product-lens
Use this skill to validate the "why" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.
About this skill
The 'Product Lens' skill empowers AI agents to act as a strategic product advisor, ensuring that development efforts are aligned with genuine user needs and business value. It's designed to facilitate critical thinking before, during, and after the build process. Drawing inspiration from top-tier product accelerators like YC office hours, this skill automates the process of asking the hard, foundational questions necessary for successful product development. It guides the user through validating the 'why' behind features, performing product diagnostics, and meticulously converting nascent, vague ideas into actionable, well-defined specifications. By employing structured inquiry, the skill helps teams avoid wasted effort on features that lack a clear purpose or user benefit, promoting a 'think before you build' philosophy.
Best use case
To validate new product ideas or features, conduct thorough product diagnostics, resolve feature prioritization dilemmas, and transform abstract concepts into concrete, actionable product specifications.
Use this skill to validate the "why" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.
Users can expect clearer, better-validated product ideas, well-defined specifications, and a deeper understanding of the problem being solved and the proposed solution's impact. It helps in making more informed product decisions and reducing wasted development effort.
Practical example
Example input
I have an idea for a new feature in our project management tool: a 'gamification badge system'. Can you apply the product lens to this idea?
Example output
Applying the Product Lens for "gamification badge system"... 1. Who is this for? (specific person, not "developers") - Is it for project managers looking to motivate their teams? - Is it for individual contributors seeking recognition? - Are there specific roles or teams this would resonate most with? 2. What's the pain? (quantify: how often, how bad, what do they do today?) - What specific problem does a lack of gamification solve? (e.g., low engagement, missed deadlines due to lack of motivation, feeling undervalued) - How often do users experience this pain? Is it daily, weekly? - How bad is this pain on a scale of 1-10? - What do users currently do to cope with this lack of motivation or recognition? 3. Why now? (what changed that makes this possible/necessary?) - Has there been a recent shift in competitor offerings? - Is there new research on team motivation or a change in user demographics? - Has internal feedback highlighted a growing need for this? 4. What's the 10-star version of this feature? - Beyond just badges, what would be the absolute ideal, transformative experience for users? (e.g., personalized growth paths, AI-driven recognition, team leaderboards with real-world rewards)
When to use this skill
- Before initiating development on any new feature to validate its underlying purpose and necessity.
- During weekly product reviews to ensure ongoing development aligns with strategic goals and user needs.
- When faced with multiple feature options and needing assistance in prioritization.
- Prior to a product launch, as a final sanity check on the user journey and overall product value.
When not to use this skill
- This skill is not suitable for purely technical debugging, writing code, executing tasks without product context, or when the 'why' behind a feature is already definitively established and requires immediate technical implementation.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/product-lens/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How product-lens Compares
| Feature / Agent | product-lens | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
Use this skill to validate the "why" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
AI Agent for Product Research
Browse AI agent skills for product research, competitive analysis, customer discovery, and structured product decision support.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
SKILL.md Source
# Product Lens — Think Before You Build This lane owns product diagnosis, not implementation-ready specification writing. If the user needs a durable PRD-to-SRS or capability-contract artifact, hand off to `product-capability`. ## When to Use - Before starting any feature — validate the "why" - Weekly product review — are we building the right thing? - When stuck choosing between features - Before a launch — sanity check the user journey - When converting a vague idea into a product brief before engineering planning starts ## How It Works ### Mode 1: Product Diagnostic Like YC office hours but automated. Asks the hard questions: ``` 1. Who is this for? (specific person, not "developers") 2. What's the pain? (quantify: how often, how bad, what do they do today?) 3. Why now? (what changed that makes this possible/necessary?) 4. What's the 10-star version? (if money/time were unlimited) 5. What's the MVP? (smallest thing that proves the thesis) 6. What's the anti-goal? (what are you explicitly NOT building?) 7. How do you know it's working? (metric, not vibes) ``` Output: a `PRODUCT-BRIEF.md` with answers, risks, and a go/no-go recommendation. If the result is "yes, build this," the next lane is `product-capability`, not more founder-theater. ### Mode 2: Founder Review Reviews your current project through a founder lens: ``` 1. Read README, CLAUDE.md, package.json, recent commits 2. Infer: what is this trying to be? 3. Score: product-market fit signals (0-10) - Usage growth trajectory - Retention indicators (repeat contributors, return users) - Revenue signals (pricing page, billing code, Stripe integration) - Competitive moat (what's hard to copy?) 4. Identify: the one thing that would 10x this 5. Flag: things you're building that don't matter ``` ### Mode 3: User Journey Audit Maps the actual user experience: ``` 1. Clone/install the product as a new user 2. Document every friction point (confusing steps, errors, missing docs) 3. Time each step 4. Compare to competitor onboarding 5. Score: time-to-value (how long until the user gets their first win?) 6. Recommend: top 3 fixes for onboarding ``` ### Mode 4: Feature Prioritization When you have 10 ideas and need to pick 2: ``` 1. List all candidate features 2. Score each on: impact (1-5) × confidence (1-5) ÷ effort (1-5) 3. Rank by ICE score 4. Apply constraints: runway, team size, dependencies 5. Output: prioritized roadmap with rationale ``` ## Output All modes output actionable docs, not essays. Every recommendation has a specific next step. ## Integration Pair with: - `/browser-qa` to verify the user journey audit findings - `/design-system audit` for visual polish assessment - `/canary-watch` for post-launch monitoring - `product-capability` when the product brief needs to become an implementation-ready capability plan
Related Skills
Product Management OS
Complete product management system — discovery, prioritization, roadmapping, metrics, and cross-functional leadership. Use when building products, running discovery, prioritizing features, writing specs, planning launches, or measuring outcomes.
production-scheduling
为离散和批量制造中的生产调度、作业排序、产线平衡、换模优化和瓶颈解决提供编码化专业知识。基于拥有15年以上经验的生产调度师的知识。包括约束理论/鼓-缓冲-绳、快速换模、设备综合效率分析、中断响应框架以及企业资源计划/制造执行系统交互模式。适用于调度生产、解决瓶颈、优化换模、应对中断或平衡制造产线时。license: Apache-2.0
workspace-surface-audit
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.
ui-demo
Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.
token-budget-advisor
Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or "token" refers to auth/session/payment tokens rather than response size.
skill-comply
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines
santa-method
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
safety-guard
Use this skill to prevent destructive operations when working on production systems or running agents autonomously.
repo-scan
Cross-stack source code asset audit — classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.
project-flow-ops
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.
openclaw-persona-forge
为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡, 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill,可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于:微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词:龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster character、抽卡、随机龙虾、龙虾 SOUL、gacha。
manim-video
Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.