Results for “affordance”

Apply foundational design principles—affordances, signifiers, constraints, mappings, and feedback—to evaluate and improve product usability, bridging the gulfs of execution and evaluation.

Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.

Choose pricing models, set freemium thresholds, and structure enterprise pricing conversations for technical products.

Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritization formula.

Configures GKE workload reliability with PodDisruptionBudgets, health probes, topology spread constraints, and graceful shutdown patterns.

Offer design and packaging for Nick's products and services. Use when shaping pricing, packages, guarantees, feature bundles, positioning, or making an offer more compelling and easier to buy.

Guides users in setting product or service prices using minimalist entrepreneur principles, covering cost-based and value-based models, tiered pricing, and financial independence math.

Calculate TAM, SAM, and SOM with explicit assumptions, methods, and caveats for market sizing.

Evaluate business decisions through the lens of sustainable, profitable growth, covering spending, hiring, fundraising, and scaling.

Design products and pricing around validated willingness to pay, using the framework from Ramanujam & Tacke's "Monetizing Innovation" to avoid common monetization failures.

Design pricing, packaging, and monetization strategy for a software or AI product. Use when the team needs plan structure, free-tier logic, usage vs seat pricing tradeoffs, paywall timing, or monetization guardrails tied to product value and costs.

When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use when the user mentions "paywall," "upgrade screen," "upgrade modal," "upsell," "feature gate," "convert free to paid," "freemium conversion," "trial expiration screen," "limit reached screen," "plan upgrade prompt," "in-app pricing," "free users won't upgrade," "trial to paid conversion," or "how do I get users to pay." Use this for any in-product moment where you're asking users to upgrade. Distinct from public pricing pages (see cro) — this focuses on in-product upgrade moments where the user has already experienced value. For pricing decisions, see pricing.

Design and optimize in-app paywalls, upgrade screens, and upsell modals to convert free users to paid or upgrade to higher tiers.

Query Binance fiat payment capabilities — supported countries, currencies, payment methods, limits, and crypto prices — via public APIs, plus authenticated order/payment history lookup. Use whenever users ask about buying or selling crypto with fiat, depositing or withdrawing fiat, fiat-crypto exchange rates, payment options in a specific country, or their fiat order history — even if they don't explicitly mention Binance APIs.

Federal Other Transaction (OT) prototype bid strategist for 10 USC 4021 research and 10 USC 4022 prototype/4022(f) production-follow-on agreements. USE WHEN the user asks to "build an OT bid", "respond to this OT solicitation", "estimate should-cost for an OT prototype", "is this milestone price reasonable", "compare 4022(d) cost-share paths", "team with an NDC to avoid 1/3 cost share", "OT price-to-win", or "TRL milestone phasing" — any milestone-based prototype scoping, OT cost stack, or 4022(d) cost-share strategy question. Reconstructs the AO's TRL phasing from the active workspace KG, picks the 4022(d) path that minimizes our exposure, builds a per-milestone cost stack from BLS OEWS + GSA CALC+ + GSA Per Diem, and emits a JSON envelope handed to `proposal-generator`. DO NOT USE FOR FAR-based contracts (`price-to-win`/`proposal-generator`), incumbent research (`competitive-intel`), FAR clause audit (`compliance-auditor`), or prime-to-sub SOW drafting (`subcontractor-sow-builder`).

Queries AWS pricing for EC2, RDS, S3, Lambda, and other services via a helper script, returning on-demand, reserved, and spot rates.

The single most useful question before analysing anything is: *what does it cost

Use when setting or adjusting prices for a product or service

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

Evaluate the financial impact of pricing changes using ARPU, conversion, churn risk, NRR, and payback analysis to make data-driven go/no-go decisions.

Turn "what should we pay reps and what number do we give them" into a defensible comp and quota plan. Reconciles a top-down number against a bottom-up build, sets the OTE mix, lays out accelerators, and names the behaviors the plan will drive and the ones it will break. Built for B2B sales leaders, customizable to your motion and your segments. Trigger on "design the comp plan", "set quotas", "what OTE should I pay", "reconcile top-down and bottom-up", "what will this plan actually incentivize", or any comp or quota build.

Builds a 3D volatility surface for any optionable ticker, mapping implied volatility across strike price and time to expiration to identify cheap, expensive, or anomalous options.

Detects available CPU, GPU, memory, and disk resources and generates strategic recommendations for scientific computing tasks.

Optimize electricity and gas procurement, tariffs, demand charges, renewable PPAs, and multi-facility energy costs using market analysis, hedging strategies, and load profiling.

Walk into the negotiation with a plan, not a hope. Sets your walk-away and your target, builds the concession ladder (what you trade and what you get for it), maps their likely asks, and drafts the responses that protect price and terms. Built for B2B sales teams, customizable to your CRM and your deal process. Trigger on "prep me for this negotiation", "the prospect wants a discount", "what should I concede", "build my concession ladder", "hold price on a new deal", or any pre-negotiation planning.

当意识到自身金钱观念存在限制，并希望采取建设性态度改善财务状况时

商品价格全网对比技能，获取商品在淘宝(Taobao)、天猫(TMall)、京东(JD.com)、拼多多(PinDuoDuo)、抖音(Douyin)、快手(KaiShou)的最优价格、优惠券，当用户想购物或者获取优惠信息时使用。Get the best price, coupons for goods on Chinese e-commerce platforms, compare product prices, and use when users want to shop or get discount information.

List Available Fabric Capacities

Finds flight deals with price prediction, flexible date search, and multi-city route optimization

Price-to-win lens using GSA CALC+, BLS OEWS, and incumbent USASpending award patterns for a pursuit. Use when user asks for realism checks or competitive pricing posture before proposal — draft skill, not production-verified.

Design in-game economies including currencies, progression systems, loot tables, monetization, and resource flow. Use when building the economic backbone of a game. Also trigger for "game economy", "loot table", "drop rates", "currency system", "progression design", "monetization strategy", or "reward system".

Analyzes federal contract competitors, incumbents, and obligation trends using live USAspending.gov data via the usaspending MCP, supporting black-hat competitor research and contract-number-first obligation analysis.

Run structured competitive analysis with feature matrices, SWOT, pricing comparison, review mining, and positioning maps using the inference.sh CLI.

Strategic patterns for solving intractable problems through cascading approximation, self-improvement, and heterogeneous evaluation from DeepMind's AlphaGo system

Optimizing FinOps and cloud cost: IaC-based estimation, right-sizing, RI/SP recommendations, anomaly detection, budget alerts, AI/GPU workload economics. Use to forecast or cut cloud spend.