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Open Source Verified Architecture

ASu-skills

ASu-skills is an open‑source toolbox of AI‑powered utilities aimed at job‑search and development workflows. It bundles ready‑to‑use skills for polishing resumes, automating job applications, prepping for interviews, and boosting coding productivity, all under a single, easy‑to‑extend package with clear documentation and community‑driven extensions.

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Core Technologies & Frameworks

HTML

Technical Architecture & Specifications

### Technical Review: ASu-skills — A Modular Job Search & Dev Workflow Plugin If you use AI coding environments like Claude Code, Codex, or TraeWork to manage both software development and career pipelines, ASu-skills provides a structured, command-based framework. Rather than relying on unstructured system prompts, it exposes eight targeted entry points engineered to convert raw development activity into resume evidence, interview prep, and application tracking. --- ### Architecture and Under the Hood ASu-skills is structured as a native multi-agent plugin package rather than a standalone binary or monolithic application. Under the hood, its repository root distributes platform-specific configurations across three dedicated directories: * `.codex-plugin/` for Codex runtime integration * `.claude-plugin/` for Claude Code setups * `.trae-plugin/` for TraeWork developer environments This directory layout allows supported AI agents to discover, load, and execute localized command contexts dynamically without cross-platform overhead. --- ### The 8 Entry Points Breakdown The functional architecture relies on eight modular entry points designed to pipe data across engineering and job-seeking stages: 1. `/contributor`: Identifies open-source contribution targets, previews code diffs for human confirmation, submits pull requests, and feeds resulting contributions forward into `/great-resume`. 2. `/evidence-recap`: Analyzes LLM pair-programming chats and commit outputs to synthesize a 9-segment verifiable evidence chain for technical review. 3. `/project-guide`: Ingests code repositories to automatically output markdown artifacts, specifically `导学-{简称}.md`, `面经-{简称}.md`, and handover summaries. 4. `/great-resume`: Refines role targeting, rewrites project descriptions based on generated evidence, and generates HR outreach scripts. 5. `/make-resume`: Generates editable HTML resumes using the native ASu layout or custom user templates, offering direct PDF exports. 6. `/job-apply`: Connects directly to a browser instance to auto-fill job application portals, explicitly stopping prior to final form submission for candidate verification. 7. `/interview`: Runs predictive interview sessions, executes contract-style follow-up questions, reviews evidence gaps, and targets technical weak points. 8. `/offer`: Acts as an application tracker for campus and lateral hires, logging recruitment emails, assessments, interviews, offers, and rejections. --- ### Setup and Environment Integration Because ASu-skills maps directly to agent plugin standards, installation involves pulling the repository into your local path where your assistant reads the root-level plugin manifests: ```bash git clone https://github.com/Hisn00w/ASu-skills.git ``` Once present in your directory structure, your assistant's engine automatically loads the appropriate `.codex-plugin/`, `.claude-plugin/`, or `.trae-plugin/` definition to enable slash commands inside your active workspace session. --- ### Developer Verdict ASu-skills treats career management like an engineering pipeline. Instead of relying on manual resume writing, tools like `/evidence-recap` and `/contributor` bridge actual developer commits directly into verifiable resume metrics. The architecture enforces practical safety boundaries—such as pausing browser execution right before submitting `/job-apply` forms—making it a precise, highly reliable toolset for technical candidates.
Reviewed by DevTechPulse Editorial Board

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