监控
日志、指标与可观测性
root-cause-investigation
nimrodfisher
Systematic investigation of metric changes and anomalies. Use when a metric unexpectedly changes, investigating business metric drops, explaining performance variations, or drilling into aggregated metric drivers.
seo-monitoring
kostja94
When the user wants to build an SEO data analysis system, monitor indexing/traffic/keywords/backlinks, or set up benchmarks. Also use when the user mentions "SEO data analysis," "SEO monitoring," "article database," "traffic benchmark," "penalty recovery," "SEO work document," "SEO dashboard," "keyword tracking," "ranking monitoring," "indexing report," or "backlink monitoring."
windows-remote-desktop-connection-doctor
daymade
Diagnose Windows App (Microsoft Remote Desktop / Azure Virtual Desktop / W365) connection quality issues on macOS. Analyze transport protocol selection (UDP Shortpath vs WebSocket), detect VPN/proxy interference with STUN/TURN negotiation, and parse Windows App logs for Shortpath failures. This skill should be used when VDI connections are slow, when transport shows WebSocket instead of UDP, when RDP Shortpath fails to establish, or when RTT is unexpectedly high.
debugging-network-issues
daymade
Evidence-driven investigation for network, streaming, and protocol-layer bugs. Use when debugging connection resets (ECONNRESET, HTTP/2 RST_STREAM, INTERNAL_ERROR), SSE or long-polling stalls, fixed-time connection drops, CDN/proxy/CGNAT idle timeouts, or any incident where symptoms do not match the obvious cause. Applies falsification-first methodology — layered isolation experiments to pin down the responsible network layer, env-gated runtime instrumentation for non-invasive observation, and counter-review agent teams to challenge single-cause assumptions. Strongly trigger on "socket closed unexpectedly", "stream interrupted", "ECONNRESET", "HTTP/2 INTERNAL_ERROR", "fails after N seconds", "works sometimes but not always", "upstream silent for X seconds", or any scenario where the investigator might jump to conclusions before evidence. Generalizes to any multi-layer system investigation where assumption-first thinking is the failure mode.
business-metrics-calculator
nimrodfisher
Standard business metric calculation with industry benchmarks. Use when calculating SaaS metrics (MRR, churn, LTV, CAC), e-commerce KPIs, or product analytics metrics with proper definitions.
analysis-assumptions-log
nimrodfisher
Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.
Growth Engine
ericosiu
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configuring-opentelemetry-dotnet
dotnet
Configure OpenTelemetry distributed tracing, metrics, and logging in ASP.NET Core using the .NET OpenTelemetry SDK. Use when adding observability, setting up OTLP exporters, creating custom metrics/spans, or troubleshooting distributed trace correlation.
exp-mock-usage-analysis
dotnet
"Audits .NET test mock usage by tracing each mock setup through the production code's execution path to find dead, unreachable, redundant, or replaceable mocks. Use when the user asks to audit mock usage, find unused or unnecessary mock setups, check if mocks are needed, reduce mock duplication or over-mocking, simplify test setup, or review whether mock configurations like ILogger/IOptions should use real implementations instead. Supports Moq, NSubstitute, and FakeItEasy."
fetch-and-send-data
dotnet
Call APIs, load data into components, and handle the async lifecycle in Blazor. USE FOR fetching data from a backend, submitting data to an API, displaying loading/error states, registering HttpClient, building service abstractions for Auto/WebAssembly render modes. DO NOT USE for form validation (see collect-user-input), prerendering persistence (see support-prerendering), or project scaffolding (see create-blazor-project).
insight-synthesis
nimrodfisher
Transform data findings into compelling insights. Use when converting analysis results into actionable insights, connecting findings to business impact, or preparing insights for stakeholder communication.
graphrag-evaluation
lyndonkl
Use when evaluating GraphRAG system quality across knowledge graph completeness, retrieval relevance, answer correctness, and reasoning verification. Invoke when user mentions evaluate GraphRAG, quality metrics, benchmark, hallucination reduction, answer correctness, multi-step reasoning evaluation, test my GraphRAG, or measure RAG performance. Provides evaluation frameworks, metric selection, and testing protocols.
rsync
chaterm
rsync 文件同步与备份
logging
codewithmukesh
Observability for .NET 10 applications. Covers Serilog structured logging, OpenTelemetry traces and metrics, health checks, and correlation IDs. Load this skill when setting up logging, tracing, metrics, or health monitoring, or when the user mentions "Serilog", "logging", "structured log", "OpenTelemetry", "traces", "metrics", "health check", "correlation ID", "observability", "telemetry", "log enrichment", or "ILogger".
opentelemetry
codewithmukesh
OpenTelemetry observability for .NET 10 applications. Covers traces, metrics, and logs using the OpenTelemetry SDK with OTLP export. Includes custom ActivitySource, IMeterFactory metrics, resource configuration, and Aspire Dashboard integration. Load this skill when setting up distributed tracing, custom metrics, OTLP export, or when the user mentions "OpenTelemetry", "OTLP", "traces", "spans", "Activity", "ActivitySource", "metrics", "IMeterFactory", "Meter", "Counter", "Histogram", "Gauge", "telemetry", "observability", "distributed tracing", "OTEL", or "Aspire Dashboard".
learning-log
codewithmukesh
Auto-document insights and discoveries during development sessions. Unlike MEMORY.md (corrective rules from the self-correction-loop skill), the learning log captures organic discoveries: non-obvious bugs, undocumented architecture decisions, performance findings, workarounds, and gotchas. Stored at .claude/learning-log.md. Load this skill when Claude discovers something non-obvious, finds a workaround, uncovers an undocumented decision, or when the user asks about "learnings", "discoveries", "gotchas", "what did we learn", or "document this finding".
serilog
codewithmukesh
Structured logging with Serilog for .NET 10 applications. Covers two-stage bootstrap, appsettings configuration, enrichers, sinks, request logging, destructuring, and Serilog.Expressions. Load this skill when setting up Serilog, configuring log sinks, enrichers, or structured logging, or when the user mentions "Serilog", "structured logging", "log enrichment", "Seq", "LogContext", "UseSerilog", "WriteTo", "message template", "Serilog.Expressions", "request logging", "log sink", "rolling file", or "audit log".
ab-test-setup
TerminalSkills
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.
rust-tracing
BerriAI
Add or change Rust diagnostic tracing in litellm-rust, including route spans, subscriber layers, and Python logger delivery
metric-reconciliation
nimrodfisher
Cross-source metric validation and discrepancy investigation. Use when metrics from different sources don't match, investigating data quality issues between systems, or validating data migration accuracy.
why
Sma1lboy
"Use for 'why does X work this way', 'why we picked Y', '为什么这么设计', design rationale, regressions, or where a magic number came from. Fans out one investigator per evidence category — in this repo that starts with the local decision record (ADRs, docs/design, the daemon issue store, the changelog, wisp) plus git history, and adds MCP-backed categories when the session has them — then returns a cited read with the gaps named. Use how for what the code does at runtime."
Observability Designer (POWERFUL)
alirezarezvani
This comprehensive observability design skill enables organizations to build robust, scalable monitoring and alerting systems that provide actionable insights while maintaining cost efficiency and operational excellence.
metrics-instrumentation
comet-ml
Specification for instrumenting an opik-backend workflow with operational OpenTelemetry metrics — per-stage throughput/latency/error counters and native histograms, dimensioned per-customer (workspace). Use when a pipeline (scoring, ingestion, experiments, jobs) needs per-stage visibility. Covers metric emission only; building the Grafana dashboard from these metrics is a separate skill. Distinct from analytics-instrumentation (PostHog product events).
cortex-model
jeremylongshore
Build an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "classification", or "regression".