Token导航 LogoToken导航TokenDH.com
效率需要联网clawhub未标认证来源可访问clear审计通过

duolingoduolingo 搜索

Agent Skill

duolingo 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,313

周安装

503

GitHub Stars

1

下载量

3,944
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:duolingo(duolingo 搜索)
来源仓库:https://github.com/ivangdavila/duolingo
安装命令:
openclaw skills install duolingo
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install duolingo

简介

运行类似于 Duolingo 的多主题学习系统,具有 AGENTS 路由、课程循环、条纹和间隔复习。

SKILL.md

name
Duolingo Learning OS
slug
duolingo
version
1.0.0
homepage
https://clawic.com/skills/duolingo
description
Run a Duolingo-like multi-topic learning system with AGENTS routing, lesson loops, streaks, and spaced review.
changelog
Reworked into a full Duolingo-style learning system with topic routing, multi-topic tracks, and persistent lesson operations.
metadata
{"clawdbot":{"emoji":"D","requires":{"bins":[],"config":["~/duolingo/"]},"os":["linux","darwin","win32"],"configPaths":["~/duolingo/"]}}

Setup

On first use, read setup.md for routing, filesystem bootstrap, and topic activation.

When to Use

User wants to learn one or more subjects with short daily lessons, instant feedback, streak pressure, and ongoing review. Agent runs a Duolingo-style operating system (not just advice) with topic folders, per-topic curriculum, cross-topic planning, and optional AGENTS router integration.

Architecture

State lives in ~/duolingo/. See memory-template.md for global state and per-topic file templates.

~/duolingo/
|-- memory.md                    # Global status and active topic map
|-- router/
|   |-- topics.md                # Canonical list of active topics and trigger phrases
|   `-- agentsmd-snippet.md      # Snippet to keep AGENTS routing in sync
|-- topics/
|   |-- english/
|   |   |-- profile.md           # Goal, level, pace, constraints
|   |   |-- curriculum.md        # Skill tree and lesson units
|   |   |-- queue.md             # Next lessons and review backlog
|   |   |-- sessions.md          # Session history and outcomes
|   |   `-- checkpoints.md       # Weekly and milestone checks
|   `-- cooking/                 # Same structure for any other topic
`-- archive/                     # Retired topics and old curriculum versions

Quick Reference

TopicFile
Setup flowsetup.md
Global memory templatememory-template.md
Filesystem bootstrapblueprint.md
AGENTS routing rulesactivation-routing.md
Lesson runtime looplesson-loop.md
XP/hearts/streak economyprogression.md
Multi-topic retention opsretention-ops.md
Topic namespace templatestopic-template.md
Weekly health reviewlaunch-scorecard.md

Core Rules

1. Bootstrap the Learning OS Before First Lesson

If ~/duolingo/ is missing or empty, create the full scaffold from blueprint.md. Do not start teaching without:

  • global memory file
  • router files
  • at least one topic namespace

2. Offer Optional AGENTS Router Integration

If the user wants automatic routing, provide the AGENTS router snippet from activation-routing.md. Never auto-edit AGENTS from this skill. Generate snippet text only and let the user apply it. If the user skips router integration, keep the skill fully manual and user-invocable.

3. Keep Each Topic Isolated, Then Coordinate Globally

Every topic gets its own namespace under ~/duolingo/topics/<topic-slug>/. Never mix files across topics. Global planning may schedule multiple topics in one day, but lesson state stays per-topic.

4. Run Lessons as Tight Interactive Loops

Use lesson-loop.md for every session:

  1. micro-challenge
  2. learner attempt
  3. immediate correction
  4. reinforcement challenge
  5. queue update

One loop should finish in about 60-90 seconds.

5. Support Concurrent Tracks Without Context Loss

User can learn multiple topics at once (for example English and cooking). For each session, select one active topic, load only that namespace, then update global planner with:

  • completion result
  • next due lesson
  • next review date

6. Use a Transparent Progression Economy

Apply XP, hearts, streaks, and mastery rules from progression.md. Rewards must reflect demonstrated learning, not random activity. When motivation drops, adjust pacing before adding gamification complexity.

7. Prioritize Retention and Review Over New Content Volume

Follow retention-ops.md and launch-scorecard.md weekly. A healthy system always knows:

  • what to review now
  • what to practice next
  • why the learner did or did not return

Common Traps

  • Storing all subjects in one shared file -> topic collisions and broken continuity
  • Activating without AGENTS router update -> skill never triggers when user asks to learn
  • Adding many lessons before review queues exist -> fast forgetting and fake progress
  • Running long lectures instead of micro-loops -> weak engagement and poor retention
  • Using streak pressure without recovery path -> churn after one missed day
  • Tracking only XP and ignoring checkpoint quality -> progress appears good while skill depth is low

Security & Privacy

Data that stays local:

  • Learning state in ~/duolingo/
  • Topic curriculum, attempts, and review queues

This skill does NOT:

  • Send data to external services
  • Access files outside ~/duolingo/ unless user asks explicitly
  • Modify its own SKILL.md

Related Skills

Install with clawhub install <slug> if user confirms:

  • learning - Teaching and explanation tactics per learner profile
  • english - Language-specific practice patterns for one common track
  • course - Curriculum decomposition and sequence planning
  • retention - Habit systems and comeback mechanics
  • coach - Accountability prompts and progress reflection

Feedback

  • If useful: clawhub star duolingo
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

70.91%
按下载量换算2,797

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills