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@agentskit/skills

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@agentskit/skills

Ready-made skills (prompts + behavioral instructions) for AgentsKit agents.

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0.8.15
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@agentskit/skills

AgentsKit

Pre-tuned agent personas that work out of the box — skills are what your agent IS, tools are what it CAN DO.

npm version npm downloads bundle size license stability GitHub stars

Tags: ai · agents · llm · agentskit · ai-agents · autonomous-agents · prompts · prompt-engineering · personas · multi-agent

How this fits the ecosystem

@agentskit/skills packages reusable agent behavior: prompts, personas, task patterns, and marketplace-ready capabilities.

  • AgentsKit: compose it with the other packages in this repo to build agents from small, swappable parts.
  • Registry: look for ready agents and templates that already use this layer at registry.agentskit.io.
  • Playbook: learn the production patterns behind this layer at playbook.agentskit.io.
  • AKOS: run the same concepts with enterprise deployment, governance, and observability at akos.agentskit.io.

Docs: package guide · agent handoff

Why skills

  • Skip prompt engineeringresearcher, coder, planner, critic, and summarizer are battle-tested behavioral profiles; activate one and your agent immediately behaves like a specialist
  • Composable by design — combine skills with composeSkills to merge prompts, tools, and delegates; build a research-and-code pipeline in one line
  • Multi-agent delegation built in — the planner skill knows how to coordinate researcher and coder as sub-agents, so you get multi-agent workflows without writing orchestration code
  • Extend without starting over — override just systemPrompt or temperature on top of an existing skill via @agentskit/templates

Install

npm install @agentskit/skills

Quick example

import { createRuntime } from '@agentskit/runtime'
import { anthropic } from '@agentskit/adapters'
import { researcher, coder, composeSkills } from '@agentskit/skills'
import { webSearch, filesystem } from '@agentskit/tools'

const runtime = createRuntime({
  adapter: anthropic({ apiKey: process.env.ANTHROPIC_API_KEY, model: 'claude-sonnet-4-6' }),
  tools: [webSearch(), ...filesystem({ basePath: './workspace' })],
})

const result = await runtime.run('Research best practices for TypeScript error handling and write an example', {
  skill: composeSkills(researcher, coder),
})
console.log(result.content)

Features

  • Built-in skills: researcher, coder, planner, critic, summarizer, codeReviewer, prReviewer, sqlGen, dataAnalyst, translator
  • composeSkills(...skills) — merge system prompts and behavioral defaults
  • Skill contract v1 (ADR 0005): { name, description, systemPrompt }
  • Works with @agentskit/runtime, useChat, and the CLI --skill flag
  • Fork and override with @agentskit/templates createSkillTemplate

Ecosystem

PackageRole
@agentskit/runtimecreateRuntime, skill option
@agentskit/toolsTools skills orchestrate
@agentskit/adaptersLLM backends
@agentskit/templatescreateSkillTemplate, scaffold

Contributors

AgentsKit contributors

License

MIT — see LICENSE.

Docs

Full documentation · GitHub

Keywords

agentskit

FAQs

Package last updated on 13 Jul 2026

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