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Pronunciation Coach

Pronunciation coaching with real voice analysis using Azure Speech Services. Analyzes audio files for phoneme-level accuracy, fluency, prosody, and intonatio...

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High Signal

Pronunciation coaching with real voice analysis using Azure Speech Services. Analyzes audio files for phoneme-level accuracy, fluency, prosody, and intonatio...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, references/phoneme-guide.md, scripts/pronunciation-assess.sh, scripts/pronunciation-report.js, skill.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.4

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

Pronunciation Coach

Analyze spoken English pronunciation using Azure Speech Services and provide actionable coaching feedback. Privacy Note: This skill reads local voice messages from ~/.openclaw/media/inbound/ and transmits them to Microsoft Azure Speech Services for processing.

Prerequisites

Azure Speech API Key: Set AZURE_SPEECH_KEY env var Azure Speech Region: Set AZURE_SPEECH_REGION env var (e.g., southeastasia) ffmpeg: Required for audio format conversion (must be on PATH) Node.js: Required for report generation

1. Receive Audio

Voice messages from Telegram are stored in ~/.openclaw/media/inbound/. Find the latest .ogg file matching the message timestamp. ls -lt ~/.openclaw/media/inbound/*.ogg | head -5

2. Run Assessment

scripts/pronunciation-assess.sh <audio_file> "<reference_text>" audio_file: Path to the voice message (ogg/wav/mp3/m4a) reference_text: What the speaker intended to say (from transcript) The script auto-converts any format to WAV 16kHz mono

3. Generate Report

Pipe the JSON output into the report generator: scripts/pronunciation-assess.sh audio.ogg "reference text" | node scripts/pronunciation-report.js The report includes: Overall scores (Pronunciation, Accuracy, Fluency, Prosody, Completeness) Word-by-word breakdown with per-phoneme scores Problem sounds highlighted Verdict with actionable next steps

4. Provide Coaching

After generating the report: Send the text report to the user (scores + word breakdown) Identify top 3 problem sounds from the phoneme scores Explain each problem β€” what the correct sound is and how to produce it See references/phoneme-guide.md for phoneme descriptions and fixes Send a voice message (via TTS) demonstrating the correct pronunciation of problem words Assign practice β€” give the user specific sentences to re-record focusing on weak sounds

Coaching Tips

Scores β‰₯ 90: Excellent, minor polish Scores 70-89: Good, targeted practice needed Scores < 70: Needs focused drill on that specific sound "Omission" errors mean the word wasn't detected β€” speaker may have been too quiet or mumbled Prosody score < 85 suggests monotone delivery β€” coach on intonation rises/falls Compare scores across multiple recordings to track improvement

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs2 Scripts1 Config
  • SKILL.md Primary doc
  • references/phoneme-guide.md Docs
  • scripts/pronunciation-assess.sh Scripts
  • scripts/pronunciation-report.js Scripts
  • skill.json Config