czlonkowski
- 26 skills
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- ▌ N8n Agents 2 · czlonkowski bundleDesign n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool calling, $fromAI, system prompts, agent memory, sessionId, structured/JSON output, output parser, RAG, vector store, a chat assistant/bot, or human-in-the-loop review. Covers Agent-vs-chain-vs-classifier choice, the model/memory/tools/outputParser slots, tool names/descriptions as prompt, structured output with autoFix, memory, RAG, human review, and chat topologies.
- ▌ N8n Code Tool 2 · czlonkowski bundleWrite JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will invoke, parsing the `query` input, returning a string result, defining an input schema for structured arguments (specifyInputSchema, jsonSchemaExample, DynamicStructuredTool), or troubleshooting errors like "Wrong output type returned", "No execution data available", "The response property should be a string, but it is an object", "Cannot assign to read only property 'name'", or an AI agent that refuses to call the tool. Covers the critical differences between Code node and Code Tool: return format (string vs `[{json:{...}}]`), unavailability of `$fromAI`/`$input`/`$helpers` in the Code Tool sandbox, naming rules for AI invocation, and when to use `toolWorkflow`/HTTP Request Tool instead.
- ▌ N8n Code Python 2 · czlonkowski bundleWrite Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically requests Python for an n8n Code node. Note — JavaScript is recommended for 95% of use cases — only use Python when the user explicitly prefers it or the task requires Python-specific standard library capabilities (regex, hashlib, statistics). EXCEPTION — for Python in the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode), use the n8n-code-tool skill instead (input is _query, return must be a string).
- ▌ N8n Code Javascript 2 · czlonkowski bundleWrite JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node errors, choosing between Code node modes, or doing any custom data transformation in n8n. Always use this skill when a workflow needs a Code node — whether for data aggregation, filtering, API calls, format conversion, batch processing logic, or any custom JavaScript. Covers SplitInBatches loop patterns, cross-iteration data, pairedItem, and real-world production patterns. Also use when asked why a Code node or workflow is slow, which execution mode is faster, or how to cut per-item overhead on large datasets. EXCEPTION — for the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode, a tool attached to an AI Agent), use the n8n-code-tool skill instead; it has a different runtime contract.
- ▌ N8n Expression Syntax 2 · czlonkowski bundleValidate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, mapping data between nodes, or referencing webhook data in workflows. Use this skill whenever configuring node fields that reference data from previous nodes — expressions are how n8n passes data between nodes, and getting the syntax wrong is the most common source of workflow errors. Also use when asked whether a complex expression hurts performance.
- ▌ Opencoo Design · czlonkowski bundleUse this skill to generate well-branded interfaces and assets for opencoo, either for production or throwaway prototypes/mocks/etc. Contains essential design guidelines, colors, type, fonts, assets, and UI kit components for prototyping.
- ▌ Blender Web 3d · czlonkowski bundleWork with Blender from Claude — headless CLI scripting or the Blender MCP — to build, modify, render, and publish any 3D model, including shipping it online as an interactive Three.js/Next.js web app (GLB export with Draco+WebP, orbit viewer, bloom, animated parts, Vercel deploy). Use this whenever the user wants to create, improve, fix, render, or iterate on any Blender model or scene — phrases like "improve the model", "fix this part", "render this", "make a 3D web demo", "export to glTF/GLB", "use blender", "the model looks wrong in the browser", "optimize the 3D scene", or any screenshot-driven feedback loop on a 3D asset. Also use it when debugging a Three.js viewer that renders black, glows wrong, or has detached/floating parts, and when deciding between Blender MCP and headless CLI. Proven on the Aurora colony-ship project.
- ▌ Astra Advisor · czlonkowski bundleConsult GPT-6 Astra for a compact second opinion on costly-to-revert decisions, architecture forks, stuck debugging after two distinct failed attempts, production plans, or consequential unattended automation. Use when the user asks for Astra advice or when a lower-tier orchestrator needs an evidence-backed strategic verdict. Covers briefing, explicit model selection, bounded consults, and weighing the answer; skip routine reversible edits and requests merely asking about Astra.
- ▌ Fable Advisor · czlonkowski bundleConsult Claude Fable for a compact strategic second opinion from Codex or Claude Code. Use before costly-to-revert architecture, schema, API, migration, or unattended-automation decisions; after two distinct failed fix attempts; for consequential plan or completion review; or when the user explicitly asks for Fable advice. Codex invokes claude -p with an explicit Fable model; Claude Code uses its native advisor agent. Covers compact evidence packets, three-interaction budgets, and weighing the verdict. Skip routine reversible edits and questions merely about Fable.
- ▌ Astra Orchestrator · czlonkowski bundleCoordinate substantial fact-finding from a GPT-6 Astra session in Codex using native GPT-5.6 Luna, Terra, or Sol workers. Use for codebase sweeps, multi-file log triage, document corpora, research, and coverage checks where independent readers can return concise evidence. Keeps judgment and synthesis on Astra while bounding worker context and retries. Skip small reads, pure generation, and second-opinion requests that belong to astra-advisor.
- ▌ Fable Orchestrator · czlonkowskiDelegation protocol for sessions running on Claude Fable 5 (or any premium model) — plan big, execute small. Use BEFORE pulling any bulk material into your own context — sweeping a codebase, triaging logs, reviewing a document set, researching across many web pages, verifying N facts against sources, auditing every workflow/config/endpoint, or any task where the reading is mandatory and voluminous. Critical because subagents inherit the session model — on a Fable session an un-pinned Explore or general-purpose spawn bills at Fable rates, so delegation alone saves nothing; this skill makes the rate split real with parallel workers pinned to Sonnet/Haiku that read in their own contexts and report distilled findings (~2.5× cheaper, ~3× faster, 84–98% of input at worker rates in Anthropic's cookbook measurements). Fires on phrasings like "sweep", "audit all", "go through every", "check each", "triage these logs", "research across", "verify against the docs", "keep the cost down", "fan out", "delegate the reading"
- ▌ N8n Agents · czlonkowski bundleDesign n8n AI agents with best practices for node selection, sub-node wiring, tool design, structured output, and memory management.
- ▌ N8n Code Tool · czlonkowski bundleWrite and debug code inside n8n's Custom Code Tool node, with guidance on input modes, return formats, error handling, and common pitfalls.
- ▌ N8n Code Python · czlonkowski bundleWrite Python code in n8n Code nodes, covering data access patterns, return formats, and standard library limitations.
- ▌ N8n Self Hosting · czlonkowski bundleDeploy a production self-hosted n8n instance on a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS.
- ▌ N8n Subworkflows · czlonkowski bundleBuild reusable, composable n8n sub-workflows with typed inputs, stateless or stateful design, and discoverable naming conventions.
- ▌ N8n Error Handling · czlonkowski bundleMakes n8n workflow failures loud, structured, and recoverable by wiring per-node error outputs, retry logic, error-trigger workflows, and proper HTTP response shapes.
- ▌ N8n Multi Instance · czlonkowski bundleManage multiple n8n instances over MCP by discovering, switching, and verifying the target instance before reads and writes.
- ▌ N8n Binary And Data · czlonkowski bundleHandle files and binary data in n8n workflows correctly, covering the $binary vs $json split, reading/writing binary, preserving binary across transforms, and the agent-tool binary boundary.
- ▌ N8n Code Javascript · czlonkowski bundleWrite JavaScript code in n8n Code nodes for data transformation, API calls, and workflow logic.
- ▌ N8n MCP Tools Expert · czlonkowski bundleProvides expert guidance for using n8n-mcp MCP server tools to build, validate, and manage n8n workflows efficiently.
- ▌ Using N8n MCP Skills · czlonkowski bundleRoutes n8n workflow-building tasks to the correct skill, with defaults and red-flag guidance for reliable n8n automation.
- ▌ N8n Expression Syntax · czlonkowski bundleValidate n8n expression syntax and fix common errors when writing {{}} expressions, accessing $json/$node variables, and mapping data between nodes.
- ▌ N8n Validation Expert · czlonkowski bundleInterpret n8n validation errors and warnings, guide iterative fixes, and explain validation profiles, error types, and auto-sanitization.
- ▌ N8n Workflow Patterns · czlonkowski bundleProvides proven architectural patterns for building n8n workflows, covering webhook processing, HTTP API integration, database operations, AI agent workflows, batch processing, and scheduled tasks.
- ▌ N8n Node Configuration · czlonkowski bundleGuides configuration of n8n nodes with operation-aware field requirements, property dependencies, and progressive discovery patterns.