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。
Streamlines the creation of Jira bug reports for the OCPBUGS project with specific OpenShift conventions and field requirements.
Fetches comprehensive, raw JIRA bug data and metadata for specific projects using the REST API.
Automates Jira issue creation for the OpenShift Control Planes project with standardized field mapping and version normalization.
Automates the creation of structured bug fix release notes by analyzing Jira tickets and linked GitHub pull requests.
Streamlines the creation of structured technical and operational Jira tasks within Claude Code using standardized templates.
Standardizes the creation of structured Jira epics with automated field validation and best-practice templates.
Manages cross-functional approvals, communication plans, and accountability frameworks for feedback-driven GTM initiatives.
Generates agile-compliant Jira user stories with structured acceptance criteria and optimized field formatting.
Automates a multi-agent design review process immediately following the creation of design documents to ensure technical and product readiness.
Creates Azure DevOps tasks as children of User Stories with AI-powered title generation and automated estimation.
Standardizes a rigorous, technical-first approach to processing and implementing code review feedback without performative agreement.
Automates the code review process by dispatching specialized subagents to verify implementations against requirements before merging.
Generates comprehensive GitHub issues with embedded TDD plans and autonomous agent instructions for full pull request lifecycle management.
Integrates Quo business phone systems into Claude Code to manage calls, SMS, contacts, and AI-powered transcripts.
Automates the creation of structured GitHub pull requests with standardized descriptions and test notes using the GitHub CLI.
Automates Jira issue creation for HyperShift teams with smart component detection and standardized version defaults.
Streamlines the creation of high-quality Jira Requests for Enhancement (RFEs) with standardized business justification and technical mapping.
Identifies the best code reviewers by analyzing git blame data for specific line changes and filtering out bot accounts.
Streamlines the creation of high-quality Jira bug reports by guiding users through standardized templates and interactive workflows.
Recursively discovers Jira issues and extracts all associated GitHub Pull Request links for comprehensive tracking and documentation.
Deploys specialized senior developer personas to provide opinionated guidance on architecture, language-specific coding, and rigorous code reviews.
Orchestrates multiple Claude Code instances as a synchronized team with direct inter-agent messaging and shared task management.
Automates the systematic discovery, resolution, and response to pull request feedback from AI bots and human reviewers.
Standardizes code reviews with structured processes, conventional comments, and quality-focused checklists.
Automates the creation of standardized GitHub pull requests with integrated validation and AI-generated summaries.
Conducts comprehensive pull request reviews using a swarm of specialized AI agents to ensure code quality, security, and architectural integrity.
Streamlines the resolution of GitHub Pull Request review comments through automated fetching, severity-based prioritization, and threaded responses.
Automates the creation of high-quality GitHub Pull Requests with task validation, test execution, and Conventional Commits formatting.
Automates the GitHub Pull Request merge process by validating tests, linting, CI status, and review comment resolution.
Executes complex implementation plans in controlled batches with integrated human review checkpoints for architectural consistency.
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