Retrieve semantic codebase leads and recover external task indexes via Auggie MCP.
npx skills add https://github.com/AoManoh/project_templates --skill auggie-mcp
Please help me install this Agent Skill. Skill: auggie-mcp Source: https://github.com/AoManoh/project_templates/tree/main/skills/auggie-mcp Command: npx skills add https://github.com/AoManoh/project_templates --skill auggie-mcp
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.
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.
High-intent search queries and answers about installing and using this skill.
Semantic codebase retrieval finds relevant files, call chains, and impact or risk leads across modules. You must verify these findings by opening the exact source files before proposing edits or conclusions.
Source-grounded verification prevents unsupported claims by forcing the AI to open real files and confirm line ranges before editing. This ensures conclusions are based on actual source evidence rather than assumptions.
External task index recovery restores candidate next steps and continuity when context is lost. Treat the recovered task state as leads to verify rather than absolute truth for requirements or implementation details.
Graceful degradation falls back to file listing, precise text search, and real file reading when semantic retrieval is unavailable or results are too broad. This enforces strict downgrade paths to maintain workflow continuity.
No, root-directory confirmation is required before initiating semantic codebase retrieval. This ensures the search scope is correctly bounded and the retrieved call chains or file references are accurate.
Yes, source-grounded verification applies to development, debugging, refactoring, and review scenarios where code location, call chains, or historical task states are uncertain. It forces real file verification before concluding.
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