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tektonc-data-collection
tektonc-data-collection contains 3 collected skills from inference-sim, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Automates BLIS LLM data collection pipeline on Tekton. Handles cluster validation, pipeline deployment, monitoring, and data retrieval. Supports custom vLLM images and observability features (journey tracing, step tracing, KV events). Use for benchmarking (/blis) or deep debugging (/blis --observability).
Automates BLIS LLM benchmarking pipeline with inference-perf harness on Tekton. Handles cluster validation, pipeline deployment, monitoring, and data retrieval. Defaults to stock vLLM; observability features (journey tracing, step tracing, KV events) are opt-in via --observability/--obs. Use for detailed request lifecycle analysis (/blis-inference-perf, /blis-ip). Outputs inference-perf metrics: per_request_lifecycle_metrics.json, stage metrics, summary.
Use when asked to view, analyze, or display results from a BLIS data collection experiment. Triggers include "show results", "download data", "view benchmark", or referencing an experiment ID.