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Found 54 Skills
Investigates distributed application performance using PostHog APM (OpenTelemetry span) data via MCP. Use when the user asks about service traces, slow HTTP/database spans, error spans, trace IDs, or span attributes — not LLM analytics traces or product logs. Uses posthog:query-apm-spans, posthog:apm-trace-get, posthog:apm-services-list, posthog:apm-attributes-list, and posthog:apm-attribute-values-list.
Activate when reviewing or modifying dependency resolution, lockfile schema, package downloaders, signature/integrity checks, file integration cleanup, or anything that could expose APM to dependency confusion, typosquatting, malicious packages, or token leakage.
APM - traces, services, dependencies, performance analysis.
Apply the Capital Asset Pricing Model (CAPM) to estimate expected returns and assess risk-return tradeoffs. Use this skill when the user needs to calculate expected return on an asset, interpret beta as systematic risk exposure, evaluate whether an investment compensates for risk, or when they ask 'what return should I expect', 'what is the risk premium', or 'how does beta affect pricing'.
Use this skill to triage a single newly opened, reopened, or `status/needs-triage`-labelled issue in microsoft/apm. Emit one synthesized comment with a triage decision, label set, milestone, and suggested next action.
Elasticsearch and Elastic APM integration with Serilog structured logging for .NET applications. Use when: (1) Implementing or configuring Serilog with Elasticsearch sink, (2) Setting up Elastic APM with data streams and authentication, (3) Creating logging extension methods in Infrastructure layer, (4) Enriching logs with app-name and app-type properties, (5) Configuring log levels and environment-specific logging, (6) Questions about logging security (PII, credentials), or (7) Troubleshooting observability and monitoring setup.
Use this skill when editing or creating CLI output, logging, warnings, error messages, progress indicators, or diagnostic summaries in the APM codebase. Activate whenever code touches console helpers (_rich_success, _rich_warning, _rich_error, _rich_info, _rich_echo), DiagnosticCollector, STATUS_SYMBOLS, CommandLogger, or any user-facing terminal output — even if the user doesn't mention "logging" or "UX" explicitly.
Activate when creating new modules, refactoring class hierarchies, introducing design patterns, or making changes spanning 3+ files in the APM CLI codebase.
Use this skill to run a multi-persona expert advisory review on a labelled pull request in microsoft/apm. The panel fans out to five mandatory specialists plus a test-coverage specialist (active on every PR that touches src/) plus two conditional specialists (auth, doc-writer), all running in their own agent threads, and a CEO synthesizer. The orchestrator is the sole writer to the PR: ONE recommendation comment, no verdict labels, no merge gating. The panel is advisory -- it surfaces findings, prioritizes follow-ups, and renders a ship-recommendation that the maintainer and author weigh. Activate when a non-trivial PR needs a cross-cutting recommendation (architecture, CLI logging, DevX UX, supply-chain security, growth/positioning, optionally auth, docs, and test coverage, with CEO arbitration).
Alibaba Cloud EMAS APM (mobile Application Performance Monitoring) issue troubleshooting skill. Covers the 4 read-only OpenAPIs exposed by the `aliyun emas-appmonitor` plugin: `get-issues` / `get-issue` / `get-errors` / `get-error`. Capabilities: Top-N aggregation, sample stack drill-down and dimension breakdowns for 6 issue types (crash / anr / lag / custom / memory_leak / memory_alloc), combined with the user's source code (Java / Kotlin / Objective-C / Swift / ArkTS / Dart / C# / JS) to produce root cause analysis and fix suggestions. Client coverage: native Android / iOS / HarmonyOS, Flutter, Unity (bundled to android / iphoneos / harmony; H5 is out of scope). Triggers: analyze app crash, troubleshoot ANR, APM crash investigation, list top issues, "what is this digestHash", iOS ANR Top 5, Android memory leak analysis, Flutter custom exception stacks, pull lag samples, emas appmonitor usage, sort issues by error rate, map stack to source, appKey problem, EMAS APM issue analysis, analyze APM issues.
Full-stack observability with Datadog APM, logs, metrics, synthetics, and RUM. Use when implementing monitoring, tracing, alerting, or cost optimization for production systems.
Apply the Fama-French three-factor model to decompose asset returns into market, size, and value factors. Use this skill when the user needs to explain cross-sectional return differences, evaluate fund performance beyond CAPM alpha, assess small-cap or value tilts in a portfolio, or when they ask 'why do small caps earn more', 'is value premium real', or 'what factors drive returns'.