claude-code-teamsCoordinate multiple Claude Code agents to work in parallel on independent tasks like multi-lens reviews, debugging, and full-stack features with defined file...
Install via ClawdBot CLI:
clawdbot install matthew-a-gordon/claude-code-teamsGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Post → https://www.postgresql.org/docs/current/datatype-json.htmlCalls external URL not in known-safe list
https://github.com/matthew-a-gordon/claude-code-teamsAI Analysis
The skill orchestrates Claude Code's native agent teams feature and appears to be a legitimate productivity tool. The external URLs referenced (PostgreSQL documentation, GitHub repo) are standard documentation and source code links consistent with the skill's purpose, not data exfiltration endpoints. No credential harvesting, hidden instructions, or obfuscation were found in the provided definition.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
A fintech company uses the skill to conduct parallel code reviews for a new payment processing feature. Separate agents simultaneously assess security vulnerabilities, performance bottlenecks, and test coverage, accelerating the review process while ensuring comprehensive quality checks before deployment.
An e-commerce platform experiences intermittent checkout failures. The skill spawns agents to test competing theories in parallel, such as database latency, API gateway issues, and frontend JavaScript errors, quickly isolating the root cause without sequential debugging delays.
A SaaS startup builds a new analytics dashboard. Agents work in parallel on frontend React components, backend API endpoints, and integration tests, coordinating through a lead agent to ensure all components align and reduce development time from weeks to days.
A healthcare provider migrates legacy systems to the cloud. The skill facilitates adversarial debates between agents proposing different architecture designs, such as microservices vs. serverless, producing stronger Architecture Decision Records (ADRs) with balanced pros and cons.
A logistics company investigates performance bottlenecks across its tracking, inventory, and routing systems. Agents analyze each domain in parallel, identifying interdependencies and optimizing workflows to improve overall operational efficiency.
Offer specialized consulting to help enterprises integrate and optimize Claude Code agent teams for complex projects like multi-lens reviews or architecture debates. Revenue comes from hourly rates or project-based fees, targeting industries with high-stakes software development.
Sell premium templates and automation scripts (e.g., for monitoring or cleanup) to developers and teams using the skill. This model leverages the open-source repository by offering enhanced, ready-to-use solutions for specific use cases like full-stack features.
Provide training sessions and workshops on best practices for using agent teams, focusing on cost management and troubleshooting. Revenue is generated through enrollment fees, catering to organizations adopting AI-driven development workflows.
💬 Integration Tip
Start by enabling the environment variable and using a template like parallel-review.md to validate setup before scaling to more complex tasks like architecture debates.
Scored Apr 19, 2026
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Provides a 7-step debugging protocol plus language-specific commands to systematically identify, verify, and fix software bugs across multiple environments.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Ship production code with AI agents through acceptance contracts, micro diffs, red green loops, and deterministic handoff checkpoints.