Free AI Agent Templates, Compared Across Platforms
Agent templates span two very different shapes: workflow builders that call a model as one step, and skill-style definitions that make a model reliable at a task. Picking the wrong shape is the most common early mistake, and no vendor’s documentation will tell you so.
9 templates across 6 platforms. Cross-platform on purpose: the right tool depends on the job, not on whose tutorial you happened to read.
Two shapes, and how to tell which one you need.
A workflow agent is a graph. Something triggers it, data moves through nodes, a model is called at one or more points, and a result is written somewhere. It is deterministic in structure and probabilistic only where you let it be. n8n, Flowise, Langflow and Dify are all this shape. Use it when the sequence of steps is known in advance and only the judgement inside a step is uncertain.
A skill agent is a capability. There is no graph. You describe how to do a task properly, and the model decides when to apply it and how to sequence its own work. Claude Skills are this shape. Use it when the sequence cannot be known in advance because it depends on what the model finds partway through.
The failure mode of choosing wrongly is predictable. Forcing an open-ended research task into a fixed workflow graph produces something brittle that breaks on the first input that does not match the author’s assumptions. Handing a rigid, auditable, compliance-sensitive process to a free-roaming agent produces something nobody can certify. Most real systems end up using both, with a workflow providing the schedule and the guardrails and a skill providing the judgement inside one step.
Which to reach for
Start with Claude Skills if
the task is judgement-heavy, the steps vary by input, and a person is in the loop. Skills need no infrastructure, so the cost of trying one is close to zero.
Start with n8n if
the task runs on a schedule or a trigger, touches several systems, and must keep running when nobody is watching. The model is one node among many.
Be careful with either if
the output feeds something irreversible: payments, patient records, anything with a regulator attached. Both shapes need a human approval step there, and almost no free template includes one.
9 ai agents templates.
PDF Skill
Teaches Claude to read, merge, split, rotate, watermark, fill forms and OCR scanned PDFs. One of the four skills that power Claude's production document features.
Watch out: Source-available, so you can read and run it but not repackage it into your own commercial product. If that matters, build your own PDF skill using the same structure.
MCP Builder Skill
Scaffolds Model Context Protocol servers so Claude can connect to your own tools and data sources. The fastest route from an internal API to an agent-usable tool.
Watch out: Generates a working server skeleton, not your business logic. Auth, rate limiting and error semantics for your specific API are still yours to write.
Skill Creator
A skill for writing skills. Handles the SKILL.md frontmatter, folder structure, and description tuning that determines whether a skill actually triggers when it should.
Watch out: Getting a skill to trigger reliably is mostly about the description field, and that is judgement rather than tooling. Expect to iterate.
Web App Testing Skill
Drives a browser to test web applications, verify flows and catch regressions without hand-writing a full Playwright suite up front.
Watch out: Great for exploratory checks. It does not replace a committed regression suite that runs in CI on every push.
Langflow Starter Flows
The bundled starter projects covering RAG, chat over documents and basic agents. MIT licensed, so these are safe to fork and rework for client projects.
Watch out: Starter flows assume a single user and a small document set. Multi-tenant retrieval and per-user access control are a rebuild, not a setting.
Vapi Voice Agent Quickstart (Python)
The official Python client for starting Vapi voice calls directly from your application. The practical starting point for a phone-based agent.
Watch out: An SDK, not a working agent. Vapi has no community template gallery comparable to n8n, so voice builds start closer to scratch than buyers expect.
Hugging Face Spaces
Runnable ML demo apps, each in its own repo. Most can be duplicated into your own account in one click, which makes them the closest thing to a template in the ML world.
Watch out: Free-tier Spaces sleep when idle and cold-start slowly. Anything customer-facing needs paid persistent hardware, which changes the economics entirely.
Flowise Community Chatflows
Visual LLM chatflows covering RAG, PDF chat, SQL agents and support bots. Exported as JSON and imported into your own Flowise instance.
Watch out: Self-hosted LLM builders have had serious security advisories. Do not expose a Flowise instance to the internet without authentication in front of it.
Dify App Templates (DSL)
LLM app definitions exported as YAML DSL, covering chat assistants, agents and workflow apps. Portable between Dify instances.
Watch out: The DSL is portable between Dify instances and nowhere else. Committing to it is committing to Dify.
Work out whether it is worth automating at all.
A template is only worth importing if the process behind it is worth automating. The ROI calculator puts an annual figure on the manual version, and the readiness assessment tells you whether your systems can absorb it. If a free template turns out to be enough, that is a good outcome and we will say so.
Already committed to a platform? Go straight to free Claude Skills templates or free n8n templates.
Thirty minutes.
We'll tell you exactly
where your ROI is.
No sales deck. No 50-page report you have to pay for before anything gets built. Just a direct conversation about which of your workflows are costing the most and whether AI can fix them. If there's no compelling answer, we'll say so. And it's a conversation with Kash, our founder, not a rep reading from a script, because the person who built this business is the one who should understand yours.