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tts-voice-synthesis

影片与视频编辑、内容创作者在制作视频配音或有声书时,当需要克隆音色、生成情感化配音或流式实时语音合成请用此技能。支持1.7B高质量与0.6B快速双模型,一键实现多语言方言配音,让语音创作更高效更自然。

64

Quality

77%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/tts-voice-synthesis/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

Well-structured content with executable examples and clean one-level-deep reference navigation. The main weakness is mild verbosity and trivial procedural framing that could be trimmed.

Suggestions

Trim obvious filler steps (e.g. "确认待合成的文本内容") and de-duplicate the reference-audio guidance between 模式二 and 注意事项.

Make validation concrete with an executable check (e.g. inspect output duration/SNR or a playback command) instead of qualitative "检查…质量".

Inline the exact CLI args into each mode's steps rather than relying solely on the 使用示例 section, so the procedural flow is self-contained.

DimensionReasoningScore

Conciseness

Mostly structured and free of basic-concept padding, but includes trivial step framing ("确认待合成的文本内容") and repeats guidance (clear/no-noise reference audio restated in both 模式二 and 注意事项), so it could be tightened.

3 / 5

Actionability

The 使用示例 section gives copy-paste-ready argparse commands for the four common cases and names specific scripts, though the per-mode procedural steps stay high-level (e.g. "根据情绪分析结果自动设置语音参数" without exact args).

4 / 5

Workflow Clarity

Each mode has a clearly numbered sequence with verify-and-retry checkpoints (验证输出…如有需要,调整参数重新生成); validation is qualitative rather than a concrete command and not every mode has an explicit verify loop.

4 / 5

Progressive Disclosure

Body is a concise overview with a dedicated 资源索引 section signaling one-level-deep references (model_config.md, emotion_guide.md, usage_examples.md) and scripts, all of which exist as real standalone files rather than nested pointers.

5 / 5

Total

16

/

20

Passed

Description

83%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description that explicitly states capabilities and an explicit trigger clause with concrete scenarios. It would score higher with less promotional fluff and tighter natural-language triggers.

Suggestions

Remove promotional filler like "一键实现…让语音创作更高效更自然" and replace with another concrete capability.

Soften technical jargon ("流式实时语音合成") toward phrases a user would naturally say, e.g. "实时配音".

Add file-extension or output-format triggers (e.g. ".wav", "生成音频文件") to broaden natural keyword coverage.

DimensionReasoningScore

Specificity

Names several concrete actions — "克隆音色", "生成情感化配音", "流式实时语音合成", "多语言方言配音" — covering the domain well, but "一键实现…让语音创作更高效更自然" is promotional fluff that keeps it just short of fully comprehensive.

4 / 5

Completeness

Explicitly answers both what (clone/emotional/streaming/multilingual synthesis, dual 1.7B/0.6B models) and when ("影片与视频编辑、内容创作者在制作视频配音或有声书时…请用此技能") with a concrete trigger clause.

5 / 5

Trigger Term Quality

Includes natural scenario phrases users would say ("制作视频配音", "有声书", "克隆音色", "配音") with good coverage, though "流式实时语音合成" leans technical and some natural synonyms are missing.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear TTS/voice-cloning niche with specific triggers (voice cloning, streaming synthesis, dialect dubbing); minor overlap risk with broader audio/video editing skills from the "视频配音" and "内容创作者" framing.

4 / 5

Total

17

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
anbeime/skill
Reviewed

Table of Contents

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