graceful-shutdown
graceful-shutdown
【效率与协作】Implement graceful shutdown for servers and workers: drain connections, finish in-flight work, release resources, and exit cleanly on SIGTERM/SIGINT.
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tensorrt-llm
tensorrt-llm
【部署与运维】Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
continuous-improvement-engine-scott-margetts
continuous-improvement-engine-scott-margetts
【开发与工程】Capture, structure, and recycle lessons from active and closed legal matters. Three modes: in-flight capture (triggered by scope changes, risk events, status updates — highest value), mid-matter review (phase gates or quarterly), and matter close retrospective (full structured findings). Lessons are formatted for immediate reuse, not filed and forgot…
scope-change-controller-scott-margetts
scope-change-controller-scott-margetts
【文档与办公】Scope management for legal matters — baseline capture, in-flight change control, OOS documentation, and scope retrospective. Use when asked to review scoping assumptions, assess whether work is in or out of scope, draft a scope change notice, track scope changes, prepare an OOS justification, run an OOS report, prepare a scope call agenda, or review …
oncall-handoff
oncall-handoff
【效率与协作】Produces a complete on-call shift handoff note - shift summary, open incidents, watch items with paging thresholds, silenced alerts, in-flight changes, and escalation contacts - checked against a completeness checklist. Use when someone asks "write my on-call handoff", "what should I tell the next on-call", "my shift ends in an hour, help me hand ove…
batch-bug-shepherd
batch-bug-shepherd
【开发与工程】Use this skill to drive a batch of suspected bugs in microsoft/apm from raw issue list to mergeable PR queue. Fan out one triage subagent per issue (LEGIT / UNCLEAR / FIXED-AT-HEAD), cross-reference legit issues against open PRs, then branch: in-flight community PR -> shepherd via the apm-review-panel skill; no PR -> fix session with TDD and a mutati…
tensorrt-llm
tensorrt-llm
【部署与运维】Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
fleet-ops
fleet-ops
【开发与工程】Landing discipline for parallel work: sequential test-gated landing queue, pre-land scrub, auto-rebase of in-flight lanes, fleet status, one-shot revert, post-wave sweep. Native primitives spawn; fleet-ops lands and cleans up. Triggers: landing queue, land branches, merge queue, test gate, fleet status, land agent-team/background-agent branches, clea…
frontend-optimistic-mutations
frontend-optimistic-mutations
【设计与创意】A portable, framework-agnostic discipline for the write path of any React or React Native app using a query/cache layer. Codifies the optimistic-update lifecycle (cancel in-flight queries → snapshot every affected cache → patch instantly → roll back verbatim on error → invalidate on...
hyperflow-status
hyperflow-status
【效率与协作】Hyperflow project status. Use to see current hyperflow state — "what is hyperflow doing", "show task progress", "where are we". Read-only — reports in-flight tasks, memory count, and progress. Never modifies state or runs work.
hyperflow-status
hyperflow-status
【效率与协作】Hyperflow project status. Use to see current hyperflow state — "what is hyperflow doing", "show task progress", "where are we". Read-only — reports in-flight tasks, memory count, and progress. Never modifies state or runs work.
oncall-handoff
oncall-handoff
【效率与协作】Write a structured end-of-shift on-call handoff so the incoming engineer inherits state, not surprises. Use when asked to write an on-call handoff, oncall handover, shift handoff, pager handoff, or end-of-week SRE summary. Produces a handoff note with open incidents, watchlist alerts, in-flight investigations, recent changes, and one-line asks.
status
status
【效率与协作】Use when the user wants a one-screen view of current hyperflow project state — version, profile freshness, memory count, and live progress on every in-flight task. Read-only; never modifies state, never dispatches workers. Trigger with /hyperflow:status, "what is hyperflow doing", "show task progress", "where are we".
status
status
【效率与协作】Use when the user wants a one-screen view of current hyperflow project state — version, profile freshness, memory count, and live progress on every in-flight task. Read-only; never modifies state, never dispatches workers. Trigger with /hyperflow:status, "what is hyperflow doing", "show task progress", "where are we".
suppression-logic
suppression-logic
【效率与协作】Use to define guardrails that pause signal-driven plays when accounts are risky, saturated, or in-flight elsewhere.
tensorrt-llm
tensorrt-llm
【部署与运维】Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
tensorrt-llm
tensorrt-llm
【部署与运维】Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
tensorrt-llm
tensorrt-llm
【部署与运维】Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
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