Explore our collection of Agent Skills to enhance your AI workflow.
Orients new team members to their technical environment by analyzing Jira projects, GitHub repositories, and Confluence documentation.
Automates the transition of Jira issues to Done and synchronizes local Git environments after a GitHub pull request is merged.
Analyzes existing codebases to generate structured architecture documentation, architectural decision records, and component-specific rules.
Conducts comprehensive GitLab merge request reviews and manages the full MR lifecycle directly from the command line.
Automates WhatsApp Business communication and customer engagement workflows using the Wati API through Rube MCP.
Records and manages technology stack choices by syncing project requirements and team conventions with Google Drive.
Generates multi-sprint product roadmaps in Google Drive by organizing PRD requirements into sequenced, dependency-aware execution plans.
Facilitates live requirements sessions using interactive visualizations and automated PRD generation to ensure stakeholder alignment.
Retrieves and searches stored research data and survey results from Supabase databases to facilitate knowledge reuse.
Analyzes GitHub Actions workflow failures to provide actionable explanations and track persistent CI issues in Jira.
Generates structured, multi-sprint product roadmaps in Confluence to bridge the gap between product requirements and sprint planning.
Automates Capsule CRM workflows including contact management, sales pipelines, and task tracking through Rube MCP.
Automates the process of identifying, addressing, and resolving reviewer feedback on GitLab Merge Requests directly from the terminal.
Automates the setup of project metadata, CI/CD pipelines, and domain-specific rules for seamless Claude Code and GitLab integration.
Generates structured, context-aware sections for academic papers and technical documentation.
Generates structured, multi-sprint product roadmaps in Google Drive to bridge the gap between requirements and execution.
Builds a persistent self-learning loop by extracting recurring user preferences and workspace facts from chat transcripts.
Documents and organizes cross-project team standards and software development conventions directly in Google Drive.
Records project technology stacks and key architectural decisions directly into Confluence for team alignment.
Generates comprehensive, well-structured Jira issues by integrating technical context from Confluence and following standardized project templates.
Synchronizes Playwright automation tests with TestRail test management for seamless bidirectional reporting and test case generation.
Generates and executes RSpec tests for Ruby projects with support for advanced bindings, hooks, and mocking.
Generates and logs structured summaries of Claude Code sessions to track progress, key decisions, and pending tasks.
Facilitates rigorous experimental design and ensures data reproducibility by integrating academic research tools into AI workflows.
Automates IP and DNS intelligence gathering using the SecurityTrails API via Rube MCP for comprehensive security reconnaissance.
Teaches the TeamCraft plugin workflow, role-specific responsibilities, and core skills through an interactive guided conversation.
Orchestrates end-to-end QA browser testing workflows using Gherkin specifications and parallel Playwright execution.
Automates and tests local web applications using Playwright with integrated server lifecycle management.
Converts ad scripts into detailed, production-ready storyboards with precise timing and specialized AI generation prompts.
Fetches GitLab issues to perform deep technical analysis and feasibility assessments before starting a development cycle.
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