Agent skill

n8n Binary Data Handling

by czlonkowski in czlonkowski/n8n-skills

Explains how n8n keeps file bytes in $binary apart from structured $json data, and how to read, write and preserve binary across nodes, agent tools and chat.

MITAuto-check passedProductivity & Automation

Install n8n Binary Data Handling

skills CLI
$ npx skills add czlonkowski/n8n-skills --skill n8n-binary-and-data -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install czlonkowski/n8n-skills n8n-binary-and-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/czlonkowski/n8n-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/n8n-binary-and-data .claude/skills/n8n-binary-and-data && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
n8n-binary-and-data
GitHub stars
6.4k
Token cost
~3.9k tokens
SKILL.md length
1,994 words
Files
6
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Explains how n8n keeps file bytes in $binary apart from structured $json data, and how to read, write and preserve binary across nodes, agent tools and chat.

  • Works in 3 steps: File contents are in $binary, not $json.… → Binary cannot cross the AI-agent tool… → Chat surfaces render images by URL, not…
  • Reading a PDF or image downloaded in an n8n workflow
  • SKILL.md covers The three rules that prevent…, The two slots, Producing binary and Reading and writing binary in…, plus 10 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Every n8n item carries two separate slots, `$json` for structured data and `$binary` for file bytes, and mixing them up leaves you reading an empty field, losing a file mid-flow or giving an agent an unusable tool input. The skill states three rules: file contents live in `$binary`, binary cannot cross the AI-agent tool boundary in either direction, and chat surfaces render images from URLs, not from binary.

It explains the binary property name that producers and consumers share, with `data` as the common default, and why a webhook upload lands in `$binary` while form fields sit in `$json.body`. Companion files cover binary basics, using Merge to keep binary alive across transforms, the agent-tool boundary, where tool arguments and results are JSON only so files must be staged to storage and passed as a key or URL, and the CDN requirement for Slack, Discord, Telegram and similar chat surfaces.

When your agent uses it

  • Reading a PDF or image downloaded in an n8n workflow
  • Attaching a file to an email or chat message from a workflow
  • Passing a file to or from an AI agent tool
  • Fixing a Merge node that drops binary data
  • Sending an image to a chat platform that needs a URL

Example prompts

  • “My HTTP Request downloads a PDF but the next node sees nothing. Fix the binary property name.”
  • “Let the AI agent analyze an uploaded image by staging it to storage and passing a URL.”
  • “The Merge node is losing my file. Keep the binary through the transform.”

Requirements

  • An n8n instance with the workflow you are editing

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. File contents are in $binary, not $json. After an HTTP download, a "Read Files", or an email-attachment trigger, the bytes sit in…
  2. Binary cannot cross the AI-agent tool boundary — in either direction. Tool arguments and tool return values are JSON only. An uploaded…
  3. Chat surfaces render images by URL, not by $binary. Slack, Discord, Teams, Telegram, embedded webhook chat — none of them read the binary…

What it can do on your machine

Read from SKILL.md and the folder at commit 19cd793. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript and json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

n8n Binary Data Handling loads about 3.9k tokens when it runs. Until then it costs about 146 tokens; SKILL.md has 1,994 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~146
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from czlonkowski/n8n-skills at commit 19cd793, republished under its MIT licence (© czlonkowski). 1,994 words, ~3,856 tokens.

Download SKILL.mdSave it as .claude/skills/n8n-binary-and-data/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
n8n-binary-and-data
description
Handle files and binary data in n8n correctly. Use when working with files, images, PDFs, attachments, uploads or downloads, base64, vision/multimodal input, or when an AI agent needs a file as tool input or output — and whenever the user mentions $binary, binaryPropertyName, "read the PDF", "attach the file", "send the image", Merge losing binary, or a CDN for chat images. Covers the $binary vs $json split, reading/writing binary, keeping binary alive across transforms with Merge, the agent-tool binary boundary, and the CDN/URL requirement for chat surfaces.

n8n Binary and Data

Every n8n item carries two independent slots: $json for structured data and $binary for file bytes. They travel side by side through the workflow. File contents — the actual PDF, image, or zip — live in $binary, never in $json. Get that split wrong and you read an empty field, lose a file mid-flow, or hand an AI agent a tool input it can't use.

This skill covers where binary lives, how to read and write it, how to keep it from being silently stripped, the hard wall between binary and the AI-agent tool boundary, and why chat surfaces need a URL instead of raw bytes.


The three rules that prevent 90% of binary bugs

  1. File contents are in $binary, not $json. After an HTTP download, a "Read Files", or an email-attachment trigger, the bytes sit in $binary.<key>. $json holds metadata at most. Reading $json.data for file contents gives you nothing.

  2. Binary cannot cross the AI-agent tool boundary — in either direction. Tool arguments and tool return values are JSON only. An uploaded image can't be passed into a tool as a file, and a tool can't return raw bytes. Pre-stage to storage and pass a key or URL through JSON instead. See AGENT_TOOL_BINARY.md.

  3. Chat surfaces render images by URL, not by $binary. Slack, Discord, Teams, Telegram, embedded webhook chat — none of them read the binary slot. The image has to live somewhere a URL can fetch it. See CDN_REQUIREMENT.md.


The two slots

Each item is shaped like this:

json
{
  "json": { "customerId": 42, "status": "sent" },
  "binary": {
    "invoice": {
      "data": "<base64-encoded bytes>",
      "mimeType": "application/pdf",
      "fileName": "invoice-42.pdf",
      "fileExtension": "pdf"
    }
  }
}

The key inside binary (invoice here) is the binary property name. Most file-handling nodes have a binaryPropertyName parameter that points at it — the producer names the slot, the consumer references it by that name. The default key across most nodes is data, so when nothing tells you otherwise, assume $binary.data.

$json and $binary are separate namespaces. An expression like {{ $binary.invoice.fileName }} reads file metadata; {{ $json.customerId }} reads data. They never mix.

This split also explains a webhook gotcha: a Webhook trigger receiving multipart/form-data puts the uploaded file in $binary and the accompanying form fields in $json.body — so an uploaded file is not somewhere under $json at all. (The $json.body nesting for webhooks is n8n-expression-syntax territory.)

See BINARY_BASICS.md for the full slot anatomy, mime types, and size limits.


Producing binary

You rarely build a $binary slot by hand — nodes populate it for you:

SourceHow binary appears
HTTP Request with responseFormat: "file"Response body lands in $binary.data (or the name you set)
Read/Write Files from DiskFile contents read into $binary
Storage downloads (S3, Google Drive, Dropbox, etc.)Downloaded file in $binary.<key>
Email triggers with attachmentsEach attachment arrives in $binary
Provider AI media nodes (image/audio gen)Set options.binaryPropertyOutput so the bytes land where the next node looks

For an HTTP download, the one field that matters is responseFormat. Confirm it with get_node on nodes-base.httpRequest — leaving it as the default JSON/string format is the classic reason a downloaded file ends up as garbled text in $json instead of clean bytes in $binary.


Reading and writing binary in a Code node

Most workflows never need to crack open the bytes — they just pass binary through to a consumer (email attachment, file upload, Slack file). When you do need the raw bytes, do it in a Code node.

Read with getBinaryDataBuffer — do not try to base64-decode $binary.<key>.data by hand:

javascript
// Code node, "Run Once for Each Item"
const buffer = await this.helpers.getBinaryDataBuffer(0, 'data'); // (itemIndex, propertyName)
const text = buffer.toString('utf-8');
const length = buffer.length;

return [{
  json: { ...$json, length },
  binary: $input.item.binary,   // pass the binary through, or it's gone
}];

Write by building the slot yourself — base64 the bytes plus a mime type and file name:

javascript
const text = 'Hello, world!';
return [{
  json: { ok: true },
  binary: {
    report: {
      data: Buffer.from(text).toString('base64'),
      mimeType: 'text/plain',
      fileName: 'report.txt',
      fileExtension: 'txt',
    },
  },
}];

The Code-node sandbox, helpers, and execution modes are the domain of n8n-code-javascript (and n8n-code-python) — use those for the language-level detail. The one binary-specific thing to remember here: a Code node that returns [{ json: {...} }] without re-attaching binary silently drops the file. See BINARY_BASICS.md.


Keeping binary alive across transforms

JSON-only nodes — Edit Fields (Set), Code, IF, and others — can drop the $binary slot from their output. The workflow validates clean and runs without error; the file just isn't there downstream when the email node goes to attach it.

Two ways to keep it:

  • Pass-through option on the transforming node. Edit Fields has includeOtherFields; a Code node can return binary: $input.item.binary explicitly. Cheapest fix when it's available.
  • Fan out and Merge by position. Route the source into both the transform and a bypass branch, then recombine with a Merge in combineByPosition mode. The JSON comes from the transform side, the binary survives on the bypass side.
[Source with binary] ─┬─→ [Edit Fields: change JSON] ─┐
                      │      (binary stripped here)     ├─→ [Merge: combineByPosition] ─→ [Email: attach]
                      └──────────────────────────────────┘
                          (bypass — binary passes through untouched)

combineByPosition pairs item N from each input, so the field counts must line up. The connection wiring and the alternatives for many-strip-point chains (upload-early, sub-workflow) are in MERGE_FOR_CONTEXT.md.


The agent-tool binary boundary

This is the sharpest edge. An AI Agent talks to its tools (Custom Code Tool, Call n8n Workflow Tool, HTTP Request Tool, MCP tools) over JSON. Binary does not fit through that pipe in either direction. The fix is the same shape both ways: stage the bytes in storage, pass a key/URL through JSON, fetch on the other side.

Inbound — a user uploads a file the agent's tool must operate on:

  1. The chat trigger gives you a files[] array. Split it out and upload each file to private storage under a hashed key.
  2. Re-merge that branch before the agent runs (it's a synchronization barrier, not decoration), and set executeOnce: true on the agent so N files don't trigger N agent runs.
  3. Inject the keys into the agent's system prompt, listing both the original name (human context) and the storage key (what the tool needs), with an explicit "use EXACTLY this key".
  4. The tool receives the key as a string argument and downloads the file from storage itself.

Outbound — a tool generates a file the agent must return:

  1. The tool sub-workflow generates the binary, uploads it to storage, and returns JSON like { "ok": true, "key": "...", "url": "https://...", "mimeType": "image/png" }.
  2. The agent embeds the URL in its reply (or passes the key to another tool).

passthroughBinaryImages: true on the agent only changes what the LLM sees for vision — it does not let tools receive the file, and it's image-only (no PDFs, audio, or video). You still need the upload-and-pass-key pattern for any tool. Full patterns, hash strategy, storage choices, and the long-running-tool variant are in AGENT_TOOL_BINARY.md.

Building the tool itself? See n8n-code-tool for the Custom Code Tool contract and n8n-workflow-patterns for the AI-Agent-with-tools shape.


The CDN requirement for chat surfaces

When a workflow generates an image and the user wants it shown inside a chat message:

  • Binary on the item isn't enough. The chat client renders messages that reference images by URL (or pushes bytes through the platform's own file-upload API). It never reads $binary.
  • The bytes have to live somewhere a URL can fetch over HTTPS. Upload to an object store or drive first, then embed the returned URL.
  • n8n has no built-in CDN. The user provides the storage.

Ask which storage they already use rather than defaulting to S3 — object storage (S3, R2, GCS, Azure Blob, Backblaze B2, Supabase Storage) and drive-style services (Dropbox, Google Drive, OneDrive, Box) all work and all change the URL shape. Cloudflare R2 is the lowest-friction starting point if they have nothing. For sensitive content, use a signed URL with an expiry rather than a permanently public one. See CDN_REQUIREMENT.md.


Show full SKILL.md (795 more words)Show less

What's NOT available

  • $fromAI() cannot carry binary. It fills tool parameters with strings, numbers, booleans, and objects — never file bytes. Pass a storage key instead.
  • Tool arguments and returns are JSON only. There is no "binary parameter" on an agent tool, in or out.
  • n8n ships no CDN or public file host. Serving a file over a URL is always something the user's storage does, not n8n.
  • getBinaryDataBuffer is a Code-node helper. It isn't available in the Custom Code Tool sandbox (see n8n-code-tool).

Where Data Tables live

For persistent tabular storage — reference-counting staged files, tracking which keys are live, dedup — that's the n8n_manage_datatable surface, owned by n8n-mcp-tools-expert. This skill does not cover Data Tables.


Anti-patterns

Anti-patternWhat goes wrongFix
Reading file contents from $jsonBytes live in $binary; $json is empty or metadata onlyRead $binary.<key>, or getBinaryDataBuffer in a Code node
HTTP download without responseFormat: "file"Bytes arrive as mangled text in $json, not clean binarySet responseFormat: "file" on the HTTP Request node
Code node returns [{json:{...}}], no binaryThe file is silently dropped downstreamRe-attach binary: $input.item.binary in the return
JSON transform (Edit Fields/IF) eats the binaryEmail/upload node finds nothing to attachPass-through option, or fan out + Merge by position
Passing an uploaded file into a tool via $fromAI$fromAI can't carry binary; the tool gets nothingPre-stage to storage, inject the key in the system prompt, tool fetches by key
Assuming passthroughBinaryImages lets tools see the fileIt only affects what the LLM sees, and only for imagesStill need the upload-and-pass-key pattern for tools
Tool returns raw binary to the agentTool output is JSON; bytes don't survive (and bloat context)Upload, return { key, url } in JSON
Posting $binary to a chat surface and expecting an imageChat clients render by URL, not raw bytesUpload to storage/CDN, embed the URL or use the platform file API
Hardcoding base64 in a Code nodeHuge workflow JSON, slow, leakyReference via $binary, or upload and reference by URL

Reference files

FileRead when
BINARY_BASICS.mdFirst time handling binary, or reading/writing the $binary slot, mime types, size limits
AGENT_TOOL_BINARY.mdAn agent tool needs an uploaded file, or produces one — the boundary in either direction
MERGE_FOR_CONTEXT.mdBinary disappears after a JSON transform and you need to re-attach it
CDN_REQUIREMENT.mdShowing images in a chat surface or anywhere that needs URL-referenced images

Integration with Other Skills

n8n-code-javascript / n8n-code-python: the Code node is where you read/write raw bytes (getBinaryDataBuffer, Buffer.from(...).toString('base64')). Those skills own the sandbox, helpers, and execution-mode detail — this skill owns the rule that binary must be re-attached on return.

n8n-code-tool: the Custom Code Tool sandbox is narrower — no $binary, no getBinaryDataBuffer, no $fromAI. When a tool needs a file, this skill's storage-key pattern is how it gets one.

n8n-workflow-patterns: the agent-tool binary boundary sits inside the AI-Agent-with-tools pattern; the CDN flow is a generate → upload → reply chain.

n8n-node-configuration: responseFormat, binaryPropertyName, includeOtherFields, binaryPropertyOutput are all conditional fields — use get_node to confirm the exact names on the user's version.

n8n-expression-syntax: addressing $binary.<key>.fileName vs $json.body (webhook uploads in particular) is expression territory.

n8n-validation-expert: a dropped binary slot is a silent failure — validate_workflow won't flag it. Confirm presence by inspecting the execution.

n8n-mcp-tools-expert: owns n8n_manage_datatable (Data Tables) and n8n_executions — use the latter to confirm a binary slot actually survived a given node.

n8n-error-handling: storage uploads and downloads fail; the inbound/outbound staging steps need error branches so a missing key doesn't 404 silently.

using-n8n-mcp-skills: the index of how these skills fit together.


Verifying binary survived

Validation won't catch a stripped binary slot — it's a silent failure. Confirm it ran correctly:

  1. n8n_test_workflow (or trigger a real run) to produce an execution.
  2. n8n_executions to pull that execution, and inspect per-node output for the binary slot — it shows presence and metadata even if the base64 is too large to render.
  3. The node where binary last appears is the node before the strip. That's where the pass-through or Merge goes.

Quick Reference Checklist

  • File contents read from $binary.<key> — never $json
  • HTTP downloads use responseFormat: "file"
  • Code nodes re-attach binary on return when the file must continue
  • JSON transforms either pass binary through or Merge it back (combineByPosition)
  • No attempt to pass binary into/out of an agent tool — keys/URLs through JSON instead
  • passthroughBinaryImages used only for LLM vision, not as a tool channel
  • Chat-surface images uploaded to storage; the URL is embedded, not the bytes
  • Storage backend chosen with the user (not defaulted to S3); signed URLs for sensitive content
  • Binary presence confirmed by inspecting the execution, not by validation

Remember: two slots, side by side. Data rides in $json, files ride in $binary — and the moment a file has to cross an agent tool or reach a chat surface, it travels as a URL, not as bytes.

© czlonkowski, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files in skills/n8n-binary-and-data of czlonkowski/n8n-skills.

  • SKILL.md
  • AGENT_TOOL_BINARY.md
  • BINARY_BASICS.md
  • CDN_REQUIREMENT.md
  • MERGE_FOR_CONTEXT.md
  • README.md

Open the folder on GitHubat commit 19cd793

Compare with similar skills

n8n Binary Data Handling next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

n8n Binary Data Handling compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Lettabotletta-ai/lettabot326—~3.4kAutomated safety check: PassApache-2.0
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Wire First NanoClaw Agentnanocoai/nanoclaw31k—~2.5kAutomated safety check: NotesMIT

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Questions about n8n Binary Data Handling

What does n8n Binary Data Handling do?

Explains how n8n keeps file bytes in $binary apart from structured $json data, and how to read, write and preserve binary across nodes, agent tools and chat. Every n8n item carries two separate slots, `$json` for structured data and `$binary` for file bytes, and mixing them up leaves you reading an empty field, losing a file mid-flow or giving an agent an unusable tool input. The skill states three rules: file contents live in `$binary`, binary cannot cross the AI-agent tool boundary in either direction, and chat surfaces render images from URLs, not from binary.

When should I use n8n Binary Data Handling?

n8n Binary Data Handling fits situations like: reading a PDF or image downloaded in an n8n workflow; attaching a file to an email or chat message from a workflow; passing a file to or from an AI agent tool; fixing a Merge node that drops binary data.

How do I install n8n Binary Data Handling in Claude Code?

Run `npx skills add czlonkowski/n8n-skills --skill n8n-binary-and-data -a claude-code`. Or copy the skill folder (skills/n8n-binary-and-data in czlonkowski/n8n-skills) into .claude/skills/n8n-binary-and-data in your project. Claude Code loads it when a task matches its description.

How do I install n8n Binary Data Handling in Codex?

Run `npx skills add czlonkowski/n8n-skills --skill n8n-binary-and-data -a codex`. Or copy the skill folder (skills/n8n-binary-and-data in czlonkowski/n8n-skills) into .agents/skills/n8n-binary-and-data in your project. Codex loads it when a task matches its description.

Can I use n8n Binary Data Handling in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add czlonkowski/n8n-skills --skill n8n-binary-and-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/n8n-binary-and-data, .gemini/skills/n8n-binary-and-data, .github/skills/n8n-binary-and-data and .opencode/skills/n8n-binary-and-data in your project.

What does n8n Binary Data Handling need to run?

SKILL.md names no scripts, command-line tools or credentials: n8n Binary Data Handling is instructions for the agent only. Our summary lists: An n8n instance with the workflow you are editing.

Does n8n Binary Data Handling access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is n8n Binary Data Handling safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does n8n Binary Data Handling use?

n8n Binary Data Handling is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does n8n Binary Data Handling use?

About 3.9k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to n8n Binary Data Handling?

Skills that share tags, products or a category with n8n Binary Data Handling: OpenClaw to NanoClaw Migration (nanocoai/nanoclaw, 31k stars), Traul Message Search (dandaka/traul, 113 stars), Lettabot (letta-ai/lettabot, 326 stars) and Message Push (0xranx/golembot, 323 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains n8n Binary Data Handling?

czlonkowski (a GitHub user) maintains it in czlonkowski/n8n-skills, which has 6,387 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 16, 2026.

Source: czlonkowski/n8n-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.