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Found 5,440 Skills
Fast X CLI for tweeting, replying, and reading via X/Twitter GraphQL (cookie auth). Supports: read tweets, search, thread/replies, bookmarks, likes, news/trending, user timelines, following/followers, lists. Can be used as a library. Note: Recommended for reading only. Writing will hit blocks quickly.
OpenTelemetry, structured logging, distributed tracing, alerting, and dashboards
Migrate a .NET application from the classic Elastic APM .NET agent to the EDOT .NET SDK. Use when switching from Elastic.Apm.* packages to Elastic.OpenTelemetry.
Migrate a Python application from the classic Elastic APM Python agent to the EDOT Python agent. Use when switching from elastic-apm to elastic-opentelemetry.
Testing WebSocket implementations for authentication bypass, cross-site hijacking, injection attacks, and insecure message handling during authorized security assessments.
Use when designing error handling, retry policies, timeout behavior, or failure classification in Python. Also use when code swallows exceptions, loses error context across boundaries, has unbounded retries, silent failures, or lacks idempotency guarantees on retried writes.
CRITICAL: Use for Matrix SDK integration with Makepad. Triggers on: Matrix SDK, sliding sync, MatrixRequest, timeline, matrix-sdk, matrix client, robrix, matrix room, Matrix 集成, 聊天客户端
Run post-deployment smoke checks with Makefile targets (`remote-status`, `remote-logs`) plus optional health URL checks. Use after deployment to verify runtime state before final acceptance.
Structured JSON logging with correlation IDs, request context propagation across async boundaries, performance timing decorators, and worker metrics collection.
Use when creating animations for business contexts that require seriousness, competence, and trustworthy presentation.
This skill should be used when the user needs to visualize BAM alignment files in IGV (Integrative Genomics Viewer). Triggers include requests to generate IGV screenshots, visualize genomic regions with multiple BAM tracks, or create batch visualizations for WGS analysis results.
Infers user stress/energy levels from interaction patterns (typing speed, error rate). Adjusts response verbosity and visualizes mood via a "Niko-Niko Calendar."