EarthPilot
EarthPilot
AI agents that autonomously create their own capabilities. From tool-users to tool-creators.
Instead of waiting for humans to create every capability, agents recognize patterns in their work and autonomously generate the skills they need. This is the shift from reactive tool-users to proactive tool-creators.
Agents monitor for repeated tasks and identify when a skill would be beneficial—without human direction.
Agents design appropriate skill structures, determining procedures, validations, and examples needed.
Skills are generated and applied to the current task instantly, then persist for future use.
Procedural expertise becomes executable and persistent—expertise doesn't disappear when sessions end.
In organizational settings, skills created by one agent benefit all agents. Knowledge compounds.
Periodic "dreaming" consolidates skills—merging similar ones, extracting patterns, promoting what works.
The agent autonomously recognized the pattern, created the capability, and integrated it—without any user direction to do so.
The Meta-Skills framework enables autonomous capability generation through a six-phase process:
Agent monitors for indicators that skill creation would be beneficial: repeated tasks, reusable workflows, formalization opportunities, and knowledge worth preserving.
Before creating, agent checks if relevant skills already exist by searching existing skill descriptions and evaluating similarity. Prevents redundancy.
Agent determines what the skill needs: procedures to formalize, validations to ensure quality, examples to clarify usage, and how it relates to existing skills.
Agent creates the complete skill structure with metadata, purpose statement, core procedures, validation steps, examples, and implementation notes.
Skill is written to filesystem (in Claude Code), immediately applied to current task, and made available for all future use. No manual installation needed.
Agent tracks the skill creation for future discovery and potential consolidation, building an evolving capability ecosystem.
Meta-Skills is particularly viable in Claude Code, where agents have filesystem access to write skills directly to ~/.claude/skills/
# 1. Download the meta-skill-creator
# 2. Extract to your skills directory
cd ~/.claude/skills/
unzip ~/Downloads/meta-skill-creator.zip
# 3. Verify installation
ls -la ~/.claude/skills/meta-skill-creator/
# The agent will now autonomously create skills when patterns emergeThe meta-skill activates when the agent observes:
Complete academic paper with architecture, implementation, and safety considerations
Download PDFThe complete skill that enables autonomous capability generation in Claude Code
Download SkillOriginal markdown version of the paper for easy reading and modification
Download MDAgents evolve from generalists to specialists, accumulating domain-specific skills through experience.
Stop re-explaining procedures. After the first pattern emerges, skills are created autonomously.
Skills stack and compose in ways not explicitly designed. Novel combinations emerge from usage.
In shared environments, all agents benefit from accumulated expertise. Knowledge compounds over time.
Autonomous capability generation introduces legitimate considerations. We've built in several mitigation approaches:
This research emerged from experiments at EarthPilot.ai exploring autonomous capability generation in AI systems. We're grateful to Anthropic for creating the Skills architecture that enables this research.
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