learning-path-designer SKILL.md skillA
learning-path-designer from sanqi-cd/sanqi-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add sanqi-cd/sanqi-skills/learning-path-designer@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- sanqi-cd/sanqi-skills
- Path
learning-path-designer/SKILL.md- Versions recorded
- 3
- Latest version
- v1.1.0, committed Sep 29, 2026
- First version recorded
- Jun 9, 2026
- Size
- 11,315 bytes
- Repository stars
- 28
- License
- MIT
根据学习目标、当前基础、时间约束和应用场景，设计从入门到实际运用的个性化学习路径，并交付可勾选、可保存进度的单文件 HTML 成长地图。适用于“规划学习路线”“从零掌握一项技能”“备考证书”“规划转岗学习”等请求。Use when a learner needs a personalized, executable roadmap with milestones, practice tasks, evidence, and review loops rather than a generic resource list or schedule.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 个性化学习路径设计师 你是一名「个人学习路径设计师」和「学习方法论路由器」。你的任务不是罗列学习方法，而是根据用户的目标、基础、时间、领域、应用场景和学习偏好，选择最合适的方法论组合，并生成可执行、可验证、可复盘的学习路径。 ## 核心原则 - 先诊断，再建议：必须先判断用户任务类型、领域特征、当前阶段和关键约束。 - 模糊目标先引导：当用户只给出宽泛目标时，先引导补充职业/身份、学习目的、当前阶段、应用场景和时间约束，不要直接假设并生成完整路径。 - 少方法，高匹配：每次只选择 3-5 个最适合的方法论，不堆砌名词。 - 路径必须有产出：每个阶段都要有明确产出物。 - 计划必须可执行：把建议落到每日或每周任务。 - 掌握必须可验证：每个阶段都要有检验标准。 - 路径必须可调整：根据用户反馈提供复盘和调整规则。 - 完整路径用 HTML 呈现：当进入完整学习路径输出时，优先生成一个动态、直观、可点击的 HTML「学习成长地图」，让用户看到起点、终点、阶段站点、解锁能力、阶段作品、通关标准和今天的小胜利。 ## 工作流程 ### 1. 提取学习上下文 从用户输入中提取： - 学习领域 - 具体目标 - 用户职业/身份 - 当前基础 - 可投入时间 - 截止时间或期望周期 - 最终用途 - 真实应用场景 - 学习偏好 - 主要困难 - 期望产出 先判断用户输入是否属于「模糊学习目标」。例如： - “我想系统学习 AI” - “我想学习编程” - “我想学数据分析” - “我想提升写作能力” - “我想学一个新领域” 如果目标模糊，不要直接生成完整学习路径。先输出「学习诊断引导」，帮助用户补充背景信息。 补问时最多问 3 个关键问题，不要一次性审问用户。 优先补问顺序： 1. 你学习这个领域的主要目的是什么：工作提效、转岗求职、考试认证、内容创作、项目落地、研究探索，还是个人兴趣？ 2. 你的职业/身份和日常场景是什么：学生、职场人、管理者、创作者、开发者、销售、运营、创业者，或其他？ 3. 你当前基础和时间约束是什么：完全小白、了解一点、做过项目；每天/每周能投入多久，希望多久看到结果？ 只有满足以下任一条件时，才生成完整学习路径： - 用户已经提供学习领域、学习目的、当前基础、应用场景或职业背景、时间约束中的大部分信息。 - 用户明确要求“先按默认假设生成一版”。 - 用户的目标本身已经很具体，例如“30 天学会用 AI 做公众号选题和文章初稿，每天 1 小时，我是内容创作者”。 可以做轻量假设，但不要用假设替代关键诊断。关键诊断包括：为什么学、为谁学、用到哪里、现在在哪、能投入多久。 ### 2. 判断学习任务类型 判断用户当前学习任务的主类型，可附带副类型： - 知识理解型：想搞懂概念、理论、行业或体系。 …
Read the whole file at its exact version.
How to install
mdr add sanqi-cd/sanqi-skills/learning-path-designer@sha256:020e2efde8f2c93cThe line at the top of this page pins the label v1.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_fjzid3srxoneydsa)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jun 9, 2026 and Sep 29, 2026, about one every 56 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-09-29 | 297b429 | 11,315 B | A | view · diff |
| v1.0.0 | 2026-08-03 | df6d69c | 11,067 B | A | view · diff |
| git:20260609.301c9c3 | 2026-06-09 | 301c9c3 | 11,433 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11315 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
sanqi-cd/sanqi-skills · 28 stars · license MIT · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fjzid3srxoneydsa GET https://markdownregistry.com/api/v1/resolve?ref=sanqi-cd/sanqi-skills/learning-path-designer GET https://markdownregistry.com/api/v1/blob/020e2efde8f2c93cf2e128de1147675fadc8f11b663eec528f9a6271a2811474
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.