ai-collaboration-standards
Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
134 skills found
Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.
Manage Jira issues via Atlassian MCP. Search, create, update, transition status, and handle sprint tasks with auto-detected workspace configuration.
Create well-structured user stories with clear acceptance criteria using the standard As a/I want/So that framework for agile team alignment.
Development CLI for the Multigres project: automate unit tests, integration tests, and environment coordination for Vitess-for-Postgres.
Create structured, orchestrator-ready project plans with atomic tasks, sprint structures, and validation criteria for multi-task engineering projects.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.
Guided, systematic feature development agent that orchestrates codebase exploration, architectural design, implementation, and automated testing.
Production-ready Scrum Master assistant for sprint management, capacity planning, and real-time team analytics.
Full-stack application orchestrator that analyzes natural language requests to determine tech stacks, scaffold projects, and coordinate specialized development agents.
Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.
Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.