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- Sandraschi
- Advanced Memory Mcp
- Windsurf Ide Integration
windsurf-ide-integration_skill
- Python
6
GitHub Stars
2
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
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npx veilstrat add skill sandraschi/advanced-memory-mcp --skill windsurf-ide-integration- _toc.md442 B
- SKILL.md1.3 KB
Overview
This skill provides expert guidance for integrating Advanced Memory skills with WindSurf IDE and Antigravity IDE. It documents a reproducible validation workflow, modules to load after verification, and a status-driven process for trusting the guidance. The content emphasizes dated source capture and a checklist-based research workflow to keep the integration current.
How this skill works
The skill inspects your project for Advanced Memory entry points and maps them to WindSurf and Antigravity IDE extension hooks, configuration files, and runtime expectations. It uses a research checklist to ensure sources are dated and a known-gaps module to surface unresolved issues before enabling the integration in production. Loading topic modules is gated by validation status and confidence levels to prevent premature adoption.
When to use it
- When adding Advanced Memory features to a WindSurf or Antigravity-based workflow
- Before deploying memory-intensive agents that rely on IDE extensions
- When you need a reproducible validation process for third-party skill integration
- When consolidating research and source provenance for team review
- When you require a safe gating mechanism before enabling core guidance
Best practices
- Capture and date all sources in the research checklist before trusting guidance
- Resolve items in the known-gaps module prior to loading topic modules
- Only load modules from the table of contents after validation passes
- Update the status banner and confidence level whenever research or fixes complete
- Use the module structure to separate legacy guidance from validated instructions
Example use cases
- Integrating a memory-persistent conversational agent into WindSurf for desktop testing
- Configuring Antigravity IDE extension settings to expose Advanced Memory APIs during development
- Rolling out memory feature toggles after team validation and gap resolution
- Auditing an existing integration to identify missing validation steps and source dates
FAQ
Not yet — follow the research checklist and resolve known gaps. Only mark the skill as trusted after confidence is Medium or High.
Where should I record source provenance?
Record all dated sources inside the research checklist module to maintain traceability and support future validation.