Discover Agent Skills for collaboration tools. Browse 30 skills for Claude, ChatGPT & Codex.
Guides engineering leaders through technical strategy, team scaling, and architecture governance using data-driven frameworks.
Manages task ownership and progress tracking within LLM sessions to streamline multi-agent coordination.
Orchestrates subagents to automatically resolve code review findings through sequential, task-based remediation.
Automates multi-pass code reviews and iterative fixes to ensure production-grade code quality before merging.
Organizes product development through a structured hierarchy of strategic themes, tactical epics, and operational user stories.
Automates the decomposition of project specifications into actionable GitHub issues using AI-driven analysis.
Automates bidirectional linking between Jira issues and GitHub pull requests while managing statuses and sprint assignments.
Applies the Tit for Tat game theory strategy to optimize outcomes in negotiations, partnerships, and workplace interactions.
Configures and optimizes GitHub repositories with branch protection, CODEOWNERS, and automated dependency management.
Streamlines the TYPO3 Core contribution workflow from environment setup to Gerrit patch submission.
Integrates Jira project management directly into your AI development workflow through automated issue tracking, status updates, and work logging.
Generates comprehensive, reviewer-friendly pull request descriptions by analyzing git diffs and commit history.
Orchestrates complex multi-agent workflows using a hierarchical queen-led architecture and robust consensus mechanisms for collective decision-making.
Orchestrates specialized AI agent swarms to perform comprehensive, multi-domain code reviews directly within GitHub pull requests.
Orchestrates complex multi-agent swarms using advanced topologies for distributed research, development, and testing workflows.
Addresses and resolves GitLab Merge Request review comments and discussion threads using the glab CLI.
Streamlines GitHub workflows through automated issue triage, swarm-coordinated task decomposition, and intelligent project board synchronization.
Provides quantum-resistant, self-learning version control optimized for multi-agent coordination and conflict-free concurrent development.
Streamlines Feishu (Lark) bot creation with support for no-code automation, full-scale API integration, and AI-driven MCP server capabilities.
Facilitates collaborative AI-assisted development through automated role management, real-time code verification, and multi-mode pair programming workflows.
Manage Linear issues, projects, and team workflows directly through natural language commands in Claude.
Captures and documents UI changes with before-and-after screenshots to streamline visual reviews in pull requests.
Standardizes communication, knowledge sharing, and feedback loops between specialized AI agent groups in a four-tier architecture.
Guides the design and execution of productive group sessions using structured frameworks for brainstorming, decision-making, and team alignment.
Facilitates organizational restructuring, stakeholder analysis, and team interface definition using frameworks like Team Topologies and Conway's Law.
Reviews source code to identify architectural issues, security vulnerabilities, and adherence to best practices.
Audits code changes to ensure strict adherence to project-specific instructions and coding standards defined in CLAUDE.md.
Audits source code to identify over-engineering, premature optimization, and unnecessary cognitive complexity.
Automates the generation of detailed GitHub pull request descriptions and visual diagrams using Serena and Context7 MCPs.
Facilitates end-to-end project planning, risk mitigation, and delivery tracking using Agile, Waterfall, and Hybrid methodologies.
Scroll for more results...