Web3 PM Interview Skill

Use this skill when preparing candidates for Web3 product manager interviews, especially wallet, exchange, DeFi, DEX, on-chain data, growth, AI Wallet, Agent...

This repository appears internally consistent for preparing Web3 PM interviews and does not request special permissions, but take these practical precautions before use: (1) Do not paste raw recordings, private recruiter messages, named interviewers, non-public company metrics, or other PII — follow the repo's privacy-redaction rules. (2) If you load this skill into a cloud-hosted LLM (Custom GPT, Claude, etc.), understand those platforms will transmit your inputs to the provider; avoid sending confidential data. (3) There is a minor metadata inconsistency: the top-level metadata showed "source: unknown / homepage: none," while claw.json includes a GitHub repository URL; verify the origin if provenance matters. (4) If you adapt this skill for automated/agentic use, review any platform-level data retention and skill invocation policies. Overall the package is coherent and proportionate to its stated purpose.

Type: OpenClaw Skill Name: web3-pm-interview-skill Version: 0.4.0 The skill bundle is a comprehensive interview preparation tool for Web3 Product Managers. It consists entirely of Markdown instructions, YAML templates, and reference documentation designed to guide an AI agent in analyzing resumes and job descriptions. Critically, the 'claw.json' manifest requests no permissions (empty permissions array), meaning it has no access to the network, filesystem, or environment variables. The 'SKILL.md' and 'references/privacy-redaction-rules.md' files include explicit instructions for the agent to protect user privacy by redacting sensitive information such as interviewer names and compensation details. No malicious logic, data exfiltration, or harmful prompt injections were detected.