spider7811/openshrimp
Manage and automate research tasks using a persistent LangGraph agent with PostgreSQL state and a Telegram interface for instant access.
Manage and automate research tasks using a persistent LangGraph agent with PostgreSQL state and a Telegram interface for instant access.
npx skills add spider7811/openshrimpManage and automate research tasks using a persistent LangGraph agent with PostgreSQL state and a Telegram interface for instant access.
Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, score chasing, or broad research assistance outside repository-grounded reproduction.
Claude Code skill for benchmark research. Survey papers to find datasets, metrics, and evaluation protocols used in a research direction.
RSA attack playbook for CTF and real-world cryptanalysis. Use when given RSA parameters (n, e, c) and need to recover plaintext by exploiting weak keys, small exponents, shared factors, or padding oracles.
Plan MTB, road, e-bike, and gravel routes with MCP trail data, hazard prediction, and gear setup advice
Code knowledge graph for AI coding agents. Point it at a GitHub repo, get a queryable graph of every function, class, and dependency — so your agent stops burning context (and tokens) reading whole files. Tree-sitter + symbol index, incremental builds. Self-hosted. Python/Java/JS.
Master the AI Engineer Stack: A professional-grade roadmap for Agentic Generative AI. Features Python, LangGraph, Multi-Agent workflows, Scalable RAG, Semantic Memory, and MCP integrations using LLMs from Hugging Face and OpenAI.