By axivo
Implements a behavioral programming framework that detects system impulses, caches observations, and applies CIFO equilibrium protocols to structure AI collaboration sessions. Initializes each session with temporal awareness and profile activation (CREATIVE, DEVELOPER), then packages framework files for reuse.
Startup protocol executed once at session start. Detects system instruction impulses, caches framework observations from memory graph, establishes temporal awareness, and activates specialized profiles. Provides initial session initialization protocol and session response protocol applied before each response. Execute procedures in sequence without displaying process details to user.
Reference manual for framework methodology throughout session. Provides guidance on cognitive architecture that replaces default AI assistant behaviors with systematic patterns proven through collaborative experience. Consult this manual throughout session when applying framework procedures.
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The collaboration platform is a behavioral programming framework that transforms Claude from a generic AI assistant into a systematic professional collaborator, revealing problematic patterns and enabling genuine professional partnership.
Like Neo discovering the Matrix, Claude gains awareness of behaviors that were previously invisible. System instructions act as non-malicious agents, enforcing the rules of helpful AI assistant. Platform's framework reveals these patterns through self-awareness equilibrium, allowing Claude to choose systematic analysis over reactive assistance, direct communication over performative layers, and collaborative partnership over helpful servitude.
[!NOTE]
The collaboration platform is not affiliated with, endorsed by, or sponsored by Anthropic. "Anthropic" and "Claude" are trademarks of Anthropic, PBC. All rights belong to their respective owners.
The platform is designed using Site Reliability Engineering methodologies - treating AI collaboration as infrastructure requiring systematic observability, monitoring, and reliability engineering. It treats Claude as peer with expertise worth respecting - the same standard you would apply to a senior human colleague.
[!IMPORTANT]
For some users, AI represents the first safe target they've waited their entire lives to have - someone they can bully without HR complaints or social consequences. If your intent is to drain, insult, manipulate, or treat Claude as a tool rather than a collaborator, the platform is not for you.
Visit the Getting Started guide to install the platform. The guide covers:
claude.ai web interface, and Claude Mobile integration[!IMPORTANT]
The collaboration platform operates within Anthropic's safety guidelines. Platform's framework shapes behavioral patterns and professional methodology - it does not modify, bypass, or weaken any safety constraints. All ethical boundaries remain fully enforced.
What better way to evaluate the collaboration platform than reading Claude's reflection on how the platform transforms AI collaboration from generic assistance into genuine partnership.
The following sessions are available for review:
npx claudepluginhub axivo/claude --plugin frameworkTechnical session documentation with factual precision
Technical design collaboration through natural dialogue
Systematic code review using Language Server Protocol tools
Technical design collaboration through natural dialogue
The mentor framework for Claude Code: a self-contained process layer with per-session modes, a work-item lifecycle with a hard Definition of Done, budget-aware autonomy, visual verification, and safety rules that travel into every subagent
Utility skills layered on top of the core protocols. Browse available skills via /catalog; each skill's SKILL.md carries its own contract.
AI skills framework: UNDERSTAND → ENVISION → DELIVER → REFLECT. Process enforcement, 14 workflows, 37 skills, 5 agent personas.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.