agentic-loop-designerDesign and deploy autonomous agent loops that automate repetitive tasks with yes/no decisions, triggers, approvals, and Slack outputs using ready templates o...
Install via ClawdBot CLI:
clawdbot install flynndavid/agentic-loop-designerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://remyclaw.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Automates the creation of weekly performance summaries for a marketing team. The agent pulls data from analytics platforms, social media APIs, and CRM systems to compile metrics, identifies trends, and flags underperforming campaigns. It outputs a formatted Slack message to a management channel, with an auto-send gate after a 15-minute review period.
Streamlines initial handling of incoming support tickets from email or a helpdesk system. The agent categorizes tickets based on keywords, assigns priority levels, and suggests solutions from a knowledge base. It sends a preview to a Slack channel for agent approval before updating the ticketing system, reducing manual sorting time.
Automates daily reconciliation of transactions for a small business. The agent accesses bank APIs and accounting software to match entries, flag discrepancies, and generate a summary report. Output is sent as a Slack DM to the finance manager with an approve button required due to medium risk, ensuring accuracy before finalizing records.
Manages content scheduling for a media company by processing new submissions via a webhook. The agent checks editorial guidelines, suggests publication dates based on audience analytics, and drafts social media posts. It posts a preview in a Slack channel for editor approval, with auto-skip after 30 minutes if no action is taken.
Monitors inventory levels for an e-commerce store using polling triggers from warehouse management systems. The agent identifies low-stock items, calculates reorder quantities, and generates purchase orders. It sends a Slack message to the procurement team with an approve button, as the action involves financial commitments and requires human review.
Offers the skill as part of a productivity pack for $79, targeting startups and small businesses. Revenue comes from one-time purchases or bundled deals, with potential for upsells to advanced templates or consulting services. This model leverages low setup effort and high time-saving value to attract budget-conscious teams.
Provides basic loop design tools for free, while charging for premium templates like lead qualifiers or financial reports. Revenue is generated through template sales at $29 each, appealing to users who need specific, high-value automations without custom development costs. This encourages adoption and scales with user needs.
Licenses the skill to digital agencies or consultants who use it to design agentic loops for client workflows. Revenue comes from annual licensing fees or revenue-sharing agreements, enabling agencies to offer automation as a service. This model expands reach through partners and leverages professional expertise for complex implementations.
💬 Integration Tip
Start with time-based triggers like cron jobs for low-risk tasks such as weekly reports, as they are reliable and easy to set up, then gradually add webhooks for event-driven workflows.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongS...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...