3 Commits

Include renames

Author	SHA1	Message	Date
3 people	6181f1746d	feat(skill): add vLLM inference-serving skill (#247) (#267) ... * feat(skill): add vLLM inference-serving skill (#247) Add a single-tool vllm skill covering Docker/Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), the OpenAI-compatible API surface, throughput/latency benchmarking, continuous batching tuning, GPU operation, and upgrade/rollback. Ships a read-only vllm-health probe (stdlib-only, --json), fillable serving-config and benchmark-run-record templates, seven dated references with upstream sources, a human-facing README, tests, and a schema-v1 eval manifest with six cases covering config, benchmarking, and troubleshooting. Route ml-engineering to the new skill via a resolvable link alongside llama-cpp, add the vllm entry to the top-level README index, and regenerate the tracked catalogs. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com> * fix(skill): emit timeout exit 124 and bound /metrics reads in vllm-health Address the review observations on the bundled probe: requests that exceed --timeout now raise ProbeTimeout and make the tool exit 124 as documented (previously they surfaced as exit 1), and the metrics check reads at most 64 KiB of /metrics and reports truncation instead of reading the whole body. Adds tests for both behaviors. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com> --------- Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>	2026-08-03 19:31:36 -04:00
3 people	92299e1238	feat(skill): beef up ml-engineering with scripts/templates/evals (#257) ... Add a schema-valid eval manifest (6 cases: fine-tuning plan review, eval-set design, quantization decision, deployment plan, regression triage, training-run reproducibility), three fillable templates (training-run record, eval regression table, quantization decision record), a stdlib eval-set overlap/leakage checker with a unittest suite, routing to the llama-cpp tool skill, and a README Quick Start documenting the script. Closes #240. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>	2026-08-03 15:25:06 -04:00
Magnus HedemarkandGitHub	c7c4d3b74f	Port 11 methodology skills from hermes-profiles (#69) ... Engineering: backend-engineering, frontend-engineering, data-engineering, ml-engineering, platform-engineering, qa-methodology Executive: go-to-market, legal-strategy, operational-design, org-design, product-strategy ml-engineering: added missing training-infrastructure.md reference qa-methodology: added test-data-management, performance-testing, security-testing references All frontmatter converted to agent-skills convention. Source: https://github.com/magnus919/hermes-profiles	2026-07-21 00:58:26 -04:00