Results for “poi”

Parse RFP/RFI/RFQ documents, score fit per requirement with verifiable proof points, generate win-themes, estimate winrate, and produce a bid/no-bid recommendation using the Shipley method.

Breaks down a company's business model, revenue signals, positioning, pricing, moat, and weak points into a fixed, comparable template with fact-versus-inference labeling.

Designs revenue models, sets value-based price points, and creates referral loops to turn users into paying customers.

Entry-point for MoonPay CLI, PayBox agent vault, and Cheshire mcp-server MoonPay/PayBox tools. Use for fiat on-ramp, wallets, swaps, x402, PayBox MCP, or moonpay-* skill discovery.

Analyze Sentry session replays to surface UX patterns, pain points, and user journeys for a given product area.

Turns complex business goals into navigable strategic maps, identifying milestones, resource nodes, risk points, bottlenecks, and route logic to clarify the path before execution.

Identify and analyze 3-5 distinct customer segments with demographics, jobs-to-be-done, pain points, and product fit analysis for market opportunity evaluation.

Scans a project for stack signals and pain points, searches the skills-hub registry and local skills, scores candidates, and presents a ranked shortlist with install commands.

Create a customer journey map across stages, touchpoints, actions, emotions, and metrics to diagnose broken experiences and align teams on the full customer flow.

Synthesize customer research data to define the Ideal Customer Profile (ICP) including demographics, behaviors, Jobs to Be Done, and pain points.

Integrates with the protocols.io API v3 to search, create, update, and publish scientific protocols, manage steps and materials, handle discussions, organize workspaces, and upload files.

Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.

Version 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)

Turn the current conversation context into a PRD and publish it to the project issue tracker. Use when user wants to create a PRD from the current context.

Map customer journeys from awareness to advocacy by visualizing touchpoints, identifying drop-off points, analyzing channel interactions, and optimizing the end-to-end experience.

Customer insight specialist for audience understanding. Use when defining target audience, buyer personas, customer pains, value mapping, problem discovery, audience language. Triggers: 'who would buy this', 'target audience', 'buyer persona', 'customer pain points', 'ideal customer', 'user problems', 'value proposition', 'audience research'.

Audits and improves course player UX against LMS best practices, covering layout proportions, progressive disclosure, progress psychology, sidebar hierarchy, video sizing, light/dark harmony, sidebar naming, cohort pacing, and AI integration points.

Plans a sprint with capacity estimation, story selection, dependency mapping, and risk identification. Use when preparing for sprint planning, estimating team capacity, or balancing scope against velocity. Triggers on: sprint planning, sprint plan, capacity planning, sprint scope, story points, sprint goal, backlog grooming, sprint prep, what do we build this sprint.

Opens plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

Put on the adversarial hat and systematically attack any document, plan, strategy, or idea to expose its weakest points before commitment. Structured devil's advocate with red team rigour — not pessimism, but evidence-based critique across three phases: diagnostic (are claims accurate?), creative (is the problem artificially constrained?), challenge (are solutions robust?). Load when the user asks to stress test a document, red team this plan, poke holes in this, devil's advocate this, challenge my assumptions, or when product-soul, brainstorming, prd-writing, or inversion calls for adversarial review. Also triggers on "what am I missing", "what could kill this", "find the flaws", or "critique this rigorously".

A funnel and account-scoring diagnostic engine for any sales org. Connect a CRM and a product-analytics tool (plus optional enrichment, community, and meeting tools). Three modes. (1) FUNNEL DIAGNOSIS finds leaky conversion gates by channel with per-stage leakage, dollarized leverage points, and cohort velocity. (2) SPRINT PLANNING enriches qualified accounts into a ranked backlog with verified buying committees. (3) SCORING AUDIT finds where your scoring model is missing real ICPs. Trigger on 'funnel diagnosis', 'diagnose the funnel', 'where are we leaking', 'why is [channel] underperforming', 'conversion by channel', 'sprint planning', 'score these accounts', 'find missed ICPs', 'audit the scoring model', or any channel-level cohort-conversion, account-prioritization, or scoring-gap question.