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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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180 results
Skill

linkerd

Linkerd lightweight service mesh for Kubernetes. Use when the user needs automatic mTLS, traffic splitting, retries, and observability with minimal resource overhead and operational complexity.

by terminalskillsskills.sh
Not rated yet
Free
Skill

log-analyzer

Analyze application logs, server logs, and error traces to identify root causes, patterns, and anomalies. Use when debugging production incidents, investigating error spikes, parsing crash reports, or

by terminalskillsskills.sh
Not rated yet
Free
Skill

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

by terminalskillsskills.sh
Not rated yet
Free
Skill

new-relic

Set up and manage New Relic for full-stack observability including APM, browser monitoring, infrastructure monitoring, and alerting. Use when a user needs to instrument applications, write NRQL querie

by terminalskillsskills.sh
Not rated yet
Free
Skill

observability-setup

Set up end-to-end observability for microservices. Use when someone asks to "add tracing", "set up monitoring", "configure OpenTelemetry", "build Grafana dashboards", "distributed tracing", "structure

by terminalskillsskills.sh
Not rated yet
Free
Skill

otel-js

Instrument Node.js apps with OpenTelemetry. Use when a user asks to add distributed tracing, collect metrics, instrument HTTP requests, trace database queries, or set up observability for microservice

by terminalskillsskills.sh
Not rated yet
Free
Skill

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.

by terminalskillsskills.sh
Not rated yet
Free
Skill

portkey

You are an expert in Portkey, the AI gateway that sits between your app and LLM providers. You help developers add caching, fallbacks, load balancing, request retries, guardrails, semantic caching, bu

by terminalskillsskills.sh
Not rated yet
Free
Skill

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

by terminalskillsskills.sh
Not rated yet
Free
Skill

sentry

Assists with monitoring application errors, performance, and user experience using Sentry. Use when integrating Sentry SDKs, configuring alerting, analyzing stack traces, uploading source maps, or tra

by terminalskillsskills.sh
Not rated yet
Free
Skill

signoz

Expert guidance for SigNoz, the open-source observability platform that provides traces, metrics, and logs in a single UI. Built natively on OpenTelemetry, SigNoz is a self-hosted alternative to Datad

by terminalskillsskills.sh
Not rated yet
Free
Skill

structlog-python

Add structured logging to Python with structlog. Use when a user asks to implement structured logging, add context to Python logs, configure log processing pipelines, or replace standard logging with

by terminalskillsskills.sh
Not rated yet
Free
Skill

telegraf

Configure Telegraf as a metrics collection agent for infrastructure and application monitoring. Use when a user needs to collect system metrics, set up input plugins for databases and services, config

by terminalskillsskills.sh
Not rated yet
Free
Skill

traceloop

You are an expert in Traceloop and its OpenLLMetry SDK, the open-source observability framework that extends OpenTelemetry for LLM applications. You help developers instrument AI pipelines with automa

by terminalskillsskills.sh
Not rated yet
Free
Skill

vector

Expert guidance for Vector, the high-performance observability data pipeline built in Rust by Datadog. Helps developers collect, transform, and route logs, metrics, and traces from any source to any d

by terminalskillsskills.sh
Not rated yet
Free
Skill

weave

You are an expert in Weave, the lightweight toolkit by Weights & Biases for tracking and evaluating AI applications. You help developers trace LLM calls, evaluate outputs, compare model versions, trac

by terminalskillsskills.sh
Not rated yet
Free
Skill

zipkin

Deploy and configure Zipkin for distributed tracing and request flow visualization. Use when a user needs to set up trace collection, instrument Java/Spring or other services with Zipkin, analyze serv

by terminalskillsskills.sh
Not rated yet
Free
Skill

android-performance-observability

Measure startup, rendering, memory, jank, vitals, logs, and crash signals for Android apps with actionable traces.

by krutikjainskills.sh
Not rated yet
Free
Skill

android-performance-observability

Measure startup, rendering, memory, jank, vitals, logs, and crash signals for Android apps with actionable traces.

by krutikjainskills.sh
Not rated yet
Free
Skill

azure-observability-baseline

Wire Azure-native monitoring for Odoo on ACA with Application Insights, Log Analytics, and alert rules

by InsightpulseaiGitHub
Not rated yet
Free
Skill

groq-observability

Set up observability for Groq integrations: latency histograms, token throughput, rate limit gauges, cost tracking, and Prometheus alerts. Use when instrumenting Groq API calls, building a metrics das

by gabrielmoreiraGitHub
Not rated yet
Free
Skill

observability

Observability in CritterBids: pre-production OTEL posture, audit tags, Grafana starting points, and telemetry suppression. Use when wiring traces, metrics, dashboards, or audit tags.

by erikshaferGitHub
Not rated yet
Free
Skill

implementing-runtime-security-with-tetragon

Implement eBPF-based runtime security observability and enforcement in Kubernetes clusters using Cilium Tetragon for kernel-level threat detection and policy enforcement.

by aj-omanaiGitHub
Not rated yet
Free
Skill

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

by majiayu000GitHub
Not rated yet
Free
1

Find

Search or browse by kind. Every card shows who made it, how many people installed it and what they think.

2

Install

One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.

3

Rate and publish

Leave a star rating after you have used it. Made something useful? Publish it - free listings go live immediately.

Prefer the terminal? osr stack apply registry://starter installs the starter template.