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。
Generates and posts context-aware ClickUp task updates directly from your terminal using git branch data and commit history.
Automates the lifecycle of technical specifications through multi-agent review and iterative refinement.
Generates structured, size-adjusted Pull Request descriptions in Markdown based on your specific code changes.
Streamlines pull request workflows by focusing AI reviews exclusively on incremental changes and verifying previous fixes.
Orchestrates Kanban state machine transitions and task management using provider abstractions.
Standardizes technical evaluation of code review feedback by prioritizing verification and technical rigor over performative agreement.
Applies technical rigor and verification to code review feedback while eliminating performative social interactions.
Queries and searches GitHub issues to troubleshoot errors, discover workarounds, and track project status directly within Claude.
Standardizes pull request reviews by providing a structured checklist to ensure code quality, security, and performance.
Conducts automated pull request analysis and security scanning to ensure high-quality, production-grade code across multiple programming languages.
Deletes Slack messages directly through Claude Code using either user or bot tokens with built-in safety confirmations.
Performs rigorous, system-level code reviews using a Staff Software Engineer mindset to ensure architectural alignment and code quality.
Simplifies team environment setup by automatically configuring Feishu Project MCP servers for both Claude Code and Cursor.
Automates the creation, validation, and Slack distribution of custom Claude skills to streamline team collaboration and discovery.
Automates the code review process by dispatching specialized subagents to verify implementation requirements and catch issues before merging.
Transforms raw project ideas into structured technical design specifications through collaborative dialogue and iterative validation.
Processes code review feedback with technical rigor, prioritizing codebase verification over performative agreement.
Enforces a technical verification protocol for processing code review feedback without performative agreement or blind implementation.
Implements a distributed evolutionary memory system using Merkle-DAG timelines and holographic encoding for multi-agent consensus.
Validates Claude's technical recommendations and code reviews through a secondary AI perspective using the Google Gemini CLI.
Generates comprehensive Product Requirements Documents (PRDs) including user stories, acceptance criteria, and project scoping.
Enforces a rigorous, verification-first framework for processing code review feedback without performative agreement or blind implementation.
Connects Claude Code to Jira Cloud for seamless issue tracking, sprint management, and Agile project workflows.
Automates the process of dispatching a specialized subagent to perform comprehensive code reviews during development.
Acts as the ultimate code review authority to validate implementation against architectural specifications and ensure main branch integrity.
Transforms pull request feedback into structured training data to continuously improve AI coding performance and code quality.
Automates customer interaction processing, health tracking, and task routing to optimize relationship management.
Retrieves unresolved review comments from GitHub Pull Requests on the current branch to streamline the code revision process.
Manages Atlassian Jira projects, issues, and sprints using the official command-line interface for streamlined project tracking.
Facilitates high-quality code reviews by dispatching specialized AI subagents to analyze changes and catch technical issues before they reach production.
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