Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
527 skills found
Identify and document Customer Problems (CP) from business context. Use when starting requirements engineering or when stakeholders describe solutions instead of problems. Step 1 of Problem-Based SRS methodology.
Deploy serverless browser automation as cloud functions using Browserbase. Perfect for cron jobs, webhook endpoints, and scalable cloud-based automation tasks.
Automate GitLab repository management with this API-based tool. Perform file operations, branch management, and project tracking directly through your AI agent.
Standardize your internal communications using company-specific guidelines and templates for reports, newsletters, and project updates.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
A framework for creating, iterating, and managing reusable evolving workflows that combine structured documentation with custom Python automation tools.
React and Vite performance optimization guidelines. Use when writing, reviewing, or optimizing React components built with Vite.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
An expert-level CTF solver agent that automates reconnaissance, vulnerability analysis, and exploit generation for web, pwn, crypto, reverse, and forensic challenges.
Implement consumer-driven contract testing for microservices using Pact, schema validation, and API versioning to prevent breaking changes and ensure distributed team coordination.
Manage git worktrees for parallel development, including creation, listing, and deletion with automated port and environment isolation.
Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).