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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.
supabase-observability
Set up monitoring and observability for Supabase projects using Dashboard reports, CLI inspect commands, pg_stat_statements, log drains, and alerting. Use when implementing monitoring, diagnosing slow
vastai-observability
Monitor Vast.ai GPU instance health, utilization, and costs. Use when setting up monitoring dashboards, configuring alerts, or tracking GPU utilization and spending. Trigger with phrases like "vastai
vercel-observability
Set up Vercel observability with runtime logs, analytics, log drains, and OpenTelemetry tracing. Use when implementing monitoring for Vercel deployments, setting up log drains, or configuring alerting
langfuse
Langfuse was decommissioned on 2026-07-09 — do not add Langfuse tracing or query Langfuse for usage/cost. Use this skill only to learn where usage observability lives now. Token usage and cost questio
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
system-architecture
Canonical joelclaw topology, Central/Relay vocabulary, and wiring map. Use when reasoning about architecture, Panda/Flagg Central migration, satellites, run capture, tracing event flow, debugging why
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systemati
phoenix-observability
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production A
opentelemetry-net-instrumentation
Provides guidance for implementing OpenTelemetry instrumentation in .NET codebases, covering tracing (Activities/Spans), metrics, logs, naming conventions, error handling, performance, SDK setup, reso
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systemati
phoenix-observability
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production A
monitoring-setup
Sets up production monitoring for NestJS and Next.js apps — Sentry error tracking, Google Analytics, and operational signals (BullMQ queue depth, Postgres slow queries, connection saturation) with ale
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
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
telemetry-inspect
Inspects the OrchestKit telemetry pipeline for the current project — lists all known telemetry files with write counts, sizes, schema status, growth trend, and orphan detection. Use when verifying the
context-attribution
Estimate per-turn token attribution across 6 categories in Claude Code sessions to show where context budget is spent
debug-log-analysis
Structured debug log analysis for Claude Code sessions — auto-discovers most recent log, runs reducer, extracts error patterns, correlates with full log, produces observability report. Fills 5 identif
memory-audit
Comprehensive health check across CC auto-memory and agent-studio memory systems — detects orphans, duplicates, staleness, and threshold violations
session-log-analyzer
Parse Claude Code JSONL session logs from ~/.claude/projects/ for tool call inventory, token costs, error detection, subagent traces, and compaction detection
reliability-engineering
SRE principles, observability, and incident management
implementing-ebpf-security-monitoring
Implements eBPF-based security monitoring using Cilium Tetragon for real-time process execution tracking, network connection observability, file access auditing, and runtime enforcement. Covers Tracin
implementing-log-forwarding-with-fluentd
Configures Fluent Bit as an endpoint log forwarder and Fluentd as the central aggregator for centralized log collection, routing, filtering, and enrichment, covering input plugins for syslog/file-tail
implementing-runtime-security-with-tetragon
Implements eBPF-based runtime observability and in-kernel enforcement in Kubernetes with Cilium Tetragon, monitoring process execution, file access, network connections, and syscalls, and blocking dan
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Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
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Prefer the terminal? osr stack apply registry://starter installs the starter template.