A structured framework to convert repeatable manual tasks into autonomous agent loops using a proven Yes/No decision canvas.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentic-loop-designer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agentic-loop-designer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agentic Loop Designer?
The Agentic Loop Designer is a technical methodology and toolset designed to eliminate the manual overhead developers and founders face during repeatable task sequences. By utilizing the Yes/No Loop Canvas, this skill helps users map out triggers, agent actions, decision gates, and memory persistence to create robust automation.
Whether it is email triage, weekly reporting, or lead qualification, this core component of Openclaw Skills ensures that if you do a task more than twice a week, it can be transformed into a self-sustaining autonomous loop. It bridges the gap between manual work and full autonomy by providing clear structures for human-in-the-loop approvals and risk management.
Agentic Loop Designer Use Cases
- Automating weekly team standup digests by aggregating data from Linear, GitHub, and Slack.
- Scaling lead qualification workflows by scoring form submissions and drafting personalized follow-up emails.
- Managing engineering debt through automated GitHub PR review reminders and reviewer mentions.
- Generating financial snapshots and WoW revenue change reports directly from Stripe and Notion.
- Capturing and queuing content ideas from Slack messages into centralized databases for marketing teams.
How Agentic Loop Designer Works
- Identify a repeatable manual task and its associated data sources using the 10-minute workshop framework.
- Define the Trigger Qualification to determine if the loop runs on a schedule (Cron), a data event (Webhook), or a manual command.
- Design the Agent Action by specifying what data to read (Sources), how to transform it (Work), and the desired Output Format.
- Implement a Decision Gate based on risk level, ranging from auto-runs for read-only tasks to human-in-the-loop Slack approvals for sensitive actions.
- Configure Memory persistence to handle deduplication and maintain state between consecutive runs using file-based storage.
- Validate the loop using the built-in scoring rubric to ensure reliability and usefulness before full deployment.
Agentic Loop Designer Setup
To begin using this framework within Openclaw Skills, follow these installation and configuration steps:
- Access the Agentic Loop Designer within your AI agent environment and load the canvas templates.
- Configure your MCP servers for necessary integrations such as GitHub, Stripe, or Slack.
- Deploy your loop configuration using the standard CLI deployment path.
# Example: Deploying a customized standup loop
openclaw deploy-loop --config ./weekly-standup-config.json
- Run a manual test execution to verify the decision gate logic and the accuracy of the agent's data transformation.
Agentic Loop Designer Data Schema & Taxonomy
The skill utilizes a structured memory and configuration schema to manage state and logic across different Openclaw Skills.
| Field | Description | Type |
|---|---|---|
| loop_id | Unique identifier for the specific automation loop | String |
| last_run | Timestamp of the most recent successful execution | ISO-8601 |
| processed_ids | Array of IDs to prevent duplicate actions or double-posting | Array |
| run_count | Cumulative count of total executions | Integer |
| gate_type | The approval model used (auto-run, preview, or human-approval) | String |
Agentic Loop Designer Advanced Features
- Score-based decision logic for dynamic filtering that allows agents to silently discard low-quality data or auto-add high-quality inputs.
- Multi-source data aggregation utilizing Model Context Protocol (MCP) servers for deep technical integrations.
- Risk-aware gating mechanisms with interactive Slack buttons for manual approval, skip, or escalation.
- Persistent memory implementation for stateful deduplication and tracking cumulative metrics like MRR or churn.
- Pre-built templates for common founder and developer workflows including PR management and revenue tracking.
SKILL.md
Loading
Related Openclaw Skills
A/B Test Architect
A professional CRO framework for planning, prioritizing, and documenting A/B tests using the high-velocity Test Velocity Method.
Web Form Automation
Automate complex web form interactions and file uploads using Playwright with reliable session management and event-driven inputs.
Jimeng AI Video Automation
A comprehensive automation solution for batch generating AI videos on the Jimeng AI platform using Playwright and session persistence.
Crawl From X
A specialized tool for automating the extraction of X/Twitter posts and media into organized, offline-ready Markdown files.
AI OS Blueprint
A framework to transition from basic AI chatting to a structured, memory-persistent, and automated agentic operating system.
COI & Insurance Compliance Tracker
A proactive four-phase framework for managing vendor insurance certificates, automating compliance scoring, and handling remediation workflows.
Featured*
