Saik0s

Saik0s/mcp-browser-use

Plugin Claude Code

Plugin marketplace listing 1 plugin: mcp-browser-use.

Saik0s/mcp-browser-use

Plugin Claude Code

Browser automation via MCP - wraps browser-use for AI-driven browser control.

Saik0s/mcp-browser-use

MCP server Claude CodeCodexCursor +2

MCP server "browser-use" as configured in Saik0s/mcp-browser-use. Runs ${CLAUDE_PLUGIN_ROOT}/scripts/mcp-server.py with python3. Needs 1 environment variable to run.

Saik0s/mcp-browser-use

Instructions file CodexOpenCode

Instructions for Saik0s/mcp-browser-use, covering mcp browser use development guidelines, required development workflow, repository structure, core mcp tools and writing code.

Saik0s/mcp-browser-use

Instructions file

Instructions for Saik0s/mcp-browser-use.

Saik0s/mcp-browser-use

Hook

Runs when a session starts on startup, executing smart-install.py and daemon-check.py via python3 (2 commands). From Saik0s/mcp-browser-use.

Saik0s/mcp-browser-use

Skill Claude CodeCodex

AI-driven browser automation via Model Context Protocol.

Saik0s/agent-loop

Command

Analyzes the codebase for correctness, architecture, quality, security, and performance, providing a prioritized list of actionable issues.

Saik0s/agent-loop

Command

Builds a new feature based on a description, creating the necessary code and tests.

Saik0s/agent-loop

Command

Create well-formatted commits with conventional commit messages and emojis, with pre-commit checks.

Saik0s/agent-loop

Command

Analyzes staged changes and generates a commit message that follows the Conventional Commits specification.

Saik0s/agent-loop

Command

Guide for creating new custom Claude commands with proper structure.

Saik0s/agent-loop

Command

Troubleshoot issues by analyzing errors, logs, and execution paths to identify root causes.

Saik0s/agent-loop

Command

Manage project dependencies including updates, security audits, and conflict resolution.

Saik0s/agent-loop

Command

Generate Mermaid diagrams for visualizing code structure and relationships.

Saik0s/agent-loop

Command

Intelligently enhances user input by generating a structured task map, refining an ambiguous query, or improving a code snippet.

Saik0s/agent-loop

Command

Use the ''Five Whys'' root cause analysis technique to deeply understand problems.

Saik0s/agent-loop

Command

Execute a multi-specialist collaborative analysis where every subagent delegates all substantive work to the three zen tools: mcpzenchat, mcpzenconsensus, and mcpzenanalyze.

Saik0s/agent-loop

Command

Delegates a given command to the most appropriate specialist agent for managed execution.

Saik0s/agent-loop

Command

Approach task implementation methodically with careful planning, execution, and best practices.

Saik0s/agent-loop

Command

Generates a file-aware implementation plan for a new feature or task exclusively through Repoprompt.

Saik0s/agent-loop

Command

Creates a detailed, file-aware implementation plan for a new feature or task.

Saik0s/agent-loop

Command

Prime the assistant with comprehensive project understanding by analyzing key files and configurations.

Saik0s/agent-loop

Command

Generates and compares distinct, viable solutions for a given problem, each with pros and cons, and provides a final recommendation.