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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
windsurf-audit-logging
Configure AI interaction audit logging for compliance. Activate when users mention "audit logging", "compliance logging", "ai interaction logs", "security audit", or "activity tracking". Handles compl
o11y-logging
Implement and verify joelclaw observability on every change so failures cannot stay silent. Use when adding/updating Inngest functions, gateway channels, webhook providers, APIs, workers, or any pipel
cli-anything-nslogger
CLI harness for NSLogger — parse, filter, export, and monitor NSLogger log files (.rawnsloggerdata / .nsloggerdata)
observability-testing-patterns
Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert
qe-observability-testing-patterns
Observability and monitoring validation patterns for dashboards, alerting, log aggregation, APM traces, and SLA/SLO verification. Use when testing monitoring infrastructure, dashboard accuracy, alert
audit
安全审计
monitoring-observability
Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse v4 LLM tracing (as_type, score_current_span, should_export_span, LangfuseMedia), and drift detection. Use whe
fiber-logging-and-project-structure
Applies best practices for logging (zerolog/zap), project structure (cmd/internal/pkg), middleware registration order, and environment configuration in Go Fiber v2/v3 applications.
monitoring-logging
Application monitoring, logging systems, and alerting
observability-monitoring
Structured logging, metrics, distributed tracing, and alerting strategies
monitoring-observability
Set up monitoring, logging, and observability for applications and infrastructure. Use when implementing health checks, metrics collection, log aggregation, or alerting systems. Handles Prometheus, Gr
debugging-output-and-previewing-html-using-ray
Use when user says "send to Ray," "show in Ray," "debug in Ray," "log to Ray," "display in Ray," or wants to visualize data, debug output, or show diagrams in the Ray desktop application.
error-handling-logging-patterns
Implement structured logging, error hierarchies, and observability patterns for production systems. Covers structured JSON logging, error classification, correlation IDs, and alerting integration. Tri
monitoring-observability
Route observability work from the current packet into one monitoring brief. Use when the main job is deciding service-health signals, telemetry rollout, dashboard/alert coverage, pipeline freshness/sc
logging-observability
Structured logging, distributed tracing, and metrics for production applications. [What: OpenTelemetry setup, log level strategy, correlation IDs, SLI/SLO alerting thresholds, Grafana dashboard design
skill-logger
Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback loops, and continuous
axiom
Expert guidance for Axiom, the serverless log management and analytics platform that stores and queries unlimited data at fixed cost. Helps developers ingest logs, traces, and events from any source,
betterstack
Expert guidance for Better Stack (formerly Better Uptime + Logtail), the observability platform combining uptime monitoring, log management, incident response, and status pages. Helps developers set u
braintrust
You are an expert in Braintrust, the evaluation and observability platform for AI applications. You help developers run systematic evaluations, compare model versions, track experiments, log productio
fluentd
Configure Fluentd for unified log collection, routing, filtering, and forwarding across distributed systems. Use when a user needs to aggregate logs from multiple sources, transform log data with filt
logstash
Configure Logstash for log ingestion, parsing, transformation, and output to Elasticsearch and other destinations. Use when a user needs to build log processing pipelines, write Grok patterns, parse u
loki
Loki is a horizontally scalable log aggregation system built by Grafana Labs. Unlike traditional log platforms that index the full text of every log line, Loki indexes only metadata labels, making it
pino
Log in Node.js with Pino. Use when a user asks to add structured logging, improve logging performance, configure log levels, format logs for production, or replace console.log with proper logging.
powertools-lambda
You are an expert in AWS Lambda Powertools, the developer toolkit for implementing serverless best practices. You help developers add structured logging, distributed tracing (X-Ray), custom metrics (C
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Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
Rate and publish
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Prefer the terminal? osr stack apply registry://starter installs the starter template.