Monitoring
Logging, metrics, and observability
thor-skills
by NextronSystems
Entry point and router for THOR-related work: running scans, analyzing THOR logs, troubleshooting THOR behavior, maintaining THOR installs, THOR Lens workflows, writing THOR plugins (v11+), and creating custom signatures/IOCs.
pai-monitor
by krishagel
Monitor Personal AI Infrastructure repo for updates and identify improvement opportunities for Geoffrey. Use when you want to sync Geoffrey with PAI's latest patterns, packs, or architectural decisions.
rabbitmq-master
by mOdrA40
Ultimate RabbitMQ expertise skill for production-grade message broker architecture, implementation, and operations. Top 0.01% knowledge covering: (1) Advanced messaging patterns - Dead Letter Exchanges, Delayed Messages, Priority Queues, Consistent Hash Exchange, Sharding, (2) High Availability - Clustering, Quorum Queues, Stream Queues, Federation, Shovel, (3) Performance Engineering - prefetch tuning, connection pooling, batch publishing, memory optimization, flow control, (4) Security - TLS/mTLS, OAuth2, LDAP, certificate rotation, (5) Monitoring - Prometheus metrics, custom health checks, anomaly detection, (6) Troubleshooting - memory alarms, network partitions, queue backlogs, consumer starvation, (7) Multi-tenancy - vhost design, resource limits, isolation patterns, (8) Event-driven architectures - CQRS, Event Sourcing, Saga patterns with RabbitMQ. Use when: building messaging systems, debugging RabbitMQ issues, optimizing performance, designing HA architectures, implementing advanced patterns, production hardening, capacity planning, migration strategies.
golang-mastery-skill
by mOdrA40
Principal/Senior-level Go (Golang) playbook for architecture, idiomatic code, concurrency, testing, performance, reliability, security, observability, and production readiness. Use when: designing services/APIs/CLIs, doing large refactors, running code reviews, debugging races/leaks, tuning performance, hardening security, and shipping to production.
clawdbot-monitor
by krishagel
Monitor Clawdbot repo for updates and identify improvement opportunities for Geoffrey. Use when comparing Geoffrey to Clawdbot patterns, skills, or features.
wfc-observe
by sam-fakhreddine
Translates formal system properties (SAFETY, LIVENESS, INVARIANTS, PERFORMANCE) from a PROPERTIES.md file into observability definition snippets (metric definitions, alert rule conditions, dashboard panel fragments). REQUIRES: A specification file (default: PROPERTIES.md) containing properties with quantifiable numeric bounds. USE FOR: Generating metric definition snippets, alert condition logic (PromQL), and dashboard panel JSON fragments based on formal specs. NOT FOR: Writing application instrumentation logic (inserting metrics into .py/.go files); generating high-cardinality metrics (user IDs, emails); properties enforced at compile-time (static analysis); setting up monitoring infrastructure (Terraform/Helm); incident triage.
Managing Side Effects Functionally
by whatiskadudoing
Master functional approaches to side effects including IO types, effect isolation, idempotent operations, and quarantining impure code - essential patterns for reliable TypeScript applications
x-algo-engagement
by CloudAI-X
Reference for X algorithm engagement types and signals. Use when analyzing engagement metrics, action predictions, or understanding what signals the algorithm tracks.
electrobun-debugging
by rajavijayach
Development workflow, debugging, and troubleshooting for Electrobun desktop applications. This skill covers debugging the main process (Bun) and webview processes, Chrome DevTools integration, console logging strategies, error handling, performance profiling, memory leak detection, build error troubleshooting, common runtime errors, development environment setup, hot reload configuration, source maps, breakpoint debugging, network inspection, WebView debugging on different platforms, native module debugging, and systematic debugging approaches. Use when encountering build failures, runtime errors, crashes, performance issues, debugging RPC communication, inspecting webview DOM, profiling CPU/memory usage, troubleshooting platform-specific issues, or setting up development workflow. Triggers include "debug", "error", "crash", "troubleshoot", "DevTools", "inspect", "breakpoint", "profiling", "performance issue", "build error", "not working", or "logging".
pricing-strategy
by aiaiohhh
"When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy."
ab-test-setup
by aiaiohhh
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
agent-cost-optimizer
by adaptationio
Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict costs, enforce budget caps ($50-70/month typical), optimize model selection, cache results, measure cost-to-value. Use when tracking AI costs, preventing budget overruns, optimizing spend, measuring ROI, or ensuring cost-effective AI operations.
reinforcement-drills
by 10x-Anit
Use to queue practice reps, certifications, and accountability cadences
Observability & Monitoring
by ArieGoldkin
Structured logging, metrics, distributed tracing, and alerting strategies
ab-test-setup
by phrazzld
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
debugging
by samhvw8
"Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims."
check-payments
by phrazzld
Multi-provider payment audit. Runs check-stripe, check-bitcoin, check-lightning. Outputs consolidated findings. Use log-*-issues to create GitHub issues. Invoke for: comprehensive payment review, multi-provider audit.
check-observability
by phrazzld
Audit observability: error tracking, logging, health checks, analytics. Outputs structured findings. Use log-observability-issues to create issues. Invoke for: monitoring audit, logging review, alerting gaps.
trace-annotation-tool
by maragudk
Generate a custom trace annotation web app for open coding during LLM error analysis. Use when the user wants to review LLM traces, annotate failures with freeform comments, and do first-pass qualitative labeling (open coding). Also use when the user mentions "annotate traces", "trace review tool", "open coding tool", "label traces", "build an annotation interface", "review LLM outputs", or wants to manually inspect pipeline traces before building a failure taxonomy. This skill produces a tailored Python web application using FastHTML, TailwindCSS, and HTMX.
mlops-experiment
by levy-n
MLOps and experiment tracking for reproducible ML workflows. Covers MLflow, Weights & Biases (W&B), TensorBoard, hyperparameter tuning (Optuna, Ray Tune), model registry, experiment versioning, and production deployment patterns. Use when user asks about 'MLflow', 'W&B', 'Weights and Biases', 'experiment tracking', 'hyperparameter tuning', 'Optuna', 'model registry', 'TensorBoard', 'reproducibility', 'model versioning', 'ML pipeline', 'model deployment', 'logging', 'wandb', or 'Ray Tune'.
spec
by inkeep
"Drive an evidence-driven, iterative product+engineering spec process that produces a full PRD + technical spec (often as SPEC.md). Use when scoping a feature or product surface area end-to-end; defining requirements; researching external/internal prior art; mapping current system behavior; comparing design options; making 1-way-door decisions; planning phases; and maintaining a live Decision Log + Open Questions backlog. Triggers: spec, PRD, proposal, technical spec, RFC, scope this, design doc, end-to-end requirements, phase plan, tradeoffs, open questions."
speckit-implement-zh
by forztf
通过测试与验证为先的方式，按序执行并实现已批准的规范提案。用于实施变更、应用提案、执行规范任务或按已批准计划构建。触发词包括 "speckit-implement", "speckit开发", "开发", "实施" "实现提案", "应用变更", "执行规范", "按顺序完成任务", "构建功能", "开始实施"。
debug:dotnet
by SnakeO
Debug ASP.NET Core and .NET applications with systematic diagnostic approaches. This skill covers troubleshooting dependency injection container errors, middleware pipeline issues, Entity Framework Core query problems, configuration binding failures, authentication/authorization issues, and startup failures. Includes Visual Studio and VS Code debugging, dotnet-trace, dotnet-dump, dotnet-counters tools, Serilog configuration, Application Insights integration, and four-phase debugging methodology.
debug:vue
by SnakeO
Debug Vue.js 3 application issues systematically. This skill helps diagnose and resolve Vue-specific problems including reactivity failures with ref/reactive, component update issues, Pinia store state management problems, computed property caching bugs, Teleport/Suspense rendering issues, and SSR hydration mismatches. Provides Vue DevTools usage, console debugging techniques, Vite dev server troubleshooting, and vue-tsc type checking guidance.