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mamba-mental
GitHub creator profile

mamba-mental

Repository-level view of 3 collected skills across 1 GitHub repositories.

skills collected
3
repositories
1
updated
2026-01-10
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Top repositories by collected skill count, with their share of this creator catalog and occupation spread.

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Repositories and representative skills

pal-mcp-expert
software-developers

Expert guidance for using the Pal MCP Server (zen-pal-nas). This skill should be used when working with multi-model AI orchestration, tool workflows (chat, thinkdeep, planner, consensus, debug, codereview, precommit, clink), configuration troubleshooting, or optimizing model selection strategies. Activates automatically when user mentions Pal MCP, zen-pal-nas, or specific tool names.

2026-01-10
tts-mcp-server
software-developers

This skill provides comprehensive guidance for using TTS-MCP-SERVER with ElevenLabs eleven_v3 model for sultry, seductive, ominous, and emotionally expressive voice output. Use this skill when generating voice announcements, applying audio tags for dark/sexy/mischievous emotional expression, crafting "naughty professional accountability partner" scripts, or troubleshooting TTS integration. Activates on speak_text calls, voice output requests, ElevenLabs TTS operations, audio tag usage, or voice announcements during automated workflows.

2026-01-10
serena-mcp-agent
software-developers

Expert integration for the Serena MCP Server - a powerful coding agent toolkit providing IDE-like semantic code understanding to LLMs. This skill should be used when working with codebases through Serena tools, setting up Serena projects, performing semantic code navigation and editing, managing project memories, debugging complex automation workflows, or integrating Serena with Claude Desktop, Claude Code, Codex, ChatGPT, or custom agents. Triggers on Serena tool usage, project activation/onboarding, symbolic code operations (find_symbol, replace_symbol_body, etc.), memory management (write_memory, read_memory), and MCP server configuration. Use for large/complex codebases requiring structural understanding, refactoring tasks, and token-efficient code operations.

2026-01-10
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