VandanaAjayDubey111
UserYour product team as software: 48 AI agents run Discover→Measure with a live board + 3 human gates. Model-agnostic (Claude/OpenAI/Gemini/Codex), two-way into Notion/Slack/Linear/Jira. A Claude Code plugin.
Categories
Indexed Skills (48)
done-blocked
Reusable reporting contract for any great-pm agent that hands work back to the loop. Forces ONE of two terminal statuses (DONE or BLOCKED) with a specific evidence shape. Stops vague "probably finished" and "kind of stuck" verdicts.
engagement-depth
Measure whether a product earns a durable place in the user's routine — not just whether they came back once. Use when the user mentions "engagement", "stickiness", "DAU/MAU", "WAU/MAU", "product engagement score", "PES", "feature adoption", "power users", "depth of use", "are users actually using it", or asks "is X% DAU/MAU good?". Also trigger when a retention curve looks fine but you suspect shallow usage, when deciding whether a feature is dead, or when picking the right cadence frame (daily vs weekly vs monthly) for a product. Distinct from improve-retention (tactics to come back) and activation-aha-moment (reach value once) — this is the measurement layer for usage intensity once they are retained.
great-pm
The great-pm operating model — the 6-stage product loop, the 3 human gates, the governance rule, and the beads tracking conventions every great-pm agent runs on. Every agent draws on this skill.
accessibility
Playbook for product accessibility — WCAG 2.2 AA, ADA Title III (US public accommodations), Section 508 (US federal), EN 301 549 (EU), accessibility-first UX patterns, accessibility testing.
activation-aha-moment
The statistical method for finding a product's activation/aha moment — the action that, taken early, separates retained users from churned ones (the "kink in the retention curve"). Distinguishes setup-moment vs aha-moment vs habit-moment, and how to find and validate the metric rather than guessing it. Used by analytics-analyst and metrics-architect.
agent-product-patterns
The workflow-vs-agent decision and the seven Anthropic building-block patterns (augmented LLM, prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, autonomous agent). Gives the PM the vocabulary and decision tree to scope an AI feature's control flow BEFORE the engineering spec exists — and the discipline to not build an agent when a workflow suffices. Used by ai-prompt-architect and architect.
ai-evals
Eval-driven product management for LLM features — error analysis, axial coding of failure modes, LLM-as-judge with TPR/TNR validation, and the continuous Analyze→Measure→Improve loop. Used when an AI feature's output quality is the product and "did it get better?" must be answered with evidence, not vibes. Hosted by ai-eval-engineer / metrics-architect.
ai-regulation
Playbook for AI-specific regulation — EU AI Act (high-risk + GPAI obligations), NIST AI RMF (US voluntary), Biden EO + agency actions, state AI laws (NY LL 144, CO SB 205, etc.), sector-specific overlays.
ai-unit-economics
The unit-economics model that governs whether an AI product is viable. Forces explicit cost-per-action (token + orchestration overhead), gross-margin-per-query math, the "every feature use costs money" mental model, the cost levers (caching, model tiering, batching, local inference), and break-even analysis. The AI extension of cost-model and pricing-models — those are general; this models per-query variable cost.
ai-use-case-scoping
The should-this-even-be-AI gate — decide where an LLM belongs versus deterministic rules, frame error tolerance as a product decision, and climb the capability ladder (rules → prompt → RAG → fine-tune) only as far as the problem demands. Stops the "AI everywhere" anti-pattern before it reaches the spec. Hosted by product-strategist / ai-prompt-architect.
ai-ux-patterns
The UX patterns that don't exist in deterministic software — confidence display, graceful failure, reversibility, human-in-the-loop, and progressive disclosure — for designing trustworthy probabilistic features. Grounded in Google PAIR (People + AI Guidebook) and Apple HIG for ML. Turns "how should the AI feature behave when it's unsure or wrong" from ad-hoc choices into a checklist.
blue-ocean-strategy
Create uncontested market space using value innovation instead of competing head-to-head. Use when the user mentions "blue ocean", "red ocean", "strategy canvas", "ERRC framework", "value innovation", "non-customers", "buyer utility map", "eliminate-reduce-raise-create", or "uncontested market". Also trigger when comparing pricing strategies, exploring new market categories, finding underserved customer segments, or asking how to stop competing on price. Covers the Four Actions Framework, buyer utility map, and value-cost trade-offs. For tech adoption strategy, see crossing-the-chasm. For product positioning, see obviously-awesome.
circles-method
Lewis Lin's CIRCLES framework for structured product-design answers — Comprehend the situation, Identify the customer, Report customer needs, Cut through prioritization, List solutions, Evaluate trade-offs, Summarize the recommendation. Use when answering a "design a product/feature for X" question, structuring a product-sense decision, or making sure a design proposal didn't skip the customer or the prioritization step.
climate-mrv
Playbook for climate / carbon Measurement-Reporting-Verification — GHG Protocol Scope 1/2/3, SBTi targets, CDP disclosure, EU CBAM, EPA GHGRP, ISO 14064, double-counting prevention, attestation.
competitive-analysis
Playbook for competitive teardowns, market sizing (TAM/SAM/SOM), and positioning-gap analysis. Used by market-analyst.
consumer-privacy
Playbook for consumer-privacy compliance — CCPA / CPRA (California), state privacy laws (VA / CO / CT / UT / TX / others), India DPDP overlay, sensitive-data special handling, opt-out signals, do-not-sell.
contagious
Engineer word-of-mouth and virality using the STEPPS framework (Social Currency, Triggers, Emotion, Public, Practical Value, Stories). Use when the user mentions "go viral", "word of mouth", "shareable content", "social currency", "why people share", "viral loop", "referral program", or "organic growth". Also trigger when designing shareable features, crafting social media campaigns, or building products that spread through peer recommendation. Covers environmental triggers and high-arousal emotional content. For sticky messaging, see made-to-stick. For persuasion tactics, see influence-psychology.
continuous-discovery
Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots. Use when the user mentions "continuous discovery", "opportunity solution tree", "weekly interviews", "assumption testing", "discovery habits", "product trio", or "outcome-based roadmap". Also trigger when setting up regular customer feedback loops, prioritizing which experiments to run, or connecting discovery insights to delivery work. Covers experience mapping, co-creation, and prioritizing opportunities. For interview technique, see mom-test. For team structure, see inspired-product.
cost-model
Standardized cost-estimation framework for great-pm initiatives. Forces explicit LLM cost (across great-pm pipelines), human-equivalent comparison, infra delta, and time-to-ship. Output is parsable by /pm-burn and /pm-cost. great-pm version covers PM-side cost.
crossing-the-chasm
Navigate the technology adoption lifecycle from early adopters to mainstream market. Use when the user mentions "crossing the chasm", "beachhead segment", "whole product", "early adopters vs. mainstream", "tech go-to-market", "bowling pin strategy", "technology adoption lifecycle", or "pragmatist buyers". Also trigger when a startup has early traction but struggles to grow beyond initial users, or when planning go-to-market for technical products. Covers D-Day analogy, bowling-pin strategy, and positioning against incumbents. For product positioning, see obviously-awesome. For new market creation, see blue-ocean-strategy.
customer-journey-map
Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. Use when mapping the customer experience, identifying friction points, improving onboarding, or visualizing the user journey.
eu-gdpr
Playbook for GDPR compliance from a product perspective — lawful basis, consent UX, DPIA triggers, Article 22 (automated decisions), DSARs, data residency, GDPR-K (children), DPO requirements.
experiment-design
Playbook for trustworthy experiments — hypothesis framing, test types, sample size and power, statistical vs practical significance, stopping rules, and the traps (peeking, multiple comparisons, novelty effects). Used by experiment-designer.
funnel-diagnostics
The step-by-step drop-off diagnostic workflow — define the funnel, measure each step's conversion, find the worst drop, diagnose WHY (segment-by-segment + qual), fix, and re-measure. Turns "the numbers dropped" into a located, explained, validated fix. The segmentation step is what separates diagnosis from description. Used by analytics-analyst.
hipaa-bundle
Playbook for HIPAA compliance from a product perspective — PHI scope, Covered Entity vs Business Associate, BAA chain, Privacy Rule, Security Rule, Breach Notification, minimum necessary, de-identification.
hooked-ux
Design habit-forming product loops using the Hook Model (Trigger, Action, Variable Reward, Investment). Use when the user mentions "users arent coming back", "engagement loops", "habit formation", "push notifications", "variable rewards", "daily active users", "habit zone", or "user retention loops". Also trigger when designing notification strategies, building streaks or progress systems, or analyzing why users stop using a product after initial signup. Covers ethics evaluation and onboarding for habits. For friction reduction and B=MAP, see improve-retention. For viral sharing, see contagious.
impact-mapping
Build an Impact Map (Gojko Adzic) — a four-level tree connecting a measurable Goal → Actors (who can move it) → Impacts (behaviour changes we want from them) → Deliverables (what we could build). Use when tying features to business outcomes, exposing untested assumptions behind a roadmap, or deciding what NOT to build because it doesn't move the goal.
improve-retention
Diagnose and fix retention problems using behavior design (B=MAP). Use when the user mentions "users drop off", "activation rate", "onboarding friction", "retention metrics", "why users dont complete", "churn analysis", "user activation", or "aha moment". Also trigger when analyzing cohort retention curves, designing activation milestones, reducing time-to-value for new users, or investigating why users stop after their first session. Covers the Ability Chain, prompt design, and tiny behaviors that compound. For habit loops and variable rewards, see hooked-ux. For intrinsic motivation, see drive-motivation.
india-fintech
Playbook for product decisions in Indian fintech — UPI rails, RBI regulatory frame, DPDP Act 2023, NPCI conventions, customer-money handling, Tier-1 vs Tier-2 vs Tier-3 KYC limits.
influence-psychology
Apply the six principles of ethical persuasion (reciprocity, commitment, social proof, authority, liking, scarcity) to product design, copy, and sales. Use when the user mentions "social proof", "persuasive copy", "why users dont convert", "ethical persuasion", "reciprocity", "scarcity tactics", or "commitment and consistency". Also trigger when designing testimonial sections, crafting urgency messaging, or improving trust signals on landing pages. For deal negotiation tactics, see negotiation. For viral word-of-mouth, see contagious.
inspired-product
Build empowered product teams using discovery and delivery dual-track. Use when the user mentions "product discovery", "empowered teams", "feature factory", "product roadmap", "opportunity assessment", "product vision", "product-led growth", or "discovery vs delivery". Also trigger when restructuring product teams away from output-driven models, setting product strategy, or defining what to build next based on outcomes. Covers product discovery techniques, team structure, and continuous value delivery. For customer interviews, see mom-test. For ongoing discovery systems, see continuous-discovery.
jobs-to-be-done
Discover what customers truly need by analyzing the "job" they hire your product to do. Use when the user mentions "customer discovery", "why customers churn", "what job does this solve", "competing against luck", "product-market fit", "switching behavior", "milkshake moment", or "functional vs emotional jobs". Also trigger when investigating why users choose competitors, designing features around real customer needs, or reframing product value propositions. Covers JTBD interviews, competition analysis, and jobs-oriented roadmaps. For product positioning, see obviously-awesome. For rapid validation, see design-sprint.
launch-readiness
Playbook for safe product launches — phased rollout strategies, beta cohort design, readiness checklists, rollback criteria, and post-launch watch periods. Used by launch-manager.
lean-startup
Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn. Use when the user mentions "MVP scope", "validated learning", "pivot or persevere", "vanity metrics", "test assumptions", "innovation accounting", "build-measure-learn", or "minimum viable experiment". Also trigger when deciding what to include in a first version, measuring startup progress, or evaluating whether to change direction on a product bet. Covers innovation accounting and actionable metrics. For 5-day prototype testing, see design-sprint. For customer motivation analysis, see jobs-to-be-done.
made-to-stick
Craft messages that are understood, remembered, and drive action using the SUCCESs checklist (Simple, Unexpected, Concrete, Credible, Emotional, Stories). Use when the user mentions "make it memorable", "sticky messaging", "tagline", "value proposition", "why the message isnt landing", "knowledge curse", "surprise gap", or "concrete language". Also trigger when writing pitch decks, simplifying complex product explanations, or making presentations more compelling and memorable. For narrative brand frameworks, see storybrand-messaging. For viral sharing, see contagious.
metrics-design
Playbook for designing product metrics — North Star, leading vs lagging KPIs, event instrumentation, success thresholds, and the vanity-metric traps. Used by metrics-architect.
mom-test
Talk to customers without leading them using Mom Test rules: discuss their life not your idea, ask about specifics in the past, and talk less. Use when the user mentions "customer interviews", "validate my idea", "users say they want it but dont buy", "leading questions", "The Mom Test", "customer feedback bias", or "interview script". Also trigger when preparing user research questions, interpreting ambiguous customer feedback, or designing customer discovery processes that avoid false positives. Covers commitment and advancement, avoiding compliments, and extracting signal from noise. For product-market fit, see jobs-to-be-done. For rapid prototype testing, see design-sprint.
north-star-input-tree
Build a North Star Metric and decompose it into 3-5 controllable input metrics that sum/multiply to it — the Amplitude framework as a standalone build. Covers NSM selection criteria, the input-metric tree, finding the weakest input to focus on, and the anti-patterns (revenue/vanity NSMs). Makes a North Star *actionable* instead of a scoreboard. Used by metrics-architect.
obviously-awesome
Define product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category. Use when the user mentions "positioning", "competitive alternatives", "how to position", "market category", "why customers dont get it", "positioning canvas", "repositioning", or "category creation". Also trigger when launching a new product, entering a crowded market, or diagnosing why prospects dont understand the products value. Covers positioning canvas and team workshops. For customer jobs analysis, see jobs-to-be-done. For go-to-market, see crossing-the-chasm.
ansoff-matrix
Generate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification. Use when considering growth options, planning market expansion, or evaluating strategic growth paths.
beachhead-segment
Identify the first beachhead market segment for a product launch. Evaluates segments against burning pain, willingness to pay, winnable market share, and referral potential. Use when choosing a first market, targeting an initial customer segment, or planning market entry strategy.
brainstorm-okrs
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results. Use when setting quarterly OKRs, aligning team goals with company strategy, drafting objectives, or learning how to write effective OKRs.
business-model
Generate a Business Model Canvas with all 9 building blocks. Use when creating a business model, documenting how a business creates value, or analyzing an existing business model.
cohort-analysis
Read retention curves and adoption trends by cohort and decide what is real signal vs noise. Use when analyzing retention by cohort, studying feature adoption over time, investigating churn, or comparing cohorts — to reach a defensible PM judgement, not just a chart.
competitive-battlecard
Create sales-ready competitive battlecards comparing your product against a specific competitor — positioning, feature comparison, objection handling, and win/loss patterns. Use when preparing sales teams, creating competitive materials, or responding to 'why not competitor X?'
growth-loops
Identify growth loops (flywheels) for sustainable traction. Evaluates 5 loop types: Viral, Usage, Collaboration, User-Generated, and Referral. Use when designing growth mechanisms, building product-led traction, or understanding how growth loops work.
lean-canvas
Generate a Lean Canvas with problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue. Use when exploring a lean startup canvas, testing a business hypothesis, or modeling a new venture.
connectors
How great-pm agents read and write external tools (Notion, Slack, Linear, Jira, analytics) through the model-agnostic connector layer — the same way on every AI platform.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.