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Found 8,537 Skills
Implementation workflows and decision trees for ERPNext Client Scripts. Use when determining HOW to implement client-side features: form validations, dynamic UI, server integration, child table logic. Triggers: how do I implement, when to use, which approach, client script workflow, build form logic, make UI dynamic, calculate fields.
飞书画板操作：下载画板图片、导入 PlantUML/Mermaid 图表、创建画板节点。当用户需要操作飞书画板、导入图表到画板时使用。
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Interact with Dida365 Open API using Python CLI to manage TickTick tasks/projects, suitable for scenarios where you need to call TickTick APIs via scripts or command line (such as querying, creating, updating, completing, and deleting projects/tasks).
This skill should be used when the user asks to "fetch Sentry issues", "check Sentry errors", "triage Sentry", "categorize Sentry issues", "resolve Sentry issue", "mute Sentry issue", "unresolve Sentry issue", "sentry-cli", or mentions Sentry API, Sentry project issues, error monitoring, issue triage, Sentry stack traces, or browser extension errors in Sentry.
Runs a quick overview of Clickhouse server health.
Comprehensive SuiClient skill for interacting with the Sui blockchain using @mysten/sui SDK. Use this skill when you need to connect to Sui blockchain, read data, execute transactions, manage staking positions, or query network information.
Universal MCP client for connecting to any MCP server with progressive disclosure. Wraps MCP servers as skills to avoid context window bloat from tool definitions. Use when interacting with external MCP servers (Zapier, Sequential Thinking, GitHub, filesystem, etc.), listing available tools, or executing MCP tool calls. Triggers on requests like "connect to Zapier", "use MCP server", "list MCP tools", "call Zapier action", "use sequential thinking", or any MCP server interaction.
MUST USE when installing chv, setting up local ClickHouse development, or running ClickHouse locally. Contains 5 guides covering chv CLI installation, local project initialization, running a local server, executing SQL from files, and migrating to cloud. Always read relevant guide files and cite them in responses.
Guidance for creating standalone CLI tools that perform neural network inference by extracting PyTorch model weights and reimplementing inference in C/C++. This skill applies when tasks involve converting PyTorch models to standalone executables, extracting model weights to portable formats (JSON), implementing neural network forward passes in C/C++, or creating CLI tools that load images and run inference without Python dependencies.
Use when working with TeamCity CI/CD or when user provides a TeamCity build URL. Use `tc` CLI for builds, logs, jobs, queues, agents, and pipelines.
Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts. Use for code analysis, diff reviews, codebase exploration. Triggers on "rlm ask", "rlm complete", "rlm search", "rlm index".