debugging
Standardized debugging and diagnostic guidelines for AI coding agents.
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216 skills found
Standardized debugging and diagnostic guidelines for AI coding agents.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Automates finalization validation for project workflows by enforcing git compliance, documentation standards, and deployment readiness.
Linter-driven refactoring agent that resolves complexity issues like cyclomatic depth, primitive obsession, and long functions using automated pattern extraction.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.
Deep requirement analysis and documentation skill. Uncover root needs, map stakeholders, resolve conflicts, and define testable specifications with acceptance criteria for software projects.
Architectural expert for the SpecKit template, managing Spec-Driven Development, design patterns, and microservices lifecycle automation.
Validates cross-artifact consistency (spec, plan, tasks) and detects breaking changes (API, DB, UI) during software feature development.
Create structured user stories using the Mike Cohn format with Gherkin acceptance criteria to translate requirements into testable, development-ready tasks.
Apply the Six Thinking Hats methodology to software testing for structured, comprehensive quality analysis, test strategy design, and team discussions.
Generate comprehensive instructions for AI agents to operate the Taskery local Kanban board, including CLI, API, and concurrency management.
A security scanner for Claude Skills to detect malicious code, data exfiltration risks, and unauthorized system access before installation.