claude-code-orchestrator-kit

Parse git status output into structured data showing staged, modified, and untracked files. Use for pre-flight validation, checking clean working directory, or listing changed files before commits.

Extract version, dependencies, and metadata from package.json files. Use when needing project version, dependency list, or package metadata for releases, audits, or reports.

Process GitHub Issues - fetch open issues, read comments, analyze suggestions, find similar, create Beads tasks, propose fix plan

Process error logs from admin panel - fetch new errors, analyze, create tasks, fix, and mark resolved

Render templates with variable substitution using {{variable}} or ${variable} syntax. Use for generating formatted output, reports, commit messages, or any text requiring variable interpolation.

Inline orchestration workflow for code duplication detection and consolidation with Beads integration. Provides step-by-step phases for reuse-hunter detection, priority-based consolidation with reuse-fixer, and verification cycles.

Automatically rollback changes from failed workflow phases using changes log files. Use when workflows fail and need to restore previous state, including file restoration, artifact cleanup, and command reversal. Use for error recovery after failed bug fixes, security patches, or refactoring operations.

Execute quality gate validation with configurable blocking behavior. Use when running type-check, build, tests, lint, or custom validation commands in orchestrators or workers to enforce quality standards.

Inline orchestration workflow for security vulnerability detection and remediation with Beads integration. Provides step-by-step phases for security-scanner detection, priority-based fixing with vulnerability-fixer, and verification cycles.

Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.

Install and configure Knip for dead code detection. Use before running dead-code-hunter or dependency-auditor to ensure Knip is available. Handles installation, configuration creation, and validation.