Dual Ask and Agent modes
When you only need understanding, no files are changed. When execution is needed, Agent plans the work, invokes tools, and presents the changes.
Free personal project · Proof of product engineering capability
Slip Loomer covers both office documents and software development: Ask is read-only understanding; Agent edits files, runs commands, and calls tools.
read_office_file sales.xlsx
Analyze regional and SKU anomalies
write_office_file report.pptx
Free personal project · Proof of capability
A VS Code / Cursor AI assistant that truly reads documents, edits code, and runs tools.
From Agent orchestration and security boundaries to Office files and multi-session use, Slip Loomer is a complete AI Agent product-engineering practice, and it shows the system skills needed for enterprise-field Agents.
Core capabilities
From model orchestration and file security to Office documents and software engineering, all capabilities come together in one workspace.
When you only need understanding, no files are changed. When execution is needed, Agent plans the work, invokes tools, and presents the changes.
Read, create, and edit Word, Excel, and PowerPoint files, with PDF conversion to PPT, Word, or Markdown.
Search code, edit files, review Diffs, run terminal commands, and read LSP diagnostics across development and troubleshooting.
PathGuard limits readable and writable paths; gitignore paths cannot be read or written, and sensitive files never enter the context.
Load project Skills on demand, retain local memory across sessions, and automatically compress context in long conversations.
Connect custom MCP tools, use OpenAI-compatible APIs, and assign different models to different roles.
Example use cases
These are representative workflows already supported by Slip Loomer.
Office documents
Read sales.xlsx, analyze regional, product, and time trends, then generate report.pptx with conclusions.
Output: analysis conclusions + an editable PPT fileSoftware development
Search auth-related code, inspect the call chain, edit the affected files, present the Diff, and run tests to verify the fix.
Output: code changes + diagnostic and test resultsHybrid tasks
Find and retrieve official documentation while updating the repository README, technical-design Word document, and sample code.
Output: source summary + documents + codeProject status
Covering Agent orchestration, Office/PDF, code tools, PathGuard, Memory, MCP, and representative user scenarios.