{ "$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "ktg-plugin-marketplace", "owner": { "name": "Kjell Tore Guttormsen", "email": "ktg@fromaitochitta.com" }, "metadata": { "description": "Open-source Claude Code plugins for AI-assisted development, security, and planning", "version": "1.0.0" }, "plugins": [ { "name": "llm-security", "source": "./plugins/llm-security", "description": "Security scanning, auditing, and threat modeling for Claude Code projects. OWASP LLM Top 10 (2025) and Agentic AI Top 10." }, { "name": "config-audit", "source": "./plugins/config-audit", "description": "Multi-agent workflow for analyzing, reporting, and optimizing Claude Code configuration across your entire machine" }, { "name": "ultraplan-local", "source": "./plugins/ultraplan-local", "description": "Four-command context-engineering pipeline (brief → research → plan → execute) with specialized agent swarms, external research triangulation, adversarial review, session decomposition, and headless execution" }, { "name": "ultra-cc-architect", "source": "./plugins/ultra-cc-architect", "description": "Match a task brief and research against available Claude Code features (Hooks, Subagents, Skills, MCP, Plan Mode, Worktrees, Background Agents) with brief-anchored rationale and explicit coverage gaps. Includes the skill-factory authoring command. Pre-release (v0.1.0)." }, { "name": "linkedin-thought-leadership", "source": "./plugins/linkedin-thought-leadership", "description": "Build LinkedIn thought leadership with algorithmic understanding, strategic consistency, and authentic engagement. Updated for the January 2026 360Brew algorithm change." }, { "name": "graceful-handoff", "source": "./plugins/graceful-handoff", "description": "Produce session-handoff artifacts, commit and push pending work, and print a copy-paste prompt for the next session. Designed for context-constrained models like Opus 4.7." }, { "name": "ai-psychosis", "source": "./plugins/ai-psychosis", "description": "Meta-awareness tools for healthy AI interaction patterns. Detects reinforcement loops, scope escalation, narrative crystallization, and other compulsive patterns." }, { "name": "ms-ai-architect", "source": "./plugins/ms-ai-architect", "description": "Microsoft AI Solution Architect — structured architecture guidance for the full Microsoft AI stack." }, { "name": "okr", "source": "./plugins/okr", "description": "Expert OKR guidance for Norwegian public sector. Write, review, cascade, track and govern OKR based on Google/Doerr methodology adapted for 4-month tertial cycles." } ] }