verify-before-done-aviPrevent premature completion claims, repeated same-pattern retries, and weak handoffs. Use this skill to improve verification, strategy switching, and blocke...
Install via ClawdBot CLI:
clawdbot install aviclaw/verify-before-done-aviGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Developers or IT teams use this skill to ensure code changes, configuration updates, or system integrations are verified before declaring them complete. It prevents premature success claims by running tests, checking logs, or validating outputs, reducing bug recurrence and improving deployment reliability.
Support agents apply this skill to investigate issues thoroughly before escalating to users or higher tiers. It helps avoid repetitive troubleshooting by switching strategies after two similar attempts, leading to faster resolutions and reduced customer frustration.
Analysts and researchers use this skill to verify factual claims against sources before finalizing reports. It encourages checking available data, logs, or documents before asking for missing information, ensuring accuracy and minimizing unnecessary inquiries.
DevOps engineers leverage this skill to validate config changes, automation scripts, or deployment processes. It promotes direct checks like syntax validation or real requests, preventing downtime and ensuring clean handoffs when blocked by environment issues.
Integrate this skill into a SaaS tool that offers automated debugging, code review, or support ticket resolution. It enhances product reliability by ensuring thorough verification before task completion, attracting customers seeking quality assurance and reducing support costs.
Offer consulting services to help businesses adopt this skill in their workflows, such as for software development or customer support teams. Revenue comes from project-based fees or ongoing retainer agreements, focusing on improving operational efficiency and reducing errors.
Develop training courses or certifications that teach this skill to professionals in tech, support, or research roles. Monetize through course sales, workshops, or certification exams, targeting organizations aiming to upskill their workforce in evidence-driven practices.
💬 Integration Tip
Integrate this skill into existing workflows by adding verification checkpoints in task management tools or AI agents, ensuring it's applied pragmatically without overcomplicating simple tasks.
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...
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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.