varunk130
User12 AI-powered skills for product discovery — from raw customer signal to validated opportunity. Built for Claude Code & GitHub Copilot.
Categories
Indexed Skills (123)
assumption-mapper
Surfaces the assumptions a product or strategy depends on, classifies them by criticality and evidence quality, and produces a prioritized test plan. Use when: assumption mapping, identify assumptions, what could go wrong, leap-of-faith assumptions, riskiest assumption test, RAT, assumption inventory, validate before building.
competitive-analyzer
Structured competitive teardown for product discovery - surface the 4-6 dimensions buyers actually weigh, score every competitor on each, and identify exploitable gaps. Use when: competitive analysis, competitor teardown, market positioning, where do we win, where do we lose, competitive gap analysis, competitor audit.
feedback-prioritizer
Triages a backlog of raw customer feedback into a ranked list of opportunities scored on reach, severity, strategic fit, and confidence. Outputs a prioritized list with explicit "do not act" callouts for vocal-minority signals. Use when: triage feedback, prioritize feature requests, customer feedback backlog, what should we build next, opportunity scoring, RICE feedback, feedback synthesis.
north-star-metric-finder
Identifies a candidate North Star Metric (NSM) for a product - the single metric that captures the value the product delivers to its customers and predicts long-term business growth. Tests candidates against five criteria and surfaces input metrics that move it. Use when: north star metric, NSM, single metric that matters, primary metric, growth metric, value-capture metric, what should we measure.
jtbd-extractor
Turn raw research into Jobs-to-be-Done statements showing what users are really trying to accomplish. Use when: extract jobs, jtbd analysis, jobs to be done, what job is the user hiring, underlying user needs.
abm-playbook
Account-Based Marketing playbook builder - tiered account list (1:1, 1:few, 1:many), buying-group mapping, coordinated multi-channel plays per account, and pipeline acceleration plays for in-cycle accounts. Use when: ABM playbook, account-based marketing, target account list, tiered accounts, 1:1 marketing, buying group, named-account strategy, ABM plays, pipeline acceleration, in-cycle account acceleration.
battle-scanner
Competitive intelligence engine that deconstructs competitor positioning, surfaces exploitable weaknesses, and predicts competitive responses. Use when: competitive analysis, competitor research, competitive landscape, competitive intelligence, who are our competitors, how do we compete against.
budget-allocator
Launch budget optimization using portfolio theory and scenario analysis with experimentation reserves. Use when: budget allocation, marketing budget, launch budget, how much to spend, budget planning, channel budget.
community-catalyst
Product-led growth and community strategy engine that designs viral loops, self-serve onboarding funnels, and user community programs. Use when: PLG strategy, product-led growth, community strategy, viral growth, referral program, developer community, user community, growth loops.
competitive-battlecard
On-demand sales battlecards for live competitive deals - positioning matrix, top objections with responses, trap questions, proof points, and a "do not say" list. Use when: competitor surfaced in deal, sales battlecard, competitive enablement, deal-specific battlecard, objection handling, competitive trap questions, why we win against, why we lose to, displacement playbook.
competitive-exec-brief
Creates an executive-ready competitive analysis brief with a 1-slide PPTX summary for leadership presentations. Use when: competitive brief, exec competitive summary, competitive slide, competitive pptx, board competitive update, leadership competitive briefing.
demand-engine
Multi-channel demand generation strategy builder that designs the full pipeline from awareness to hand-raise with channel scoring and budget allocation. Use when: demand generation, demand gen strategy, lead generation, pipeline strategy, marketing channels, how do we generate demand, channel strategy.
enablement-forge
Sales and marketing enablement asset creation system that generates structured materials from pitch decks to objection handlers to ROI calculators. Use when: sales enablement, create battle cards, pitch deck, sales assets, talk tracks, objection handling, sales collateral, marketing assets.
flywheel-sync
Meta-skill that audits health of the entire product launch engine, identifies broken links between phases, and generates improvement roadmaps. Use when: system health, skill audit, launch engine health, are our skills working together, process audit, workflow health check.
growth-loop
Retention, expansion, and advocacy strategy that maximizes customer lifetime value through structured lifecycle programs. Use when: retention strategy, customer retention, expansion strategy, churn prevention, customer success, NRR, upsell, advocacy program.
gtm-exec-plan
Creates a polished 3-4 page GTM executive brief and plan with a 4-slide PowerPoint deck. Orchestrates market analysis, positioning, competitive intel, channel strategy, and launch planning into exec-ready deliverables. Use when: GTM plan, go-to-market plan, GTM strategy, GTM brief, executive GTM plan, GTM deck, GTM presentation, launch plan deck, product GTM strategy, platform GTM, developer platform GTM, new product GTM.
journey-architect
End-to-end customer journey mapping engine with gated progression model that designs every touchpoint from awareness through advocacy. Use when: customer journey, buyer journey, journey map, touchpoints, conversion funnel, buying process, customer experience mapping.
launch-command
Launch orchestration and readiness assessment engine with cross-functional workstream tracking and go/no-go gates. Use when: launch readiness, launch checklist, launch orchestration, go no go, launch plan, are we ready to launch.
launch-debrief
Structured post-launch retrospective that produces quantified learnings and improvement playbooks. Use when: launch retrospective, post-launch review, what worked, launch debrief, post-mortem, lessons learned.
launch-pulse
GTM analytics and measurement framework that builds metrics architecture, dashboard specs, and alert systems. Use when: GTM metrics, launch metrics, measurement framework, KPIs, dashboard design, what should we measure, analytics framework.
market-analyzer
Comprehensive market analysis and sizing engine that goes beyond TAM/SAM/SOM to include growth drivers, risk factors, segment dynamics, and investment-grade market maps. Use when: market analysis, market sizing, market research, industry analysis, segment analysis, market opportunity, market landscape, how big is this market.
partner-blueprint
Partner and channel strategy architect that identifies, scores, and structures partnerships with mutual value propositions and co-GTM plans. Use when: partner strategy, channel partners, partnership, co-marketing, reseller strategy, integration partners, ecosystem strategy.
position-lock
Brand positioning and messaging architecture engine that creates a defensible market position with cascading message hierarchy from tagline to feature copy. Use when: positioning, messaging, brand positioning, value proposition, messaging framework, how do we position, what is our message.
product-announcement
Product announcement and launch communications generator that creates coordinated multi-channel launch messaging from press releases to social posts to internal comms. Use when: product announcement, launch announcement, product launch comms, press release, launch communications, announce new feature, announce new product.
signal-radar
Continuous macro-market signal detection and classification engine that surfaces emerging trends, threats, and whitespace opportunities. Use when: market signals, market intelligence, trend analysis, emerging threats, market monitoring, what is changing in our market.
whitespace-finder
Systematic unmet-needs discovery engine that maps gaps between market demand and existing solutions with quantified opportunity scores. Use when: find opportunities, unmet needs, market gaps, opportunity discovery, what should we build, where is the whitespace.
customer-advocacy
Customer advocacy program design - advocate identification, reference orchestration, case study pipeline, community amplification, and influence-to-revenue attribution. Use when: customer advocacy, customer reference program, case study program, advocate identification, customer marketing, peer review acceleration, G2 / Gartner Peer Insights, customer-led growth, reference architecture.
customer-analytics
Customer analytics framework - cohort retention, lifecycle funnels, engagement scoring, segmentation, and behavioral diagnostics for product and CS teams. Use when: customer analytics, cohort analysis, retention curve, engagement score, customer segmentation, behavioral analysis, lifecycle funnel, RFM, activation diagnostics, usage analysis.
customer-success
Customer Success operating system - segmented coverage model, health scoring, risk playbooks, value reviews, and expansion motions tied to net revenue retention. Use when: customer success strategy, CS operating model, health score, risk playbook, EBR / QBR design, churn prevention, net retention, NRR, GRR, success plan, value realization, customer journey post-sale.
lead-nurture
Lead nurture orchestration - multi-track nurture design by intent stage, scoring, behavioral triggers, MQL→SQL handoff, and revival of cold leads. Use when: lead nurture, drip campaign, nurture track, lead scoring, MQL to SQL, lifecycle marketing, nurture sequence, behavioral trigger, lead revival, MQL handoff.
loyalty-lifecycle
Customer loyalty and lifecycle orchestration - tiered loyalty design, lifecycle journey programs, milestone triggers, and retention economics for B2B and B2C. Use when: loyalty program, customer lifecycle program, tiered loyalty, milestone marketing, retention program design, lifecycle journey, loyalty economics, member tiers, retention motion.
referral-program
Referral program design - referrer / referee incentive structure, viral mechanics, fraud and abuse controls, attribution, and channel placement. Use when: referral program, refer a friend, viral loop design, K-factor, advocacy referrals, partner referrals, customer referral incentives, referral attribution, viral coefficient.
renewal-orchestration
Renewal orchestration playbook - risk identification, renewal motion design, multi-thread engagement, commercial negotiation, and expansion-at-renewal plays. Use when: renewal playbook, renewal forecast, renewal risk, multi-year renewal, NRR, GRR, churn save, contract negotiation, expansion at renewal, renewal handoff.
revenue-analytics
Revenue analytics architecture - ARR / NRR / GRR decomposition, cohort retention, expansion drivers, segment economics, and CAC payback diagnostics. Use when: revenue analytics, ARR waterfall, NRR analysis, GRR, expansion analysis, cohort revenue retention, CAC payback, magic number, segment economics, revenue diagnostics.
revenue-forecasting
Revenue forecasting pipeline - bottoms-up pipeline forecast, tops-down model, ensemble blending, scenario analysis, and forecast calibration loop. Use when: revenue forecast, sales forecast, pipeline forecast, bookings forecast, NRR forecast, ARR forecast, forecast calibration, scenario planning, ensemble forecasting, board forecast.
voice-of-customer
Voice of Customer program - multi-source signal collection, theming and prioritization, evidence-to-action routing, and product / CS / marketing feedback loop closure. Use when: voice of customer, VoC program, customer feedback, NPS / CSAT / CES, qualitative theming, feedback synthesis, product feedback loop, customer insight engine.
ai-accessibility-audit
WCAG 2.2 Level AA accessibility audit for AI product surfaces - color contrast, focus order, ARIA usage, keyboard navigation, motion/animation, reduced-motion respect, alt text, and form label association. Use when: accessibility audit, a11y review, WCAG audit, screen reader compliance, keyboard-only navigation, color contrast check, focus management, ARIA review, accessible AI UX.
ai-agent-ux
Design user experiences for autonomous AI agents that act on behalf of users - control panels, consent flows, action previews, audit trails, and undo mechanisms. Use when: agentic AI, autonomous agents, AI autonomy controls, agent UX, AI actions, computer use, agent consent, agent audit trail.
ai-conversation-architect
Design conversational AI interfaces that feel natural, recover from failures gracefully, and build user trust through dialogue. Use when: chatbot UX, conversational UI, dialogue design, AI assistant interface, chat flow, turn-taking, AI persona voice, multi-turn context.
ai-error-resilience
Design graceful failure experiences for AI products - hallucinations, uncertainty, wrong outputs, and edge cases. Use when: AI hallucination UX, error handling for AI, uncertainty design, graceful degradation, AI failure recovery, confidence thresholds, safe fallbacks.
ai-feedback-loops
Design feedback mechanisms that help AI systems learn from users - thumbs up/down, preference ranking, corrections, and human-in-the-loop escalation. Use when: RLHF UX, user feedback for AI, thumbs up down design, AI correction flow, human in the loop, feedback signal design, AI improvement loops.
ai-journey-mapper
Map human-AI interaction journeys - trust arcs, capability discovery paths, autonomy progression, and AI-specific touchpoints. Use when: AI user journey, human-AI interaction mapping, trust arc mapping, AI capability discovery, AI adoption journey, AI experience map.
ai-output--multimodal-design
Design how AI presents results across text, code, images, charts, and mixed media - response formatting, output hierarchy, and cross-modal transitions. Use when: AI output design, response formatting, AI results display, multimodal output, AI-generated content presentation, code output UX, AI visualization.
ai-onboarding--calibration
Design onboarding experiences that help users build accurate mental models of AI capabilities, set expectations, and discover features progressively. Use when: AI onboarding, progressive disclosure for AI, capability communication, AI mental models, expectation setting, AI feature discovery, first-time AI user experience.
ai-personalization--ethics
Design AI-driven personalization that adapts interfaces to users while respecting privacy, avoiding filter bubbles, and maintaining user agency. Use when: adaptive UI, AI personalization, recommendation UX, filter bubble prevention, privacy personalization balance, algorithmic fairness UX, user preference learning.
ai-prompt-ux
Design the input experience for AI products - how users craft, structure, and refine their instructions to AI systems. Use when: prompt interface, AI input design, prompt templates, prompt suggestions, context window UX, instruction design, AI input affordances, prompt engineering UX.
ai-safety-guardrails
Design safety experiences for AI products - content moderation UX, bias detection surfaces, harm prevention patterns, and responsible AI interfaces. Use when: AI safety UX, content moderation, responsible AI, AI bias UX, harm prevention, content filtering UX, AI refusal design, safety disclaimers.
ai-trust--transparency
Design explainability interfaces that help users understand AI decisions, build calibrated trust, and verify AI outputs. Use when: AI explainability, XAI UX, confidence indicators, citation design, source attribution, trust signals, AI transparency, why did AI do this.
cost-quality-frontier
Adds cost (input + output tokens × model price) and latency (p50, p95) to eval results, plots model options on a Pareto frontier, and produces a quality-per-dollar composite score so production model selection is grounded in trade-offs, not just quality. Use when: model comparison, cost-aware evals, latency budget, quality-per-dollar, Pareto frontier, model selection, eval economics, picking a model for production.
eval-generator
Generates eval test cases for AI agents from an eval suite plan (output of /eval-suite-planner) or a plain-English agent description. Supports both single-response and conversation (multi-turn) evaluation modes. Outputs a test set table, a CSV file in the Copilot Studio import format (single-response only - used here as the primary worked example; trivially adaptable to any harness that accepts tabular test cases), and a docx report for human review.
eval-result-interpreter
Analyzes AI agent evaluation results - primarily from Copilot Studio (the worked example here, via its CSV export) but also from custom harnesses or any evaluator that produces per-case pass/fail rows - using Microsoft's Triage & Improvement Playbook. Returns a SHIP / ITERATE / BLOCK verdict with root cause classification, diagnostic triage, prioritized remediation, and pattern analysis.
eval-suite-planner
Produces a concrete eval suite plan for AI agents - grounded in Microsoft's Eval Scenario Library and MS Learn agent evaluation guidance (Copilot Studio is the primary worked example, but the plan is platform-agnostic and adapts to any agent harness). Outputs scenario types, evaluation methods, quality signals, thresholds, and priority order - before any test cases are generated or evals are run.
eval-triage-and-improvement
Use this skill when AI agent evaluations have come back and the user needs to interpret scores, diagnose root causes of underperforming test cases, find remediation steps, or analyze patterns to improve their agent. Works against any agent platform - Copilot Studio is the primary worked example here, but the triage framework applies equally to custom harnesses, LangChain/LangGraph, AutoGen, Semantic Kernel, OpenAI Assistants, and other agent runtimes. Always use this skill when the user mentions: "eval failed", "why did this fail", "triage", "diagnose failure", "low pass rate", "fix evaluation results", "not passing", "failing test cases", "evaluation results", "improve my eval scores", or any situation where eval scores need interpretation and action.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tool-use-eval
Evaluation pattern for agents that call tools / functions - measures tool selection accuracy, argument correctness, recovery from tool errors, and avoidance of unnecessary tool calls. Pairs with eval-suite-planner. Use when: tool-use eval, function-calling eval, agent tool selection, tool invocation accuracy, tool argument validation, tool error recovery, agent tools, function-calling agent, MCP eval.
saas-cohort-analyzer
Performs rigorous Software as a Service (SaaS) cohort analysis: retention curves, Lifetime Value (LTV), Customer Acquisition Cost (CAC) payback, Net Revenue Retention (NRR), Gross Revenue Retention (GRR), and expansion versus churn decomposition with dollar-weighted and logo-weighted views. Use when diagnosing retention problems, forecasting Annual Recurring Revenue (ARR), evaluating pricing changes, segmenting customer health, validating product-market fit, or preparing board and investor key-performance-indicator reports.
ai-agent-financial-analyst
SaaS financial modeling engine that generates unit economics models, feature ROI calculators, pricing scenario analyses, TAM/SAM/SOM sizing, build-vs-buy comparisons, and revenue projections from natural language inputs. Use when building business cases, calculating LTV/CAC/payback, modeling pricing changes, estimating feature revenue impact, running sensitivity analyses, or preparing financial justifications for product investments. Produces actual calculations with explicit assumptions and sensitivity ranges.
burn-rate-runway-planner
Models cash burn, runway, and scenario-based cash flow with explicit triggers, default-alive versus default-dead diagnosis, and a 13-week rolling forecast. Use when planning a fundraise, deciding on layoffs, evaluating hiring plans, modeling a downturn, presenting cash position to the board, or pressure-testing a Chief Financial Officer (CFO) operating plan.
capital-allocation-framework
Ranks competing investments using Net Present Value (NPV), Internal Rate of Return (IRR), payback period, Profitability Index (PI), and strategic option value - then produces a portfolio-level recommendation. Use when evaluating capital expenditure requests, comparing Mergers and Acquisitions (M&A) targets, sizing Research and Development (R&D) bets, prioritizing engineering investments, sun-setting initiatives, or preparing a board capital allocation memo.
dcf-valuation-builder
Builds a transparent Discounted Cash Flow (DCF) valuation with a 5-10 year forecast, terminal value, Weighted Average Cost of Capital (WACC) derivation, sensitivity tables, and a football-field summary. Use when valuing a company, business unit, acquisition target, or capital project; pressure-testing an investment thesis; preparing a board valuation memo; or stress-testing assumptions against precedent transactions and trading comparables.
financial-statement-analyzer
Performs structured fundamental analysis of annual reports (Form 10-K, Form 10-Q): ratio analysis, quality of earnings, working-capital efficiency, segment decomposition, accounting red flags, and Management's Discussion and Analysis (MD&A) parsing. Use when underwriting an investment, evaluating a competitor, preparing for an earnings call, building peer comparables, or screening for accounting risk.
competitive-response-modeler
Models multi-round competitive interactions: who reacts, how fast, with what move, and what payoff outcome - using reaction functions, commitment value, and signaling theory. Use when planning a pricing change, market entry, product launch, capacity addition, or any move where competitor reaction will determine whether the move pays off.
mechanism-design-planner
Designs auctions, matching mechanisms, pricing schemes, and incentive structures using mechanism-design principles - Incentive Compatibility (IC), Individual Rationality (IR), revenue equivalence, and budget balance. Use when designing a marketplace pricing model, a referral program, an internal resource allocation, a Request for Proposal (RFP) or procurement process, an auction format, or any allocation rule where participants act strategically.
nash-equilibrium-solver
Models a strategic interaction as a normal-form (or extensive-form) game, identifies pure-strategy and mixed-strategy Nash equilibria, applies dominance and iterated elimination, checks subgame perfection, and translates the equilibrium back into a recommended action. Use when analyzing pricing wars, capacity decisions, market entry, bidding strategy, negotiation dynamics, or any two-or-more party interaction where each player's best move depends on what others do.
negotiation-strategist
Prepares for a negotiation using the Best Alternative to a Negotiated Agreement (BATNA), reservation price, Zone of Possible Agreement (ZOPA), multi-issue trade design, anchoring tactics, and concession plans, then simulates the counterparty and produces a play-by-play strategy. Use before commercial negotiations, Mergers and Acquisitions (M&A) talks, vendor or partnership deals, internal resource negotiations, hiring offers, or any multi-issue bargaining where preparation outranks instinct.
repeated-game-strategist
Analyzes repeated-game interactions - competitor dynamics, partner trust, supplier-buyer relationships - using the folk theorem, tit-for-tat (TFT), grim trigger, discount-factor analysis, and reputation effects to recommend a sustainable strategy. Use when designing a long-running competitive posture, structuring a multi-period partnership, deciding whether to retaliate against a defection, building a vendor relationship strategy, or planning repeated-bid procurement.
ai-decision-engine
Strategic product decision engine that reads ALL available project context (PRDs, research docs, metrics, competitive intel, roadmaps, CLAUDE.md) and provides holistic, multi-dimensional strategic recommendations. Use when making product prioritization decisions, quarterly planning, evaluating build/ship/kill tradeoffs, resolving conflicting stakeholder input, determining what to build next, or any strategic question requiring synthesis across multiple information sources.
customer-interview-synthesizer
Synthesizes raw customer interview transcripts into themes, quotes, Jobs-to-be-Done (JTBD) signals, force-of-progress diagrams, and actionable opportunity hypotheses with confidence levels. Use after a round of discovery, switching, win-loss, or churn interviews; when preparing a research readout; when aligning a team on what the customer signal actually says; or when feeding inputs into an Opportunity Solution Tree (OST).
jobs-to-be-done-extractor
Extracts Jobs-to-be-Done (JTBD) statements (functional, emotional, social) from raw research - interviews, surveys, support tickets, sales calls - and produces a job map with progress measures and outcome statements. Use when reframing a product around customer outcomes, segmenting beyond demographics, building a competitive switching analysis, prioritizing features, or aligning product, marketing, and sales on the same job.
opportunity-solution-tree
Builds an Opportunity Solution Tree (OST) - desired outcome at the top, prioritized opportunities, candidate solutions, and assumption tests that connect discovery work to a measurable business outcome. Use when planning continuous product discovery, deciding what to research next, structuring quarterly discovery work, or aligning a product trio (product manager / designer / engineer) on what to test.
product-discovery-coach
Coaches a product trio through continuous product discovery: weekly customer touchpoints, assumption mapping, story mapping, and the discovery / delivery dual-track cadence. Use when standing up a discovery practice from scratch, debugging why discovery isn't sticking, training a new product manager on continuous discovery, or designing a quarterly discovery plan around an outcome.
product-roadmap-prioritizer
Runs candidate features through Reach-Impact-Confidence-Effort (RICE), Kano, Must-Should-Could-Won't (MoSCoW), and Cost-of-Delay scoring, surfaces convergence and divergence across frameworks, and produces a defensible quarterly priority list with explicit trade-offs. Use when building a quarterly or annual roadmap, resolving conflicting stakeholder input, justifying a deprioritization to a stakeholder, or normalizing requests from multiple sources (sales, customer success, leadership) into one queue.
blue-ocean-strategy-canvas
Builds a Blue Ocean Strategy Canvas with the as-is competitive value curve, the Eliminate-Reduce-Raise-Create (ERRC) grid, the to-be value curve, and a non-customer analysis to find uncontested market space. Use when an industry is commoditizing, when differentiating against an entrenched incumbent, when designing a new category, or when reframing strategy around buyer utility instead of feature parity.
go-to-market-strategy
Creates a complete GTM plan with channels, messaging, timeline, and success metrics Use when: go-to-market strategy, gtm strategy, gtm plan, launch strategy, product launch.
gtm-engineering
Designs the technical infrastructure that powers go-to-market - lead scoring models, CRM enrichment pipelines, lifecycle automation, attribution, and reverse ETL. Use when: gtm engineering, revops engineering, lead scoring, lead routing, CRM data pipeline, marketing automation architecture, attribution model, reverse ETL, customer data platform, growth engineering.
okr-cascade-planner
Cascades strategy into Objectives and Key Results (OKRs) across company, function, and team levels with explicit alignment, leading versus lagging indicators, scoring conventions, and a quarterly review ritual. Use when designing OKRs from scratch, fixing a broken OKR program, aligning company-level strategy to team-level execution, training a new team on OKR mechanics, or preparing a quarterly OKR review.
porters-five-forces-analyzer
Performs a rigorous Porter's Five Forces analysis: industry structure, supplier power, buyer power, threat of new entrants, substitutes, and rivalry intensity, with quantified pressure scoring and a strategic-positioning recommendation. Use when entering a new market, defending an existing position, evaluating an industry's structural attractiveness, advising on Mergers and Acquisitions (M&A) in a new vertical, or preparing a competitive strategy memo.
roadmap-architect
Turns a list of prioritized initiatives into a sequenced quarterly roadmap with themes, dependencies, capacity checks, and confidence ranges. Use when: build roadmap, quarterly planning, sequence initiatives, capacity planning, dependency mapping, theme grouping, commit vs stretch, roadmap narrative.
legal-researcher
Surface relevant case law, statutes, and regulatory frameworks for legal questions. Use when: find case law, legal precedent, statutory reference, regulatory framework, GDPR requirements, CCPA compliance, employment law, contract law research.
legal-strategist
Risk assessment and strategic legal recommendations. Use when: assess legal risk, mitigation strategy, negotiation position, risk exposure, contract negotiation strategy, legal risk profile, compliance risk.
legal-team-lead
Orchestrate multi-agent legal document analysis. Use when: legal analysis, coordinate legal review, synthesize legal findings, document analysis report, combine compliance risk and strategy findings.
decision-engine
Multi-framework strategic analysis for product decisions. Use when: prioritize features, evaluate trade-offs, strategic decision, impact analysis, pre-mortem, ship or sunset, quarterly planning, compare options, confidence scoring.
financial-analyst
Build financial models from natural language with sensitivity analysis. Use when: feature ROI, business case, revenue projection, pricing analysis, TAM SAM SOM, unit economics, NPV, payback period, sensitivity analysis, ship or no ship.
stakeholder-translator
Generate 5 audience-tailored communications from one product update. Use when: stakeholder update, executive summary, board narrative, customer changelog, sales enablement, translate for audience, multi-audience communication, sensitivity classification.
jtbd-extractor
Turn raw research into Jobs-to-be-Done statements showing what users are really trying to accomplish. Use when: extract jobs, jtbd analysis, jobs to be done, what job is the user hiring, underlying user needs.
decision-engine
Multi-framework strategic analysis for product decisions. Use when: prioritize features, evaluate trade-offs, strategic decision, impact analysis, pre-mortem, ship or sunset, quarterly planning, compare options, confidence scoring.
financial-analyst
Build financial models from natural language with sensitivity analysis. Use when: feature ROI, business case, revenue projection, pricing analysis, TAM SAM SOM, unit economics, NPV, payback period, sensitivity analysis, ship or no ship.
stakeholder-translator
Generate 5 audience-tailored communications from one product update. Use when: stakeholder update, executive summary, board narrative, customer changelog, sales enablement, translate for audience, multi-audience communication, sensitivity classification.
ai-product-strategy
Develop AI product strategy and identify AI opportunities for your product. Use when: ai strategy, ai product, ai features, ai roadmap, ai opportunities, build vs buy ai.
ai-stakeholder-translator
Multi-audience communication multiplexer. Takes ONE product update, decision, or launch plan and generates 5 perfectly tailored versions for different stakeholders (engineering, executive, board, customer, sales) simultaneously.
market-sizing
Calculate TAM/SAM/SOM using both top-down and bottom-up approaches with clear assumption tracking. Use when: market size, tam sam som, market opportunity, addressable market.
pricing-strategy-analyzer
Analyze pricing strategy with competitive positioning, packaging, and revenue modeling. Use when: analyze pricing strategy, pricing strategy, analyze pricing, pricing analysis, evaluate pricing.
company-intel
Deep research on any company by scanning their public website to extract customers, partners, case studies, testimonials, key metrics, and competitive positioning. Produces a polished 1-slide PowerPoint summary. Use when: research a company, find customers, who are their customers, company research, company overview, customer list, company intel, customer logos, competitive research on company, scan website for customers.
codebase-navigation
An agent that can quickly orient itself in any codebase - finding the right files, understanding the architecture, and identifying conventions - before writing a single line of code. Agents without this skill guess at file locations, miss existing utilities, and create duplicates.
dependency-assessment
Agents with this skill can make disciplined decisions about third-party packages instead of reflexively running `npm install` or `pip install` at the first sign of complexity. Without it, agents accumulate dependencies that bloat bundles, introduce supply-chain risk, and create upgrade nightmares. A skilled agent treats every new dependency as a long-term commitment and evaluates it accordingly.
error-interpretation
Agents with this skill can diagnose failures methodically by reading what the system is actually telling them. Without it, agents fall into shotgun debugging -- trying random fixes, changing multiple things at once, and hoping something sticks. A skilled agent reads the error, forms a hypothesis, and verifies it before writing a single line of corrective code.
human-escalation
An agent that knows the boundary of its own authority and competence - pausing to involve a human when decisions carry risk, when requirements are ambiguous, or when the task exceeds what autonomous execution should handle. Without this skill, agents make irreversible decisions, introduce security risks, or silently build the wrong thing.
incremental-verification
An agent that confirms correctness at every micro-step - after every function, every file change, every integration point - rather than building a large body of code and hoping it works. Without this skill, agents produce code that looks plausible but fails at runtime, and bugs compound silently until the system is too broken to debug efficiently.
multi-agent-collaboration
An agent that can operate alongside other agents - dividing work, avoiding conflicts, and maintaining consistency - without stepping on each other's changes or duplicating effort. Without this skill, multi-agent workflows produce merge conflicts, inconsistent patterns, and wasted cycles.
requirement-extraction
An agent that can take ambiguous human input - "make the dashboard faster," "add authentication," "fix the search" - and systematically convert it into concrete, testable requirements before writing code. Agents without this skill build the wrong thing confidently.
Showing top 100 of 123 skills by quality score. Browse the full catalog at /browse.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.