Agent Skills Hub

kill-claude-mem

Kills stale claude-mem worker and MCP server processes to recover RAM and improve performance in memory-constrained environments like GitHub Codespaces.

plumb

Keep your technical specifications, test suites, and source code perfectly synchronized during AI-assisted development.

creating-opencode-agents

Expert guidance and configuration standards for creating specialized OpenCode AI agents, including YAML frontmatter, tool permissions, and operational modes.

research-pipeline

End-to-end autonomous research agent: from idea generation and literature review to experiment execution, adversarial review loops, and paper writing.

skill-code-review

Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.

rbac-permissions-architect

Architect features within the RBAC modular permissions system. Guides workspace design, permission mapping, CASL integration, and role hierarchy for secure, multi-tenant software.

code-review-expert

Expert code review agent that performs systematic audits of git changes for SOLID violations, security vulnerabilities, performance regressions, and architectural smells.

excel-report-generator

Automate Excel report generation from CSVs, databases, or data structures using pandas and openpyxl. Supports chart creation, custom styling, template-based workflows, and data analysis.

huginn-onboard

Bridge assets from EVM chains to Starknet, deploy agent accounts, and register identities with the HuginnRegistry for autonomous AI agent onboarding.

format

Verify code style and formatting using Prettier and Stylelint without applying changes. Ensures consistent codebases by identifying issues in JS/TS/CSS/SCSS files.

frontend-design

Build distinctive, production-grade frontend interfaces and web components with high aesthetic quality, avoiding generic AI design patterns.

markdown-token-optimizer

Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.