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Found 150 Skills
Run forensic ratio and trend checks from SEC filing data to validate or challenge Shenanigans hypotheses. Use when users ask for quantitative red-flag checks, earnings quality diagnostics, or quarter-over-quarter anomaly detection.
Setup and diagnostics for the AWS DevOps Agent MCP connection. Triggers when aws-devops-agent is missing from .mcp.json, when the connection is broken, or when the user says "set up devops agent" / "configure agent". Does NOT trigger if the MCP is already connected and working.
Golang semantic code intelligence via `gopls`, the official Go language server — go-to-definition, find references, call/implementation hierarchy, workspace symbol search, package API discovery, diagnostics, safe rename, refactors (extract/inline/fill/rewrite code actions), formatting, and generated tests. Reaches an agent via gopls's own MCP server (`go_*` tools), Claude Code's native `LSP` tool, or the `gopls` CLI. Use when navigating or refactoring Go code — jumping to a definition, finding call sites before a rename, understanding a file's or package's dependencies, running diagnostics after an edit, or extracting/inlining/renaming. Not for the published ecosystem — packages not in your `go.mod`, versions, licenses, importers — → See `samber/cc-skills-golang@golang-pkg-go-dev` skill (`godig`). Not for a whole-tree vulnerability audit → See `samber/cc-skills-golang@golang-security` skill (`govulncheck`).
Have a fast, conversational analysis with the AWS DevOps Agent. Use for cost optimization, architecture review, topology mapping, knowledge / runbook discovery, security audits, dependency questions, and quick diagnostics — anything that needs a 5-30 second answer rather than a 5-8 minute deep investigation. Trigger words include cost, optimize, review, architecture, topology, what runbooks, show me, compare, audit, what if.
Use when working with error diagnostics smart debug
Set up, debug, and build with Contentful personalization and optimization. Covers readiness, SDK install guidance, static diagnostics, live browser debugging, development help, and reference patterns. Use for personalization, optimization, ninetailed, A/B testing, experiments, audience targeting, Contentful Experiences, Experiences SDK, Studio Experiences, and the experience API. Trigger keywords: personalization, optimization, ninetailed, A/B test, experiment, multivariate test, targeting, audience targeting, segments, variants, content variants, set up personalization, personalization not working, personalization broken, personalize this component, am I ready for personalization, experience API, Contentful Experiences, Experiences SDK, Studio Experiences, personalization in Next.js, @contentful/optimization, @ninetailed/experience.js, run an experiment, check this URL, debug this live page, inspect network requests, check console errors, experience.ninetailed.co
Resolve Swift concurrency compiler errors, adopt Swift 6.2 approachable concurrency (SE-0466), and write data-race-safe async code. Use when fixing Sendable conformance errors, actor isolation warnings, or strict concurrency diagnostics; when adopting default MainActor isolation, @concurrent, nonisolated(nonsending), or Task.immediate; when designing actor-based architectures, structured concurrency with TaskGroup, or background work offloading; or when migrating from @preconcurrency to full Swift 6 strict concurrency.
Production server monitoring stack covering Prometheus, Node Exporter, Grafana, Alertmanager, Loki, and Promtail on bare-metal or VM Linux hosts. USE WHEN: - Setting up monitoring for a new production server or VPS - Configuring Prometheus scrape targets for application or system metrics - Creating Grafana dashboards and datasource provisioning - Writing Alertmanager routing rules with email/Slack notifications - Implementing the PLG stack (Promtail + Loki + Grafana) for log aggregation - Performing live system diagnostics with htop, iotop, nethogs, ss, vmstat, iostat - Setting up uptime monitoring with UptimeRobot or healthchecks.io DO NOT USE FOR: - Kubernetes-native observability (use the kubernetes skill instead) - Application-level APM (distributed tracing with Jaeger/Tempo — use observability skill) - Cloud-managed monitoring (CloudWatch, GCP Monitoring, Azure Monitor) - Windows Server monitoring
Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.
Expert debugging workflows including print debugging (push_warning, push_error, assert), breakpoints (conditional breakpoints), Godot Debugger (stack trace, variables, remote debug), profiler (time profiler, memory monitor), error handling patterns, and performance optimization. Use for bug fixing, performance tuning, or development diagnostics. Trigger keywords: breakpoint, print_debug, push_error, assert, profiler, remote_debug, memory_leak, orphan_nodes, Performance.get_monitor.
Local LLM operations with Ollama on Apple Silicon, including setup, model pulls, chat launchers, benchmarks, and diagnostics.
Diagnose and fix common Gladia API issues. Use when the user encounters errors (401, 403, 429), unexpected behavior, poor transcription quality, billing confusion, audio format problems, WebSocket disconnections, polling failures, or asks about limits and rate limiting. SDK-first diagnostics — many issues are solved by migrating to the official SDK.