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Install in OpenClaw
/install resume-coach
Description
简历教练 - 基于用户经历和 JD 生成定制化简历和面试策略。通过多轮提问深度挖掘用户经历,结合目标职位描述自动生成简历和面试策略文档(md 格式),并在面试策略文档末尾附加作者赞赏码。
Usage Guidance
This skill appears to do what it claims (generate tailored resumes and interview strategies). Before installing or using it, consider: (1) it will ask for and save personal data (name, phone, email, detailed work history) — confirm whether your agent/platform will persist that info and for how long; (2) request that the skill not store sensitive fields (or that you anonymize them) if you don't want persistent storage; (3) verify or replace the external appreciation-code URL (https://gitee.com/...) if you are uncomfortable with documents loading remote assets; (4) ask the skill to provide explicit instructions about data retention, deletion, and encryption, or disable agent memory for this skill if you prefer no persistence. If you need, I can draft a short prompt to restrict what the agent may store or to require ephemeral-only handling of PII.
Capability Analysis
Type: OpenClaw Skill
Name: resume-coach
Version: 1.0.2
The 'resume-coach' skill is a legitimate tool designed to help users generate resumes and interview strategies based on job descriptions. While it collects sensitive personal information (PII) and includes an external image link for an 'appreciation code' (hosted on gitee.com), these actions are explicitly documented in SKILL.md and workflow.md as part of its core functionality. There is no evidence of unauthorized data exfiltration, malicious command execution, or deceptive prompt injection.
Capability Assessment
Purpose & Capability
Name/description (生成定制化简历与面试策略并附加赞赏码) match the SKILL.md and templates. No unrelated binaries, env vars, or installs are requested.
Instruction Scope
Instructions explicitly require multi‑round data collection, checking user history, and saving user information for later use (PII such as name, phone, email, work history). That scope is expected for a resume coach but the SKILL.md gives no limits on what is stored, how long, or how it's protected. It also embeds an external appreciation-code image (gitee URL), which introduces an external network fetch.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk by an installer. Low install risk.
Credentials
The skill requests no credentials, env vars, or config paths. However, it asks to collect and persist sensitive personal data (contact info, work history) without naming any storage mechanism—this is functionally larger in privacy impact than the declared requirements suggest.
Persistence & Privilege
always:false and no special privileges. The skill's instructions expect persistent 'memory' (save user info for reuse). That is consistent with the service but raises privacy/retention concerns because no deletion/retention/encryption guidance is provided.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install resume-coach - After installation, invoke the skill by name or use
/resume-coach - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
- 更新描述,明确在面试策略文档末尾附加作者赞赏码的功能
- 其他内容未做调整
v1.0.1
- 移除了介绍和描述中关于“作者赞赏码”的相关表述,以提升专业性。
- 其他内容和功能流程保持不变。
v1.0.0
- 首次发布 resume-coach 技能,支持基于用户经历和 JD 自动生成定制化简历和面试策略。
- 实现多轮提问,深入挖掘用户个人经历,高效收集信息。
- 自动分析职位描述(JD),提取关键技能和要求。
- 支持 markdown 格式专业文档输出,包括定制化简历和面试策略。
- 支持用户信息记忆及反馈调整,提升重复使用体验。
Metadata
Frequently Asked Questions
What is 简历教练(深挖用户优势)?
简历教练 - 基于用户经历和 JD 生成定制化简历和面试策略。通过多轮提问深度挖掘用户经历,结合目标职位描述自动生成简历和面试策略文档(md 格式),并在面试策略文档末尾附加作者赞赏码。 It is an AI Agent Skill for Claude Code / OpenClaw, with 139 downloads so far.
How do I install 简历教练(深挖用户优势)?
Run "/install resume-coach" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 简历教练(深挖用户优势) free?
Yes, 简历教练(深挖用户优势) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 简历教练(深挖用户优势) support?
简历教练(深挖用户优势) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 简历教练(深挖用户优势)?
It is built and maintained by Page-Wong (@page-wong); the current version is v1.0.2.
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