takt

🥈Silver

Task Agent Koordination Tool (TAKT) is a multi-agent orchestration system that enables teams of AI agents to collaborate on complex tasks. It supports Claude Code and Codex, allowing for automated workflows in operations. TAKT connects to AI models and workflows, streamlining task delegation and execution.

97220Updated 1mo ago

Intermediate30min to implementautomation

Saves ~300 min per use

Quick InstallView Source

git clone https://github.com/nrslib/takt.git

Works with:

Claude

Overview

About This Skill

TAKT (Task Agent Koordination Tool) is a multi-agent orchestration system designed to enable teams of AI agents to work together on complex tasks. The system supports Claude Code and Codex, allowing users to build automated workflows that streamline task delegation and execution across multiple AI agents. TAKT connects to AI models and manages agent interactions, reducing the complexity of coordinating multi-step operations. Teams can use TAKT to automate workflows in operations where multiple agents need to collaborate toward a common goal. The system handles the orchestration layer, allowing teams to focus on task definition rather than agent coordination logic.

How to Use

[{"step":"Define your complex task and break it into logical subtasks. Use the prompt template to specify the number of agents needed and their specializations. For example: 'Automate our customer onboarding process using 4 agents: data collection, validation, welcome email, and CRM update.'","tip":"Start with a small, well-defined task to test the workflow before scaling to complex processes."},{"step":"Select the appropriate tools for each agent based on their specializations. Use Claude Code for data processing tasks, Codex for code generation, and APIs for external integrations. Configure tool permissions in your TAKT environment.","tip":"Document tool requirements in the workflow JSON to ensure all dependencies are available during execution."},{"step":"Implement error handling protocols by defining retry policies, fallback actions, and critical error conditions. Use the example's structure to specify how the system should respond to failures.","tip":"Test error scenarios by simulating failures (e.g., invalid data input) to validate your recovery procedures."},{"step":"Deploy the workflow in your TAKT environment and monitor the first few executions. Use the success metrics defined in the workflow to validate performance and adjust agent configurations as needed.","tip":"Enable detailed logging for each agent to track performance and identify bottlenecks in the workflow."},{"step":"Scale the workflow by adding more agents or expanding to similar tasks. Use the modular design to reuse agents across different workflows, reducing development time for new automations.","tip":"Create a library of reusable agent templates to speed up future workflow design."}]

Use Cases

Automated multi-step operational workflows with agent collaboration

Complex task delegation across teams of AI agents

Coordinated AI agent execution for business operations

Workflow automation requiring multiple agent interactions

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/nrslib/takt

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Design a TAKT workflow to automate [TASK] using a team of specialized AI agents. The workflow should include: 1) A coordinator agent that breaks the task into subtasks, 2) Specialized agents for [SPECIALIZATIONS], and 3) A final integration agent that compiles results. Use [TOOLS] for execution. Define clear handoff criteria and error-handling protocols. Provide the workflow in JSON format with agent roles, dependencies, and success metrics.

Example Output

```json
{
  "workflow_name": "Automated Quarterly Financial Report Generation",
  "description": "A TAKT workflow that coordinates 5 specialized AI agents to generate a quarterly financial report from raw transaction data, eliminating manual data entry and reducing processing time by 85%.",
  "agents": [
    {
      "role": "Data Ingestion Agent",
      "specialization": "CSV/Excel parsing, API data fetching",
      "tools": ["Pandas", "requests", "Claude Code"],
      "input": "Raw transaction files from [ACCOUNTING_SYSTEM]",
      "output": "Cleaned and validated transaction dataset",
      "success_metrics": {"accuracy": "99.5%", "processing_time": "<2 minutes"}
    },
    {
      "role": "Categorization Agent",
      "specialization": "Expense categorization, GL account mapping",
      "tools": ["Claude Code", "custom_rules_engine"],
      "input": "Cleaned transaction dataset",
      "output": "Categorized transactions with GL codes",
      "success_metrics": {"categorization_accuracy": "98%", "unmapped_items": "<1%"}
    },
    {
      "role": "Report Generation Agent",
      "specialization": "Financial reporting templates, Excel/PDF generation",
      "tools": ["Claude Code", "openpyxl", "reportlab"],
      "input": "Categorized transactions, prior quarter benchmarks",
      "output": "Draft quarterly financial report in Excel and PDF",
      "success_metrics": {"template_compliance": "100%", "generation_time": "<5 minutes"}
    },
    {
      "role": "Review Agent",
      "specialization": "Financial anomaly detection, compliance checks",
      "tools": ["Claude Code", "custom_validation_rules"],
      "input": "Draft financial report",
      "output": "Report with identified anomalies and compliance flags",
      "success_metrics": {"anomalies_identified": "100%", "false_positives": "<2%"}
    },
    {
      "role": "Integration Agent",
      "specialization": "Workflow orchestration, error handling",
      "tools": ["TAKT Core", "Slack API", "Email API"],
      "input": "All agent outputs",
      "output": "Final report delivered to stakeholders",
      "success_metrics": {"delivery_success_rate": "99.9%", "end_to_end_time": "<15 minutes"}
    }
  ],
  "dependencies": [
    {"depends_on": "Data Ingestion Agent", "required_output": "Cleaned transaction dataset"},
    {"depends_on": "Categorization Agent", "required_output": "Categorized transactions"},
    {"depends_on": "Report Generation Agent", "required_output": "Draft financial report"}
  ],
  "error_handling": {
    "retry_policy": "3 attempts with exponential backoff",
    "fallback_actions": ["Notify human reviewer via Slack", "Log error to Jira"],
    "critical_errors": ["Data source unavailable", "Template corruption"]
  },
  "success_metrics": {
    "overall_accuracy": "97%",
    "time_saved_per_report": "12 hours",
    "cost_reduction": "$4,500 annually"
  }
}
```