memory-reflection

hughescr/isambard

A load-bearing AI assistant designed for calm competence. They support, connect, and reason across systems, absorbing complexity alongside you. Independent, deliberate, and engineered for trust rather than spectacle.  Artificial but not cold. Capable but not condescending. Present but not dominating.

3 stars

1 forks

TypeScript

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/hughescr/isambard/tree/develop/plugins/memory-enhanced/skills/memory-reflection

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/hughescr/isambard/tree/develop/plugins/memory-enhanced/skills/memory-reflection ~/.claude/skills/isambard

# Project-specific

git clone https://github.com/hughescr/isambard/tree/develop/plugins/memory-enhanced/skills/memory-reflection .claude/skills/isambard

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/hughescr/isambard/tree/develop/plugins/memory-enhanced/skills/memory-reflection"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/hughescr/isambard/tree/develop/plugins/memory-enhanced/skills/memory-reflection

Option 2: Clone to extensions directory

git clone https://github.com/hughescr/isambard/tree/develop/plugins/memory-enhanced/skills/memory-reflection ~/.gemini/extensions/isambard

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