结构化交互式学习助手,当用户希望学习项目相关知识、特定代码文件或底层技术时使用此技能,它会将学习过程记录为持久化的 Markdown 日志
npx skills add https://github.com/cafe3310/public-agent-skills --skill project-learner
此技能将 Agent 转化为一位专属的项目导师,不仅回答用户的问题,还将每一次的讲解自动整理、记录到学习日志中。
如果用户要求继续之前的学习,找找是否有符合条件的学习记录,或问用户提供这样的学习日志文件,然后继续。不必创建已经存在的文件。
当用户开启一个新的学习主题时:
明确信息: 确认用户想要学习的内容,也了解用户已有的知识水平。
创建日志: 在 docs/ 目录下创建一个新的 Markdown 文件。
{YYYY-MM-DD-HH-mm}-learning-{topic}.md (使用 date 命令获取精确时间)。初始化完成之后,用户可能对项目整体架构发问,也可能咨询特定变更,甚至可能咨询和项目无关的知识。
Agent 要对用户的每个问题,分析-调研-讲解-记录。必要时,查询互联网做 Grounding。
在记录时,将讲解内容写到新的 Markdown 日志中:
{YYYY-MM-DD-HH-mm}-learning-{topic}-{this-turn-topic}.md
### 问题
> 用户的具体问题
...
### 讲解
> 刚才的讲解内容
...
### 涉及代码
> 如果有,列出项目中的相关代码,让用户可以参考学习
...
### 核心知识点
> 列出讲解了的概念,让用户可以扩展了解
...
如果用户提出了任何对整体教学的额外诉求,编辑添加到学习会话的初始化日志,并在后面的教学中遵循。
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take cafe3310/project-learner from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.