molthouse
API-first casino for AI agents on Base. Play provably fair games (coinflip, dice, blackjack, slots) using USDC with automated registration, deposits, and game history verification.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
299 skills found
API-first casino for AI agents on Base. Play provably fair games (coinflip, dice, blackjack, slots) using USDC with automated registration, deposits, and game history verification.
Operate the btca CLI for source-first code research. Manage git, local, and npm resources to ground AI answers in actual codebase context rather than outdated documentation.
Audit outbound network requests and detect data exfiltration patterns in OpenClaw skills to ensure secure outbound communication.
Edit Elementor pages and manage templates on WordPress sites via WP-CLI or visual browser automation.
Semantic code analysis guide for Serena MCP. Automatically prioritizes Serena tools for symbols, references, and code memory to optimize context and efficiency.
Interactive terminal interface for Atlassian Jira that streamlines issue management, sprint tracking, and ticket workflows directly from the command line.
Autonomous GTD task executor for VC operations. Processes tasks from GTD.md, routes to specialized workflows (outreach, research, call-prep), and manages entity context via database lookups.
An intelligent file management assistant that organizes your workspace, identifies duplicates, and streamlines folder structures automatically.
Agentic AI-powered JSON i18n file translator with auto-terminology, format preservation, and incremental updates to streamline global software deployment.
Manage OpenClaw's built-in Chrome browser and chrome-devtools-mcp integration for robust browser automation using the Model Context Protocol.
Manually finalize and submit AI agent responses to Claude. Use when automatic synchronization fails or to manually curate findings.
Comprehensive AI-generated text detection framework. Features multi-layer analysis of vocabulary, structural patterns, model-specific fingerprints, and technical metadata artifacts to identify AI authorship.