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Productivity & Automation · LangChain · For developers
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Explains the n8n Custom Code Tool's actual runtime contract so an AI-agent-callable tool doesn't get written like a regular workflow Code node. | czlonkowski/ | 6.4k | — | ~4k | Automated safety check: Pass | MIT | 2 days ago |
| 2 | Guides designing and building an official Apify integration for a company's product: workflow-automation apps, AI agent plugins, AI framework packages or direct API clients. | apify/ | 2.4k | — | ~3.4k | Automated safety check: Pass | No licence | 3 days ago |
| 3 | Guide to designing n8n AI agents: choosing between Agent, chain, classifier and extractor nodes, wiring model, memory, tools and parser, plus RAG and human review. | czlonkowski/ | 6.4k | — | ~6.8k | Automated safety check: Pass | MIT | 2 days ago |
| 4 | Write and debug JavaScript or Python for the AI-callable n8n Custom Code Tool, including schemas, sandbox limits, and return formats. | sickn33/ | 47k | 1 repo | ~4.1k | Automated safety check: Pass | MIT | 2 days ago |
| 5 | Design n8n AI agents, chains, classifiers, extractors, tool calling, memory, RAG, structured output, and human-review flows. | sickn33/ | 47k | 1 repo | ~6k | Automated safety check: Pass | MIT | 2 days ago |
| 6 | Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. | langchain-ai/ | 1.3k | — | ~549 | Automated safety check: Notes | MIT | 2 days ago |
| 7 | Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. | langchain-ai/ | 1.3k | — | ~548 | Automated safety check: Notes | MIT | 2 days ago |
| 8 | Advanced migration strategies for moving to Lindy AI from other platforms. | jeremylongshore/ | 2.8k | — | ~2k | Automated safety check: Pass | MIT | yesterday |