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.
26 templates across 8 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.
- community-verified46%12
- listed50%13
- flagged4%1
26 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.
NDA Triage
Rapidly triages an incoming NDA into green (standard approval), yellow (counsel review), or red (full legal review), screening for embedded non-competes, non-solicits, or missing carveouts.
Watch out: This is a triage classifier, not a legal opinion. It routes to green, yellow, or red, but a human still has to actually read anything routed to yellow or red; treating a green result as a signed contract is the real risk, and the skill says as much itself.
Insurance Underwriting Assistant
An agentic Langflow pipeline that screens insurance applications against underwriting rules and flags risk factors before a human underwriter reviews the file.
Watch out: No LICENSE file in this repository, so treat it as reference rather than something to fork and ship: read the flow and rebuild the logic yourself rather than reusing the file verbatim.
Exit Interview Intelligence Report
Turns raw exit-interview transcripts into a structured intelligence report, surfacing recurring themes across departure reasons for HR and leadership.
Watch out: Built around a single exit-interview question format. A different questionnaire structure needs the parsing logic rebuilt, not just re-pointed at a new document.
Adaptive Onboarding Roadmap Agent
Builds a personalized onboarding roadmap for a new hire that adapts based on role, and tracks progress against it.
Watch out: No LICENSE file, same caveat as the rest of this collection. It also assumes a single onboarding track; branching the roadmap by role or seniority is not built in.
Debt Collection Strategy Agent
Generates a tailored debt-collection outreach strategy per account based on payment history and account risk profile.
Watch out: No LICENSE file, same caveat as the rest of this collection. The strategy logic is generic and does not encode jurisdiction-specific debt-collection compliance rules such as the FDCPA, which you would need to add yourself.
Deep Researcher Agent
A multi-step autonomous research agent that plans a research question, searches the web, and synthesizes a written report without a human directing each step.
Watch out: Makes several LLM calls per query as it plans, searches, and re-plans. On a metered API key that adds up fast on complex questions, and there is no built-in cost ceiling to stop a runaway research loop.
Crop Disease Detector
Classifies a photographed crop leaf against a trained image model to flag likely disease and severity.
Watch out: A hobbyist demo, not a diagnostic tool. Accuracy depends entirely on how closely your photos match its training images, and there is no published accuracy benchmark to check that against before you rely on it.
Patient Concierge
A conversational concierge agent that answers patient questions and triages requests before they reach front-desk staff.
Watch out: A conversational front door for a clinic, not a scheduling system. It still has to be wired to your actual EHR or booking system to do anything beyond talk; on its own it can discuss appointments without being able to book one.
Portfolio Management Team
A multi-agent team simulation that analyzes a portfolio from several specialist perspectives, research, risk, allocation, and produces a combined recommendation.
Watch out: A simulation of a portfolio team's reasoning, not a connection to real brokerage or market data. You feed it the positions yourself; it does not fetch them.
Support Routing System
Classifies an incoming support message and routes it to the right specialist agent or queue automatically.
Watch out: Routes based on the categories defined at setup. Add a new ticket type to your business and the router does not know about it until someone updates the flow.
Deep Research With Subagents
A multi-agent research pattern where subagents investigate different angles of a question in parallel before a lead agent synthesizes the findings.
Watch out: Spins up several subagents per research question, which multiplies the LLM API cost several times over compared to a single-agent researcher. Budget for that before pointing it at a long list of topics.
CV Scanning and Scoring
Extracts and scores resumes against a job description automatically, logging results to a spreadsheet for a recruiter to review.
Watch out: Scores against whatever criteria are configured once at setup. A materially different role profile needs the scoring prompt rewritten, not just a new job description pasted in.
Knowledge Support Agent
An internal HR chatbot that answers employee questions from your own documentation instead of routing every question to an HR inbox.
Watch out: A single shared knowledge base powers every answer. If the underlying documentation is thin or outdated, the agent confidently repeats that thinness back to employees rather than flagging the gap.
Content Draft Creator
Takes a topic or brief, researches it, and drafts ready-to-review content in the right format for cross-platform publishing.
Watch out: Produces a draft, not a publish-ready piece. Every output still needs a human editorial pass before it goes out, and the template does not build that in as a required step.
ATS Resume Screener
Scores a resume against a job description and returns a match analysis, the same logic behind commercial applicant tracking systems.
Watch out: Matches keyword and structural overlap against a job description, the same shallow logic real ATS software is criticised for. A strong candidate who describes their experience differently than the posting can score poorly.
Smart Recipe Recognition
Identifies a dish from a photo and returns likely recipe matches and ingredients.
Watch out: Classifies what is in the photo; it does not verify quantities or hidden ingredients such as allergens or substitutions, so its output should not be treated as dietary or allergen guidance.
Commercial Real Estate Underwriting
A standalone prompt skill covering commercial real estate underwriting analysis: rent roll review, cap rate reasoning, and risk flagging.
Watch out: A standalone prompt skill, not connected to any specific CRE data provider or model. It structures the analysis; you still have to feed it accurate rent rolls and comps.
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.
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