Agent Skills Hub

fx-sdk-agent

TypeScript SDK agent for FX Protocol: manage leveraged positions, perform cross-chain bridges between Base and Ethereum, and interact with fxSAVE yield-bearing stablecoin features.

upstash-ratelimit-ts

A connectionless, HTTP-based rate limiting SDK for TypeScript, ideal for serverless, edge functions, and distributed environments using Upstash Redis.

resume

Resume a paused experimental loop by restoring branch context, loading configuration, reading history, and identifying optimization patterns for continued iteration.

sast-configuration

Automate SAST configuration and security scanning. Supports Semgrep, SonarQube, and CodeQL for DevSecOps, quality gate management, and vulnerability detection.

time

Utilities for retrieving current time across timezones and performing accurate time conversion and scheduling operations.

context-management

Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.

Advanced Modular Library Design

Design modular TypeScript libraries using HexDI principles: compile-time dependency validation, feature-first organization, and clean API boundaries.

ctx-planning

Generate daily and weekly planning reports from backlog and carryover state, applying WIP limits and priority rules from BaseContext.yaml with automatic git commit/push.

simplemem-skill

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

gh-local

Run GitHub Actions CI workflows locally using nektos/act in Docker. Test your CI configurations, debug workflow failures, and validate pipeline changes without pushing code to GitHub.

agent-canvas

Orchestrate visual communication by drawing diagrams, flowcharts, and annotations on a TLDraw canvas via CLI. Ideal for architectural planning, PR reviews, and logging agent output.

find-skills-combo

Discover and recommend combinations of agent skills to complete complex, multi-faceted tasks using Maximum Quality or Minimum Dependencies strategies.