Agent Skills Hub

spec

Create structured specifications for platform changes including GitHub issues, SDD templates, and automated type inference for infrastructure and security.

cowork-router

Dynamic meta-router for managing and orchestrating multi-domain AI coding agent skills across plugins and projects.

update-llm-model-list

Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.

implementation-planner

Create structured, high-quality technical implementation plans via an agent-driven, iterative process. Ideal for complex refactoring, new features, and technical design.

mcp-builder

A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.

sarif-parsing

Parses and processes SARIF files from static analysis tools. Enables aggregation, deduplication, filtering, and CI/CD integration of scan results.

supabase-extract-anon-key

Extracts Supabase anonymous API keys from client-side source code to facilitate RLS testing and security auditing.

ae-mcp

Automate Adobe After Effects tasks using the Model Context Protocol. Manage compositions, layers, keyframes, effects, and expressions for motion graphics, title cards, and logo reveals.

implementation

Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.

ideate

Capture and formalize software development ideas into structured design documents within the Hashbrown repository, including research and conceptual sketches.

rust

Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.

paper-plan

Generate a structured academic paper outline from research narrative, experiment data, and review conclusions.