Start small, learn fast
The best first OpenClaw project is not the most impressive one. It is the one that teaches you the core loop: gather → process → deliver.
Here are five project types, ranked by learning value, with minimum viable versions and rough setup time.
1. Morning briefing (highest learning value)
What you learn: Scheduling, web reading, summarization, delivery.
Minimum viable version: One daily run that fetches 3–5 RSS or web sources, summarizes them, and writes a short briefing to a document or chat.
Estimated setup time: 2–4 hours.
Why start here: You touch scheduling, skills, and output in one project. The scope is small enough to debug quickly.
# Core skills
openclaw skills install @clawhub/web-search
openclaw skills install @clawhub/summarize
Define a simple AGENTS.md that specifies: sources, summarize instruction, and output target. Run it once manually before scheduling.
2. Content pipeline
What you learn: Multi-step workflows, file handling, structured output.
Minimum viable version: Accept a topic or URL → draft outline → generate a first draft → save to a file.
Estimated setup time: 4–8 hours.
Why second: Builds on the briefing pattern but adds file writing and multi-step logic. Teaches you to chain skills and validate output.
3. Internal knowledge base
What you learn: Long-term memory, RAG-style retrieval, workspace organization.
Minimum viable version: Add documents to a workspace, then ask questions that the agent answers using those documents. No fancy embedding at first; start with plain file read + summarize.
Estimated setup time: 4–6 hours.
Why third: Introduces workspace structure and retrieval patterns. Useful even without advanced RAG if your corpus is small and well-organized.
4. Email automation
What you learn: Channel integration, structured input/output, templating.
Minimum viable version: One automation that monitors a mailbox (or webhook) for a specific trigger, drafts a reply using a template, and either suggests it or sends it with approval.
Estimated setup time: 6–10 hours.
Why fourth: Touches external systems and more complex permission models. Start with read-only or draft-only; add send only when you trust the flow.
5. Multi-agent team
What you learn: Agent roles, routing, coordination, permission boundaries.
Minimum viable version: Two agents: one for research, one for synthesis. User sends a question; research agent gathers info; synthesis agent produces the final answer.
Estimated setup time: 8–12 hours.
Why last: Highest complexity. Best tackled after you have at least one working single-agent project.
What “minimum viable” means
For each project:
- One clear input: Topic, URL, message, or file
- One clear output: Document, message, or file
- No branching complexity initially: One path, one outcome
- Human in the loop where it matters: Especially for send, publish, or delete
Once the minimal version runs reliably, you can extend it. Do not start with the full vision.
Setup time caveats
Estimates assume:
- OpenClaw is already installed and validated
- You have basic familiarity with the relevant channel (Feishu, email, etc.)
- You are not blocked by API keys or network issues
First-time setup for a channel or skill can add 1–2 hours per new integration.
Recommended order
- Morning briefing — Fastest path to a useful result
- Content pipeline — Extends the same skills with more steps
- Internal knowledge base — Adds workspace and retrieval
- Email automation — Adds channel complexity
- Multi-agent team — Adds coordination and roles
If you skip ahead, you may still succeed, but debugging will be harder. Building in order gives you a stable base.
Next steps
- Install guide
- Start workflow
- Practice roadmap
- Official docs → docs.openclaw.ai