client-onboarding-agentClient onboarding and business diagnostic framework for AI agent deployments. Covers 4-round diagnostic process, 6 constraint categories, deployment SOP with...
Install via ClawdBot CLI:
clawdbot install samledger67-dotcom/client-onboarding-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A digital marketing agency struggles with manual client reporting and campaign data aggregation from multiple platforms like Google Ads and social media. This skill helps identify repetitive tasks, map data flows, and assess constraints to automate report generation and data synchronization, freeing up staff for strategic work.
An e-commerce business faces order processing bottlenecks and inventory management errors due to manual data entry between Shopify and QuickBooks. The skill's diagnostic process uncovers pain points, maps workflows, and identifies technical constraints to deploy agents for automated order fulfillment and inventory updates.
A medical practice deals with time-consuming patient intake and billing processes, causing compliance anxiety and staff burnout. This skill guides through constraint analysis for HIPAA regulations and workflow mapping to automate appointment scheduling and insurance verification, ensuring regulatory adherence.
A financial advisory firm has fragmented client onboarding and reporting tools, leading to data silos and inefficiencies. The skill's diagnostic rounds help identify pain points, map data flows, and assess organizational constraints to automate client data aggregation and compliance reporting for better accuracy.
Offering ongoing AI agent deployment and management for clients, including setup, monitoring, and optimization. Revenue comes from monthly retainer fees covering agent maintenance, API costs, and support, with contracts based on the skill's completion agreements and tiered advisory modes.
Providing one-time or project-based consulting using the diagnostic framework to design and deploy custom AI agent solutions. Revenue is generated through fixed-fee packages for each diagnostic round and implementation, with upsells for ongoing support or additional automations.
Selling tiered access to advisory services based on client needs, such as basic diagnostics, full deployment support, or premium ongoing optimization. Revenue streams include subscription tiers aligned with the skill's advisory modes, with higher tiers offering more hands-on agent management and strategic guidance.
💬 Integration Tip
Focus on identifying technical constraints early, such as API availability and internet reliability, to avoid deployment blockers, and use the workflow diagrams to pinpoint automatable steps for seamless integration with existing tools.
Scored Jun 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context....
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.