This skill triggers when users prepare for interviews, provide job descriptions (JDs), or express job application interest, specializing in AI Product Manager roles. It generates a strategic HTML "battle map" from the JD, featuring three layers (strategy, tactics, scripts) covering self-introduction to salary negotiation, complete with performance comparisons.
/plugin marketplace add daizhouchen/jd-interview-prep
The exact command may vary by repository. Check the README on GitHub.
For the skill author
Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.
[](https://www.skillteca.com.br/skills/jd-interview-prep?utm_source=badge&utm_medium=readme&utm_campaign=badge)
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a C
Create new skills, modify and improve existing ones, and measure their performance. Use this skill for developing, editing, optimizing, testing, and benchmarking skills, as well as refining their descriptions for better triggering.
This skill clusters GitHub issue backlogs by root cause into plan-master issues, redirects related children, and bundles architectural-fix PRs to close clusters atomically. It's ideal for triaging and consolidating numerous issues sharing underlying defects, or for building a plan series or roadmap.
Captures agent actions across sessions, compresses them with AI, and injects relevant context into future interactions. Compatible with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode, and more.
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面试不是问答，是双向校准。
这一句话决定了所有后续设计。三个推论：
这个 skill 不是"问题清单 + 标准答案生成器"。是把面试还原成社会场域里的信号博弈，让用户读完后对面试这件事的理解升一个维度。
满足任一即触发：
[Description truncada. Veja o README completo no GitHub.]
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