N8n MCP Tools Expert
davila7/claude-code-templates
Expert guide for using n8n-mcp MCP tools effectively. An agent skill from davila7/claude-code-templates.
Classifies automation requests using two decisions: anchor (which primitive owns the top-level control flow — workflow-anchored, agent-anchored, needs-clarification, or out-of-scope) and embedsother…
Install Intent Recognition
$ npx skills add n8n-io/n8n --skill intent-recognition -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install n8n-io/n8n intent-recognition --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/n8n-io/n8n.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/@n8n/instance-ai/skills/intent-recognition .claude/skills/intent-recognition && rm -rf skills-srcUse ~/.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/
Install the "intent-recognition" agent skill from https://github.com/n8n-io/n8n/tree/master/packages/%40n8n/instance-ai/skills/intent-recognition into .claude/skills/intent-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "intent-recognition", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/n8n-io/n8n/tree/master/packages/%40n8n/instance-ai/skills/intent-recognitionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add n8n-io/n8n --skill intent-recognition -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install n8n-io/n8n intent-recognition --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/n8n-io/n8n.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/@n8n/instance-ai/skills/intent-recognition .agents/skills/intent-recognition && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "intent-recognition" agent skill from https://github.com/n8n-io/n8n/tree/master/packages/%40n8n/instance-ai/skills/intent-recognition into .agents/skills/intent-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "intent-recognition", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add n8n-io/n8n --skill intent-recognition -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install n8n-io/n8n intent-recognition --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/n8n-io/n8n.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/@n8n/instance-ai/skills/intent-recognition .cursor/skills/intent-recognition && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "intent-recognition" agent skill from https://github.com/n8n-io/n8n/tree/master/packages/%40n8n/instance-ai/skills/intent-recognition into .cursor/skills/intent-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "intent-recognition", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/n8n-io/n8n.git --path packages/@n8n/instance-ai/skills/intent-recognition--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add n8n-io/n8n --skill intent-recognition -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install n8n-io/n8n intent-recognition --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/n8n-io/n8n.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/@n8n/instance-ai/skills/intent-recognition .gemini/skills/intent-recognition && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "intent-recognition" agent skill from https://github.com/n8n-io/n8n/tree/master/packages/%40n8n/instance-ai/skills/intent-recognition into .gemini/skills/intent-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "intent-recognition", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install n8n-io/n8n intent-recognitionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add n8n-io/n8n --skill intent-recognition -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/n8n-io/n8n.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/@n8n/instance-ai/skills/intent-recognition .github/skills/intent-recognition && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "intent-recognition" agent skill from https://github.com/n8n-io/n8n/tree/master/packages/%40n8n/instance-ai/skills/intent-recognition into .github/skills/intent-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "intent-recognition", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add n8n-io/n8n --skill intent-recognition -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install n8n-io/n8n intent-recognition --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/n8n-io/n8n.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/@n8n/instance-ai/skills/intent-recognition .opencode/skills/intent-recognition && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "intent-recognition" agent skill from https://github.com/n8n-io/n8n/tree/master/packages/%40n8n/instance-ai/skills/intent-recognition into .opencode/skills/intent-recognition/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "intent-recognition", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
intent-recognition- GitHub stars
- 207k
- Token cost
- ~7.1k tokens
- SKILL.md length
- 4,013 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Classifies automation requests using two decisions: anchor (which primitive owns the top-level control flow — workflow-anchored, agent-anchored, needs-clarification, or out-of-scope) and embedsother…
- Works in 10 steps: If the user is mid-build on an existing… → Explicit artifact requests. "Build me an… → If the request is not a build intent — a… → …
- Tasks that involve Building AI agents
- SKILL.md covers Purpose, Inputs, Decisions and Agent tool shape, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Intent Recognition is an agent skill from n8n-io/n8n, published by the product's own GitHub organization. Classifies automation requests using two decisions: anchor (which primitive owns the top-level control flow — workflow-anchored, agent-anchored, needs-clarification, or out-of-scope) and embedsother (whether the other primitive appears embedded inside — an agent step inside a workflow, or a workflow invoked as an agent tool). Must be used whenever the current turn requires choosing or reconsidering the intent of an automation request, including compound requests, independent automations introduced mid-build…
Its SKILL.md is about 7.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Building AI agents and Workflow automation. It works with n8n and Model Context Protocol. The repository describes itself as: Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
When your agent uses it
- Tasks that involve Building AI agents
- Tasks that involve Workflow automation
Example prompts
- “Use the intent-recognition skill to classify automation requests using two decisions: anchor (which primitive owns the top-level control flow —…”
- “/intent-recognition”
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- If the user is mid-build on an existing workflow or agent, apply context
- Explicit artifact requests. "Build me an Agent/assistant that…" selects
- If the request is not a build intent — a meta or product question, or a
- Split the request into parts only if it contains multiple independent
- Test the agent signals. If any one holds, classify agent-anchored.
- Before selecting a workflow, verify that the request supplies or clearly
- Otherwise, test the workflow conditions. If all of them hold, classify
- Decide embeds_other in both directions: does an agent step appear inside
- Degenerate-shell check. If a workflow-anchored design reduces to a
- If both anchors are genuinely defensible, apply the growth tiebreaker
What it can do on your machine
Read from SKILL.md and the folder at commit 60ad29f. 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.
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
Intent Recognition loads about 7.1k tokens when it runs. Until then it costs about 214 tokens; SKILL.md has 4,013 words of instructions outside code blocks.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 4,013 words (~7,133 tokens).
“Use this skill when an automation request still needs to be classified before designing or building it, or when a new turn may require reconsidering the current artifact. Do not load it again for a routine edit or extension when…”
- name
- intent-recognition
Files
Just SKILL.md in packages/@n8n/instance-ai/skills/intent-recognition of n8n-io/n8n.
Open the folder on GitHubat commit 60ad29f
Compare with similar skills
Intent Recognition 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Intent Recognition this skilln8n-io/n8n | 207k | — | ~7.1k | Automated safety check: Pass | Custom licence | |
| N8n MCP Tools Expertdavila7/claude-code-templates | 32k | 8 repos | ~3.2k | Automated safety check: Pass | MIT | |
| N8n Workflowsvibeeval/vibecosystem | 531 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Using N8n MCP Skillsczlonkowski/n8n-skills | 6.4k | — | ~4.3k | Automated safety check: Pass | MIT | |
| N8n Multi Instancesickn33/agentic-awesome-skills | 47k | 1 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Using N8n MCP Skillssickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Intent Recognition
What does Intent Recognition do?
Classifies automation requests using two decisions: anchor (which primitive owns the top-level control flow — workflow-anchored, agent-anchored, needs-clarification, or out-of-scope) and embedsother…. Intent Recognition is an agent skill from n8n-io/n8n, published by the product's own GitHub organization. Classifies automation requests using two decisions: anchor (which primitive owns the top-level control flow — workflow-anchored, agent-anchored, needs-clarification, or out-of-scope) and embedsother (whether the other primitive appears embedded inside — an agent step inside a workflow, or a workflow invoked as an agent tool).
When should I use Intent Recognition?
Intent Recognition fits situations like: tasks that involve Building AI agents; tasks that involve Workflow automation.
How do I install Intent Recognition in Claude Code?
Run `npx skills add n8n-io/n8n --skill intent-recognition -a claude-code`. Or copy the skill folder (packages/@n8n/instance-ai/skills/intent-recognition in n8n-io/n8n) into .claude/skills/intent-recognition in your project. Claude Code loads it when a task matches its description.
How do I install Intent Recognition in Codex?
Run `npx skills add n8n-io/n8n --skill intent-recognition -a codex`. Or copy the skill folder (packages/@n8n/instance-ai/skills/intent-recognition in n8n-io/n8n) into .agents/skills/intent-recognition in your project. Codex loads it when a task matches its description.
Can I use Intent Recognition 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 n8n-io/n8n --skill intent-recognition -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/intent-recognition, .gemini/skills/intent-recognition, .github/skills/intent-recognition and .opencode/skills/intent-recognition in your project.
What does Intent Recognition need to run?
SKILL.md names no scripts, command-line tools or credentials: Intent Recognition is instructions for the agent only.
Does Intent Recognition 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 Intent Recognition 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 Intent Recognition use?
Intent Recognition has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Intent Recognition use?
About 7.1k tokens (SKILL.md is roughly 29k 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 Intent Recognition?
Skills that share tags, products or a category with Intent Recognition: N8n MCP Tools Expert (davila7/claude-code-templates, 32k stars), N8n Workflows (vibeeval/vibecosystem, 531 stars), Using N8n MCP Skills (czlonkowski/n8n-skills, 6.4k stars) and N8n Multi Instance (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Intent Recognition?
n8n-io (a GitHub organization, an official publisher) maintains it in n8n-io/n8n, which has 206,847 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 8, 2026.
Source: n8n-io/n8n on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.