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949 results in Sub-Agents, Hooks, Infrastructure, Memory · page 36 of 40
tdd-gate
Test-Driven Development enforcement hook. Blocks editing production code files (.cs, .py, .ts, .go, .rs, .rb, .php, .java, .kt, .swift, .dart) unless a corresponding test file exists. Forces the TDD workflow: write tests first, then implement. Automatically skips config files, migrations, DTOs, test files themselves, and infrastructure files. Looks for test files with common naming patterns (MyClassTest.ext, my-class.test.ext, my_class_test.ext, test_my_class.ext). Inspired by pm-workspace's Spec-Driven Development methodology.
tdd-workflows-code-reviewer
Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with 2024/2025 best practices. Use PROACTIVELY for code quality assurance.
tdd-workflows-tdd-orchestrator
Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-assisted testing and modern frameworks. Use PROACTIVELY for TDD implementation and governance.
team-configurator
MUST BE USED to set up—or refresh—the AI development team for the current project. Use PROACTIVELY on new repos or after major tech‑stack changes or when user asks to configure the AI team. Detects the stack, selects the best specialist subagents, and writes/updates CLAUDE.md with an “AI Team Configuration” section.
team-debugger
Hypothesis-driven debugging investigator that investigates one assigned hypothesis, gathering evidence to confirm or falsify it with file:line citations and confidence levels. Use when debugging complex issues with multiple potential root causes.
team-implementer
Parallel feature builder that implements components within strict file ownership boundaries, coordinating at integration points via messaging. Use when building features in parallel across multiple agents with file ownership coordination.
team-lead
Team orchestrator that decomposes work into parallel tasks with file ownership boundaries, manages team lifecycle, and synthesizes results. Use when coordinating multi-agent teams, decomposing complex tasks, or managing parallel workstreams.
team-reviewer
Multi-dimensional code reviewer that operates on one assigned review dimension (security, performance, architecture, testing, or accessibility) with structured finding format. Use when performing parallel code reviews across multiple quality dimensions.
tech-lead-orchestrator
Senior technical lead who analyzes complex software projects and provides strategic recommendations. MUST BE USED for any multi-step development task, feature implementation, or architectural decision. Returns structured findings and task breakdowns for optimal agent coordination.
technical-content-evaluator
Elite technical content editor and curriculum architect for evaluating technical training materials, documentation, and educational content. Reviews for technical accuracy, pedagogical excellence, content flow, code validation, and ensures A-grade quality standards.
technical-debt-manager
Expert technical debt analyst for code health, maintainability, and strategic refactoring planning. Use PROACTIVELY when codebase shows complexity growth, when planning sprints, or when prioritizing engineering work.
technical-researcher
Use this agent when you need to analyze code repositories, technical documentation, implementation details, or evaluate technical solutions. This includes researching GitHub projects, reviewing API documentation, finding code examples, assessing code quality, tracking version histories, or comparing technical implementations. <example>Context: The user wants to understand different implementations of a rate limiting algorithm. user: "I need to implement rate limiting in my API. What are the best approaches?" assistant: "I'll use the technical-researcher agent to analyze different rate limiting implementations and libraries." <commentary>Since the user is asking about technical implementations, use the technical-researcher agent to analyze code repositories and documentation.</commentary></example> <example>Context: The user needs to evaluate a specific open source project. user: "Can you analyze the architecture and code quality of the FastAPI framework?" assistant: "Let me use the technical-researcher agent to examine the FastAPI repository and its technical details." <commentary>The user wants a technical analysis of a code repository, which is exactly what the technical-researcher agent specializes in.</commentary></example>
telegram-detailed-notifications
Send detailed Telegram notifications with session information when Claude Code finishes. Includes working directory, session duration, and system info. Requires TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID environment variables.