streaming-inference-setup

Streaming Inference Setup - Auto-activating skill for ML Deployment. Triggers on: streaming inference setup, streaming inference setup Part of the ML Deployment skill category.

1.02x

Quality

Does it follow best practices?

Impact

97%

1.02x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/streaming-inference-setup/SKILL.md

Evaluation results

100%

Real-Time Text Generation Service

Production-ready streaming server

Criteria

Without context

With context

Streaming protocol

100%

Error handling

100%

Request validation

100%

Logging

100%

Health check endpoint

100%

Model loaded at startup

100%

Externalized configuration

100%

Correct streaming headers

100%

Generation limits

100%

Step-by-step README

100%

Without context: $0.4282 · 1m 52s · 21 turns · 22 in / 6,782 out tokens

With context: $0.5238 · 2m 29s · 27 turns · 26 in / 8,452 out tokens

94%

Visibility into Production Inference Service

Monitoring and observability setup

Criteria

Without context

With context

Latency metric

100%

Throughput metric

100%

Error rate metric

100%

Standard metrics format

100%

Structured logging

50%

80%

Health or readiness endpoint

100%

Alert rules defined

100%

Response validation

70%

60%

Resource metrics

50%

100%

Numbered setup steps

100%

Without context: $0.7110 · 3m 27s · 28 turns · 28 in / 13,083 out tokens

With context: $0.7965 · 3m 29s · 30 turns · 29 in / 13,597 out tokens

99%

-1%

Reusable MLOps Pipeline Template for Streaming Inference

End-to-end MLOps pipeline coverage

Criteria

Without context

With context

Model serving stage

100%

MLOps pipeline stages

100%

Monitoring component

100%

Production optimization

100%

Validation step

100%

Model versioning

100%

Rollback or safe deployment

100%

Production-ready config

100%

90%

Numbered pipeline guide

100%

All four domains covered

100%

Without context: $1.4772 · 6m 15s · 45 turns · 44 in / 27,022 out tokens

With context: $1.4624 · 6m 28s · 43 turns · 43 in / 26,961 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: f17dd51

Evaluated: 18 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Real-Time Text Generation Service Visibility into Production Inference Service Reusable MLOps Pipeline Template for Streaming Inference

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