OpenClaw AI 技能

[自动翻译] Build multi-step AI content creation pipelines combining image, video, audio, and text. Workflow examples: generate image -> animate -> add voi

[自动翻译] Multi-agent orchestration with 5 proven patterns - Work Crew, Supervisor, Pipeline, Council, and Auto-Routing

[自动翻译] Launch automated multi-skill pipeline that chains skills into a loop. Use when user says "run pipeline", "automate research to PRD", "full pipe

[自动翻译] Create, schedule, and monitor ETL pipelines extracting from APIs, databases, files, and streams, with transform and load support to warehouses

[自动翻译] Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and

[自动翻译] Cold email outreach pipeline with multi-step sequences, reply tracking, bounce handling, and campaign analytics. 4 production-ready n8n workflo

[自动翻译] Build autonomous multi-agent pipelines with Mastra (agents only) and Trigger.dev (all workflows and tasks). Use when creating AI agents, design

[自动翻译] Manages code task workflow by spawning sub-agents for research, coding, reviewing, security audit, testing, and committing with detailed loggin

[自动翻译] Deterministic memory/context pipeline for agents: route a user message, retrieve relevant memory snippets, compress into a cited Context Pack (

[自动翻译] Diagnose pipeline health, detect stalled deals, and surface what needs attention this week. Built for sales teams managing active opportunities

[自动翻译] End-to-end dropship product lifecycle pipeline. CJ Dropshipping sourcing → margin check → Flux Kontext AI hero image → WooCommerce publish → CJ

[自动翻译] Create and manage macro-task pipelines (QA, roadmaps, feature rollouts) using PIPELINE.md + HEARTBEAT.md pattern. Use when building multi-step

[自动翻译] Generic multi-agent content pipeline — sequential and parallel agent stages with status tracking, error recovery, and progress callbacks. Use w

[自动翻译] Build and deploy production ML pipelines with data processing, model training, evaluation, and deployment using TensorFlow, PyTorch, or Scikit-

[自动翻译] Pipeliner integration. Manage Leads, Deals, Persons, Organizations, Activities, Notes and more. Use when the user wants to interact with Pipeli

[自动翻译] Build data pipelines for ETL (Extract, Transform, Load). Connect databases, APIs, files, and cloud storage. Transform and sync data automatical

[自动翻译] Runs a full Dev Team pipeline from planning to release for any coding task, producing plans, code, tests, fixes, and release notes.

[自动翻译] 4-stage content pipeline orchestrator: Research -> Ideate -> Write -> Queue. Give it a topic, it researches existing discussions, generates hoo

从 AutoResearch 到完整项目的全自动流水线（实验 → 多 Agent 编排 → 技能封装）

[自动翻译] Manage your sales pipeline via natural language—add leads, update stages, log interactions, set reminders, and generate reports without complex