AgentSkills.org

Skill registry, decomposition, and LoRA building for coding agents.

Overview

AgentSkills.org provides a framework for extracting, publishing, and building LoRA adapters from recurring skill patterns in agent traces. Think of it as a package manager for agent capabilities.

Installation

pip install agent-skills

Quick Start

Install a Skill

askill install debug
askill install edit
askill list

Extract Skills from Traces

askill decompose traces.jsonl --min-occurrences 3

Build LoRA Adapters

askill build traces.jsonl --base-model Qwen/Qwen2.5-14B --output-dir output/lora

Programmatic Usage

from agent_skills import SkillRegistry, SkillDecomposer
from agent_skills.lora_builder import build_lora

# Install and list skills
registry = SkillRegistry()
registry.install("debug")
skills = registry.list_skills()

# Extract skills from traces
decomposer = SkillDecomposer(min_occurrences=3)
skills = decomposer.extract_skills_from_trace("traces.jsonl")
clusters = decomposer.cluster_skills()

# Build LoRA adapters from skill clusters
for cluster in clusters:
    adapter = build_lora(cluster, base_model="Qwen/Qwen2.5-14B")
    print(f"Built: {adapter.name} with {adapter.num_examples} examples")

Built-in Skills

Skill YAML Format

name: debug
version: "1.0.0"
description: "Diagnose and fix errors in code"
category: "core"
tools:
  - read
  - bash
  - grep
triggers:
  - "fix the bug"
  - "debug this error"
author: "your-name"
license: "MIT"
tags:
  - debugging
  - error-recovery

License

MIT

Ecosystem

Part of the FableForge ecosystem — 21 open-source projects built from 210K real agent traces: