Bridge the ComfyUI anime image pipeline into the chat SSE stream so image generation renders inline in the chat bubble. Use when: changing how image-generation events reach the chat UI, editing the force_image_bridge gate or the SSE forwarder in stream.py, touching cancel / GPU-leak handling (GeneratorExit → request_cancel → /free), the error_class taxonomy, the Phase 1b thinking-block nesting, or the Phase 3 WS live-preview; debugging why an image turn stalls, double-renders, leaks VRAM, or shows the wrong error; or running the PR4 verification harness. This subsystem deliberately spans services/chatbot/ AND app/image_pipeline/.
Choose which repository skill to activate for a given task. Use when: starting any chatbot, MCP, config, or docs task to determine the best skill or skill combination; reviewing whether the right skills were applied; or deciding whether to combine multiple skills for a cross-cutting change.
Repository maintenance and coding-agent instructions for AI-Assistant.
Reason about the impact of chatbot/core changes on GitHub workflows, tests, security scans, and CI behavior. Use when: adding or changing routes, tools, providers, or dependencies; reviewing a PR that might affect CI; debugging CI failures after a chatbot change; checking whether a code change needs a workflow or docs update; or auditing workflow assumptions after startup or env changes.
Map changed files to the smallest sufficient verification set. Use when: deciding which tests to run after a code change, explaining why a test scope is enough, or choosing between unit tests, integration tests, and manual checks.
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"
Keep documentation aligned with runtime behavior. Use when: changing ports, entry points, startup commands, env variables, service responsibilities, or removing/renaming scripts. Requires a runtime-vs-docs comparison before finalizing any change that alters observable behavior.
Work safely with provider configuration, API keys, model routing, and environment dependencies for the core chatbot. Use when: adding or changing an LLM provider, modifying API key loading, changing model defaults or fallback chains, debugging missing-key errors, reviewing config drift across .env files, or checking whether a provider change affects tools or docs.