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Use when building n8n workflows, configuring nodes, setting up triggers, implementing data transformations, or integrating AI agents into automation workflows.
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Basé sur la classification professionnelle SOC
Multi-phase, subagent-driven deep audit and remediation of codebase guidance (root agent instructions, docs, module context files, skills/agents references, task routing). Phase 1 subagents write verified findings only; Phase 2 subagents verify and fix guidance. Use when the user asks to audit, refresh, or fix agent context, CLAUDE.md or AGENTS.md drift, stale docs, contradictory rules, or run a context-guidance deep dive.
Use when the user asks to create, draft, save, revise, or improve a Codex Goal, GOAL.md, goal file, persistent objective, completion contract, or long-running Codex work objective. This skill must be used before inventing or saving any goal for Codex.
Use when the user wants to create, brainstorm, draft, or post social media content for X (Twitter), LinkedIn, or Instagram. This includes generating post ideas, writing captions or threads, adapting content across platforms, planning a posting cadence, or navigating to a platform's posting interface via browser tools. Trigger whenever the user mentions social media, posting, tweets, LinkedIn posts, Instagram captions, content calendars, thought leadership posts, or sharing research/business updates online — even if they just say something like 'I should post about this' or 'help me share this.'
Build Discounted Cash Flow (DCF) valuation models for commercial real estate (CRE). Calculate NOI-based cash flows, levered and unlevered IRR, equity multiple, DSCR, debt yield, exit cap rate reversion, and sensitivity analysis. Use for office, retail, industrial, multifamily, mixed-use, and hotel properties. Trigger on: CRE valuation, property DCF, NOI projection, cap rate analysis, IRR analysis, real estate investment return, acquisition underwriting, hold-period analysis, CRE sensitivity table.
Build discounted cash flow (DCF) valuation models in Excel specifically for commercial real estate (CRE). Use when creating CRE acquisition underwriting models, property-level DCF workbooks, NOI projections, rent roll buildouts, debt schedules, or IRR/equity-multiple return analyses in Excel or ExcelJS. Covers all CRE property types: office, retail, industrial, multifamily, mixed-use, hotel. Trigger on: 'CRE excel model', 'build underwriting model', 'property DCF excel', 'NOI projection spreadsheet', 'rent roll model', 'IRR excel', 'acquisition model', 'CRE waterfall', 'cap rate model'.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
| name | n8n-skills |
| description | Use when building n8n workflows, configuring nodes, setting up triggers, implementing data transformations, or integrating AI agents into automation workflows. |
| triggers | ["n8n","workflow automation","webhook","workflow trigger","n8n node","automation"] |
| role | specialist |
| scope | implementation |
| output-format | code |
| license | MIT |
| metadata | {"source":"https://github.com/haunchen/n8n-skills","author":"Frank Chen (@haunchen)","version":"2.2.0"} |
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
