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AsutoshPaluri/asutoshpaluri-claude-code

My personal Claude Code architecture — Skills, sub-agents, hooks, settings, MCP servers. Anchored on factforge.

Python MIT GitHub ↗
★ 0
stars
75
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

This repo is a compact Claude Code architecture—custom Skills, sub-agents, hooks, settings and a small MCP server—extracted from real production work on factforge. It’s for engineers who build or ship production AI agents and want reproducible, low-cost workflows and guardrails. Key features: - settings.json: allow/deny command lists and Pre/PostTool hooks (auto‑format, pre-deploy banners). - Skills: LLM eval harness, Modal GPU deploy troubleshooting, LoRA fine-tune recipe, entity-normalization (frozen encoder + contrastive head + FAISS), Databricks notebook helper. - Agents: specs for data-engineer, ml-ops, biomedical-NLP architects. - MCP server: parquet-explorer exposing Parquet/CSV via embedded DuckDB with path containment, read-only SQL, and a 100-row output cap. - Example Claude settings for registering skills, agents, and servers.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🤝 Agent frameworks (1)
MCP
🤖 LLM models (1)
Claude
💾 Databases (2)
Databricks DuckDB
🌐 Web frameworks (1)
Rails

Language breakdown (by bytes)

Python
100%

Owner

Account
AsutoshPaluri
Type
User
Followers
0

Dates

Created on GitHub 2026-05-18
Last push 2026-05-18
First seen here 2026-05-18
Last fetched 2026-05-18 16:10

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