AI & Machine Learning plugins

Harness-native ECC plugin for engineering teams - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses

Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.

Disciplined, multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. Runs a 9-phase pipeline (reframe into falsifiable hypotheses → genre/blocks → plan → capability discovery → parallel sub-agent fan-out → score & triangulate → synthesize + adversarial pass → verify → refresh targets), triangulates every thesis against >=3 independent, differently-typed sources, saves each source to its own file with verbatim quotes, and never fabricates a citation. Output is an auditable, reusable folder with a delta-update refresh protocol. Use when a wrong answer is expensive: strategy, comparing N options, hypothesis validation, mapping a field.