AC tts
Use this skill whenever the user wants to convert text to speech, generate audio from text, create voiceovers, or produce spoken audio files. Triggers include: any mention of 'text to speech', 'TTS', 'read aloud', 'voice synthesis', 'generate speech', 'voiceover', 'narration audio', 'speak this text', or requests to turn written content into an audio/MP3 file. Also use when the user wants to pick a voice, adjust speech emotion/style, change speech rate or pitch, or compare TTS providers (Azure, Volcengine, Edge). If the user asks to 'make an audio version' of any text, 'record' a script, or produce '.mp3' output from text, use this skill. Do NOT use for speech-to-text, audio transcription, music generation, or sound effects.
As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 58/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 40Consistency. Frontmatter name (tts) differs from the folder (tts-api)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Failures and branches. 4 branches
- 100Steps. 12 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 989 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 734: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.