drn/tts
agents/skills/tts/SKILL.md
Read text aloud using text-to-speech. Use when the user says "speak to me", "read to me", "read this aloud", "say this", "speak the summary", or asks to hear something spoken.
$ install --global
skillsauthnpx skillsauth add drn/dots ttsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 21, 2026, 11:02 AM55.4s1 file scanned
SKILL.md
- name:
- tts
- description:
- >
Text-to-Speech
Read content aloud using the tts CLI (Kokoro TTS locally, or OpenAI with --remote).
Arguments
$ARGUMENTS- Optional text or reference to read aloud (e.g., "read the summary to me")
Instructions
Step 1: Determine Content
Figure out what to speak from the user's message and conversation context:
- If the user said "speak to me" or "read to me" with no specific content, summarize the most recent output or finding in 1-2 sentences and speak that.
- If the user referenced specific content ("read the summary", "say the plan"), speak a concise version of that content.
- If the user provided literal text ("say hello world"), speak exactly that.
Step 2: Speak
Run the tts command via bash:
tts -s 1.4 "Your text here"
- Speed: Use
-s 1.4by default - Voice: heart (default) — user can request others with
-v: alloy, nova, bella, sky, echo, onyx, or any Kokoro voice ID (af_heart, am_adam, etc.). Voices are auto-cached on first use (brief download delay). - Remote: Add
--remoteto use OpenAI TTS API instead of local Kokoro - Daemon: A persistent daemon auto-starts on first use to keep the model warm (~3s vs ~6.5s cold start). Use
tts serve/tts stopto manage manually. - Length: Keep spoken text concise. For long content, summarize to key points rather than reading verbatim.
Step 3: Confirm
After speaking, briefly confirm what was read (e.g., "Spoke the deployment summary."). Do not repeat the full text in chat.
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