Anytype Mind

Convert assistant conversations into typed Anytype objects and persistent brain-note memories.

23|2|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/imcvampire/anytype-mind --skill anytype-mind
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Anytype Mind
Source: https://github.com/imcvampire/anytype-mind/tree/main
Command: npx skills add https://github.com/imcvampire/anytype-mind --skill anytype-mind

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

AI assistants forget prior context, so your goals, wins, decisions, and evidence don’t compound across sessions.

Core Features & Use Cases

  • Structured memory in Anytype: Stores work notes, decisions, incidents, 1:1 notes, and brain notes as typed objects with required properties and relations.
  • MCP-powered action: Uses the Anytype MCP server to search, create, and update objects, ensuring the vault is kept consistent.
  • Session workflow hooks: Loads “North Star”, active work, recent changes, and enforces post-tool validation and session end checklists.
  • Specialized subagents: Detect uncaptured wins, load topic context, cross-link missing relations, profile people, prep review briefs, reconstruct Slack evidence, and audit vault integrity.
  • Slash command surface: Provides end-to-end commands for standups, dumping freeform info, wrapping up, incident capture, reviews, Slack scans, and auditing.

Quick Start

Copy SKILL.md to CLAUDE.md, configure Anytype MCP in your AI tool, then start a morning kickoff with /standup.

Frequently Asked Questions about Anytype Mind

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I persist AI assistant conversations as structured knowledge management objects?

You can persist AI assistant conversations by converting them into typed Anytype objects using the Anytype MCP server, which validates required properties and relations to maintain a consistent knowledge vault across sessions.

What is the best way to prepare for a performance review using past work history?

Preparing for a performance review involves gathering reconstructed Slack and GitHub evidence, detecting uncaptured wins, and structuring 1:1 notes into typed Anytype objects to generate a comprehensive review brief.

How does context compaction work when saving session workflows to a knowledge vault?

Context compaction works by loading active work and recent changes via Claude hook scripts, then orchestrating the session lifecycle to store decisions and brain notes as persistent typed objects in Anytype.

Do I need the Anytype MCP server to structure incident documentation from chat logs?

Yes, the Anytype MCP server is required to search, create, and update typed objects for incident documentation, ensuring the vault enforces post-tool validation and accurate relation cross-linking.

Can I capture freeform Slack and GitHub evidence into typed objects without manual formatting?

Yes, specialized subagents automatically reconstruct Slack and GitHub evidence, extract relevant details, and format them into typed Anytype objects with required properties without manual structuring.

What are the limitations of relying on Claude hook scripts for knowledge management orchestration?

The limitation is that Claude hook scripts only orchestrate session lifecycles and load context within active AI tool sessions, meaning the structured capture process cannot run autonomously outside of that environment.