitions, see metrics-definition.
- ▌ Metrics Definition · hollandkevintPrecise metric definitions for data products. Outcome metric trees, naming conventions, grain specification, and the "what does this number mean?" problem. Use when defining KPIs, writing metric specifications, resolving conflicting metric definitions, building a metrics catalog, or when someone asks "how should we measure success?" or "why don't these numbers match?"
- ▌ Arbitrage Audit Data · hollandkevint3 diagnostic questions for evaluating data product markets through the arbitrage gap lens. Identifies whether your data product sits on a durable or closing advantage. Use when assessing data product positioning, evaluating market risk, or when someone asks "is AI going to replace this?" or "what's our moat?"
- ▌ Data Pipeline Quality · hollandkevintAutomated data quality checks for pipelines. Testing pyramids, dbt test patterns, data contracts, circuit breakers, and monitoring. Use when implementing data quality checks, writing dbt tests, defining data contracts, setting up pipeline validation, building automated quality monitoring, or when someone asks "how do I test my data pipeline?" For quality scoring methodology (the 5-dimension rubric), see data-quality-assessment.
- ▌ Data Product Thinking · hollandkevintFirst-principles reasoning for data product decisions. Frames problems as data products, not dashboards or pipelines. Use when evaluating data product strategy, making build-vs-buy decisions, scoping data product features, assessing product-market fit for data offerings, or when someone asks "should we build this data product?"
- ▌ Data Team Positioning · hollandkevintPosition data teams as strategic partners, not order-takers. The organizational "why" behind doing discovery work. Use when discussing team positioning, value exchange, demand shaping, escaping the order-taker trap, or when someone asks "how do we stop being order-takers?" or "how does the data team become strategic?"
- ▌ Stakeholder Alignment · hollandkevintTranslates between technical data teams and business stakeholders. Use when preparing stakeholder updates, translating technical data work for executives, shaping vague business requests into buildable specs, navigating competing priorities across data consumers, or when someone asks "how do I explain this to my VP?" or "the business team wants X but that's not how data works."
- ▌ Healthcare Data Domain · hollandkevint bundleHealthcare data domain context covering FHIR, HL7, OMOP CDM, real-world evidence, and clinical terminology systems. Use when working on clinical data pipelines, EHR integrations, claims data products, HIPAA-governed data, OMOP transformations, or when the conversation involves PHI, ICD-10, SNOMED, CPT, LOINC, or RxNorm. Skip this skill for non-healthcare data products.
- ▌ Dashboards To Decisions · hollandkevintConvert dashboard requests into decision specifications. The missing layer between "build me a dashboard" and "help me decide." Use when receiving dashboard requests, reviewing analytics backlogs, prioritizing data team work, or when someone asks "what dashboard do you need?" Apply this BEFORE building anything.
- ▌ Data Consumer Discovery · hollandkevintDiscover what internal data consumers actually need. Adapted Mom Test and JTBD for data teams. Use when conducting user research, interviewing stakeholders, gathering consumer requirements, running discovery sessions, or when someone asks "what do they need?" or "how do I figure out what to build?"
- ▌ Data Product Validation · hollandkevintScore whether a data product idea is worth building before committing resources. Validation scorecard, experiment design, and go/kill decisions. Use when evaluating feasibility, making go/no-go decisions, validating demand, sizing bets, or when someone asks "is this worth building?" or "should we invest in this?"
- ▌ Data Quality Assessment · hollandkevintSystematic data quality evaluation covering completeness, accuracy, timeliness, consistency, and validity. Use when assessing data pipelines, reviewing data product quality, auditing data sources, defining quality SLAs, building data quality monitors, or when someone asks "is this data trustworthy?" or "how do we measure data quality?"
- ▌ Ethical Risk Assessment · hollandkevintEthical data risk evaluation, bias testing protocols, and governance practices for data products. Use when evaluating ML/AI features for fairness, designing bias testing protocols, planning phased rollouts for high-risk changes, reviewing data governance practices, or when someone asks "could this model be biased?" or "how do we ship AI features responsibly?" For HIPAA-specific guidance, see healthcare-data-domain.
- ▌ Research Synthesis Data · hollandkevintConvert raw discovery notes into structured insights using atomic research methods adapted for data products. Use when synthesizing findings, reviewing evidence, summarizing research, writing problem briefs, or when someone asks "what did we learn?" or "what does the evidence say?"
- ▌ Data Team Operating Model · hollandkevintTeam structure and operating rhythm for data product teams. Product squads, Shape Up 6-week cycles, handoff contracts, and role assignments by lifecycle stage. Use when organizing a data team, planning data product development cycles, defining roles and responsibilities, improving team handoffs, or when someone asks "how should we structure our data team?" or "why do we keep losing context between discovery and delivery?"
- ▌ Healthcare Data Readiness Debrief · hollandkevint bundleDebrief one healthcare data project where preparation took more work than expected. Use a project summary or short interview to identify evidence gaps, trace their effect on the intended use, and produce a practical next-check brief. Works without patient records or database access.