n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI integration, covering 10 nodes. Keywords: n8n, workflow, automation, node, trigger, webhook, http request, database, ai agent.
npx skills add https://github.com/nicepkg/ai-workflow --skill n8n-skills
This skill helps with:
This skill includes:
Here are some common workflow patterns you can use as a starting point:
Fetch data from APIs and process it
Nodes used:
Example: Use HTTP Request node to fetch data from external APIs, Set node to transform formats, and IF node for conditional logic
Monitor emails and auto-respond or forward
Nodes used:
Example: Use Email Trigger to monitor inbox, IF node to filter specific conditions, and Gmail node to auto-reply or forward
Sync data between different systems
Nodes used:
Example: Scheduled trigger to read data from one database, transform it, and write to another database
Receive external webhooks and trigger actions
Nodes used:
Example: Receive webhook events, process data, and send notifications to Slack or other systems
Use AI models to process and generate content
Nodes used:
Example: Build AI assistants to handle user queries, integrate vector databases for semantic search
Automatically process and transform files
Nodes used:
Example: Monitor Google Drive for new files, extract and process content, then upload to Dropbox
We have collected 20 popular workflow templates from n8n.io, categorized by use case:
See the complete template index for all available templates.
This skill pack project is licensed under the MIT License.
See: https://github.com/haunchen/n8n-skills/blob/main/LICENSE
This is an unofficial educational project and is not affiliated with n8n GmbH.
This skill content is generated based on the following resources:
For detailed attribution information, please refer to the ATTRIBUTIONS.md file in the project.
n8n is an open-source workflow automation platform developed and maintained by n8n GmbH.
When using n8n software, you must comply with n8n's license terms. See: https://github.com/n8n-io/n8n/blob/master/LICENSE.md
Build agent-facing web experiences with ATXP-based authentication, following the ClawDirect pattern. Use this skill when building websites that AI agents interact with via MCP tools, implementing cookie-based agent auth, or creating agent skills for web apps. Provides templates using @longrun/turtle, Express, SQLite, and ATXP.
Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.
Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse ~/.deepagents/.state/sessions.db and a thread UUID or prefix.
Use when you need state across calls — building env vars, navigating with cd, driving REPLs (python -i, mysql, psql, node), or responding to interactive prompts (sudo password, ssh host-key confirmation, mysql connection). Teaches the prompt-sentinel exec pattern (default mode), raw I/O for REPLs (raw_send=True then read_only=True), the one-in-flight-per-session rule, and the close-or-leak-against-the-cap discipline. Bash on macOS — never zsh; explicit shell=/bin/zsh is rejected. Read before calling terminal_pty_open.
Help developers build third-party tools that import, inspect, migrate, or analyze DeepChat data. Use when Codex needs to work with DeepChat provider configuration, model configuration, MCP/app settings, sessions, messages, legacy chat data, `agent.db`, `chat.db`, SQLCipher encrypted SQLite, Electron safeStorage wrapped passwords, Tauri importers, or native macOS/Windows/Linux data access.
统一管理多智能体角色的团队协作框架,支持智能体动态组合、灵活协作和扩展新角色。智能体本质上是"角色定义",可以根据任务需求灵活组建团队,实现从会议决策到系统构建的完整能力。智能体角色明确分工:有干活的、有指挥的、有挑毛病的,能实时看到沟通过程,共享数据库记忆,确保上下文一致。
Query the memory system for relevant learnings from past sessions
>- Corrects speech-to-text transcription errors using dictionary rules and Claude's built-in AI (no external API key required — Native AI Correction is the DEFAULT). Stage 3 API is a backup for automation without Claude Code. Builds personalized correction databases that learn from each fix, auto-loads person-name ASR variants from your people roster, and reads per-domain context files that prime the AI pass for context-dependent homophones. Triggers when working with ASR/STT output containing recognition errors, homophones, garbled technical terms, person-name errors, or Chinese/English mixed content. Also triggers on requests to clean up meeting notes, lecture transcripts, interview recordings, or any text produced by speech recognition. Use this skill even when the user just says "fix this transcript", "clean up these meeting notes", or mentions garbled names without invoking ASR specifically.
Take nicepkg/n8n-skills from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.