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Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
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283 skills found
Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
Build and execute state-machine based automations with human-in-the-loop support for complex, multi-step business processes.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.
Standardizes HASH development workflows, including branch naming, Linear issue linking, PR templates, and review procedures.
Automates Moonwell protocol governance proposal lifecycle, from creation and verification to deployment and testing.
Synthesizes multi-agent research findings into coherent, citation-backed reports, resolving contradictions and identifying consensus.
A command-line interface for X/Twitter that allows for reading, searching, posting, and social engagement using cookie-based authentication, integrated into the OpenWhale AI agent ecosystem.
Advanced Gemini-powered web search plugin with smart caching, subagent context isolation, and automated query optimization.
Analyze source code for security vulnerabilities based on OWASP Top 10 guidelines and suggest remediation strategies.
Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Perform network protocol reverse engineering, including packet capture, traffic analysis, protocol dissection, and custom format documentation.