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Learned Skills

The LearnedSkillStore allows agents to save successful multi-step tool call patterns as reusable skills that can be replayed later.

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How It Works

  1. An agent completes a complex multi-step task successfully
  2. The agent (or your code) saves the sequence of tool calls as a learned skill
  3. Future runs can search and replay the saved skill

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Setup

import { LearnedSkillStore, InMemoryStorage } from "@radaros/core";

const store = new LearnedSkillStore(new MongoDBStorage({ uri: "..." }));

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Saving a Skill

const skill = await store.saveSkill({
  name: "deploy-to-production",
  description: "Build, test, and deploy a service to production",
  steps: [
    { toolName: "run_tests", args: { suite: "all" } },
    { toolName: "build", args: { target: "prod" } },
    { toolName: "deploy", args: { env: "production" } },
    { toolName: "notify_team", args: { channel: "#deployments" } },
  ],
});

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Searching Skills

const results = await store.searchSkills("deploy");
// [{ id: "...", name: "deploy-to-production", ... }]

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Replaying a Skill

const results = await store.replaySkill(
  skill.id,
  runContext,
  async (toolName, args, ctx) => {
    return toolExecutor.execute(toolName, args, ctx);
  },
);

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Agentic Tools

The store exposes tools that agents can use directly: 
const tools = store.getTools();
// Provides: save_skill, search_skills
These tools let the agent autonomously save and search learned skills during conversations.

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Success Tracking

Each skill tracks successCount and failCount. After replaying a skill, the outcome is automatically recorded: 
const skill = await store.getSkill(id);
console.log(skill.successCount); // 5
console.log(skill.failCount);    // 1