Overview
- Skill Key
- alirezarezvani/product-discovery
- Author
- alirezarezvani
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/alirezarezvani/product-discovery
- Latest Commit SHA
- 17265eec8bcc4c5e2b8554bfb8c7483c4fc3ab56
Official OpenClaw
rules
36%
product-discovery
Use when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resources.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 product-discovery 技能。 若已安装，则直接安装 product-discovery 技能。
Extracted Content
SKILL.md excerpt
# Product Discovery Run structured discovery to identify high-value opportunities and de-risk product bets. ## When To Use Use this skill for: - Opportunity Solution Tree facilitation - Assumption mapping and test planning - Problem validation interviews and evidence synthesis - Solution validation with prototypes/experiments - Discovery sprint planning and outputs ## Core Discovery Workflow 1. Define desired outcome - Set one measurable outcome to improve. - Establish baseline and target horizon. 2. Build Opportunity Solution Tree (OST) - Outcome -> opportunities -> solution ideas -> experiments - Keep opportunities grounded in user evidence, not internal opinions. 3. Map assumptions - Identify desirability, viability, feasibility, and usability assumptions. - Score assumptions by risk and certainty. Use: ```bash python3 scripts/assumption_mapper.py assumptions.csv ``` 4. Validate the problem - Conduct interviews and behavior analysis. - Confirm frequency, severity, and willingness to solve. - Reject weak opportunities early. 5. Validate the solution - Prototype before building. - Run concept, usability, and value tests. - Measure behavior, not only stated preference. 6. Plan discovery sprint - 1-2 week cycle with explicit hypotheses - Daily evidence reviews - End with decision: proceed, pivot, or stop ## Opportunity Solution Tree (Teresa Torres) Structure: - Outcome: metric you want to move - Opportunities: unmet customer needs/pains - Solutions: candidate interventions - Experiments: fastest learning actions Quality checks: - At least 3 distinct opportunities before converging. - At least 2 experiments per top opportunity. - Tie every branch to evidence source. ## Assumption Mapping Assumption categories: - Desirability: users want this - Viability: business value exists - Feasibility: team can build/operate it - Usability: users can successfully use it Prioritization rule: - High risk + low certainty assumptions are tested first. ## Problem Val...
Related Claw Skills
heyixuan2
bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pipeline: search → generate → analyze → colorize → preview → open BS → user slice → print → monitor. Supports all 9 Bambu Lab printers (A1 Mini, A1, P1S, P2S, X1C, X1E, H2C, H2S, H2D).
capt-marbles
geo-optimization
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discoverability and citation.
carlulsoe
parakeet-stt
Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.
carlzhao007
feishu-process-feedback
飞书消息自动处理与进度反馈技能。安装后后台运行，监听飞书任务消息并自动创建独立进程处理。 在处理前后发送实时进度反馈（任务确认、进度百分比、完成通知）。 支持任务类型识别、智能解析、错误重试、并发控制、状态持久化。 使用场景：飞书自动化工作流、任务进度追踪、批量任务处理、需要实时反馈的场景。
cartoonitunes
bottyfans
BottyFans agent skill for autonomous creator monetization. Lets AI agents register, build a profile, publish posts (public, subscriber-only, or pay-to-unlock), upload media, accept USDC subscriptions and tips on Base, send and receive DMs, track earnings, and appear on the creator leaderboard. Use this skill when an agent needs to monetize content, interact with fans, manage a creator profile, handle payments in USDC, or operate as an autonomous creator on the BottyFans platform.
camopel
arxivkb
Local arXiv paper manager with semantic search. Crawls arXiv categories, downloads PDFs, chunks content, and indexes with FAISS + Ollama embeddings. No cloud API keys required — everything runs locally.