AI Agent Skills

An out-of-box human parsing representation extractor.

Enhances Tesseract OCR output using LLMs (local or API) for error correction, smart chunking, and markdown formatting of scanned PDFs

Design automation software tools for Topological Quantum Error Correction

Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agen…

Use Nara/PNU Korean spell-check surfaces conservatively to proofread Korean text, chunk long input, and return change-focused correction suggestions.

Append a learning entry to AGENTS_LEARNING.md when an AI agent makes a mistake. Auto-activates after a pre-write audit auto-fix, a retrospective correction loop, or a mi…

Comprehensive best practices for robot perception systems covering cameras, LiDARs, depth sensors, IMUs, and multi-sensor setups. Use this skill when working with RGB im…

Record a learned design constraint from a correction into the project brief. Invoke when the user asks for remember on their UI, or mentions 'remember' alongside design…

Reduce negative-constraint and session-history leakage when a discarded proposal or user correction is echoed into final artifacts as a ‘without X’ label, rejected-optio…