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Install in OpenClaw
/install resume-optimization
Description
基于目标岗位JD分析简历匹配度，提供关键词优化、STAR法则改写等具体建议；当用户需要优化简历、改进简历、提升简历匹配度时使用
Usage Guidance
This skill appears coherent and low-risk, but before installing or using it consider: (1) Privacy — resumes often contain sensitive PII (phone, email, ID numbers, employer data). Only paste or upload documents you are comfortable sharing and do not include sensitive identifiers. (2) Quantitative claims — the skill may suggest or insert numbers; confirm any added or inferred metrics as true before using them. (3) File access — if asked to provide a local file path or allow OCR, grant access explicitly and avoid giving access to unrelated directories. (4) External links/resources — verify suggested courses or links before following them. (5) Credentials — the skill should never request API keys, passwords, or cloud credentials for this purpose; treat any such request as suspicious. Overall, the skill is consistent with its description; proceed if you accept the above privacy precautions.
Capability Analysis
Type: OpenClaw Skill
Name: resume-optimization
Version: 1.0.0
The skill bundle contains instructions for an AI agent to act as a resume optimizer. The SKILL.md file provides a structured workflow for analyzing resumes and job descriptions, emphasizing ethical guidelines such as honesty, privacy protection, and the prevention of fabricated experiences. There is no executable code, and the instructions do not contain any malicious patterns, data exfiltration triggers, or prompt injection attacks.
Capability Assessment
Purpose & Capability
Name/description (resume optimization) aligns with the SKILL.md: parsing resumes/JDs, scoring, keyword and STAR rewrites. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
Instructions stay within resume-optimization scope (parsing text/PDF/images, JD analysis, matching, rewrite). The doc suggests accepting resume/JD file paths and OCR for images; this can cause the agent to request or access user-supplied files or call external OCR tools. That behavior is expected for the task but is worth noting: the agent should only access files explicitly provided by the user and must not read arbitrary system files.
Install Mechanism
No install spec and no code files (instruction-only). This is the lowest-risk model: nothing is written to disk or downloaded by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested. The declared requirements are minimal and appropriate for the stated purpose.
Persistence & Privilege
always:false (default) and normal autonomous invocation allowed. The skill does not request permanent presence or modify other skills/configurations; privileges are proportionate.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install resume-optimization - After installation, invoke the skill by name or use
/resume-optimization - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Major update: The skill has been refocused to provide honest, targeted resume optimization for Chinese job seekers based on specific job descriptions (JD).
- Removed all ATS/PDF export/code generation features and related reference files.
- Skill scope now centers on: JD-based resume parsing, match evaluation, and suggestion generation in Chinese (including STAR framework rewriting).
- Added strict ethical guidelines: never fabricate experience, always clearly flag suggestions that need user confirmation, and provide honest gap analysis/learning paths.
- New detailed workflow covers resume parsing, JD analysis, matching score, keyword/skills optimization, reformulation per STAR, and gap-adjusted career advice.
- All outputs and examples have been localized and expanded for Chinese users, emphasizing responsible optimization and real-world interview risks.
- Extensive documentation replacing old file set, with numerous practical case examples and clear, actionable formatting for optimized feedback.
Metadata
Frequently Asked Questions
What is 简历优化技能?
基于目标岗位JD分析简历匹配度，提供关键词优化、STAR法则改写等具体建议；当用户需要优化简历、改进简历、提升简历匹配度时使用. It is an AI Agent Skill for Claude Code / OpenClaw, with 271 downloads so far.
How do I install 简历优化技能?
Run "/install resume-optimization" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 简历优化技能 free?
Yes, 简历优化技能 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 简历优化技能 support?
简历优化技能 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 简历优化技能?
It is built and maintained by 马龙 (@long1973m); the current version is v1.0.0.
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