发现collaboration tools类别的 Claude 技能。浏览 30 个技能,找到适合您 AI 工作流程的完美功能。
Facilitates advanced AI-assisted pair programming sessions with real-time role switching, quality verification, and automated testing integration.
Automates comprehensive GitHub pull request reviews using specialized AI swarms to analyze security, performance, and architectural integrity.
Orchestrates sophisticated multi-agent swarms using queen-led architectures and persistent collective memory systems.
Provides a lock-free, self-learning version control system designed for seamless multi-agent AI coordination and quantum-resistant security.
Sends Slack messages and direct messages directly from the Claude Code terminal using your authenticated browser session.
Builds specialized Model Context Protocol (MCP) servers to enable AI agents to interact with Slack APIs and manage canvases.
Performs rigorous, multi-agent code reviews filtering for high-confidence issues to eliminate developer noise and false positives.
Standardizes and generates professional internal communications using company-specific templates and reporting formats.
Generates and optimizes custom animated GIFs and emojis tailored specifically for Slack's technical requirements and display standards.
Manages Linear issues, projects, and team workflows directly within the Claude Code environment using natural language.
Manages GitHub issues, bug reports, and feature requests directly within the Claude Code terminal environment.
Synchronizes implementation workflows with Linear issues through automated claiming, validation, and closure documentation.
Delegates complex development tasks and automation jobs directly to GitHub Copilot agents via the GitHub CLI.
Retrieves active pull request review comments via the GitHub GraphQL API while filtering out resolved and outdated feedback.
Adds targeted single and multi-line review comments to GitHub pull requests with support for integrated code suggestions.
Fetches and formats GitHub pull request diffs with line numbers and noise filtering for efficient code reviews.
Synchronizes project status and facilitates seamless developer handoffs through automated documentation and decision logging.
Conducts automated code reviews, bug investigations, and deep codebase analysis using the OpenAI Codex CLI.
Facilitates high-precision technical code reviews by enforcing objective feedback loops and professional implementation patterns.
Facilitates Socratic-style collaborative sessions to transform raw ideas into comprehensive technical specifications and architectural designs.
Orchestrates a multi-agent automated code review to validate architectural integrity, domain logic health, and test coverage on git branches.
Reviews source code systematically for best practices, security vulnerabilities, and performance optimizations.
Automates the GitHub pull request lifecycle by enforcing CI passing status and Bugbot review approvals.
Enhances code reviews with systematic analysis frameworks, constructive feedback patterns, and language-specific best practices to improve software quality.
Streamlines the process of contributing custom Claude Code skills to upstream repositories using standardized Git and GitHub CLI workflows.
Implements a rigorous, verification-first approach to handling code review feedback by prioritizing technical correctness over performative agreement.
Dispatches a specialized code-reviewer subagent to validate implementations against requirements and identify bugs before merging.
Conducts comprehensive code reviews focused on quality, security, and performance using industry-standard best practices.
Processes code review feedback with technical rigor and verification instead of performative agreement.
Dispatches a specialized code-reviewer subagent to identify implementation issues and verify requirements before code is merged.
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