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Found 378 Skills
Monitoring and observability strategy, implementation, and troubleshooting. Use for designing metrics/logs/traces systems, setting up Prometheus/Grafana/Loki, creating alerts and dashboards, calculating SLOs and error budgets, analyzing performance issues, and comparing monitoring tools (Datadog, ELK, CloudWatch). Covers the Four Golden Signals, RED/USE methods, OpenTelemetry instrumentation, log aggregation patterns, and distributed tracing.
Quantitatively verify the long-term transmission/linkage relationship between Platinum and the Brazilian stock market (EWZ) using public market data, and output dual-axis charts, lead-lag analysis, correlation strength scores, and monitoring signals.
Measure the valuation range (overvalued/undervalued) of the mining stock sector relative to the metal itself using the ratio of Silver Mining Stock Price to Silver Price, and derive 'bottom/top' signals and scenario projections through historical percentiles and analogous intervals.
Comprehensive guide for creating Telegram Mini Apps with React using @tma.js/sdk-react. Covers SDK initialization, component mounting, signals, theming, back button handling, viewport management, init data, deep linking, and environment mocking for development. Use when building or debugging Telegram Mini Apps with React.
Measure product-market fit (PMF) and produce a PMF Measurement Pack (Sean Ellis “very disappointed” survey, retention/usage evidence, reference-customer signals, and an action plan). Use for growth teams assessing PMF, PMF drift, and launch readiness.
Build enriched prospect lists from ICP criteria - find targets, enrich contacts, score accounts, detect trigger signals
Use when consolidating product usage, health, and sentiment signals for lifecycle programs.
Detect stale and potentially outdated documents in your Yuque knowledge bases by analyzing update timestamps and content freshness signals. For personal/individual use — scans your own repos.
Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app crash from a tombstone, resolving native backtrace frames in libmonosgen-2.0.so or libcoreclr.so to .NET runtime source code, or investigating SIGABRT, SIGSEGV, or other native signals originating from the .NET runtime on Android. DO NOT USE FOR pure Java/Kotlin crashes, managed .NET exceptions that are already captured in logcat, or iOS crash logs. INVOKES Symbolicate-Tombstone.ps1 script, llvm-symbolizer, Microsoft symbol server.
Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols. Implements suicide ideation detection, automated escalation, and crisis resource integration. Use for mental health apps, recovery platforms, support communities. Activate on "crisis detection", "suicide prevention", "mental health NLP", "intervention protocol". NOT for general sentiment analysis, medical diagnosis, or replacing professional help.
Research Solana/crypto startup opportunities using builder project history, crypto archives, investor theses, and market signals. Answers questions conversationally by default; runs the full 8-step deep research workflow on explicit opt-in ("vet this idea", "deep dive").
Interpret Qwilr engagement signals and decide what to do next. Use when a prospect viewed or didn't view a proposal, analyzing Qwilr analytics, understanding proposal engagement patterns, figuring out why a buyer went dark after a proposal, deciding when to follow up after sending a proposal, understanding read receipts on proposals, or seeing who viewed a Qwilr quote.