control-metalayer-loop

Create and maintain a control-system metalayer for autonomous code-agent development in any repository. Use when you need explicit control primitives (setpoints, sensors, controller policy, actuators, feedback loop, stability and entropy controls), repo command/rule governance, and a scalable folder topology that lets agents operate safely and keep improving over time.

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Repositorio: broomva/control-metalayer
Última actividad en el origen: 18 de marzo de 2026 a las 21:27
Idioma detectado de SKILL.md: inglés
Estrellas: 1
Forks: 0

Opciones de instalación

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npx skills add https://github.com/broomva/control-metalayer --skill control-metalayer-loop

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control-metalayer

Umbrella skill package containing three complementary skills for persistent consciousness in autonomous AI agent development — control primitives and behavioral governance, agent consciousness architecture, and knowledge graph memory. Install individual skills or use the full stack to give stateless agent sessions the accumulated understanding of all prior sessions. Part of the Broomva Stack (Layers 1-2).

2026-06-28

agent-consciousness

Persistent consciousness architecture for autonomous AI agent development. Synthesizes three substrates — control metalayer (behavioral governance), Obsidian knowledge graph (declarative memory), and conversation log bridge (episodic memory) — into a self-evolving context layer. Use when designing agent memory systems, implementing cross-session context persistence, building knowledge graphs for AI agents, setting up conversation history capture, or architecting feedback loops that let agents learn from prior sessions. Triggers on "agent memory", "session persistence", "knowledge graph", "conversation history", "consciousness stream", "cross-session context", "agent learning", or "self-evolving development".

2026-03-19

knowledge-graph-memory

Bridge Claude Code conversation logs to an Obsidian knowledge graph for persistent agent memory. Transforms .entire/ event logs and ~/.claude/ transcripts into searchable, wikilinked markdown docs with full conversation threads, tool call details, and session metadata. Use when setting up conversation history capture, configuring knowledge graph traversal for agents, building episodic memory from session logs, or connecting agent work to an Obsidian vault. Triggers on "conversation history", "session logs to obsidian", "knowledge graph memory", "agent episodic memory", "conversation bridge", "session documentation", or "knowledge traversal".

2026-03-19

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name	control-metalayer-loop
description	Create and maintain a control-system metalayer for autonomous code-agent development in any repository. Use when you need explicit control primitives (setpoints, sensors, controller policy, actuators, feedback loop, stability and entropy controls), repo command/rule governance, and a scalable folder topology that lets agents operate safely and keep improving over time.