context-engineering-kit

Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

Implement a task step by step with automated LLM-as-Judge verification at the end of each phase

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation

Evaluate solutions through multi-round debate between independent judges until consensus

Evaluate solutions through multi-round debate between independent judges until consensus

Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.

Use when Code implementation and refactoring, architecturing or designing systems, process and workflow improvements, error handling and validation. Provide tehniquest to avoid over-engineering and apply iterative improvements.

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification

Load all open issues from GitHub and save them as markdown files

Load all open issues from GitHub and save them as markdown files

Use to load open/unresolved PR review comments then aggregate them as tasks in .specs/comments/*.md for parallel agents to fix.

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.

Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.

Iterative PDCA cycle for systematic experimentation and continuous improvement

Iterative PDCA cycle for systematic experimentation and continuous improvement