eigenskill-builderMeta-skill for building and publishing agent skills on ClawHub. Covers skill structure, YAML frontmatter specification, references directory convention, nega...
Install via ClawdBot CLI:
clawdbot install samledger67-dotcom/eigenskill-builderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
An AI agent needs to create a skill that teaches other agents how to perform variance analysis and cash flow forecasting for corporate finance teams. The agent uses this skill to structure the SKILL.md with proper YAML frontmatter, define negative boundaries to exclude tax preparation, and set up a references directory with industry benchmarks.
An AI agent is tasked with reviewing a pre-built skill for handling customer inquiries via chat. The agent applies this skill to check the SKILL.md for required fields like description with exclusions, ensure references are one level deep, and verify it avoids prompt engineering content, directing to dedicated skills instead.
An AI agent builds a skill that guides other agents on HIPAA compliance documentation for healthcare providers. Using this skill, the agent follows the ClawHub CLI workflow to publish the skill, includes metadata like emoji and tier, and ensures it does not cover agent orchestration or memory systems.
An AI agent is creating over 50 skills for an e-commerce platform, covering areas like inventory management and order processing. The agent uses this skill to plan the skill graph, define dependencies between skills, and maintain consistent structure across all directories to avoid chaining references.
A company offers a subscription-based platform where users can access and customize AI agent skills built with this meta-skill. Revenue comes from tiered plans based on skill complexity and usage, targeting enterprises needing scalable agent solutions.
A consultancy firm uses this skill to train clients in building and validating custom skills for their AI agents. Revenue is generated through project-based fees and ongoing support contracts, focusing on industries like finance and healthcare.
An online marketplace hosts skills developed using this meta-skill, allowing developers to sell or share their creations. Revenue comes from transaction fees on sales and premium listings, catering to individual developers and small teams.
💬 Integration Tip
Integrate this skill early in agent training to ensure consistent skill structure and avoid scope creep by strictly adhering to negative boundaries.
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...
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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.