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Tailor resumes and project bullets to a target role, quantify gaps, and prepare an interview-ready evidence map.

综合技能

作者:vx:17605205782 @52YuanChangXing

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.0

统计:⭐ 0 · 123 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal :良性 · OpenClaw :良性

Package:52yuanchangxing/resume-job-match-lab

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

The skill is internally consistent with its stated purpose: it uses a small local Python helper and a local keywords CSV to produce ATS-style keyword matches; it requests no credentials, has no remote installs, and does not perform unexpected actions.

目的

The skill's name/description (tailor resumes, rewrite bullets, gap analysis, interview evidence map) align with the included materials. The bundled script, however, only computes a keyword-based match score, top keywords, and missing keywords — it does not itself rewrite bullets or produce a full evidence map. That gap is acceptable if the LLM is intended to perform the more sophisticated text transformations using the script's structured outp…

说明范围

SKILL.md instructs the agent to use the local script and resource file and to ask for minimal user inputs. Runtime instructions do not request reading unrelated files, environment variables, or network endpoints. The helper script reads only the two user-supplied text files and writes a JSON result.

安装机制

No install spec is provided (instruction-only skill). The only declared runtime dependency is python3. There are no downloads, remote installers, or archive extraction steps in the package.

证书

The skill declares no required environment variables, no credentials, and no config paths. The code does not reference environment variables or external secrets. Requested inputs (resume text, job description, etc.) are appropriate for the stated purpose.

持久

The skill is not force-included (always: false) and does not request persistent privileges or modify other skills or system settings. It uses local, auditable files only.

综合结论

This skill appears safe and coherent: it is local, needs only python3, and asks for the resume and job description you provide. Note the included script is a small keyword matcher that outputs a score and missing keywords — the LLM is expected to generate rewritten bullets, gap analysis, and an evidence map using that output. Before using generated bullets in real applications, review them carefully (do not accept fabricated metrics or claims)…

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「resume-job-match-lab」。简介:Tailor resumes and project bullets to a target role, quantify gaps, and prepare…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/52yuanchangxing/resume-job-match-lab/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: resume-job-match-lab
description: Tailor resumes and project bullets to a target role, quantify gaps, and
  prepare an interview-ready evidence map.
version: 1.1.0
metadata:
  openclaw:
    requires:
      bins:
      - python3
    emoji: 🧰
---

# Resume Job Match Lab

## Purpose

Tailor resumes and project bullets to a target role, quantify gaps, and prepare an interview-ready evidence map.

## Trigger phrases

- 简历匹配岗位
- tailor my resume
- ATS 优化
- job match analysis
- 面试证据图

## Ask for these inputs

- resume text
- job description
- target seniority
- region/industry
- portfolio or projects if any

## Workflow

1. Extract must-have and nice-to-have requirements from the job description.
2. Score resume coverage against the keyword template.
3. Rewrite bullets to emphasize outcome, scope, and tools without fabricating claims.
4. Generate a gap analysis and interview evidence map.
5. Return both a conservative ATS version and a human-friendly version.

## Output contract

- match scorecard
- rewritten bullets
- gap analysis
- interview evidence map

## Files in this skill

- Script: `{baseDir}/scripts/resume_match.py`
- Resource: `{baseDir}/resources/ats_keywords_template.csv`

## Operating rules

- Be concrete and action-oriented.
- Prefer preview / draft / simulation mode before destructive changes.
- If information is missing, ask only for the minimum needed to proceed.
- Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
- Keep assumptions explicit.

## Suggested prompts

- 简历匹配岗位
- tailor my resume
- ATS 优化

## Use of script and resources

Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft.
Use the resource file as the default schema, checklist, or preset when the user does not provide one.

## Boundaries

- This skill supports planning, structuring, and first-pass artifacts.
- It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.


## Compatibility notes

- Directory-based AgentSkills/OpenClaw skill.
- Runtime dependency declared through `metadata.openclaw.requires`.
- Helper script is local and auditable: `scripts/resume_match.py`.
- Bundled resource is local and referenced by the instructions: `resources/ats_keywords_template.csv`.