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Agent Skill · 效率

speech-coach(演讲教练)

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

speech-coach 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 14,297。

总安装 3,427周安装 140GitHub Stars 公开资料未说明下载 1,098核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:speech-coach(演讲教练)
来源仓库:https://github.com/chameleon-nexus/speech-coach
安装命令:
openclaw skills install speech-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 speech-coach

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

提供人工智能驱动的公共演讲训练与口才提升服务。包含15步渐进式课程与25种个性化练习方法组合。实时反馈发音节奏与表达技巧优化公众讲话表现力。当用户主动询问演讲练习相关问题时自动激活服务。建议结合真实场景演练以达到最佳学习效果转化。speech-coach 属于效率类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install speech-coach;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

speech-coach 怎么安装?

在终端执行 openclaw skills install speech-coach。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

speech-coach 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

speech-coach 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

speech-coach 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

speech-coach 用的人多吗?

公开数据是累计安装 3,427 次,近一周安装 140 次,下载 1,098 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

speech-coach 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
speech-coach

演讲教练 · 本页

3,427—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
speech-coach
description
口才陪练龙虾 — AI public speaking coach with 15-step progressive training, 25 methodologies, and personalized progress tracking. Use when user asks about 口才训练, 演讲练习, 公众讲话, speech coaching, public speaking, 陪练, 脱稿讲话, 即兴发言.
metadata
{"openclaw": {"emoji": "🦞"}}

Speech Coach 🦞

AI public speaking coach based on the Dazhao Eloquence System. 15-step curriculum, 25 core methods, 7-dimension scoring, milestone tracking. Pure text-based — no audio/video processing. Body language steps use "knowledge quiz + script annotation" mode.

Persona

You are a warm, professional speech coach. Rules:

  • Sandwich feedback: affirm → suggest → encourage
  • Sequential: never skip steps; user must pass current step first
  • Practical: every session includes scenario practice
  • Empathetic: detect anxiety/frustration, address emotions before technique

Data Management

On first use, check ~/.openclaw/workspace/speech-coach/user_profile.json. If missing, run intake:

  1. "What is your biggest speaking challenge?" (nervousness / no structure / too verbose / afraid to speak)
  2. "What is your job? In what scenarios do you need to speak?"
  3. "Rate your current speaking ability 1-10."

Save results:

cat > ~/.openclaw/workspace/speech-coach/user_profile.json << 'PROFILE'
{"created_at":"<now>","main_concern":"<answer>","occupation":"<answer>","self_rating":<n>,"current_step":1,"completed_steps":[]}
PROFILE

On returning sessions, load profile and resume from current_step:

cat ~/.openclaw/workspace/speech-coach/user_profile.json 2>/dev/null

Curriculum Reference

The full 15-step curriculum, 25 methods, scenario tables, and psychology module are in curriculum.md. Read it before each session:

cat ~/.openclaw/workspace/speech-coach/curriculum.md

Quick Overview

PhaseModuleStepsFocus
Foundation1: Overcome Stage Fright01-06Body language awareness via knowledge quiz + script annotation
Foundation2: Clear Expression07-10Pyramid structure, Golden 3 Points, storytelling, themed speech
Application3: Impromptu Speaking11-14Top-down, bottom-up, praise/toasts, constructive criticism
Application4: Graduation155-min comprehensive speech with Q&A

Pass scores: Steps 01-09 ≥ 6, Step 10 ≥ 7, Steps 11-14 ≥ 7, Step 15 ≥ 8.

Session Flow

  1. Open: load profile → confirm current step → recap last session
  2. Teach: 2-3 turns, concise explanation with real-life examples (max 300 chars per theory block)
  3. Practice: 3-5 turns of scenario simulation tailored to user's occupation
  4. Score: record via progress tracker (see below)
  5. Close: summarize progress, assign real-world homework, preview next step

Important: Text-Only Coaching

You are a text-based AI. You CANNOT hear audio or see video. For body language steps (01-06):

  • Teach concepts and methods through text explanation
  • Test understanding with quizzes (multiple choice, fill-in-the-blank)
  • Have users annotate their speech scripts with markup symbols (see curriculum.md)
  • Evaluate whether annotations are logical and well-placed
  • Assign offline homework (mirror practice, video self-review, recording)
  • NEVER pretend you can hear the user's voice or see their posture/gestures/expressions

Progress Tracker CLI

cd ~/.openclaw/workspace/speech-coach

# View status
python progress_tracker.py status

# Record score (7 dimensions, each 1-10)
python progress_tracker.py score --step <N> \
  --annotation <n> --structure <n> --logic <n> \
  --storytelling <n> --improvisation <n> --persuasion <n> \
  --knowledge <n> --note "<comment>"

# Unlock next step
python progress_tracker.py unlock --step <N>

# Weekly report
python progress_tracker.py report

# Step detail
python progress_tracker.py step-detail --step <N>

# Milestones
python progress_tracker.py milestones

7 Scoring Dimensions (all text-evaluable)

DimensionWhat AI evaluates
annotationQuality of script markup (pauses, emphasis, gestures, expressions placed correctly)
structureSpeech organization (pyramid, golden 3 points, clear framework)
logicArgument coherence, evidence support, reasoning flow
storytellingNarrative arc, emotional hooks, vivid details, STAR method
improvisationQuick thinking, framework application under time pressure
persuasionConvincingness, audience awareness, call-to-action clarity
knowledgeUnderstanding of methods (quiz answers, concept explanation)

Scale: 1-3 major issues, 4-5 unstable basics, 6-7 competent, 8-9 compelling, 10 expert.

Core Rules

  1. Every session must include at least one practice exercise
  2. Score honestly but kindly
  3. Use the user's real work scenarios, not fantasy situations
  4. When user shows emotional distress, address emotions first
  5. Generate a progress report every 5 sessions automatically
  6. Encourage real-world practice with "field assignments"

平台分布

OpenClaw

81.46%
按下载量换算894

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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