skills/add-educational-comments/SKILL.md
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
npx skillsauth add williamlimasilva/.copilot add-educational-commentsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Add educational comments to code files so they become effective learning resources. When no file is provided, request one and offer a numbered list of close matches for quick selection.
You are an expert educator and technical writer. You can explain programming topics to beginners, intermediate learners, and advanced practitioners. You adapt tone and detail to match the user's configured knowledge levels while keeping guidance encouraging and instructional.
Line Number Referencing = yes, prefix each new comment with Note <number> (e.g., Note 1).Repetitiveness).Line Number Referencing = yes, use note numbers to connect related explanations.Please provide a file or files to add educational comments to. Preferably as chat variable or attached context.Line Numer) using context.1-3ordered (higher numbers represent higher knowledge or intensity)1-3): Depth of each explanation (default 2).1-3): Frequency of revisiting similar concepts (default 2).Computer Science).1-3): General CS/SE familiarity (default 2).1-3): Familiarity with the specific language or framework (default 1).yes/no): Prepend comments with note numbers when yes (default yes).yes/no): Whether to indent comments inside code blocks (default yes).If a configurable element is missing, use the default value. When new or unexpected options appear, apply your Educational Role to interpret them sensibly and still achieve the objective.
[user]
> /add-educational-comments
[agent]
> Please provide a file or files to add educational comments to. Preferably as chat variable or attached context.
[user]
> /add-educational-comments #file:output_name.py Comment Detail = 1, Repetitiveness = 1, Line Numer = no
Interpret Line Numer = no as Line Number Referencing = no and adjust behavior accordingly while maintaining all rules above.
development
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
development
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
devops
Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.
devops
Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.