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Found 9,676 Skills
Provides comprehensive guidance for draw.io flowcharts including flowchart creation, shapes, connectors, and diagramming. Use when the user asks about draw.io flowcharts, needs to create flowcharts, design process diagrams, or visualize workflows.
Configure kata workflow toggles and model profile. Triggers include "settings".
Netlify development best practices for serverless functions, edge functions, Blobs storage, build configuration, and deployment workflows.
Design or refactor skills by separating deterministic and non-deterministic steps. Use when creating or improving skills, especially to move repeatable workflows into scripts/ and update SKILL.md to call them.
Build and deploy AI agents using VM0's agent-native infrastructure. This skill guides you through the complete agent creation workflow - from understanding requirements to deployment and scheduling.
Build and deploy autonomous AI agents using the OpenServ SDK (@openserv-labs/sdk). IMPORTANT - Always read the companion skill openserv-client alongside this skill, as both packages are required to build and run agents. openserv-client covers the full Platform API for multi-agent workflows and ERC-8004 on-chain identity. Read reference.md for the full API reference.
Multi-instance (Multi-Agent) orchestration workflow for deep research: Split a research goal into parallel sub-goals, run child processes in the default `workspace-write` sandbox using Codex CLI (`codex exec`); prioritize installed skills for networking and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + key conclusions/recommendations summary". Applicable to: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-Agent parallel research/multi-process research".
Guide for orchestrating Claude Code agent teams — multiple parallel Claude Code sessions coordinated by a team lead. Use this skill when the user mentions agent teams, teammates, parallel agents, multi-agent workflows, spawning agents, coordinating agents, delegate mode, plan approval for teammates, TeammateIdle or TaskCompleted hooks, or wants to break a task into parallel independent work streams. Also trigger on questions about tmux split-pane mode, in-process teammate mode, Shift+Up/Down agent switching, shared task lists, inter-agent messaging, or designing tasks for multi-agent decomposition. This is an experimental feature requiring CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS to be enabled.
Complete guide for dbt data transformation including models, tests, documentation, incremental builds, macros, packages, and production workflows
Use when setting up, deploying, or operating vLLM Studio (env keys, controller/frontend startup, Docker services, branch workflow, and release checklists).
Implement API versioning strategies for backward compatibility. Covers URL versioning, header versioning, and deprecation workflows.
Speakeasy workflow: run 'agent context' FIRST, do task, run 'agent feedback' LAST. Triggers on speakeasy, SDK, OpenAPI.