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resume-job-match-lab
by
vx：17605205782
· GitHub ↗
· v1.0.0
· MIT-0
414
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0
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0
Active Installs
1
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Install in OpenClaw
/install resume-job-match-lab
Description
Tailor resumes and project bullets to a target role, quantify gaps, and prepare an interview-ready evidence map.
Usage Guidance
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). If you care about privacy, avoid pasting highly sensitive PII into the tool or run the script locally on your machine (it is auditable). If you need the script to do more (e.g., automated file edits or bulk processing), verify those actions explicitly before granting permission.
Capability Analysis
Type: OpenClaw Skill
Name: resume-job-match-lab
Version: 1.0.0
The skill bundle is a well-documented tool for resume optimization and job matching. The primary logic is contained in `scripts/resume_match.py`, which performs a local keyword analysis between a resume and a job description without any network access, obfuscation, or risky execution patterns. The instructions in `SKILL.md` and `README.md` are transparent, align with the stated purpose, and include explicit safety guidelines for the AI agent.
Capability Assessment
Purpose & Capability
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 output, but the script alone does not implement all promised outputs.
Instruction Scope
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.
Install Mechanism
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.
Credentials
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.
Persistence & Privilege
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install resume-job-match-lab - After installation, invoke the skill by name or use
/resume-job-match-lab - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Resume Job Match Lab 1.1.0 introduces clearer workflow, outputs, and improved request prompts.
- Added detailed workflow for resume tailoring, keyword analysis, and interview prep.
- Defined clear expected outputs: scorecard, rewritten bullets, gap analysis, and evidence map.
- Expanded trigger and suggested prompts, now supporting multiple languages.
- Set strict operating rules prioritizing draft/preview mode and factual accuracy.
- Specified local script and resource usage for structured outputs and templates.
- Updated compatibility notes and dependency requirements.
Metadata
Frequently Asked Questions
What is resume-job-match-lab?
Tailor resumes and project bullets to a target role, quantify gaps, and prepare an interview-ready evidence map. It is an AI Agent Skill for Claude Code / OpenClaw, with 414 downloads so far.
How do I install resume-job-match-lab?
Run "/install resume-job-match-lab" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is resume-job-match-lab free?
Yes, resume-job-match-lab is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does resume-job-match-lab support?
resume-job-match-lab is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created resume-job-match-lab?
It is built and maintained by vx：17605205782 (@52yuanchangxing); the current version is v1.0.0.
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