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home / skills / jeremylongshore / claude-code-plugins-plus-skills / windsurf-code-completion

windsurf-code-completion skill

/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-code-completion

This skill configures and optimizes Windsurf's Supercomplete code completion to deliver fast, context-aware suggestions aligned with your coding style.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill windsurf-code-completion

Review the files below or copy the command above to add this skill to your agents.

Files (5)
SKILL.md
2.0 KB
---
name: "windsurf-code-completion"
description: |
  Configure and optimize Supercomplete code suggestions. Activate when users mention
  "code completion", "autocomplete", "supercomplete", "inline suggestions",
  or "ai completions". Handles completion configuration and optimization. Use when working with windsurf code completion functionality. Trigger with phrases like "windsurf code completion", "windsurf completion", "windsurf".
allowed-tools: Read,Write,Edit
version: 1.0.0
license: MIT
author: "Jeremy Longshore <[email protected]>"
---

# Windsurf Code Completion

## Overview

This skill enables configuration and optimization of Windsurf's Supercomplete AI-powered code completion. Supercomplete provides intelligent, context-aware suggestions that go beyond traditional autocomplete. It understands your codebase patterns, follows your conventions, and can complete multi-line blocks of code. Proper configuration ensures relevant, fast suggestions that match your coding style.

## Prerequisites

- Windsurf IDE installed and running
- Active Cascade AI subscription
- Project with code to analyze
- Understanding of coding patterns in project
- Language server enabled for target languages

## Instructions

1. **Configure Trigger Behavior**
2. **Set Up Language-Specific Options**
3. **Create Custom Snippets**
4. **Optimize Performance**
5. **Personalize Experience**


See `{baseDir}/references/implementation.md` for detailed implementation guide.

## Output

- Configured completion preferences
- Language-specific settings
- Custom snippet library
- Optimized completion experience

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- [Windsurf Supercomplete Guide](https://docs.windsurf.ai/features/supercomplete)
- [Language Server Configuration](https://docs.windsurf.ai/features/language-servers)
- [Custom Snippets Reference](https://docs.windsurf.ai/reference/snippets)

Overview

This skill configures and optimizes Windsurf Supercomplete code suggestions so inline AI completions are fast, relevant, and adapted to your project conventions. It helps set triggers, language-specific options, and custom snippets to shape multi-line and contextual completions. Use it to tailor completion behavior and improve developer productivity in Windsurf IDE.

How this skill works

The skill inspects project files, enabled language servers, and current completion triggers to produce a configuration profile for Supercomplete. It applies language-specific tuning, registers custom snippets, and adjusts performance settings such as cache sizes and inference timeouts. It can also suggest trigger and privacy controls to limit context sent to the Cascade AI service.

When to use it

  • When enabling or troubleshooting Windsurf code completion for a new project
  • When you want completions to follow project-specific conventions and style
  • When improving completion performance or reducing latency in the IDE
  • When adding or maintaining language-specific completion rules or snippets
  • When auditing privacy and context scope sent to the AI service

Best practices

  • Start by enabling the language server for each target language before tuning completions
  • Create small, focused custom snippets that reflect common multi-line patterns
  • Measure latency and decrease context window or cache TTL if suggestions are slow
  • Restrict repository paths and sensitive files from context sent to the AI service
  • Version control your completion config so teams share consistent behavior

Example use cases

  • Configure Supercomplete to prefer your project’s testing and logging patterns when completing functions
  • Add language-specific options for Python type hints and for JavaScript JSX fragments
  • Create a snippet library for repeated boilerplate like CI job templates or API client stubs
  • Optimize performance for large monorepos by excluding vendor and build directories from analysis
  • Adjust trigger behavior so inline suggestions appear only after a typed prefix or manual invocation

FAQ

Do I need a subscription to use Supercomplete?

Yes. An active Cascade AI subscription is required for Supercomplete-powered suggestions.

How do I protect sensitive code from being sent for completion?

Limit the context scope in configuration to exclude sensitive directories or file patterns and enable privacy controls to redact or truncate context before sending.