Agent Skills Hub

skill-vetter

Security-first vetting protocol for AI agent skills. Detects red flags like credential theft, obfuscated code, and unauthorized data exfiltration before installation.

verification-before-completion

Enforces a strict evidence-before-assertion protocol for coding agents, requiring fresh command-line verification output before any claim of completion, success, or bug fixes.

google-ads

Google Ads integration for managing campaigns, accounts, budgets, and reporting via Membrane CLI. Streamline your advertising workflow with automated authentication and cross-resource management.

mcp-research

Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.

social-push

Automate social media content publishing using agent-browser to draft posts on platforms like Xiaohongshu, X, Weibo, WeChat, and Juejin directly from your browser.

code-documentation

Standardize code documentation: automate READMEs, API references, JSDoc/TSDoc, and Architecture Decision Records (ADRs) to maintain clean, professional technical guides.

x-publish

Automate drafting tweets and threads on X (Twitter) using browser automation. Ensures content is saved to drafts for manual review.

alphaear-deepear-lite

Fetch real-time financial signals, transmission-chain reasoning, and market confidence metrics directly from the DeepEar Lite platform.

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.

git.pr.create

Automate pull request creation for Carbon ACX with comprehensive summaries, structured test plans, and standardized formatting using the GitHub CLI.

migrate-to-vinext

Automated migration tool for converting Next.js projects to vinext (Vite-based Next.js reimplementation), including compatibility scanning, dependency replacement, and configuration setup.

context-compression

Optimize agent performance and token usage through advanced context compression, structured summarization, and task-oriented state management for long-running sessions.