Name: ai
Author: William189189

Prompt file imported from William189189/boss-bidding (.claude/commands/ai.md). Copyright stays with the author.

/ai - Kaizen Quick Reference

Purpose

Load the Kaizen skill for production-ready AI agent implementation with signature-based programming and multi-agent coordination.

Step 0: Verify Project Uses Kailash Kaizen

Before loading Kaizen patterns, check that this project uses Kailash Kaizen:

Look for kailash-kaizen or kaizen in requirements.txt, pyproject.toml
Look for from kaizen / import kaizen in source files

If not found, inform the user: "This project doesn't appear to use Kailash Kaizen. These patterns may not apply. Continue anyway?"

Quick Reference

Command	Action
`/ai`	Load Kaizen patterns and agent basics
`/ai agent`	Show Agent API patterns
`/ai signature`	Show signature-based programming
`/ai multi`	Show multi-agent coordination

What You Get

Unified Agent API (v1.0.0)
Signature-based programming
Multi-agent coordination
BaseAgent architecture
Autonomous execution modes

Quick Pattern

import os
from kaizen.api import Agent

# 2-line quickstart — model from .env, NEVER hardcoded
agent = Agent(model=os.environ["KAIZEN_MODEL"])
result = await agent.run("What is IRP?")

# Autonomous mode with memory
agent = Agent(
    model=os.environ["KAIZEN_MODEL"],
    execution_mode="autonomous",  # TAOD loop
    memory="session",
    tool_access="constrained",
)

Key Concepts

Concept	Description
Signatures	Define input/output contracts
Execution Modes	supervised, autonomous, hybrid
BaseAgent	Inherit for custom agents
AgentRegistry	Scale to 100+ agents
TAOD Loop	Think, Act, Observe, Decide

Agent Teams

When working with Kaizen, deploy:

kaizen-specialist — Signatures, multi-agent coordination, BaseAgent architecture
testing-specialist — Agent testing patterns (Real infrastructure recommended)

Related Commands

/sdk - Core SDK patterns
/db - DataFlow database operations
/api - Nexus multi-channel deployment
/test - Testing strategies
/validate - Project compliance checks

Skill Reference

This command loads: .claude/skills/04-kaizen/SKILL.md

Install ai and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

# /ai - Kaizen Quick Reference ## Purpose Load the Kaizen skill for production-ready AI agent implementation with signature-based programming and multi-agent coordination. ## Step 0: Verify Project Uses Kailash Kaizen Before loading Kaizen patterns, check that this project uses Kailash Kaizen: - Look for `kailash-kaizen` or `kaizen` in `requirements.txt`, `pyproject.toml` - Look for `from kaizen` / `import kaizen` in source files If not found, inform the user: "This project doesn't appear to use Kailash Kaizen. These patterns may not apply. Continue anyway?" ## Quick Reference | Command | Action | | --------------- | ------------------------------------- | | `/ai` | Load Kaizen patterns and agent basics | | `/ai agent` | Show Agent API patterns | | `/ai signature` | Show signature-based programming | | `/ai multi` | Show multi-agent coordination | ## What You Get - Unified Agent API (v1.0.0) - Signature-based programming - Multi-agent coordination - BaseAgent architecture - Autonomous execution modes ## Quick Pattern ```python import os from kaizen.api import Agent # 2-line quickstart — model from .env, NEVER hardcoded agent = Agent(model=os.environ["KAIZEN_MODEL"]) result = await agent.run("What is IRP?") # Autonomous mode with memory agent = Agent( model=os.environ["KAIZEN_MODEL"], execution_mode="autonomous", # TAOD loop memory="session", tool_access="constrained", ) ``` ## Key Concepts | Concept | Description | | ------------------- | ------------------------------ | | **Signatures** | Define input/output contracts | | **Execution Modes** | supervised, autonomous, hybrid | | **BaseAgent** | Inherit for custom agents | | **AgentRegistry** | Scale to 100+ agents | | **TAOD Loop** | Think, Act, Observe, Decide | ## Agent Teams When working with Kaizen, deploy: - **kaizen-specialist** — Signatures, multi-agent coordination, BaseAgent architecture - **testing-specialist** — Agent testing patterns (Real infrastructure recommended) ## Related Commands - `/sdk` - Core SDK patterns - `/db` - DataFlow database operations - `/api` - Nexus multi-channel deployment - `/test` - Testing strategies - `/validate` - Project compliance checks ## Skill Reference This command loads: `.claude/skills/04-kaizen/SKILL.md`

{ "prompt": "# /ai - Kaizen Quick Reference\n\n## Purpose\n\nLoad the Kaizen skill for production-ready AI agent implementation with signature-based programming and multi-agent coordination.\n\n## Step 0: Verify Project Uses Kailash Kaizen\n\nBefore loading Kaizen patterns, check that this project uses Kailash Kaizen:\n\n- Look for `kailash-kaizen` or `kaizen` in `requirements.txt`, `pyproject.toml`\n- Look for `from kaizen` / `import kaizen` in source files\n\nIf not found, inform the user: \"This project doesn't appear to use Kailash Kaizen. These patterns may not apply. Continue anyway?\"\n\n## Quick Reference\n\n| Command | Action |\n| --------------- | ------------------------------------- |\n| `/ai` | Load Kaizen patterns and agent basics |\n| `/ai agent` | Show Agent API patterns |\n| `/ai signature` | Show signature-based programming |\n| `/ai multi` | Show multi-agent coordination |\n\n## What You Get\n\n- Unified Agent API (v1.0.0)\n- Signature-based programming\n- Multi-agent coordination\n- BaseAgent architecture\n- Autonomous execution modes\n\n## Quick Pattern\n\n```python\nimport os\nfrom kaizen.api import Agent\n\n# 2-line quickstart — model from .env, NEVER hardcoded\nagent = Agent(model=os.environ[\"KAIZEN_MODEL\"])\nresult = await agent.run(\"What is IRP?\")\n\n# Autonomous mode with memory\nagent = Agent(\n model=os.environ[\"KAIZEN_MODEL\"],\n execution_mode=\"autonomous\", # TAOD loop\n memory=\"session\",\n tool_access=\"constrained\",\n)\n```\n\n## Key Concepts\n\n| Concept | Description |\n| ------------------- | ------------------------------ |\n| **Signatures** | Define input/output contracts |\n| **Execution Modes** | supervised, autonomous, hybrid |\n| **BaseAgent** | Inherit for custom agents |\n| **AgentRegistry** | Scale to 100+ agents |\n| **TAOD Loop** | Think, Act, Observe, Decide |\n\n## Agent Teams\n\nWhen working with Kaizen, deploy:\n\n- **kaizen-specialist** — Signatures, multi-agent coordination, BaseAgent architecture\n- **testing-specialist** — Agent testing patterns (Real infrastructure recommended)\n\n## Related Commands\n\n- `/sdk` - Core SDK patterns\n- `/db` - DataFlow database operations\n- `/api` - Nexus multi-channel deployment\n- `/test` - Testing strategies\n- `/validate` - Project compliance checks\n\n## Skill Reference\n\nThis command loads: `.claude/skills/04-kaizen/SKILL.md`", "variables": [], "notes": "Load the Kaizen skill for production-ready AI agent implementation with signature-based programming and multi-agent coordination.", "metadata": { "source": { "provider": "github-claude-commands", "repository": "https://github.com/William189189/boss-bidding", "path": ".claude/commands/ai.md", "ref": "fb1e2a390d2b9801b671ec358bccd2b899b33e8f", "url": "https://github.com/William189189/boss-bidding/blob/fb1e2a390d2b9801b671ec358bccd2b899b33e8f/.claude/commands/ai.md", "key": "William189189/boss-bidding/.claude/commands/ai.md" } } }

ai

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