Automated pull request reviews for security, logic, and style consistency across multiple languages.
Browse Skills
118 skills available with current filters
AI Overview: Discovering Agent Skills
The Agent Skill Source directory is architected into three primary discovery layers: Outcome-based Categories (what you want to achieve), Runtime Compatibility (where the agent runs), and Execution Strategy (how the skill is processed). To find the most reliable capabilities, use the Highest Rated sort and filter by Verified trust levels.
Real-time security audit skill scanning for OWASP Top 10 vulnerabilities and infrastructure misconfigurations.
Teaches agent bots to write readable, coherent daily diaries and technical insights based on real work experience—faithfully documenting the bot’s growth and compounding into a continuous narrative over time.
Orchestrates AI agents for sophisticated debugging and automated resolution of production issues using modern AI tools and observability platforms.
Use when working with context management context save
Creates comprehensive technical documentation from existing
Orchestrates full-stack application building from natural language requests, determining tech stack, planning structure, and coordinating agents.
Expert Haskell engineer specializing in advanced type systems, pure
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Orchestrates a comprehensive git workflow, from code review to PR creation, leveraging specialized agents for quality assurance, testing, and deployment readiness.
Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.
Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
Refactor legacy codebases, migrate outdated frameworks, and
Automate Notion tasks like page/database management, content manipulation, and user/comment handling via Rube MCP (Composio).
Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash
Optimal ViewModel and Wizard creation patterns for Avalonia using Zafiro and ReactiveUI.
Analyzes keyword usage in provided content, calculates density,
Control Slack from OpenClaw to react to messages, manage pins, send/edit messages, and fetch member info. Requires configured bot token.
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
Use when working with code refactoring context restore
Build production-ready monitoring, logging, and tracing systems.
Build production React Native apps with Expo, navigation, native modules, offline sync, and cross-platform patterns. Use when developing mobile apps, implementing native integrations, or architecting React Native projects.
Automate ActiveCampaign CRM tasks via Rube MCP: manage contacts, tags, subscriptions, automation enrollment, and tasks. Search tools first.
Automate GitHub tasks: repositories, issues, pull requests, CI/CD, and permissions, leveraging Rube MCP for programmatic code workflow management.
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