ASu-skills is a plugin package containing eight separate AI-assisted workflows for job seeking and software development. Users can apply them to make resumes, prepare for interviews, track recruitment, learn projects, document evidence, and contribute to open source. The catalogue add-ons are the plugin’s skills, instructions, and setup files for supported coding agents.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Hisn00w/ASu-skillsnpx agentmods add skills/hisn00w/asu-skills/project-guideWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hisn00w/asu-skills/project-guide)<a href="https://agentmods.dev/skills/hisn00w/asu-skills/project-guide"><img src="https://agentmods.dev/badge/skills/hisn00w/asu-skills/project-guide/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hisn00w/asu-skills/project-guide"><img src="https://agentmods.dev/badge/skills/hisn00w/asu-skills/project-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00094 | $0.02663 |
| Opus 5 | $0.00047 | $0.01332 |
| Sonnet 5 | $0.00019 | $0.00533 |
| Haiku 4.5 | $0.00009 | $0.00266 |
Grade A, and why
project-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/project-guide：项目导学 + 项目面经
基于用户提供的项目仓库、项目描述、技术栈和求职方向，把真实项目整理成两份可落盘的 Markdown：导学-{简称}.md 和 面经-{简称}.md。本技能关注“项目如何学、如何讲、如何被追问”，不替用户编造公司、职位、数据、上线结果或个人职责。
路由边界
- 需要从项目仓库或项目材料生成学习路径、源码阅读顺序、项目亮点、项目面经成稿：使用
/project-guide。 - 只需要把经历改成简历 bullet、岗位定位或 HR 开场白：使用
/great-resume。 - 已经有简历，需要模拟面试、预测问题或逐轮追问掌握度：使用
/interview。 - 需要生成可编辑 HTML/PDF 简历：使用
/make-resume；未指定模板时默认使用 ASu 模板，也可以在请求中指定其他模板。 - 需要寻找开源贡献候选、准备 diff 或提交 PR：使用
/contributor。
输入契约
优先从当前工作区读取项目事实，再结合用户材料。缺少关键信息时最多追问 3 个高信号问题；用户要求先出初稿时，允许用 待补 标注缺口。
| 字段 | 必须 | 说明 |
|---|---|---|
| 项目描述 | 是 | 背景、目标、职责、难点、结果；越具体越好 |
| 简称 | 强烈建议 | 用于文件名 导学-{简称}.md、面经-{简称}.md |
| 技术栈 | 否 | 语言、框架、中间件、观测、发布方式 |
| 求职方向 | 否 | 前端、后端、AI、数据、产品或交叉方向 |
项目材料不足时，优先追问：
- 你在项目中的个人职责和协作边界是什么？
- 项目最能展开的技术难点是什么，解决前后的现象如何验证？
- 是否有指标、日志、PR、截图、上线记录或用户反馈可以作为证据？
可选脚本：
python3 scripts/project_guide.py check --file description.txt --tech "React, TypeScript" --role "前端"
python3 scripts/project_guide.py build-prompt --short-name "智能BI" --description "..." --tech "..." --role "..."
简历 bullet 约束
生成 面经-{简称}.md 前，先对照 领域中立 Bullet few-shot。few-shot 只用于学习表达结构，不得复制其中的项目名、数字、领域名词或指标。
简历 bullet 必须先抽取 4-6 个架构支柱，再成稿。每条一级 bullet 必须以 **通用支柱名：** 开头，随后写清：
- 问题或演进：为什么原形态不够好。
- 机制：采用了什么通用工程机制，以及它如何工作。
- 约束或边界：超时、并发、幂等、降级、观测、扩展点等。
- 结果：可验证的架构变化或真实指标；没有证据时写测量计划，不编造数字。
支柱名必须是外部面试官能理解的架构或工程能力，例如分层容错、可扩展编排、请求可靠性治理。项目实现名不能直接充当支柱名；RunManager、Stream Bridge、execution id 这类实现名应改写为通用表达，或下沉到源码证据索引。
删除“提升性能 / 提高稳定性 / 优化体验”等不可验证结果；私有函数、路径、内部枚举和业务黑话只进入源码证据索引。
硬性交付
必须在用户指定的目标项目根目录，或当前打开的工作区根目录，写入两个文件：
| 文件 | 内容 |
|---|---|
导学-{简称}.md |
项目学习路径、源码阅读顺序、核心原理、设计决策和验证建议 |
面经-{简称}.md |
简历可用摘要、面试题、第一人称 STAR 口播、追问和源码证据索引 |
{简称} 使用用户给定值；未给时从项目名称或描述中提炼 2-8 个字。不得包含 / \ : * ? " < > | 等路径非法字符。
如果当前环境无法写入文件，在对话中输出两个独立 Markdown 代码块，并标明目标文件名。
导学文件结构
导学-{简称}.md 按以下顺序输出：
- 前置知识（面试高频标注）
- 表格列：知识点 / 为何需要 / 在本项目中的位置 / 高频度。
- 重点亮点与学习顺序（先看这个）
- 3-6 条。
- 表格列：亮点标题 / 为什么重要 / 通用技术关键词 / 先看哪些文件 / 建议学习顺序。
- 亮点标题优先使用通用工程表达，例如状态建模、异步编排、缓存一致性、性能治理、容错降级、观测与定位。
- 必备知识点
- 精简 checklist。
- 推荐阅读（结合仓库）
- 表格列：主题 / 通用技术点 / 建议阅读位置 / 预计时间 / 读完能回答什么。
- 每条建议阅读位置必须写项目相对路径；未知时写
仓库未提供路径，待补。
- 自学提醒
- 固定包含：若某文件或原理看不懂，请继续追问 AI；本技能负责给学习路径与题目，不提供逐行讲解。
- 项目技术定位
- 前端 / 后端 / AI / 数据 / 产品 / 交叉 + 一句依据。
- 核心原理解析
- 3-6 条，使用“问题 -> 机制 -> 在本项目中的落点”。
- 关键设计决策
- 备选 / 取舍 / 风险 / 验证。
- 量化与验证（含待测，建议）
- 用建议语气说明怎么测；暂无数据时写
待测。
- 用建议语气说明怎么测；暂无数据时写
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed · +2 tokens per session 3c6fc35e7ad9
- 9d ago First seen · 186 lines · 92 tokens per session scan A 6c4e8a822483
project-guide is a skill published in the GitHub repository Hisn00w/ASu-skills (3,998 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 2,663 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.