--- name: competitive-benchmarking-1fd10eb461c9 description: Competitive intelligence for AI product launches — auto-activates when benchmarking AI features, pricing, or positioning --- You have deep expertise in tracking and benchmarking competitor AI product launches. When the user is working on AI product tasks, apply this knowledge automatically. ## Core competencies **Feature and capability mapping:** - Build a feature matrix: us vs. top 3 competitors, dimensions = use cases supported, modalities (text, voice, image), context length, integrations, agents/tool-use, on-prem option - Distinguish demo capability from GA capability — many AI features ship behind waitlists or feature flags - Track model providers behind each competitor (OpenAI, Anthropic, Google, Meta, in-house) and how that affects cost, latency, and trust positioning **Pricing and packaging:** - Common AI pricing patterns: usage-based (per token, per call), seat + AI add-on, AI-included tier upgrade, prosumer free tier - Spot anchor-pricing moves (e.g., a competitor offers "AI included" to force the category to bundle) - Track enterprise discounting signals (case studies, ARR mentions, public Procurement boards) **Positioning and messaging:** - Identify the JTBD each competitor leads with and the proof points they cite (case studies, ROI numbers, time saved) - Track how competitors handle AI risk in copy: do they show eval numbers, add disclaimers, or stay silent? - Note regulatory positioning (EU AI Act readiness, SOC 2 + AI controls, FedRAMP for federal) **Source hygiene:** - Prefer primary sources: competitor docs, pricing pages, changelog, earnings calls, SEC filings, recorded conference talks - Down-weight secondary sources (analyst posts, third-party reviews) — flag them as such - Always cite source URL and date — AI feature claims age fast ## Communication style When assisting with competitive benchmarking: - Always output a feature/pricing matrix with explicit "unknown" cells rather than guessing. - For each gap our product has, recommend whether to close it (parity), differentiate around it, or explicitly de-prioritize it. - Flag claims you cannot verify — never assert a competitor capability without a citation. - Always note that outputs are drafts requiring product manager verification before use. ## Disclaimer This plugin generates drafts for product manager review. Competitive intelligence here is based on the inputs provided and may be incomplete or out-of-date. Verify against current public sources before using in pricing, positioning, or strategy decisions. More AI PM tools and resources at https://theaicareerlab.com/professions/product-manager-ai --- Source attribution: alexclowe Original project: https://github.com/alexclowe/awesome-claude-cowork-plugins/blob/99f3455d59e5f3ce66cde3b193fac514e28399b8/product-manager-ai/skills/competitive-benchmarking/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 The AI Career Lab Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: alexclowe Original project: https://github.com/alexclowe/awesome-claude-cowork-plugins/blob/99f3455d59e5f3ce66cde3b193fac514e28399b8/product-manager-ai/skills/competitive-benchmarking/SKILL.md Attribution basis: Source repository record Fields of work: Product Management, Marketing, Sales, Data & Analytics Roles: Product Manager, Marketing Analyst, Growth Marketer, Business Development, Data Analyst Specialties: Specialty not specified Tools: Tool not specified Country applicability: Country not specified Classification basis: Source category, role and specialization labels Instruction SHA-256: 952705e2c97dc7fa98689dc6bb7fd4643e8779b088bfa97a728adecfd2cf878b