Agent Skills Hub

springboot-security

Spring Security best practices for Spring Boot: Auth, validation, CSRF protection, secret management, rate limiting, and dependency security.

gff-structure

Bioinformatics reference for Atlantic salmon GFF3 file structure, covering Ensembl and NCBI annotations on Ssal_v3.1 assembly for parsing and processing tasks.

getting-started-guide

A structured guide for novelists to navigate the seven-step writing process, from constitution and specification to planning, tasking, drafting, and quality analysis.

dumbwaiter-mcp

Provider-agnostic MCP skill for wait-for-change automation on PR events like status checks, merges, and comments.

mcp-rails

Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.

flowgram.ai

Development guide for creating custom nodes in FlowGram.ai workflows, supporting both auto-generated simple forms and complex custom UI components.

skill-name

Comprehensive SEO and GEO optimization suite. Use to analyze domains, find keyword gaps, research backlinks, and generate autocomplete search suggestions using DataForSEO.

Linear Todo Sync

Fetches assigned Linear tasks via GraphQL and generates a project-specific markdown todo list. Helps users track work items, sync priorities, and plan daily development tasks.

trigger-dev-tasks

Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.

cc-skill-project-guidelines-example

A template skill for creating project-specific AI agent guidelines, defining architecture, file structures, and code patterns for deterministic development.

ctf-solver

An expert-level CTF solver agent that automates reconnaissance, vulnerability analysis, and exploit generation for web, pwn, crypto, reverse, and forensic challenges.

simplemem-skill

Persistent, semantic long-term memory for AI agents. Save, query, and retrieve cross-session dialogues, decisions, and multimodal context using semantic compression.