piper

Convert text to speech using Piper TTS. This skill is triggered when the user says things like "convert text to speech", "text to audio", "read this aloud", "create audio from text", "generate speech from text", "make an audio file from this text", or "use piper TTS".

Zur Installation springen

Repository: SecKatie/katies-ai-skills
Letzte Quellaktivität: 20. Dezember 2025 um 02:30
Erkannte Sprache von SKILL.md: Englisch
Sterne: 1
Forks: 1

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.

npx skills add https://github.com/SecKatie/katies-ai-skills --skill piper

Der Befehl bleibt in einer Zeile. Scrollen Sie horizontal, um ihn vor dem Kopieren vollständig zu prüfen.

Sie bevorzugen eine lokale Kopie? Laden Sie die Dateien herunter, die SkillsMP derzeit vorliegen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer

2 Dateien

SKILL.md

Quellanweisungen · Schreibgeschützte Vorschau

Zurück zur Suche Zurück zur Installation

llm

Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when the user says things like "run a prompt with llm", "use the llm command", "call an LLM from the command line", "set up llm API keys", "install llm plugins", "create embeddings", or "extract structured data from text".

2026-02-12

parakeet

Convert audio files to text using parakeet-mlx, NVIDIA's Parakeet automatic speech recognition model optimized for Apple's MLX framework. Run via uvx for on-device speech-to-text processing with high-quality timestamped transcriptions. Ideal for podcasts, interviews, meetings, and other audio content. This skill is triggered when the user says things like "transcribe this audio", "convert audio to text", "transcribe this podcast", "get text from this recording", "speech to text", or "transcribe this wav/mp3/m4a file".

2026-02-12

yt-dlp

Download audio and video from thousands of websites using yt-dlp. Feature-rich command-line tool supporting format selection, subtitle extraction, playlist handling, metadata embedding, and post-processing. This skill is triggered when the user says things like "download this video", "download from YouTube", "extract audio from video", "download this playlist", "get the mp3 from this video", "download subtitles", or "save this video locally".

2026-02-12

Alle aus diesem Repository ansehen

# Check if input is a file
if [[ -f "$input" ]]; then
  input_type="file"
  extension="${input##*.}"
else
  input_type="text"
fi

python3 /Users/katiemulliken/Documents/Projects/kmtools/piper/clean_obsidian_for_tts.py "$input" -o "${input%.md}_clean.txt" --stats

# From cleaned/text file
/Users/katiemulliken/.local/bin/piper \
  -m ~/piper-voices/${voice}.onnx \
  -i "$cleaned_input" \
  -f "$output" \
  --length-scale $speed \
  --sentence-silence $sentence_silence \
  --volume $volume

# From literal text
echo "$text" | /Users/katiemulliken/.local/bin/piper \
  -m ~/piper-voices/${voice}.onnx \
  -f "$output" \
  --length-scale $speed \
  --sentence-silence $sentence_silence \
  --volume $volume

# Check file exists and has content
if [[ -f "$output" && -s "$output" ]]; then
  echo "Audio generated: $output"
  # Get duration using ffprobe if available
  ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "$output" 2>/dev/null
fi

![[The Converted Audio File.wav]]

# Step 1-2: Clean markdown
python3 /Users/katiemulliken/Documents/Projects/kmtools/piper/clean_obsidian_for_tts.py "article.md" -o "article_clean.txt" --stats

# Step 3: Generate audio
/Users/katiemulliken/.local/bin/piper \
  -m ~/piper-voices/en_US-amy-medium.onnx \
  -i "article_clean.txt" \
  -f "article.wav" \
  --length-scale 0.67 \
  --sentence-silence 0.3

echo "Hello, this is a test." | /Users/katiemulliken/.local/bin/piper \
  -m ~/piper-voices/en_US-amy-medium.onnx \
  -f "output.wav"

for file in *.md; do
  python3 /Users/katiemulliken/Documents/Projects/kmtools/piper/clean_obsidian_for_tts.py "$file" | \
    /Users/katiemulliken/.local/bin/piper \
      -m ~/piper-voices/en_US-amy-medium.onnx \
      -f "${file%.md}.wav" \
      --length-scale 0.67 \
      --sentence-silence 0.3
done

Error	Cause	Resolution
`command not found: piper`	piper not in PATH	Use full path: `/Users/katiemulliken/.local/bin/piper`
`Model file not found`	Missing .onnx file	Verify voice exists in `~/piper-voices/`
`Config file not found`	Missing .onnx.json	Download matching config file
`Input file not found`	Invalid input path	Check file path exists

cd ~/piper-voices
# Download model and config (example: lessac voice)
curl -L "https://huggingface.co/rhasspy/piper-voices/resolve/v1.0.0/en/en_US/lessac/medium/en_US-lessac-medium.onnx" -o en_US-lessac-medium.onnx
curl -L "https://huggingface.co/rhasspy/piper-voices/resolve/v1.0.0/en/en_US/lessac/medium/en_US-lessac-medium.onnx.json" -o en_US-lessac-medium.onnx.json

Parameter	Type	Required	Default	Description
`input`	string	Yes	-	Path to input file (.md or .txt) or literal text
`output`	string	Yes	-	Path to output .wav file
`voice`	string	No	`en_US-amy-medium`	Voice model name (see Available Voices)
`speed`	float	No	`0.67`	Speech speed (0.5=slow, 0.67=1.5x, 1.0=normal, 1.5=fast)
`sentence_silence`	float	No	`0.3`	Seconds of silence between sentences
`volume`	float	No	`1.0`	Volume multiplier

Parameter	Type	Required	Default	Description
`input`	string	Yes	-	Path to input file (.md or .txt) or literal text
`output`	string	Yes	-	Path to output .wav file
`voice`	string	No	`en_US-amy-medium`	Voice model name (see Available Voices)
`speed`	float	No	`0.67`	Speech speed (0.5=slow, 0.67=1.5x, 1.0=normal, 1.5=fast)
`sentence_silence`	float	No	`0.3`	Seconds of silence between sentences
`volume`	float	No	`1.0`	Volume multiplier

piper

Installationsoptionen

Quelldateien prüfen

Piper Text-to-Speech Workflow

Parameters

Available Voices

Piper Text-to-Speech Workflow

Parameters

Available Voices

Workflow

Step 1: Validate Input

Step 2: Clean Markdown (if applicable)

Step 3: Generate Audio

Step 4: Verify Output

Step 5: Link Audio to Original

Complete Examples

Markdown to Audio (Default Settings)

Text to Audio (One-liner)

Batch Process Directory

Error Handling

Adding Voices

name	piper
description	Convert text to speech using Piper TTS. This skill is triggered when the user says things like "convert text to speech", "text to audio", "read this aloud", "create audio from text", "generate speech from text", "make an audio file from this text", or "use piper TTS".

piper

Quellinformationen

Installationsoptionen

Quelldateien prüfen

Mehr aus diesem Repository

Piper Text-to-Speech Workflow

Parameters

Available Voices

Piper Text-to-Speech Workflow

Parameters

Available Voices

Workflow

Step 1: Validate Input

Step 2: Clean Markdown (if applicable)

Step 3: Generate Audio

Step 4: Verify Output

Step 5: Link Audio to Original

Complete Examples

Markdown to Audio (Default Settings)

Text to Audio (One-liner)

Batch Process Directory

Error Handling

Adding Voices

Mehr aus diesem Repository