CtrlK
BlogDocsLog inGet started
Tessl Logo

infinitetalk-shopping-avatar

专为InfiniteTalk项目设计的小省导购员数字人带货提示词生成技能,基于四大智能体协同(提示词生成师、质量管控师、知识库运维师、跨环节适配师),生成适配Image-to-Video模式的结构化提示词(角色固定特征+动作时序+场景环境+音频匹配+光影氛围+技术约束),支持9:16竖屏、5s/幕、音频同步(Suno+chinese-wav2vec2-base)、一致性管控(角色/视觉/情绪),直接对接模型推理流程

58

Quality

68%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/infinitetalk-shopping-avatar/infinitetalk-shopping-avatar/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

70%

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

The body has a clear sequenced workflow with an explicit validation/retry loop and well-signaled, real one-level references, but it is verbose due to duplicated agent-role descriptions and keeps the concrete prompt templates in bundle files, leaving the body's generative guidance at the structural level.

Suggestions

Remove the duplicated 四大智能体角色职责 section (or the inline role descriptions in 操作步骤) so each agent is defined once, cutting roughly 20 lines of redundancy.

Inline a single complete worked five-act prompt example (or one fully fleshed act) so the body offers copy-paste-ready scaffolding instead of only structural requirements.

Collapse 使用示例 into a pointer to assets/examples/sample-prompts-infinitetalk.md to avoid restating the workflow, further improving conciseness.

DimensionReasoningScore

Conciseness

The body is mostly operational and avoids explaining basic concepts Claude already knows, but it repeats the four agent roles twice (in the 操作步骤 workflow and again in the 四大智能体角色职责 section) and the 使用示例 section restates the workflow, so it could be tightened. It is not 3 due to this redundancy; it is not 1 because it is not padded with generic concept explanations.

2 / 3

Actionability

Concrete parameter-level guidance is present (1080×1920, 9:16, 5s/幕精确到秒, 色温4000K-5500K, 16kHz单声道wav) and each act's required components are itemized, but the actual prompt templates, character fixed-feature text, and scene templates live in the referenced bundle files rather than inline, leaving key generative detail external. It is not 3 because copy-paste-ready prompt scaffolding is not in the body; it is not 2-below because structural and parameter guidance is specific and actionable.

2 / 3

Workflow Clarity

The process is explicitly sequenced (提示词生成 → 质量核查 → 知识库归档 → 跨工具集成) with an explicit validation checkpoint: '通过(pass)…不通过(fail):生成问题清单,反馈给提示词生成师调整(最多2次)' is a validate→fix→retry feedback loop. It is not 2 because validation and the retry gate are explicit, not implicit.

3 / 3

Progressive Disclosure

The body is an overview with a dedicated 资源索引 section giving '何时读取' navigation cues for each bundle file, all six referenced paths (5 in references/, 1 in assets/examples/) exist, and references are one level deep. It is not 2 because navigation is clearly signaled and files are real and well-split; not below because there is no deep nesting.

3 / 3

Total

10

/

12

Passed

Description

67%

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

The description is highly specific and clearly niche-bound, but lacks an explicit 'Use when' trigger clause and leans heavily on internal technical jargon rather than natural user phrasing. Completeness and trigger-term quality are the main weaknesses.

Suggestions

Add an explicit trigger clause, e.g. 'Use when generating 小省导购员 livestream product-promotion prompts for InfiniteTalk inference,' to satisfy the 'when' half of completeness.

Lead with natural user-facing terms (带货视频提示词, 导购数字人, 产品推荐分镜) before the technical stack (Image-to-Video, chinese-wav2vec2-base) so the description reads as something a user would actually say.

Trim low-value jargon (TeaCache, int8量化) from the description and move it into the body or references to reduce noise for trigger matching.

DimensionReasoningScore

Specificity

The description enumerates multiple concrete components and parameters — '角色固定特征+动作时序+场景环境+音频匹配+光影氛围+技术约束', '9:16竖屏、5s/幕', 'Suno+chinese-wav2vec2-base', '一致性管控(角色/视觉/情绪)' — matching the anchor for listing several specific concrete actions. It is not score 2 because it goes well beyond naming only a domain and some actions; the capabilities are itemized with explicit technical detail.

3 / 3

Completeness

It clearly answers 'what' (generates structured prompts for the shopping-avatar livestream video and integrates with model inference), but provides no explicit 'Use when...' clause or equivalent trigger guidance, so 'when' is only implied. Per the judging guideline, a missing explicit trigger clause caps completeness at 2; it is not 3 for this reason and not 1 because the 'what' is thoroughly stated.

2 / 3

Trigger Term Quality

Some natural user terms appear ('导购员数字人带货提示词生成', '带货视频'), but the description is dominated by technical jargon users would not naturally say ('Image-to-Video模式', 'chinese-wav2vec2-base', 'TeaCache', 'int8量化'), missing common conversational variations. It is not 3 because coverage of plain natural phrasing is thin and buried under project-internal jargon; it is not 1 because relevant domain keywords are present.

2 / 3

Distinctiveness Conflict Risk

The niche is sharply defined to one project and one persona ('InfiniteTalk项目小省导购员数字人带货提示词生成'), with triggers unlikely to overlap with other skills. It is not 2 because the specificity is far beyond 'somewhat specific but could overlap'; the project- and character-bound scope makes accidental triggering very unlikely.

3 / 3

Total

10

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 1 deeper-than-1-level

Warning

referenced_paths_exist

Referenced path issues: 2 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
anbeime/skill
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.