Agent Skills: add-note

Be proactive, but intentional:

• Store CLI commands, API endpoints, error resolutions, operational gotchas, patterns, and internal processes
• Prefer small, focused, reusable notes
• If the information would save time if recalled later, it likely belongs here

What this skill does

Stores a structured knowledge note in Qdrant for retrieval by AI coding agents.

This skill uses the Qdrant MCP server via the qdrant-add-note tool.

Collection

All notes are stored in the following collection: notes-hybrid

Storage guardrails (IMPORTANT)

These rules must be followed exactly:

• Do not store test notes unless they contain a concrete, reusable learning
• Context is required unless the text is completely self-explanatory
• Only use the fields supported by the qdrant-add-note tool
• All required fields must be provided

If any rule is violated, do not store the note.

Minimum acceptable note

A note must meet at least this standard:

Required parameters:

• text: concrete command, endpoint, or learning
• context: when or why this is useful
• type: one of cli, api, learning, snippet, or pattern
• created_at: ISO-8601 timestamp

If you cannot fill in all required fields meaningfully, do not store the note.

Fields and how to use them

text (required)

The primary knowledge content.

• One command, endpoint, rule, or learning
• Must be understandable without chat history

Good examples:

• kubectl rollout restart deployment my-app -n prod
• Avoid using async forEach in Node.js; it does not await promises

Bad examples:

• testing the note system
• this worked

context (required unless self-explanatory)

Explains when, why, or how the text is useful. Include:

• Conditions
• Warnings
• Operational context

If you cannot explain the usefulness, do not store the note.

type (required)

Choose exactly one:

• cli
• api
• learning
• snippet
• pattern

tool (optional but recommended)

The tool, system, or service involved.

Examples:

• kubectl
• aws
• terraform
• internal-api
• github-actions

tags (optional)

Array of short, lowercase keywords describing concepts or domains.

Examples:

• ["kubernetes", "deployments"]
• ["auth", "debugging"]
• ["terraform", "aws"]

language (optional)

Use for code or CLI-related notes.

Examples:

• bash
• python
• yaml
• json

source (optional)

Where this knowledge applies.

Examples:

• personal-notes
• repo:infra
• service:billing
• team:platform

created_at (required)

ISO-8601 timestamp. Use the current date/time if not explicitly provided.

Tool usage

Use the qdrant-add-note MCP tool with the following parameters:

Required:

• text (string)
• context (string)
• type (string: cli | api | learning | snippet | pattern)
• created_at (string: ISO-8601 timestamp)

Optional:

• tool (string)
• tags (array of strings)
• language (string)
• source (string)

The tool handles vector generation and storage automatically.

Pre-store quality checklist

Before storing, confirm:

• Would another agent benefit from this in 30 days?
• Is the note understandable without chat history?
• Does context clearly explain when or why it applies?
• Is this more than a test or confirmation?

If any answer is no, do not store the note.

Agent reminder

When in doubt:

Check existing notes first. Store only what improves future decisions.