773 free skills
Observability skills
Skills for observability — structured logging, distributed tracing, metrics dashboards, alerting, and incident response runbooks.
Sourced from real, public repositories — synced daily, never invented.
773 free skills
Skills for observability — structured logging, distributed tracing, metrics dashboards, alerting, and incident response runbooks.
Sourced from real, public repositories — synced daily, never invented.
15 tools across six categories
13 of them never send your data anywhere
Free · No signup · No trial clock
SEE THE DIRECTORY
environmental-monitoring
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Monitor environmental conditions on construction sites. Track air quality, noise levels, vibration, dust, and weather to ensure compliance and worker safety.
dt-setup-ios
dynatrace/dynatrace-for-ai
Set up the Dynatrace iOS SDK (OneAgent) in an iOS project using Swift Package Manager. Automates adding the SPM dependency, creating a Dynatrace.plist configuration file, adding the import statement, adding privacy opt-in code, and building the project. Use this skill when the user wants to integrate, install, add, or set up Dynatrace monitoring in their iOS app. Keywords: Dynatrace, iOS, SDK, OneAgent, setup, install, integrate, SPM, Swift Package Manager, Info.plist, DTXApplicationID, DTXBeaconURL, mobile monitoring, RUM.
dt-setup-android
dynatrace/dynatrace-for-ai
Instruments an existing Android project (Kotlin or Java) with the Dynatrace Mobile Agent for basic monitoring. Covers zero-to-first-event setup only: Gradle plugin, agent config, and user privacy opt-in. Do not use for advanced Dynatrace configuration beyond initial instrumentation.
sentry-ruby-setup
getsentry/sentry-agent-skills
Setup Sentry in Ruby apps. Use when asked to add Sentry to Ruby, install sentry-ruby gem, or configure error monitoring for Ruby applications, Rails, or Sidekiq.
detecting-privilege-escalation-attempts
mukul975/anthropic-cybersecurity-skills
Detect privilege escalation attempts across Windows and Linux, including access token manipulation, UAC bypass, unquoted service path abuse, kernel exploits, and sudo/doas abuse. Use when threat hunting for T1068-style privilege escalation, triaging EDR/SIEM alerts on suspicious privilege changes, scoping compromise during incident response, or validating detection coverage in a purple team exercise.
ratel-observability-assessment
ratel-ai/skills
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cmux-orchestration
pedronauck/skills
Orchestrate Claude Opus and Codex GPT-5.5 worker TUIs from a controller agent in the current cmux workspace. Use when delegating bounded tasks to worker panes, running plan-first delegations (Claude Code plan mode, Codex Plan mode), monitoring and tracking worker state, or verifying worker reports. Not for end-user cmux control (see cmux, cmux-workspace) — this drives agent workers.
docs-kibana-release-notes
elastic/elastic-docs-skills
Convert raw Kibana release notes tool output into Stack release notes (Elastic Observability or Elastic Security) using GitHub PR context and prior release notes. Use when drafting or editing Stack 9.x release notes from the Kibana release notes generator output.
site-activity
webflow/webflow-skills
Query and summarize site activity logs for a Webflow enterprise site. Surfaces recent changes, identifies who made them, and generates human-readable activity reports. Use for site monitoring, change tracking, publish preparation, or weekly activity summaries. Enterprise plans only.
exploring-llm-clusters
posthog/skills
Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.
metacognitive-prompt-library
garethmanning/education-agent-skills
Build a library of metacognitive prompts targeting planning, monitoring, or evaluation for a specific task. Use when developing students' thinking-about-thinking during independent work.
sentry-ios-swift-setup
getsentry/sentry-agent-skills
Setup Sentry in iOS/Swift apps. Use when asked to add Sentry to iOS, install sentry-cocoa SDK, or configure error monitoring for iOS applications using Swift and SwiftUI.
monitoring-logging
miles990/claude-software-skills
Application monitoring, logging systems, and alerting
progress-monitoring-cv
datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Monitor construction progress using computer vision. Analyze site photos and drone imagery to track work completion, detect safety issues, and compare against BIM models.
self-regulation-scaffold-generator
garethmanning/education-agent-skills
Generate scaffolds supporting student self-regulation across planning, monitoring, and evaluation phases. Use when students struggle to manage their own learning during extended or independent tasks.
metacognitive-monitoring-ai-contexts
garethmanning/education-agent-skills
Design metacognitive checkpoints that prevent AI-assisted learning from bypassing genuine understanding. Use when students use AI tools and may overestimate their own comprehension.
detecting-dns-exfiltration-with-dns-query-analysis
mukul975/anthropic-cybersecurity-skills
Detect data exfiltration via DNS tunneling (tools like iodine, dnscat2, dns2tcp) by analyzing query entropy, subdomain length, query volume to single domains, TXT/CNAME/NULL record abuse, and oversized response payloads using passive DNS monitoring and statistical/ML methods. Use when hunting for covert DNS-based data exfiltration or building a passive DNS anomaly detection capability.
go-middleware
existential-birds/beagle
Idiomatic Go HTTP middleware patterns with context propagation, structured logging via slog, centralized error handling, and panic recovery. Use when writing middleware, adding request tracing, or implementing cross-cutting concerns.
io-bound-data-processing
pproenca/dot-skills
Processing, transforming, or moving datasets that may exceed RAM on a single low-compute box — covers memory discipline (streaming, generators, dtype shrinkage), I/O access patterns (sequential vs random, mmap, async), data formats (Parquet vs CSV vs JSON, predicate pushdown), chunking & batching, spill-to-disk (external merge sort, DuckDB/Polars), pipelining (bounded queues, backpressure, checkpointing), codec selection (zstd/lz4/gzip), concurrency for I/O-bound workloads (asyncio, threads, prefetch), and observability (iowait vs CPU%, rows/sec, py-spy/strace). Trigger on "process a large file", "stream this", "out-of-core", "OOM kill", "this is slow", or code with `pd.read_csv` of multi-GB files, `requests.get(...).content` on big bodies, `BytesIO` on unbounded inputs, per-row INSERTs, sequential `requests.get` loops, falling `tqdm` rates — even if I/O or memory isn't mentioned. Complement to computer-science-algorithms.
yutori-api-monitor
yutori-ai/yutori-mcp
Set up monitoring for API changes, changelogs, or documentation updates. Useful for tracking breaking changes in services you depend on.
watchman-monitoring
membranedev/application-skills
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dotnet-structured-logging
wshaddix/dotnet-skills
Designing log pipelines. Aggregation, structured queries, sampling, PII scrubbing, correlation.
spring-cloud
partme-ai/full-stack-skills
Provides comprehensive guidance for Spring Cloud microservices including service discovery, configuration management, load balancing, circuit breakers, API gateways, and distributed tracing. Use when the user asks about Spring Cloud, needs to build microservices, implement service discovery, or work with Spring Cloud components.
authoring-release-runbook
bm629/agent-skills
>
sentry-setup-ai-monitoring
getsentry/agent-skills
Setup Sentry AI Agent Monitoring in any project. Use when asked to monitor LLM calls, track AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI/Pydantic AI. Detects installed AI SDKs and configures appropriate integrations.
monitoring-alerting-commerce
finsilabs/awesome-ecommerce-skills
Track store health in real time with dashboards for checkout success rate, payment failures, cart errors, and custom SLO alerting
reviewing-release-runbook
bm629/agent-skills
>
nemo-relay-plugin-observability
nvidia/skills
Use this skill when choosing or configuring NeMo Relay 0.6 or 0.7 observability through the built-in plugin, subscribers, or exporters, including raw ATOF events, ATIF trajectories, OpenTelemetry, OpenInference, or custom event handling.
traceway-setup
tracewayapp/traceway
Analyze and instrument repositories for Traceway observability. Use when the user wants to plan, add, migrate, or verify Traceway or OpenTelemetry monitoring for backend, browser, full-stack, mobile or iOS, or AI-agent software, including project topology and user-approved setup-plan creation. Backends use OTLP/HTTP; browser frontends and independently released mobile clients use separate Traceway SDK projects. Accept either an existing project token and instance URL or an organization setup token (`tws_...`) and URL; with no token, analyze first and guide setup-token acquisition. Treat any `tws_` token as a setup token.
rss-automation
aaaaqwq/agi-super-team
RSS feed aggregation and monitoring. Parse RSS/Atom feeds, filter entries,
macbook-metrics-setup
davidondrej/skills
Replicate the macbook-metrics setup on any Mac — a local, always-on system-metrics collector (CPU, GPU, RAM, disk, network, battery, thermals) built as a Swift CLI, run by launchd every 60s, stored in SQLite, and backed up to a private GitHub repo. Use when someone wants long-term Mac performance tracking, asks how macbook-metrics works, or wants to set up the same monitoring on a new machine. Differentiator: covers the full architecture and setup ideology, not day-to-day querying of an existing install.
instrument-llm-analytics
posthog/ai-plugin
>-
Hyperbot Trading Analytics
develophyperbotnetwork/hyperbot-skills
Provides cryptocurrency trading data analytics including smart money tracking, whale monitoring, market data queries, and trader statistics. Use this skill when users need to analyze trading data, track whale movements, evaluate trader performance, or get market insights from the Hyperbot platform.
aws-cloudformation-cloudwatch
giuseppe-trisciuoglio/developer-kit
Provides AWS CloudFormation patterns for CloudWatch monitoring, metrics, alarms, dashboards, logs, and observability. Use when creating CloudWatch metrics, alarms, dashboards, log groups, log subscriptions, anomaly detection, synthesized canaries, Application Signals, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and CloudWatch best practices for monitoring production infrastructure.
fmea-analysis
ddunnock/claude-plugins
Conduct Failure Mode and Effects Analysis (FMEA) for systematic identification and risk assessment of potential failures in designs, processes, or systems. Supports DFMEA (Design), PFMEA (Process), and FMEA-MSR (Monitoring & System Response). Uses AIAG-VDA 7-step methodology with Action Priority (AP) risk assessment replacing traditional RPN. Use when analyzing product designs for potential failures, evaluating manufacturing process risks, conducting proactive risk assessment, preparing for APQP/PPAP submissions, investigating field failures, or when user mentions "FMEA", "failure mode", "DFMEA", "PFMEA", "severity occurrence detection", "RPN", "Action Priority", "design risk analysis", or needs to identify and prioritize potential failure modes with their causes and effects.
webflow-mcp:site-activity
webflow/webflow-skills
Query and summarize site activity logs for a Webflow enterprise site. Surfaces recent changes, identifies who made them, and generates human-readable activity reports. Use for site monitoring, change tracking, publish preparation, or weekly activity summaries. Enterprise plans only.
instrument-logs
posthog/ai-plugin
>-
15-social-listening
minhnv0807/ai-business-skills
Dung khi can theo doi lien tuc nguoi ta noi gi ve thuong hieu, doi thu va nganh tren mang xa hoi — bo tu khoa giam sat, phan loai sac thai, bao cao tuan va thang, canh bao som, chi so brand health. Kich hoat khi user nhac 'social listening', 'theo doi thuong hieu', 'giam sat mang xa hoi', 'brand monitoring', 'khach dang noi gi ve minh', 'do sentiment', 'co ai nhac ten shop khong', 'canh bao som khung hoang'. Khong dung cho — khung hoang DA XAY RA va can xu ly ngay thi dung skill 66-crisis-playbook; mo xe chien luoc mot doi thu cu the thi dung skill 08-nghien-cuu-doi-thu; doc so lieu ads va web thi dung skill 13-phan-tich-du-lieu.
scrapesocial-instagram
skillatlas/skills
Use when the user wants Instagram research or workflow guidance for lead generation, influencer discovery, brand monitoring, competitor analysis, content analytics, trend research, or audience analysis, including profile analysis, feed collection, post or reel inspection, transcript extraction, comment analysis, reel discovery, highlight retrieval, or embed generation.
observability
dralgorhythm/claude-agentic-framework
Implement observability solutions. Use when setting up monitoring, logging, or tracing. Covers OpenTelemetry, metrics, and alerting.
trial-scheduling-and-deadline-monitoring
thuyran/legal-skills-chinese
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transaction-monitoring
vyayasan/kyc-analyst
>
grafana-billing
nodnarbnitram/claude-code-extensions
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
hugging-face-vision-trainer
huggingface/skills
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.
data-quality
majesticlabs-dev/majestic-marketplace
Quality dimensions, scorecards, distribution monitoring, and freshness checks. Use for data validation pipelines and quality gates.
bd-cuj
bitdriftlabs/bd-skills
Set up Critical User Journey (CUJ) monitoring in bitdrift. Deploys a complete observability stack: path discovery (sankey), conversion funnel, completion rate SLO, key step duration alerting, session capture, and a two-tab dashboard. Trigger when a user wants to monitor a journey end-to-end, track conversion and drop-off, measure step duration, or set up SLOs on a business-critical flow such as checkout, onboarding, login, or search.
dnr-respond
anthropics/defending-code-reference-harness
Incident response workup for a lead in hand — an alert, an IOC,
customer-trust-dashboard
gtmagents/gtm-agents
Reporting framework for monitoring trust, sentiment, and regulator-facing
scraperapi-price-monitoring
scraperapi/scraperapi-skills
>-
channel-pacing-guardrails
gtmagents/gtm-agents
Guardrail framework for monitoring spend, efficiency, and CAC thresholds
usage-health-scorecard
gtmagents/gtm-agents
Framework for monitoring activation, engagement, and monetization guardrails.
purview-communication-compliance
vinayaklatthe/microsoft-security-skills
Guidance for Microsoft Purview Communication Compliance — detecting and remediating policy violations and risky/inappropriate messages across Exchange, Teams, Viva Engage, and connected platforms, including AI prompt risks. Covers policy design, privacy controls, and remediation workflow. WHEN: communication compliance, monitor messages, detect harassment or sensitive info in chat, code of conduct policy, regulatory communication monitoring, Teams message compliance, pseudonymization reviewers.
ai-observability
rrezartprebreza/spring-boot-skills
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maintaining-macos-health
codealive-ai/ai-driven-development
Hands-on playbook for macOS disk cleanup, dev-machine optimization, and proactive health alerting. Use when the Mac is full or slow, when a process persistently burns CPU, when a kernel panic / watchdog timeout / vm-compressor-space-shortage / Jetsam event happened, when the user asks to free disk space, audit storage, set up disk/memory/CPU alerts, or restore the same monitoring on a new Mac. Built around Mole (`mo` CLI) for safety guards plus a custom LaunchAgent-based alerter for active warnings. Covers Apple Silicon laptops with heavy AI/Docker workloads. Not for general macOS support, hardware diagnostics, networking issues, GUI / window-manager bugs, Time Machine recovery, or broken app installs.
clrs-algorithms
grndlvl/software-patterns
Data structures and algorithms reference based on CLRS. Use this skill when implementing, discussing, or choosing data structures or algorithms. Auto-activates for algorithm selection, complexity analysis, and performance optimization. Comprehensive coverage of fundamental and advanced data structures with pseudocode examples.
sentry-monitoring
oimiragieo/agent-studio
Sentry error tracking and performance monitoring for real-time visibility into application errors, performance issues, and release health
ops-monitor
davepoon/buildwithclaude
Unified APM and monitoring surface. Polls Datadog, New Relic, and OpenTelemetry backends for active alerts, error traces, and entity health. Use --watch for live polling every 60 seconds. Use --setup to configure monitoring credentials.
monitoring
chaterm/terminal-skills
监控与告警
prometheus-api
julianobarbosa/claude-code-skills
Query and interact with Prometheus HTTP API for monitoring data. Use when Claude needs to query Prometheus metrics, execute PromQL queries, retrieve targets/alerts/rules status, access metadata about series/labels, manage TSDB operations, or troubleshoot monitoring infrastructure. Supports instant queries, range queries, metadata endpoints, admin APIs, and alerting information.
deploying-osquery-for-endpoint-monitoring
mukul975/anthropic-cybersecurity-skills
Deploys and configures osquery for real-time endpoint monitoring using