implementation
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
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249 skills found
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Debugs deterministic Sui simtest failures using automated logging and the scientific method.
Universal CLI tool to convert and synchronize AI agent skills between Claude Code and Gemini CLI extensions.
Intelligent GitHub release orchestration using AI swarms for automated versioning, multi-platform deployment, testing, and rollback management.
Mandatory execution-based validation for all software implementation tasks. Ensures code works through empirical verification before confirmation.
Provides targeted, concise English language editing and stylistic improvements for text without performing full rewrites.
An intelligent development orchestration skill that provides self-improving code analysis, build error diagnosis, and automated workflow configuration via mcp-prompts integration.
Generate triage reports and analyze feature area health for the Windows App SDK repository. Identify high-priority issues, triage backlogs, and team focus areas.
Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.
Search and retrieve AI-generated documentation, architecture guides, and API references for 300+ popular GitHub repositories using DeepWiki and MCP.
Automates the release workflow for Worktrunk, including version bumping, CHANGELOG generation, contributor crediting, and publishing to crates.io and GitHub.
Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.