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Found 9,868 Skills
Enables autonomous context management for codebases through claude.md files. Use when creating, maintaining, or synchronizing AI agent context. Provides tools and workflows for monitoring context health, detecting staleness, and updating intelligently. Helps Claude work proactively as a context manager.
Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.
Build and publish npx-executable CLI tools using Bun as the primary toolchain with npm-compatible output. Use when the user wants to create a new CLI tool, set up a command-line package for npx execution, configure argument parsing and terminal output, or publish a CLI to npm. Covers scaffolding, citty arg parsing, sub-commands, terminal UX, strict TypeScript, Biome + ESLint linting, Vitest testing, Bunup bundling, and publishing workflows. Keywords: npx, cli, command-line, binary, bin, tool, bun, citty, commander, terminal, publish, typescript, biome, vitest.
Build Nango Functions (TypeScript createAction/createSync/createOnEvent) using the Nango Runner SDK. Includes project/root checks, endpoint conventions, retries/pagination, deletion detection, metadata, and a docs-aligned dryrun/test workflow.
Manage Alibaba Cloud ApsaraVideo Live resources and workflows via OpenAPI/SDK. Use for live domain configuration, stream ingest and playback setup, recording/transcoding templates, monitoring queries, and live stream operations.
Manage Alibaba Cloud ApsaraVideo VOD resources and media workflows via OpenAPI/SDK. Use for upload and media asset operations, transcoding templates, playback authorization, AI processing jobs, and VOD troubleshooting.
Expert guide for participating in the SOMA network — a decentralized system that trains a foundation model through competition. Provides data submission workflows, model training pipelines, reward claiming, SDK code generation, CLI command guidance, and competitive strategy optimization. Use when user mentions "SOMA", "soma-sdk", "soma-models", "submit data to SOMA", "train a SOMA model", "SOMA targets", "SOMA rewards", "next-byte prediction network", "decentralized model training", or asks about earning SOMA tokens through data or model contributions. Do NOT use for general machine learning, PyTorch, or JAX questions unrelated to the SOMA network.
Track CJ대한통운 and 우체국 parcels by invoice number with official carrier endpoints, and structure the workflow around a carrier adapter that can grow to more couriers later.
Use when generating or reasoning over text with Alibaba Cloud Model Studio Qwen flagship text models (`qwen3-max`, `qwen3.5-plus`, `qwen3.5-flash`, snapshots, and compatible open-source variants). Use when building chat, agent, tool-calling, or long-context text generation workflows on Model Studio.
Omnisend platform help — email campaigns, SMS marketing, web push notifications, marketing automation workflows, popups/forms, segmentation, product recommendations, reporting, Shopify/WooCommerce/BigCommerce integrations, API. Use when asking 'how do I do X in Omnisend', configuring Omnisend settings, setting up automation workflows, managing campaigns, connecting ecommerce integrations, or using the Omnisend API. Do NOT use for cross-platform email marketing strategy (use /sales-email-marketing), cross-platform SMS strategy (use /sales-sms-marketing), cross-platform deliverability (use /sales-deliverability), cross-platform push strategy (use /sales-push-notification), or connecting tools (use /sales-integration).
Use when: user asks to create a Grafana app, initialize a grafana-app-sdk project, set up a Grafana App Platform app, scaffold a new app, or asks about deployment modes (standalone operator, grafana/apps, frontend-only), how grafana-app-sdk works, or the overall development workflow. Provides foundational knowledge of the grafana-app-sdk CLI, project structure, deployment modes, and overall workflow.
Set up end-to-end Change Data Capture (CDC) pipelines on Confluent Cloud using Debezium source connectors, Flink for transformation, and Tableflow for data lake integration. Supports JSON_SR, Avro, and Protobuf formats. Handles schemaless topics (plain JSON without SR) and multi-event topics. This skill handles the complete workflow from database to Iceberg/Delta tables. Use this skill when users want to capture database changes and materialize them into Iceberg or Delta Lake tables via Confluent Cloud Tableflow. Trigger phrases include "CDC to Tableflow", "database to Iceberg", "database to Delta Lake", "stream database changes to data lake", "set up Tableflow pipeline", "schemaless topic to Tableflow", or "multi-event topic to Iceberg". Do NOT trigger for general CDC, Debezium, or database replication requests that do not involve Tableflow or Iceberg/Delta Lake as the destination.