Agent Capability Analysis
The llm-council-context skill by Schwartz10 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.
Ideal Agent Persona
Ideal for Advanced AI Agents like Cursor, Windsurf, or Claude Code seeking efficient multi-model decision-making through a council context framework.
Core Value
Empowers agents to provide concise, high-signal context for consult_llm_council requests, utilizing context budgeting, structured information, and targeted excerpt inclusion, while reserving budget for model responses and supporting protocols like model selection flow.
↓ Capabilities Granted for llm-council-context
! Prerequisites & Limits
- Requires persistent memory for effective context management
- Dependent on specific model compatibility for consult_llm_council requests
Browser Sandbox Environment
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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
llm-council-context
Install llm-council-context, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is llm-council-context?
Ideal for Advanced AI Agents like Cursor, Windsurf, or Claude Code seeking efficient multi-model decision-making through a council context framework. Personal / private AI leader, outsources decisions to multi member AI council when necessary. persistent memory
How do I install llm-council-context?
Run the command: npx killer-skills add Schwartz10/llm-council-mcp. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for llm-council-context?
Key use cases include: Structuring information for multi-model decision-making, Avoiding context truncation in council requests, Optimizing context budget for efficient model interactions.
Which IDEs are compatible with llm-council-context?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for llm-council-context?
Requires persistent memory for effective context management. Dependent on specific model compatibility for consult_llm_council requests.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add Schwartz10/llm-council-mcp. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use llm-council-context immediately in the current project.