LLM evaluation & inference performance testing via the evalscope CLI. Translates natural language requests into evalscope commands for: (1) Model accuracy evaluation — runs 160+ benchmarks against local checkpoints or API endpoints (OpenAI-compatible, Anthropic, LiteLLM); (2) Performance stress testing — TTFT, TPOT…
Use this skill to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.
Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM…
Use to run AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, and to deploy vss-auto-calibration when needed. Do not use for non-AMC calibration or runtime analytics.
Use when designing a new benchenv task suite, adding several new tasks to an existing suite, or critiquing a task-set proposal for a mobile-gym App — before any class FooTask(...) is written under benchenv/task/.
Use when adding or modifying offline judge tests for benchenv tasks — specifically entries in OFFLINEJUDGEPOSITIVECASES / OFFLINEJUDGENEGATIVECASES in benchenv/tests/ /testtasks.py, or writing live tests. Triggers after a new task is added, or when tightening judge coverage.
Use when writing or modifying checkgoals() / getanswer() / App check methods in benchenv/task/, or when reviewing a draft task's judge correctness. Triggers include adding a new task, editing a judge method, or diagnosing a judge false-positive/negative.
Use when interacting with a Bubbaloop deployment via its MCP server — guides the discovery → control → automation workflow and prevents the most common mistakes (MCP polling for streaming data, missing Bearer token, ignoring RBAC tier).
Manage physical sensors, cameras, and actuators via the bubbaloop skill runtime. Query real-time sensor data, control node lifecycle, and monitor hardware health.