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@agentskit/skills
Advanced tools
Ready-made skills (prompts + behavioral instructions) for AgentsKit agents.
Pre-tuned agent personas that work out of the box — skills are what your agent IS, tools are what it CAN DO.
Tags: ai · agents · llm · agentskit · ai-agents · autonomous-agents · prompts · prompt-engineering · personas · multi-agent
researcher, coder, planner, critic, and summarizer are battle-tested behavioral profiles; activate one and your agent immediately behaves like a specialistcomposeSkills to merge prompts, tools, and delegates; build a research-and-code pipeline in one lineplanner skill knows how to coordinate researcher and coder as sub-agents, so you get multi-agent workflows without writing orchestration codesystemPrompt or temperature on top of an existing skill via @agentskit/templatesnpm install @agentskit/skills
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)
researcher, coder, planner, critic, summarizercomposeSkills(...skills) — merge system prompts and behavioral defaults{ name, description, systemPrompt }@agentskit/runtime, useChat, and the CLI --skill flag@agentskit/templates createSkillTemplate| Package | Role |
|---|---|
| @agentskit/runtime | createRuntime, skill option |
| @agentskit/tools | Tools skills orchestrate |
| @agentskit/adapters | LLM backends |
| @agentskit/templates | createSkillTemplate, scaffold |
MIT — see LICENSE.
FAQs
Ready-made skills (prompts + behavioral instructions) for AgentsKit agents.
The npm package @agentskit/skills receives a total of 205 weekly downloads. As such, @agentskit/skills popularity was classified as not popular.
We found that @agentskit/skills demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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