巧匠Developer Cheatsheet

Cline Cheatsheet - VS Code AI Coding Extension (formerly Claude Dev) Full Reference

All Cline VS Code extension commands in one place — from command palette entries to context refs, Plan to Act — organized by scenario. Copy and go.

AI CLI·25 commands·Last updated 2026-08-21
clineaivscodeextension编码代理plan-act

Command Palette Entries 5

Cline: Ask
Ask mode (Ctrl+Shift+L)
Cline: Explain
Explain selected code (Ctrl+Shift+E)
Cline: Refactor
Refactor selected code (Ctrl+Shift+R)
Cline: Generate
Generate code from a prompt (Ctrl+Shift+G)
Cline: Open In New Tab
Open Cline in a new tab

Context References 5

@file
Reference a single file as context
@folder
Reference a whole folder
@url
Reference web page content
@problems
Reference the Problems panel
Drag file into chat
Drop a file into the chat box to attach context

Plan & Act Modes 5

Plan Mode
Read-only planning, propose before editing
Act Mode
Edit code / run commands once approved
Mode toggle
Switch Plan/Act at the top of the chat
Approve step
Approve Cline actions one by one
Auto-Approve toggle
Auto-approve when on (use with care)

Model & Provider 5

Settings → Cline: API Provider
Switch Anthropic/OpenAI/local
Settings → Cline: Model
Pick the specific model
Configure API Key
Enter the provider key in settings
MCP Settings
Connect MCP servers for extra capability
History panel
View / restore past tasks

Workflow Tips 5

Plan then Act
Plan and confirm big changes before executing
@folder to scope
Give only relevant folders to cut noise
Approve per step
Confirm sensitive actions one by one
Reuse conversation
Continue the chat to keep context
Export task
Export task logs for review

Tips

  • Cline is among the most-installed AI coding extensions; Plan & Act dual modes are its differentiator — for big changes always Plan then Act.
  • Feed context precisely with @file / @folder — more accurate and token-efficient than dumping the whole repo.
  • On sensitive/prod repos keep Auto-Approve off and confirm Cline's file writes / commands one by one.
  • Multi-provider support (Anthropic/OpenAI/local) means no vendor lock-in; local models handle private tasks.

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Official References

Commands are compiled from the official docs below. Click to verify the latest usage.

Maintained by LaoHand

Publicly updated on Aug 21, 2026, continuously proofread against official docs.

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