Loading...
Loading...
Found 47 Skills
Supabase Edge Function observability style: tiny provider-neutral OTel-shaped shim, OTLP export config, traces/logs/metrics, and LLM cost metrics.
Knowledge for helping users set up the Remotion Superpowers plugin. Covers API key acquisition, dependency installation, and MCP server troubleshooting. Use when running /setup or when a user has issues with MCP connections.
Onboard a project to Superlog by installing OpenTelemetry traces, logs, and metrics across every app and service in the repo. Triggers on requests like 'install Superlog', 'set up Superlog', 'add Superlog telemetry', 'onboard this repo to Superlog', 'instrument with OpenTelemetry for Superlog'.
Harness engineering for AI coding agents — five subsystems, memory persistence, session continuity, verification workflows, scope control, lifecycle management.
Next.js/Vercel OpenTelemetry style: instrumentation.ts, @vercel/otel bootstrap, native @opentelemetry/api call sites, inline endpoint + ingest key, and no raw NodeSDK replacement.
FastAPI OpenTelemetry style: native FastAPIInstrumentor, centralized observability init, Python decorators, OTLP logs, and LLM cost metrics.
General OpenTelemetry onboarding style for Superlog managed agents: native APIs, signal quality, env vars, LLM metrics, and smoke checks.
Pull production observability context from the Superlog MCP to ground debugging, incident response, and 'how is this behaving in prod right now?' questions. Triggers whenever the user is investigating a bug, regression, or incident; asking about real traffic, error rates, latency, or throughput; validating a deploy; or wants the recent history of a service.
Monitor Nx Cloud CI pipeline and handle self-healing fixes. USE WHEN user says "monitor ci", "watch ci", "ci monitor", "watch ci for this branch", "track ci", "check ci status", wants to track CI status, or needs help with self-healing CI fixes. ALWAYS USE THIS SKILL instead of native CI provider tools (gh, glab, etc.) for CI monitoring.
Use when the user has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track. Also handles the final composite step for the localization pipeline — burn subs, mix a dub track, and keep the original audio as a low-volume bed, all in ONE ffmpeg encode (no cascade). Verifies libass availability and auto-downloads a static evermeet ffmpeg build when Homebrew's stripped binary lacks it. Triggers — "烧字幕", "硬字幕", "burn subtitles", "burn-in subs", "embed subtitle", "soft mux SRT", "把字幕烧进视频", "做最终合成".
Use FuzzingLabs MCP Security Hub to integrate offensive security tools (Nmap, Nuclei, SQLMap, Ghidra, etc.) with AI assistants via Docker-based MCP servers
This skill should be used when users need to interact with GitLab via the glab CLI. It covers repository management (create, delete, clone, fork), CI/CD workflows (pipelines, jobs, schedules), Merge Requests, Issues, Releases, and other GitLab operations. Triggers on requests mentioning GitLab, repos, MRs, issues, pipelines, or CI/CD workflows.