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Found 1,832 Skills
Configure rsyslog for centralized log collection with TLS encryption, custom templates, and log rotation, generating server and client configuration files with GnuTLS stream drivers, x509 certificate authentication, per-host log segregation, and reliable queue settings. Use when building a centralized, encrypted syslog pipeline, hardening rsyslog client/server configs for high-availability log infrastructure, or troubleshooting TLS-based syslog forwarding.
Build out a full CTI program around the six-phase threat intelligence lifecycle (direction, collection, processing, analysis, dissemination, feedback), including defining intelligence requirements, building a collection pipeline, normalizing data, and tracking dissemination feedback. Use when standing up or maturing a threat intelligence program, defining intelligence requirements, or designing collection-to-dissemination workflows for a CTI team.
Use when changing PlayCanvas rendering code that must not change the rendered image — draw-call optimization, hardware instancing, shader or material refactors, or asset pipeline swaps — to prove the output unchanged before shipping.
Use when asked to review or re-review a PR, audit changes, check the diff on the current branch, verify a fix, or check what's still pending before merge in a CultureX repo. Universal TypeScript/JavaScript review framework (lenses, router, framework-agnostic traps) plus per-repo supplements loaded by fingerprint — saas-server.md (Express+Sequelize+MySQL, RBAC, agencyId tenancy), creator-services.md (Mongoose autoIndex:false, Qdrant, AI pipeline, Elastic Beanstalk), and analytics-backend.md (stateless provider gateway, no DB, no auth, allSettled fan-out, 3-way symmetric provider paths); more repos get their own supplement over time. Trap library covers bugs that actually shipped — paranoid+CASCADE, MySQL partial index, agencyId scoping, cross-store refs, sync-LLM-in-handler, side-effect gating, backfill normalization, symmetric-fix gaps, stuck background tasks.
Migrate Nextflow pipeline code to newer language requirements. Use when fixing strict syntax errors, replacing versions channels with topic channels, migrating from `publishDir` to workflow outputs (the `output {}` block), or adding static typing (typed processes/workflows, records, typed params).
Design token architecture - primitive/semantic/component tiers, naming grammar, CSS custom property delivery, and DTCG build pipelines
雲端基礎設施安全檢查清單與最佳實踐。 Use when: 部署到雲端平台、配置 IAM、設定 CI/CD pipeline、實作 IaC、配置監控或管理 secrets。 Triggers: "cloud security", "IAM policy", "CI/CD security", "Terraform security", "Cloudflare WAF", "雲端安全", "基礎設施安全".
Configure a Trade Promotion Management (TPM) org's RTR (Real Time Reporting) export pipeline to push promotion measures into Data Cloud (Data 360) for Trade Promotion Effectiveness (TPE) dashboards. Use when a customer or admin wants to set up the RTR export for Data Cloud measures, configure the RTR report for TPE, or as a delegated step from consumer-goods-tpe-dashboard-configure.
NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein structure prediction pipeline using NVIDIA BioNeMo NIMs: search for MSA alignments with MSA-Search (ColabFold), then predict the structure with OpenFold3 using the retrieved alignments. Use this skill whenever the user wants to predict a protein structure with maximum accuracy using MSA context, run the full AlphaFold3-style pipeline, generate MSA-informed structure predictions, or improve structure prediction accuracy by providing evolutionary information. Triggers on: MSA structure prediction pipeline, structure prediction pipeline, MSA-informed prediction, OpenFold3, ColabFold MSA, AlphaFold3 pipeline, protein structure, homology search, a3m alignment, UniRef30, NIM microservice. This pipeline chains MSA-Search and OpenFold3.
Performance patterns and gotchas for querying a Rerun catalog from Python. Reach for this when a CatalogClient/dataset query is unexpectedly slow, or when shaping a per-segment / per-episode pipeline that hits the catalog from many places.
Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the user does not name it: verify operator step sequence, detect missing or out-of-order SOP steps, score factory/work-cell video for procedure compliance, run VLM-based SOP checking on industrial cameras, or call /v1/chat/completions with a file, RTSP, or Basler camera. Also trigger for its internals: SOPVideoProcessor, DeepStream GEBD model (e.g. DDM) via Triton CAPI, nvds_custom_postprocess, Cosmos Reason 1/2 vLLM, SSE streaming, Kafka NvProto/JSON output, Basler/Pylon camera + emulation, Docker compose, chunk-level latency. Do NOT trigger for generic DeepStream pipelines, object detection/tracking, NIM imports, or video summarization.
Guides the agent through migrating an existing Capacitor project from Capgo to Capawesome Cloud. Detects Capgo usage (the @capgo/capacitor-updater plugin, CapacitorUpdater configuration, and @capgo/cli commands in CI/CD) and provides step-by-step migration: replacing the plugin with @capawesome/capacitor-live-update, mapping configuration options and API methods, migrating update strategies, channels, code signing, and CI/CD pipelines. References the capawesome-cloud skill for detailed Capawesome Cloud setup procedures. Do not use for setting up Capawesome Cloud from scratch without an existing Capgo project, for migrating from Ionic Appflow (use the ionic-appflow-migration skill instead), or for non-Capacitor mobile frameworks.