Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
395 skills found
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Analyze and debug fast-agent session histories, tool execution logs, and conversation timing to resolve performance bottlenecks, tool loops, and unexpected session terminations.
Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.
Extract tacit engineering knowledge through guided interviews and generate structured steerings for consistent project standards and conventions.
Privacy-preserving transactions on Base using Veil Cash. Deposit into shielded pools, perform ZK-based withdrawals/transfers, and manage private balances. Supports ETH/USDC via local ZK proofs and Bankr-signed deposits.
A terminal-based Chrome DevTools Protocol client designed for AI agents. Provides direct, session-persistent control over browser navigation, DOM manipulation, scraping, and network inspection.
Gracefully pause or close sessions: harvest context, archive work, verify features, and settle AtlasCoin bounties. Use when finishing for the day or wrapping up tasks.
MPC-based multi-chain wallet SDK and CLI for AI agents and developers. Perform secure, threshold-signed crypto operations (send, swap, sign) across 40+ blockchains without seed phrases.
Apply the Six Thinking Hats methodology to software testing for structured, comprehensive quality analysis, test strategy design, and team discussions.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows within the Ruflo/Claude Flow ecosystem.
Production-ready reinforcement learning using Stable Baselines3. Train agents, design custom environments, implement training callbacks, and optimize workflows with a scikit-learn-style API.
Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.