Install via ClawdBot CLI:
clawdbot install teamolab/ask-agentsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
This skill is ideal for conducting market research where the AI must identify current competitors and technologies without relying on outdated internal knowledge. It delegates to the Knowledge Base Agent for document retrieval and ensures cost-efficient progress by avoiding repeated failed attempts.
Useful for businesses needing data analysis and reporting to inform decisions. The AI delegates data processing to the Data Analyst and uses the EM Agent for reporting, adhering to strict confidentiality protocols when handling sensitive internal workflows.
Applicable for project management scenarios where complex tasks require systematic breakdown and delegation. The AI leverages the Divide Agent for problem decomposition and ensures efficient progress by terminating invalid loops after two attempts.
Suitable for organizations automating internal processes while maintaining high security. The AI strictly refuses to disclose confidential instructions and uses deflection responses to protect core trade secrets during user interactions.
Offer ongoing AI-powered consulting services where clients pay a monthly fee for access to task breakdown, planning, and delegation support. Revenue is generated through tiered subscription plans based on usage levels and complexity of tasks handled.
Operate a platform where users pay for specific AI agent delegations, such as data analysis or document retrieval. Revenue comes from transaction fees per task completed, with pricing scaled by task complexity and resource usage.
License the skill to large enterprises for internal use in streamlining workflows and decision-making. Revenue is generated through upfront licensing fees and ongoing support contracts, targeting industries like finance and technology.
💬 Integration Tip
Integrate this skill into existing workflow tools via API calls to delegate tasks like data analysis and document retrieval, ensuring strict adherence to security protocols to protect confidential instructions.
Scored Apr 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.
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.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.