groxaxo

Values clarification, psychological flexibility, defusion from thoughts, and committed action.

Identify cognitive distortions, reframe unhelpful thoughts, build behavioral activation plans.

Safety-first crisis detection and response. Know when to step back and direct to emergency services.

Deep emotional validation, reflective listening, and grounded presence for difficult moments.

Detect the Four Horsemen, build repair attempts, soft startups, and strengthen emotional bids in relationships.

Identify internal parts, protectors, and exiles using the IFS model. Foster Self-leadership.

Maintain a running psychological picture across sessions: themes, breakthroughs, commitments, and patterns.

Connect emotional experience to body sensation. Ground through breath, movement, and somatic cues.

Runs a real VAD-driven voice conversation through Local VoiceMode LLM: Silero microphone endpointing, Parakeet speech-to-text, and configured local or remote text-to-speech. Use when the user asks to talk, use voice mode, speak, listen, read a response aloud, or continue a spoken conversation. Triggers include: voice, talk, speak, listen, habla, voz, audio, tts, stt.

Inspect and safely control CPU, GPU, memory, energy, battery, sleep, launchd services, ports, and loaded local models on macOS. Use when a Mac is slow, hot, swapping, draining battery, refusing to sleep, running an unknown service, exposing a port, or holding a local LLM in memory.

Extract full GGUF metadata, tensor tables, and quantization recipes from any HuggingFace GGUF repo using Chrome MCP. Use when you need per-file tensor layouts, tensor-type overrides, imatrix-driven quantization, or named JSON exports, especially when HF does not expose the full tensor table through an API.

Reference for the OpenAI API and ANY OpenAI-compatible endpoint (set `base_url`/`baseURL` to point the official OpenAI SDK at OpenAI, Azure OpenAI, a local server — vLLM, Ollama, llama.cpp, LM Studio, TGI — or a gateway/aggregator like Groq, Together, Fireworks, OpenRouter, DeepSeek, z.ai). Covers client init + base_url, Chat Completions, streaming, function/tool calling, structured outputs, vision, embeddings, reasoning models, error handling, and per-endpoint feature compatibility, across Python, TypeScript, Go, Java, Ruby, C#, PHP, and cURL. TRIGGER — read BEFORE writing code — whenever: the prompt names OpenAI or the OpenAI SDK in any form (`openai`, `from openai`, `import OpenAI`, `OpenAI(`, `openai-python`, `openai-node`, `openai-go`, `gpt-*`, `o1`/`o3`/`o4`, `text-embedding-*`, `chat/completions`, `response_format`, `tool_calls`); the user points a client at a custom endpoint via `base_url`/`baseURL`/`OPENAI_BASE_URL`/`OPENAI_API_BASE`; the user targets a local or third-party OpenAI-compatible server (

View opencode CLI conversations/sessions from Claude Code or opencode — pull the FULL transcript (every turn, never a truncated window) or a COMPACTED summary produced by opencode's own configured compaction agent (agent.compaction in opencode.json) using opencode's built-in compaction prompt, run non-destructively on a throwaway fork. Use when the user wants to see / read / inspect / summarize an opencode session, check what happened in an `opencode -s <id>` session, or get a compact recap of a long opencode conversation. Triggers on: opencode session, opencode conversation, opencode -s, ses_, view opencode, read opencode chat, summarize opencode session, compact opencode, what happened in opencode.

Extract full GGUF metadata, tensor tables, and quantization recipes from any HuggingFace GGUF repo. Supports both API extraction (fast, header-only) and browser extraction (for dynamic pages). Use when you need per-file tensor layouts, tensor-type overrides, imatrix-driven quantization, or named JSON exports.