An intelligent assistant that converts fragmented project experiences into structured, job-specific resumes using industry-standard frameworks like STAR.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install resume-project-summarizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install resume-project-summarizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Resume Project Summarizer?
The Resume Project Summarizer is a sophisticated tool within the Openclaw Skills ecosystem designed to bridge the gap between messy workplace documentation and polished professional resumes. It allows developers, product managers, and designers to input raw data from sources like Feishu documents, WeChat logs, or even OCR-recognized images, which it then processes into structured narratives.
By leveraging advanced semantic analysis, the skill focuses on quantifiable results and role-specific keywords. This ensures that your experience is not just summarized, but optimized for both human recruiters and automated tracking systems in the competitive internet industry.
Resume Project Summarizer Use Cases
- Converting fragmented intern experiences at major tech firms into structured project blocks.
- Consolidating scattered documentation from internal wikis like Feishu or Yuque into a cohesive career history.
- Tailoring a single project experience to suit different job tracks like Product Management versus Data Analysis.
- Automating the extraction of technical KPIs and performance metrics from raw engineering reports.
How Resume Project Summarizer Works
- Multi-source data ingestion: The skill accepts document links, file uploads (PDF/Word), or raw text as input.
- Intelligent extraction: It identifies core structural fields including company, role, technology stack, and business background.
- Semantic denoising: It automatically filters out non-essential daily tasks like meetings or administrative chores to focus on impact.
- STAR-based optimization: Extracted data is restructured into Situation, Task, Action, and Result formats.
- Role alignment: The final resume is finalized based on specific industry tracks such as Frontend Dev, UX Design, or Growth Operations.
Resume Project Summarizer Setup
To integrate this capability into your environment, use the CLI command provided by Openclaw Skills:
openclaw install resume-project-summarizer
After installation, you can trigger the summarizer by providing a link to your project documentation or uploading a draft file for analysis.
Resume Project Summarizer Data Schema & Taxonomy
The skill organizes data into a structured hierarchy to ensure metadata consistency:
| Section | Data Type | Description |
|---|---|---|
| Basic Info | Metadata | Captures company name, role, and chronological timeline. |
| Project Context | Markdown | Defines business goals, core problems, and target users. |
| Responsibilities | List | Maps specific tech stacks or tools to personal contributions. |
| Results | Quantitative | Stores metrics such as QPS, DAU, ROI, or performance gains. |
| Skill Tags | Taxonomy | Categorizes hard skills and soft skills for ATS optimization. |
Resume Project Summarizer Advanced Features
- Intelligent de-duplication: Merges similar project descriptions across different versions to maintain the most complete record.
- Automated Interview Prediction: Generates 10-15 potential interview questions based on the technical challenges identified in your projects.
- Cross-Platform OCR: Recognizes and extracts text from screenshots of project dashboards or older resume images.
- Support for high-concurrency technical metrics extraction, specifically for backend engineering roles.
SKILL.md
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