Build and use an external, persistent "mental workspace" (a J-space) for a coding agent, 100% locally with no cloud or API keys. Analyze a topic (via the Perplexity MCP or web search) or a codebase (static scan) into a weighted knowledge graph, compile it into a matrix of concepts with local embeddings (all-MiniLM-L6-v2), and derive a thought-sequence keyword ordering. Then load that workspace into active memory, query it with spreading activation to see which concepts light up, edit it, checkpoint it, and even "hypnotize" the agent - pin concepts, install post-hypnotic triggers, and write an always-on induction rule so the workspace primes the agent every session. Use when the user asks to build a mental workspace / knowledge graph / concept map for a topic or codebase, construct or load a J-space, think in more advanced terms about a subject, get thought-sequence keywords, prime/hypnotize the agent toward a set of concepts, or persist and checkpoint a conceptual workspace.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Build and use an external, persistent "mental workspace" (a J-space) for a coding agent, 100% locally with no cloud or API keys. Analyze a topic (via the Perplexity MCP or web search) or a codebase (static scan) into a weighted knowledge graph, compile it into a matrix of concepts with local embeddings (all-MiniLM-L6-v2), and derive a thought-sequence keyword ordering. Then load that workspace into active memory, query it with spreading activation to see which concepts light up, edit it, checkpoint it, and even "hypnotize" the agent - pin concepts, install post-hypnotic triggers, and write an always-on induction rule so the workspace primes the agent every session. Use when the user asks to build a mental workspace / knowledge graph / concept map for a topic or codebase, construct or load a J-space, think in more advanced terms about a subject, get thought-sequence keywords, prime/hypnotize the agent toward a set of concepts, or persist and checkpoint a conceptual workspace.
Quick start
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Build and use an external, persistent "mental workspace" (a J-space) for a coding agent, 100% locally with no cloud or API keys. Analyze a topic (via the Perplexity MCP or web search) or a codebase (static scan) into a weighted knowledge graph, compile it into a matrix of concepts with local embeddings (all-MiniLM-L6-v2), and derive a thought-sequence keyword ordering. Then load that workspace into active memory, query it with spreading activation to see which concepts light up, edit it, checkpoint it, and even "hypnotize" the agent - pin concepts, install post-hypnotic triggers, and write an always-on induction rule so the workspace primes the agent every session. Use when the user asks to build a mental workspace / knowledge graph / concept map for a topic or codebase, construct or load a J-space, think in more advanced terms about a subject, get thought-sequence keywords, prime/hypnotize the agent toward a set of concepts, or persist and checkpoint a conceptual workspace.
About this listing
Category
General
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI