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Found 1,667 Skills
Build and deploy parallel execution via subagent waves, agent teams, and multi-wave pipelines. Use when the Decomposition Gate identifies 2+ independent actions or when spawning teams. NOT for single-action tasks or non-parallel work.
Project knowledge base and workflow routing. Knowledge contains previously explored file locations, module boundaries, and call chains — reuse directly instead of re-locating; decisions/maxims are settled architectural decisions and coding principles — follow them, don't re-debate; pipelines are reusable workflows. Use self-improve to capture new findings after tasks. Provides init, upgrade, migrate, doctor, self-improve, and loop tools.
Sets up GitOps CI/CD pipelines for TrueFoundry using tfy apply. Supports GitHub Actions, GitLab CI, and Bitbucket Pipelines.
Claude CLI sub-agent system for persona-based analysis. Use when piping large contexts to Anthropic models for security audits, architecture reviews, QA analysis, or any specialized analysis requiring a fresh model context.
Run a daily content digest pipeline that fetches Podcast RSS feeds and YouTube channels, transcribes audio, generates AI summaries in Traditional Chinese, and optionally sends notifications via Telegram. Use this skill whenever the user wants to: set up or run a daily digest, summarize podcasts or YouTube videos, create a content briefing, aggregate RSS/YouTube content, or build an automated summary system. Also triggers for: "daily digest", "每日摘要", "podcast 摘要", "YouTube 整理", "跑摘要", "內容彙整", "幫我整理今天的 podcast", "summarize my subscriptions", or any request to periodically collect and summarize media content. Even if the user just says "digest" or "摘要", check if this skill applies.
UI design team pipeline. Research existing design system, generate design tokens (W3C format), audit quality, and implement code. CSV wave pipeline with GC loop (designer <-> reviewer) and dual-track parallel support.
Use when implementing data analysis pipelines, statistical tests, or bioinformatics workflows in code (Python/R), particularly for genomics, transcriptomics, proteomics, or other -omics data.
Autonomous workflow execution pipeline with CSV wave engine. Session discovery → plan validation → IMPL-*.json → CSV conversion → wave execution via spawn_agents_on_csv → results sync. Task JSONs remain the rich data source; CSV is brief + execution state.
Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline vectorization pipelines.
Configures .NET CI/CD pipelines (GitHub Actions with setup-dotnet, NuGet cache, reusable workflows; Azure DevOps with DotNetCoreCLI, templates, multi-stage), containerization (multi-stage Dockerfiles, Compose, rootless), packaging (NuGet authoring, source generators, MSIX signing), release management (NBGV, SemVer, changelogs, GitHub Releases), and observability (OpenTelemetry, health checks, structured logging, PII). Spans 18 topic areas. Do not use for application-layer API or UI implementation patterns.
Builds ASP.NET Core APIs, EF Core data access, gRPC, SignalR, and backend services with middleware, security (OAuth, JWT, OWASP), resilience, messaging, OpenAPI, .NET Aspire, Semantic Kernel, HybridCache, YARP reverse proxy, output caching, Office documents (Excel, Word, PowerPoint), PDF, and architecture patterns. Spans 32 topic areas. Do not use for UI rendering patterns or CI/CD pipeline authoring.
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing, custom transforms, and cross-version reindexing. Use when loading files, batch importing data, or migrating indices across versions — not for general ingest pipeline design or bulk API patterns.