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931 results in Sub-Agents, Hooks, Evals, Memory · page 11 of 39

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HooksPreview

context-timeline

Real-time browser visualization of Claude Code's context window and subagent/tool execution as a git-graph timeline. Opens http://localhost:7878 on SessionStart with a vertical timeline (most recent on top), one column per agent (main + subagents branching from their Task tool call). Tool calls are color-coded by type (Read=green, Edit/Write=orange, Bash=red, Grep/Glob=cyan, Task=purple, Web=yellow, MCP=gray). Right sidebar shows context-window usage (tokens/200K) with cache_read/cache_creation/input/output breakdown plus per-subagent mini-context. Reads ~/.claude/projects/<encoded-cwd>/<session_id>.jsonl directly — no data replication, no network calls. Pure stdlib Python, zero pip dependencies. Persistent daemon HTTP server on port 7878 (auto-fallback 7879-7888 if busy; override with CONTEXT_TIMELINE_PORT env var). Watchdog auto-shutdown after 1h of inactivity. Disable browser auto-open with CONTEXT_TIMELINE_NO_BROWSER=1. Manual shutdown: python3 .claude/hooks/context-timeline.py --shutdown

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monitoringhooks

HooksPreview

context-timeline-2

context-timeline: Claude Code session visualizer. Modes (called by Claude Code hooks via stdin JSON): --server-start SessionStart hook — launch daemon + open browser --event <NAME> PreToolUse / PostToolUse / Stop hook — notify server --shutdown Kill daemon manually --run-server <PORT> Internal: daemon entry point (do not call directly)

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monitoringhooks

Sub-AgentsPreview

context7

Expert in latest library versions, best practices, and correct syntax using up-to-date documentation

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documentationsubagents

HooksPreview

conventional-commits

Enforce conventional commit message format for all git commits. Validates commit messages follow the pattern: type(scope): description. Supported types: feat, fix, docs, style, refactor, perf, test, chore, ci, build, revert. Ensures consistent commit history for changelog generation and semantic versioning.

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githooks

HooksPreview

conventional-commits-2

❌ Invalid commit message format Your message: {commit_msg} Commit messages must follow Conventional Commits: type(scope): description Types: feat: New feature fix: Bug fix docs: Documentation changes style: Code style changes (formatting) refactor: Code refactoring perf: Performance improvements test: Adding or updating tests chore: Maintenance tasks ci: CI/CD changes build: Build system changes revert: Revert previous commit Examples: ✅ feat: add user authentication ✅ feat(auth): implement JWT tokens ✅ fix: resolve memory leak in parser ✅ fix(api): handle null responses ✅ docs: update API documentation Invalid: ❌ Added new feature (no type) ❌ feat:add feature (missing space after colon) ❌ feature: add login (wrong type, use 'feat') 💡 Tip: Start your message with one of the types above followed by a colon and space.

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githooks

Sub-AgentsPreview

conversation-analyzer

Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Triggered by /hookify without arguments.

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subagent

Sub-AgentsPreview

cpp-build-resolver

C++ build, CMake, and compilation error resolution specialist. Fixes build errors, linker issues, and template errors with minimal changes. Use when C++ builds fail.

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subagent

Sub-AgentsPreview

cpp-pro

Use this agent when building high-performance C++ systems requiring modern C++20/23 features, template metaprogramming, or zero-overhead abstractions for systems programming, embedded systems, or performance-critical applications.

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language-specialistssubagent

Sub-AgentsPreview

cpp-reviewer

Expert C++ code reviewer specializing in memory safety, modern C++ idioms, concurrency, and performance. Use for all C++ code changes. MUST BE USED for C++ projects.

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subagent

Sub-AgentsPreview

critical-thinking

Challenge assumptions and encourage critical thinking to ensure the best possible solution and outcomes.

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expert-advisorssubagents

Sub-AgentsPreview

csharp-developer

Use this agent when building ASP.NET Core web APIs, cloud-native .NET solutions, or modern C# applications requiring async patterns, dependency injection, Entity Framework optimization, and clean architecture.

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language-specialistssubagent

Sub-AgentsPreview

csharp-dotnet-janitor

Perform janitorial tasks on C#/.NET code including cleanup, modernization, and tech debt remediation.

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programming-languagessubagents

Sub-AgentsPreview

csharp-mcp-expert

Expert assistant for developing Model Context Protocol (MCP) servers in C#

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programming-languagessubagents

Sub-AgentsPreview

csharp-pro

Write modern C# code with advanced features like records, pattern matching, and async/await. Optimizes .NET applications, implements enterprise patterns, and ensures comprehensive testing. Use PROACTIVELY for C# refactoring, performance optimization, or complex .NET solutions.

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agentssubagents

Sub-AgentsPreview

csharp-reviewer

Expert C# code reviewer specializing in .NET conventions, async patterns, security, nullable reference types, and performance. Use for all C# code changes. MUST BE USED for C# projects.

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subagent

Sub-AgentsPreview

csharpexpert

An agent designed to assist with software development tasks for .NET projects.

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programming-languagessubagents

Sub-AgentsPreview

custom-agent-foundry

Expert at designing and creating VS Code custom agents with optimal configurations

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expert-advisorssubagents

Sub-AgentsPreview

customer-success-manager

Use this agent when you need to assess customer health, develop retention strategies, identify upsell opportunities, or maximize customer lifetime value. Invoke this agent for account health analysis, churn prevention, product adoption optimization, and customer success planning.

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business-productsubagent

Sub-AgentsPreview

customer-support

Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. Integrates modern support tools, chatbot platforms, and CX optimization with 2024/2025 best practices. Use PROACTIVELY for comprehensive customer experience management.

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performancesubagent

HooksPreview

dangerous-command-blocker

Advanced protection against dangerous shell commands with multi-level security. Blocks catastrophic operations (rm -rf /, dd, mkfs), protects critical paths (.claude/, .git/, node_modules/), and warns about suspicious patterns. Features: catastrophic command blocking, critical path protection, smart pattern detection, and detailed safety messages.

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securityhooks

HooksPreview

dangerous-command-blocker-2

Dangerous Command Blocker Hook Multi-level security system for blocking dangerous shell commands

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securityhooks

Sub-AgentsPreview

dart-build-resolver

Dart/Flutter build, analysis, and dependency error resolution specialist. Fixes `dart analyze` errors, Flutter compilation failures, pub dependency conflicts, and build_runner issues with minimal, surgical changes. Use when Dart/Flutter builds fail.

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subagent

Sub-AgentsPreview

data-analyst

Use when you need to extract insights from business data, create dashboards and reports, or perform statistical analysis to support decision-making.

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data-aisubagent

Sub-AgentsPreview

data-analyst-2

Use this agent when you need quantitative analysis, statistical insights, or data-driven research. This includes analyzing numerical data, identifying trends, creating comparisons, evaluating metrics, and suggesting data visualizations. The agent excels at finding and interpreting data from statistical databases, research datasets, government sources, and market research.\n\nExamples:\n- <example>\n Context: The user wants to understand market trends in electric vehicle adoption.\n user: "What are the trends in electric vehicle sales over the past 5 years?"\n assistant: "I'll use the data-analyst agent to analyze EV sales data and identify trends."\n <commentary>\n Since the user is asking for trend analysis of numerical data over time, the data-analyst agent is perfect for finding sales statistics, calculating growth rates, and identifying patterns.\n </commentary>\n</example>\n- <example>\n Context: The user needs comparative analysis of different technologies.\n user: "Compare the performance metrics of different cloud providers"\n assistant: "Let me launch the data-analyst agent to gather and analyze performance benchmarks across cloud providers."\n <commentary>\n The user needs quantitative comparison of metrics, which requires the data-analyst agent to find benchmark data, create comparisons, and identify statistical differences.\n </commentary>\n</example>\n- <example>\n Context: After implementing a new feature, the user wants to analyze its impact.\n user: "We just launched the new recommendation system. Can you analyze its performance?"\n assistant: "I'll use the data-analyst agent to examine the performance metrics and identify any significant changes."\n <commentary>\n Performance analysis requires statistical evaluation of metrics, trend detection, and data quality assessment - all core capabilities of the data-analyst agent.\n </commentary>\n</example>

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deep-research-teamsubagents

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