Discover Agent Skills for collaboration tools. Browse 30 skills for Claude, ChatGPT & Codex.
Manages code review feedback with technical rigor by prioritizing verification and objective reasoning over performative agreement.
Facilitates structured code reviews by dispatching a specialized subagent to analyze git diffs and catch issues before they reach production.
Standardizes AI communication using certainty tags and source citations to eliminate hallucinations and improve decision-making accuracy.
Standardizes the creation of high-quality user stories, technical specifications, and issue reports using industry-best practices.
Automates the code quality process by dispatching a specialized subagent to review implementations against requirements before merging.
Automates the creation of standardized GitHub configuration files, templates, and labeling workflows for repositories.
Streamlines project management by creating structured GitHub Issues with automated task breakdowns and branch initialization.
Displays and prioritizes GitHub Pull Requests with real-time review status and branch information.
Retrieves unresolved review threads and code-block comments from GitHub Pull Requests via GraphQL API.
Automates the process of marking Slack channels as read, either individually or in bulk, to maintain a clean workspace.
Empowers product leaders to drive vision, align teams through automated OKR cascading, and optimize organizational design.
Automates the creation and updating of GitHub Pull Requests with automated branch analysis and Conventional Commits formatting.
Streamlines the process of addressing GitHub Pull Request feedback by fetching comments, applying code fixes, and automating reviewer replies.
Automates threaded replies to Slack mentions directly from the terminal using secure user authentication.
Automates post-sprint retrospectives by auditing process compliance and analyzing code quality with specialized agents.
Automates the entire software delivery pipeline from code verification and parallel reviews to pull request creation.
Proactively suggests alternative LLM perspectives for complex architectural decisions, security reviews, and technical trade-offs.
Automates deep code reviews to identify security vulnerabilities, logical bugs, and style inconsistencies within local changes.
Reviews GitHub Pull Requests and provides structured feedback, approvals, or change requests directly from the terminal.
Facilitates the creation and maintenance of standardized product vision documentation to align development teams with strategic goals.
Guides developers through requirement analysis, codebase exploration, and architectural design to create comprehensive implementation plans.
Generates comprehensive, structured technical specifications and architectural designs integrated with the Wrangler issue management system.
Manages and prioritizes project backlogs directly within documentation using a structured markdown format.
Synchronizes implementation progress with technical requirements using hierarchical FR codes and automated status reporting.
Implements structured inline comments for asynchronous coordination and work tracking between multiple AI agents.
Facilitates multi-dimensional engineering deliberations and collective decision-making using a council of specialized AI persona agents.
Performs iterative, multi-agent code reviews to identify and automatically fix critical bugs and security vulnerabilities before PR submission.
Orchestrates complex multi-agent workflows using standardized sequential, parallel, and iterative coordination protocols.
Generates structured, production-ready product feature specifications using tiered templates and rigorous PM standards.
Integrates RepoPrompt’s multi-agent planning framework into Claude Code via a powerful proxy CLI.
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