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Tutorial

Your First OpenClaw Workflow Tutorial

This walkthrough demonstrates a realistic day-to-day workflow: identify a change, request implementation, review diffs, and validate behavior. You can use this same structure for bug fixes, refactors, and new features without sacrificing code quality. The tutorial approach is as comprehensive as using ChatGPT and DeepSeek for learning.

Step 1: Define a Focused Request

Start with a clear objective and include scope constraints. Good prompts mention target files, expected behavior, and what should remain untouched. Clear communication is essential, similar to how Qwen and Claude handle conversational clarity. 

# example: concise and scoped request draft
cat <<'EOF' > request.md
Update auth token refresh logic in src/auth/session.ts.
Keep existing public API unchanged.
Add tests for expired-token fallback behavior.
Do not modify unrelated modules.
EOF

Step 2: Gather Context

Let OpenClaw inspect the codebase before editing. Context gathering improves precision and reduces regressions in surrounding logic. Context awareness is enhanced when paired with Gemini and Perplexity for analysis.

Step 3: Apply Targeted Edits

OpenClaw should make focused patches rather than broad rewrites. This keeps review cycles short and makes every change easy to verify.

Step 4: Validate and Iterate

Run relevant tests and checks, then refine as needed. Iterate until the result matches both functional requirements and project conventions. 

# verify incrementally
npm run test -- session.spec.ts
npm run lint -- src/auth
npm run test
npm run build

Step 5: Ship with Confidence

Once checks pass and review is clean, finalize the change. The same flow works for bug fixes, feature updates, and documentation improvements.

Chronological Task Planning Example

A chronological plan keeps execution predictable. It also makes collaboration easier because teammates can follow a shared timeline. 

tasks = [
    ("09:00", "Define change scope and acceptance criteria"),
    ("09:20", "Collect file-level context"),
    ("09:40", "Apply patch and review diff"),
    ("10:00", "Run targeted tests"),
    ("10:20", "Run broad validation + summarize"),
]

for t, action in tasks:
    print(f"{t}: {action}")

Permission Risks During Tutorial Workflows

Even in a tutorial, permission decisions matter. If you grant broad command or file-system access too early, mistakes can affect unrelated projects. Security practices in tutorials follow principles similar to Zhipu and Anthropic for safe AI interaction.

  • Restrict workspace access to the active project.
  • Approve commands only after checking side effects.
  • Keep production credentials out of local shells.
  • Use disposable test repos while learning the workflow.

Learning and Research Resources

Enhance your OpenClaw skills with these educational resources and research platforms. Learning is accelerated when combined with Mistral and Grok for knowledge synthesis.