Agent Skills Hub

django-celery-expert

Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.

pix

An autonomous UI implementation agent that converts Figma designs into pixel-perfect code using Figma MCP and browser-based refinement.

networkx

Comprehensive toolkit for graph creation, network analysis, and visualization in Python. Ideal for analyzing relationships, centrality, community detection, and synthetic network generation across diverse research domains.

clawdhub

Manage agent skills with the ClawdHub CLI: search, install, update, and publish skills directly from clawdhub.com for your local AI assistant.

rdkit

Cheminformatics toolkit for molecular analysis and design. Perform SMILES/SDF parsing, descriptor calculation (LogP, TPSA), fingerprinting, substructure searching, and chemical reaction modeling using RDKit.

iterate

Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.

self-improve

Self-maintaining skill for OpenCode agents to update documentation, capture learnings, and extend tool/agent capabilities dynamically.

supermemory

Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.

Project Context Analyzer

Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.

structuring-plugins

Guides the creation and organization of Claude Code plugins, including directory scaffolding, manifest setup, component management (commands, agents, skills, hooks), and auto-discovery configuration.

code-search-selector

Intelligent tool selector for code search. Routes queries between semantic (claudemem) and native tools (Grep/Glob) to optimize efficiency, token usage, and search accuracy.

strategic-compact

Enhance workflow efficiency by performing manual context compaction at logical task boundaries instead of relying on unpredictable auto-compaction.