刻意练习-peak

刻意练习-peak is a skill for Claude Code, Codex from muyuhill/100books-to-skills. It costs 49 tokens per session (3,214 once invoked), scanned A, original, MIT.

A method for improving a skill through focused practice, specific goals, immediate feedback, and challenges just beyond your current ability.

In plain words
What is it for?
Use it to design a learning routine, overcome a skill plateau, and improve performance in areas such as programming, music, sport, or study.
Why use it?
It replaces automatic repetition with practice that reveals weaknesses and deliberately works on them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to design a learning routine, overcome a skill plateau, and improve performance in areas such as programming, music, sport, or study.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/muyuhill/100books-to-skills/peak
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add muyuhill/100books-to-skills --skill peak
Clone the repo
git clone --depth 1 https://github.com/muyuhill/100books-to-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for 刻意练习-peak

README.md
[![agentmods](https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/peak/github.svg)](https://agentmods.dev/skills/muyuhill/100books-to-skills/peak)
Your own site
<a href="https://agentmods.dev/skills/muyuhill/100books-to-skills/peak"><img src="https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/peak/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for 刻意练习-peak

Your own site · 80×15
<a href="https://agentmods.dev/skills/muyuhill/100books-to-skills/peak"><img src="https://agentmods.dev/badge/skills/muyuhill/100books-to-skills/peak.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,214 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.03214
Opus 5 $0.00024 $0.01607
Sonnet 5 $0.00010 $0.00643
Haiku 4.5 $0.00005 $0.00321

Measured 12d ago against content hash b446495bc847, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

刻意练习-peak scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/刻意练习-peak/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

《刻意练习》— 天才不是天生的,是「练」出来的

一句话核心

「天才」不是基因彩票,而是正确方法 × 持续投入的产物。 安德斯·艾利克森(Anders Ericsson)通过三十年的科学研究证明:顶级表现的关键不是练习的「时长」,而是练习的「质量」——即刻意练习(Deliberate Practice)


一、刻意练习 vs 天真练习:一万小时定律的致命误读

马尔科姆·格拉德威尔(Malcolm Gladwell)在《异类》中提出的「一万小时定律」让全世界记住了「一万小时」这个数字,但也造成了严重的误解:

天真练习(Naive Practice) 刻意练习(Deliberate Practice)
目标 模糊,「我要变好」 具体,「今天要把第三小节的速度提到120bpm」
注意力 自动驾驶,边练边走神 极度专注,每一分钟都在主动思考
反馈 没有或很少 即时、具体、可操作
舒适区 重复已经会的东西 持续挑战刚好超出当前能力的边界
结果 平台期,十年如一日 持续进步,不断突破天花板

关键洞察:开了二十年车的老司机,驾驶水平未必比开了五年的司机高。因为开车很快变成「自动化」行为——一旦自动化,练习就停止了,剩下的只是重复。真正的练习发生在「自动化」之前的那段有意识的、不舒服的、需要全神贯注的时光里。

如何判断自己是在刻意练习还是天真练习? 问自己一个问题:「练完后我是感到精力充沛(因为巩固了已有能力),还是感到精神疲惫(因为一直在挑战边界)?」 如果是前者,你可能只是在享受练习,而不是在进步。


二、心理表征(Mental Representation):高手大脑里的「高清地图」

艾利克森发现,顶尖高手和普通人的核心差异在于**心理表征(Mental Representation)**的质量。

什么是心理表征? 它是大脑中与某个技能、概念或情境相对应的心理结构——可以理解为一张大脑里的「地图」

  • 国际象棋大师:看到棋盘上的残局,不是一个个孤立的棋子,而是瞬间识别出「这是1987年卡斯帕罗夫对卡尔波夫第三局的第27步后的局面」,并自动激活相关的策略模式。
  • 小提琴家:在拉出一个音之前,大脑中已经「预听」到了这个音的准确音高、音色和情感表达,然后用手去匹配心中的那个声音。
  • 程序员:看到一个需求,脑子里自动浮现出数据流、模块边界和潜在边界情况,而不是从零开始思考。

心理表征的三个层次

  1. 模式识别:在复杂信息中快速识别有意义的模式(专家看 X 光片一眼发现病灶,新手只能看到灰色阴影)
  2. 信息组织:将大量信息组织成有意义的「组块」(chunk),从而突破工作记忆的限制(普通人一次记 7 个数字,高手通过组块化可以记几十个)
  3. 预判与规划:基于当前状态,在脑中模拟多种可能的未来走向并选择最优路径

核心循环:更好的心理表征 → 更有效的练习 → 更精细的心理表征。这是一个自我强化的良性循环。所以高手和普通人的差距不是线性缩小,而是指数级拉大。


三、刻意练习的四要素

艾利克森将刻意练习的操作框架提炼为四个必不可少的要素:

1. 明确的目标(Specific Goal)

不是「我要提高写作水平」,而是「我要在接下来两周内,每天写 500 字,并且确保每个段落的第一句话都能让读者想读第二句」。好的练习目标必须具体到可以验证——练完了你知道自己做到还是没有做到。

2. 极度专注(Intense Focus)

刻意练习在生理上是「不舒服」的。研究发现,顶尖音乐家每天只能进行 3-5 小时的高质量刻意练习,再多大脑就无法维持专注。质量远大于数量。如果你练着练着开始「自动驾驶」,要么停下来休息,要么加大难度让自己重新需要专注。

3. 即时反馈(Immediate Feedback)

没有反馈的练习是盲目的。反馈可以来自:

  • 导师/教练(最佳)
  • 客观指标(速度、准确率、分数)
  • 自我监控(录音/录像回看自己的表现)
  • 同行对比(和高手做同一道题后对比思路差异)

关键:反馈必须即时——间隔太久,大脑无法把反馈和当时的具体行为联系起来。

4. 走出舒适区(Beyond Comfort Zone)

如果练习让你感到舒服、流畅、游刃有余,那你没有在进步。刻意练习发生在「学习区」——刚好超出当前能力边界,你能磕磕绊绊地完成,但需要全力以赴。太简单(舒适区)= 零成长,太难(恐慌区)= 无效崩溃。

Read the full file on GitHub · 190 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 190 lines · 49 tokens per session scan A b446495bc847

Subscribe to this mod's changes

刻意练习-peak is a skill published in the GitHub repository muyuhill/100books-to-skills (12 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 3,214 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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