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chess-coach国际象棋教练

Agent Skill

chess-coach 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

3,648

周安装

152

GitHub Stars

公开资料未说明

下载量

1,216
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:chess-coach(国际象棋教练)
来源仓库:https://github.com/twharmon/chess-coach
安装命令:
openclaw skills install chess-coach
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 chess-coach

简介

chess-coach 是基于 Chess.com 数据的互动国际象棋教练工具。

  • 适合监控用户进度并分析游戏以匹配技能水平提供建议。
  • 支持历史对局复盘与针对性训练方案生成。
  • 安装命令为 openclaw skills install chess-coach,需授权账户访问权限。
  • 注意隐私保护与数据使用范围,避免泄露个人棋谱信息。

SKILL.md

name
chess-coach
description
Interactive chess coaching based on Chess.com games and stats. Monitors a user's progress, analyzes recent games according to their skill level, and offers personalized advice. Use when the user wants to improve their chess, check their current rating/stats, or receive feedback on their games.

Chess Coach

This skill helps you improve your chess game by monitoring your Chess.com profile and offering advice tailored to your skill level.

Features

  • Profile Tracking: Connect your Chess.com username and track stats across formats (Blitz, Bullet, Rapid).
  • Recent Game Analysis: Analyze your most recent games and identify coaching opportunities.
  • Skill-Level Calibration: Automatically Adjusts advice based on your current rating.

Workflows

1. Setup

When a user mentions chess or improving their game for the first time:

  1. Ask for their Chess.com username.
  2. Use scripts/chess_api.py <username> stats to fetch their rating and stats.
  3. Store the username and their preferred formats (Blitz, Bullet, Rapid) in memory/chess_state.json.

2. Monitoring & Analysis

Periodically or upon request:

  1. Fetch recent games using scripts/chess_api.py <username> games.
  2. Compare the game list against memory/chess_state.json to ensure no games are analyzed twice.
  3. Daily Budget: Only analyze one game per 24-hour period unless specifically requested.
  4. If new games exist, pick the most relevant one (e.g., a loss where the rating gap was small) and analyze it.
  5. Observation Logging: Instead of just giving a one-off tip, log the core mistake or pattern (e.g., "Missed pin on d-file", "Weakened back rank") to memory/chess_observations.jsonl.
  6. Consult references/skill_levels.md for coaching focus based on the user's current rating.
  7. Provide 2-3 actionable points. Keep it punchy and encouraging.

3. Synthesis (The "Grand Lesson")

Once per week, or when memory/chess_observations.jsonl reaches 5+ entries:

  1. Review the logged observations to find recurring themes.
  2. Identify the single "highest ROI" area for improvement (e.g., "You lose 40% of games due to early Queen excursions").
  3. Present this as a dedicated "Coaching Review" session.

Example

"I see you've played 10 Blitz games since we last talked. In your game against 'Grandmaster123', you missed a simple fork on the f2 square! At your current rating (850), focusing on basic tactics like these will help you reach 1000 fast."

Resources

  • scripts/chess_api.py: Interacts with the Chess.com public API.
  • references/skill_levels.md: Provides guidance on coaching priorities by rating bracket.
  • memory/chess_state.json: Store the user's username, preferred formats, and the ID of the last analyzed game.

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

97.56%
按下载量换算1,186

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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

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