auggie-mcp
CommunityLocate code and recover task progress with confidence.
Software Engineering#semantic search#impact analysis#source verification#call chain#code retrieval#task recovery#debugging support
AuthorAoManoh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill prevents AI from making unsupported claims by using Auggie/Augment MCP to find relevant source evidence and to restore external task progress as leads rather than facts.
Core Features & Use Cases
- Semantic codebase retrieval: Find relevant files, call chains, and impact/risk leads across modules.
- Source-grounded verification: Forces confirmation by opening real files before editing or concluding.
- External task index recovery: Restores candidate next steps and continuity when context is lost, without treating it as truth for requirements or implementation details.
- Degrade gracefully: Falls back to file listing, precise text search, and real file reading when MCP is unavailable or results are too broad.
Quick Start
Ask your AI to run the auggie-mcp skill to locate where a specific behavior is implemented, then verify the findings by opening the exact files and line ranges before proposing any changes.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: auggie-mcp Download link: https://github.com/AoManoh/project_templates/archive/main.zip#auggie-mcp Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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