AD content-automation
内容创作自动化工具，支持三大核心模式： 【模式A】小红书爆款文案解析+仿写：输入商品类目/关键词，自动分析爆款结构，批量生成同风格文案 【模式B】带货视频脚本批量生成：输入商品链接/名称/卖点，生成完整带货视频脚本（开场勾引→痛点→产品介绍→促单） 【模式C】视频/文章多平台分发改写：输入原始内容或视频字幕，自动改写为小红书/抖音/公众号/B站各平台适配版本 附加功能：爆款标题批量生成、直播话术脚本生成、差评智能回复、商品详情页文案生成 适用场景： - "帮我生成小红书文案，商品是XX"（模式A） - "给这个商品写一个带货视频脚本"（模式B） - "把这篇文章改写成各平台版本"（模式C）
内容创作自动化工具，支持三大核心模式： 【模式A】小红书爆款文案解析+仿写：输入商品类目/关键词，自动分析爆款结构，批量生成同风格文案 【模式B】带货视频脚本批量生成：输入商品链接/名称/卖点，生成完整带货视频脚本（开场勾引→痛点→产品介绍→促单）…
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (content-automation) differs from the folder (yiqi-content-automation)
- 100Tools and files. No external tools needed
- 100Steps. 24 steps
- 100Execution cost. Instruction body is 392 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 298: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 24 items
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.