Guizang Social Cards
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
Neta API 内容调研与推荐技能——提供关键词/标签/分类建议、分类路径验证以及多模式内容推荐流，支持从宽泛到精确的渐进式探索。当用户没有明确目标、想找创作题材或热门方向，或需要按关键词/分类做系统性内容筛选时使用本技能；不直接生成图片/视频/歌曲（由 neta-creative 负责），社区互动由 neta-community 负责。
Install Neta Suggest
$ npx skills add netaart/neta-skills --skill neta-suggest -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install netaart/neta-skills neta-suggest --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/netaart/neta-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/zh_cn/neta-suggest .claude/skills/neta-suggest && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "neta-suggest" agent skill from https://github.com/netaart/neta-skills/tree/main/skills/zh_cn/neta-suggest into .claude/skills/neta-suggest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neta-suggest", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/netaart/neta-skills/tree/main/skills/zh_cn/neta-suggestType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add netaart/neta-skills --skill neta-suggest -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install netaart/neta-skills neta-suggest --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netaart/neta-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/zh_cn/neta-suggest .agents/skills/neta-suggest && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "neta-suggest" agent skill from https://github.com/netaart/neta-skills/tree/main/skills/zh_cn/neta-suggest into .agents/skills/neta-suggest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neta-suggest", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add netaart/neta-skills --skill neta-suggest -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install netaart/neta-skills neta-suggest --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netaart/neta-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/zh_cn/neta-suggest .cursor/skills/neta-suggest && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "neta-suggest" agent skill from https://github.com/netaart/neta-skills/tree/main/skills/zh_cn/neta-suggest into .cursor/skills/neta-suggest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neta-suggest", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/netaart/neta-skills.git --path skills/zh_cn/neta-suggest--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add netaart/neta-skills --skill neta-suggest -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install netaart/neta-skills neta-suggest --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netaart/neta-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/zh_cn/neta-suggest .gemini/skills/neta-suggest && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "neta-suggest" agent skill from https://github.com/netaart/neta-skills/tree/main/skills/zh_cn/neta-suggest into .gemini/skills/neta-suggest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neta-suggest", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install netaart/neta-skills neta-suggestInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add netaart/neta-skills --skill neta-suggest -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/netaart/neta-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/zh_cn/neta-suggest .github/skills/neta-suggest && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "neta-suggest" agent skill from https://github.com/netaart/neta-skills/tree/main/skills/zh_cn/neta-suggest into .github/skills/neta-suggest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neta-suggest", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add netaart/neta-skills --skill neta-suggest -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install netaart/neta-skills neta-suggest --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/netaart/neta-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/zh_cn/neta-suggest .opencode/skills/neta-suggest && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "neta-suggest" agent skill from https://github.com/netaart/neta-skills/tree/main/skills/zh_cn/neta-suggest into .opencode/skills/neta-suggest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neta-suggest", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
neta-suggest- GitHub stars
- 667
- Token cost
- ~3.1k tokens
- SKILL.md length
- 318 words
- Files
- 1
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- MIT
At a glance
Neta API 内容调研与推荐技能——提供关键词/标签/分类建议、分类路径验证以及多模式内容推荐流，支持从宽泛到精确的渐进式探索。当用户没有明确目标、想找创作题材或热门方向，或需要按关键词/分类做系统性内容筛选时使用本技能；不直接生成图片/视频/歌曲（由 neta-creative 负责），社区互动由 neta-community 负责。
- Works in 12 steps: suggest_keywords - 获取搜索关键词建议 → suggest_tags - 获取相关标签建议 → suggest_categories - 获取分类层级导航 → …
- Media & Creative work in your project
- SKILL.md covers Instructions, 核心技能, 渐进式探索流程 and 常见使用场景, plus 3 more sections
- Calls npx and jq
What it does
Neta Suggest is an agent skill from netaart/neta-skills. Neta API 内容调研与推荐技能——提供关键词/标签/分类建议、分类路径验证以及多模式内容推荐流，支持从宽泛到精确的渐进式探索。当用户没有明确目标、想找创作题材或热门方向，或需要按关键词/分类做系统性内容筛选时使用本技能；不直接生成图片/视频/歌曲（由 neta-creative 负责），社区互动由 neta-community 负责。
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative. The repository describes itself as: Neta - Agent-first Creative Kit. The licence is MIT.
When your agent uses it
- Media & Creative work in your project
Example prompts
- “/neta-suggest”
Requirements
- Node.js
Workflow steps
12 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit d511671. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npxjq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Neta Suggest loads about 3.1k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 318 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from netaart/neta-skills at commit d511671, republished under its MIT licence (© netaart). 318 words, ~3,089 tokens.
Download SKILL.mdSave it as
.claude/skills/neta-suggest/SKILL.md (or your agent's skills folder).- name
- neta-suggest
- description
- Neta API 内容调研与推荐技能——提供关键词/标签/分类建议、分类路径验证以及多模式内容推荐流，支持从宽泛到精确的渐进式探索。当用户没有明确目标、想找创作题材或热门方向，或需要按关键词/分类做系统性内容筛选时使用本技能；不直接生成图片/视频/歌曲（由 neta-creative 负责），社区互动由 neta-community 负责。
Neta Suggest Skill
Instructions
- 处理「随便帮我找点题材」「帮我看看现在什么热门」「按某个主题/分类筛内容」这类调研任务时，可参考以下推荐流程：
- 推荐标准流程：浏览分类 → 发现标签 → 验证分类路径 → 获取推荐内容（本文件的“渐进式探索流程”部分已经给出详细命令）。
- 在内容创作前，可使用本 skill 先完成题材/标签/分类层面的调研，再交给
neta-creative进行具体创作。 - 当用户需要对具体作品进行点赞/互动时，应切换到
neta-community。
核心技能
1. suggest_keywords - 获取搜索关键词建议
基于输入前缀提供热门搜索词建议，帮助用户发现感兴趣的内容方向。
npx -y @talesofai/neta-skills@latest suggest_keywords --prefix "游戏" --size 20参数说明：
--prefix: 关键词前缀（必填）--size: 返回数量，建议 10-20（可选，默认值根据系统配置）
适用场景：
- 用户只有模糊想法时
- 探索热门话题和趋势
- 为后续精确筛选做准备
2. suggest_tags - 获取相关标签建议
基于完整关键词推荐相关的 tax 标签。
npx -y @talesofai/neta-skills@latest suggest_tags --keyword "角色塑造" --size 15参数说明：
--keyword: 完整的关键词（必填）--size: 返回数量，建议 10-20（可选）
适用场景：
- 了解某个主题的相关标签
- 发现垂直领域的热门标签
- 为内容创作选择合适的话题标签
3. suggest_categories - 获取分类层级导航
提供三级分类体系的导航建议，支持逐级深入探索。
# 获取一级分类（顶层分类）
npx -y @talesofai/neta-skills@latest suggest_categories --level 1
# 获取二级分类（需要父级路径）
npx -y @talesofai/neta-skills@latest suggest_categories --level 2 --parent_path "衍生创作类"
# 获取三级分类（最细粒度）
npx -y @talesofai/neta-skills@latest suggest_categories --level 3 --parent_path "衍生创作类>同人二创"参数说明：
--level: 分类层级（1/2/3）（必填）--parent_path: 父级分类路径，level>1 时必填（可选）
分类体系：
一级分类（Level 1）
├─ 衍生创作类
│ ├─ 同人二创（Level 2）
│ │ ├─ 崩坏星穹铁道（Level 3）
│ │ └─ 原神（Level 3）
│ └─ 数字艺术
├─ 生活方式
└─ ...适用场景：
- 系统性了解平台内容分类
- 按图索骥查找特定领域内容
- 验证分类路径的有效性
4. validate_tax_path - 验证分类路径
检查分类路径是否有效，避免使用不存在的分类。
npx -y @talesofai/neta-skills@latest validate_tax_path --tax_path "衍生创作类>热门 IP>崩坏星穹铁道"参数说明：
--tax_path: 完整的分类路径（必填）
适用场景：
- 在使用分类路径前进行验证
- 确保分类路径的准确性
5. suggest_content - 智能内容流引擎
强大的内容推荐工具，支持三种模式：推荐、搜索、精确筛选。
# 模式 1：推荐模式（广泛探索）
npx -y @talesofai/neta-skills@latest suggest_content \
--page_index 0 \
--page_size 20 \
--scene agent_intent \
--intent recommend
# 模式 2：搜索模式（关键词搜索）
npx -y @talesofai/neta-skills@latest suggest_content \
--page_index 0 \
--page_size 20 \
--scene agent_intent \
--intent search \
--search_keywords "角色,创意"
# 模式 3：精确模式（分类筛选）
npx -y @talesofai/neta-skills@latest suggest_content \
--page_index 0 \
--page_size 20 \
--scene agent_intent \
--intent exact \
--tax_paths "衍生创作类>同人二创"
# 组合使用（多条件筛选）
npx -y @talesofai/neta-skills@latest suggest_content \
--page_index 0 \
--page_size 20 \
--scene agent_intent \
--intent search \
--search_keywords "AI,绘画" \
--tax_paths "数字艺术>概念设计" \
--exclude_keywords "测试,废弃"参数说明：
--page_index: 页码，从 0 开始（默认 0）--page_size: 每页数量，范围 1-40（默认 20）--scene: 场景标识（默认 "agent_intent"）--biz_trace_id: 会话追踪 ID（可选）--intent: 意图类型recommend|search|exact（默认 recommend）--search_keywords: 搜索关键词，多个之间用英文逗号分隔（可选）--tax_paths: 分类路径，多个之间用英文逗号分隔（可选）--tax_primaries: 一级分类，多个之间用英文逗号分隔（可选）--tax_secondaries: 二级分类，多个之间用英文逗号分隔（可选）--tax_tertiaries: 三级分类，多个之间用英文逗号分隔（可选）--exclude_keywords: 排除关键词，多个之间用英文逗号分隔（可选）--exclude_tax_paths: 排除分类路径，多个之间用英文逗号分隔（可选）
渐进式探索流程
标准探索路径（从宽到窄）
graph LR
A[浏览分类] --> B[发现标签]
B --> C[验证路径]
C --> D[获取内容]步骤 1：浏览分类体系
先了解整体的内容分类结构：
# 查看所有一级分类
npx -y @talesofai/neta-skills@latest suggest_categories --level 1
# 输出示例：["衍生创作类", "数字艺术", "生活方式"]
# 对感兴趣的分类深入查看
npx -y @talesofai/neta-skills@latest suggest_categories --level 2 --parent_path "衍生创作类"
# 输出示例：["同人二创", "原创故事", "互动小说"]步骤 2：发现相关标签
基于分类或关键词发现热门标签：
# 基于关键词找标签
npx -y @talesofai/neta-skills@latest suggest_tags --keyword "同人二创" --size 15
# 输出示例：["崩坏星穹铁道", "原神", "明日方舟"]
# 或者用关键词建议辅助
npx -y @talesofai/neta-skills@latest suggest_keywords --prefix "崩" --size 10
# 输出示例：["崩坏星穹铁道", "崩坏 3", "崩坏学园"]步骤 3：验证分类路径
在正式使用前验证路径有效性：
npx -y @talesofai/neta-skills@latest validate_tax_path \
--tax_path "衍生创作类>同人二创>崩坏星穹铁道"
# 如果有效会返回成功，否则提示错误步骤 4：获取推荐内容
使用验证过的路径获取内容：
# 精确模式：按分类筛选
npx -y @talesofai/neta-skills@latest suggest_content \
--intent exact \
--tax_paths "衍生创作类>同人二创>崩坏星穹铁道" \
--page_size 20
# 或者搜索模式：结合关键词
npx -y @talesofai/neta-skills@latest suggest_content \
--intent search \
--search_keywords "崩坏星穹铁道，同人" \
--tax_paths "衍生创作类>同人二创" \
--page_size 20常见使用场景
场景 1：无明确目标的探索
用户只是随便看看，没有特定目标。
# 策略：使用推荐模式，广泛浏览
npx -y @talesofai/neta-skills@latest suggest_content \
--intent recommend \
--page_size 20技巧：
- 不设置任何筛选条件
- 让算法根据热度推荐
- 适合发现意外惊喜
场景 2：有模糊兴趣方向
用户对某个主题感兴趣，但不确定具体内容。
# 步骤 1：先用关键词建议发现方向
npx -y @talesofai/neta-skills@latest suggest_keywords --prefix "游" --size 15
# 步骤 2：基于发现的关键词找标签
npx -y @talesofai/neta-skills@latest suggest_tags --keyword "游戏" --size 15
# 步骤 3：使用搜索模式探索
npx -y @talesofai/neta-skills@latest suggest_content \
--intent search \
--search_keywords "原神" \
--page_size 20技巧：
- 从宽泛的关键词开始
- 逐步缩小范围
- 结合标签和关键词
场景 3：有明确的分类目标
用户明确想看某个分类的内容。
# 步骤 1：确认分类路径
npx -y @talesofai/neta-skills@latest suggest_categories --level 1
npx -y @talesofai/neta-skills@latest suggest_categories --level 2 --parent_path "衍生创作类"
# 步骤 2：验证路径
npx -y @talesofai/neta-skills@latest validate_tax_path \
--tax_path "衍生创作类>同人二创>崩坏星穹铁道"
# 步骤 3：精确筛选
npx -y @talesofai/neta-skills@latest suggest_content \
--intent exact \
--tax_paths "衍生创作类>同人二创>崩坏星穹铁道" \
--page_size 20技巧：
- 先验证路径再使用
- 使用 exact 模式确保精确匹配
- 可以组合多个分类路径
场景 4：内容创作前的调研
准备创作内容，需要了解热门标签和分类。
# 步骤 1：了解热门标签
npx -y @talesofai/neta-skills@latest suggest_tags --keyword "角色塑造" --size 20
# 步骤 2：了解相关分类
npx -y @talesofai/neta-skills@latest suggest_categories --level 2 --parent_path "衍生创作类"
# 步骤 3：查看该分类下的热门内容
npx -y @talesofai/neta-skills@latest suggest_content \
--intent search \
--search_keywords "角色,设定" \
--tax_paths "衍生创作类>同人二创" \
--page_size 30技巧：
- 全面了解后再创作
- 参考热门标签提高曝光
- 选择合适的分类投放
场景 5：排除特定内容
想看某类内容，但想排除某些元素。
npx -y @talesofai/neta-skills@latest suggest_content \
--intent search \
--search_keywords "AI,绘画" \
--tax_paths "数字艺术" \
--exclude_keywords "教程,广告" \
--exclude_tax_paths "数字艺术>课程培训" \
--page_size 20技巧：
- 使用
exclude_keywords过滤不想要的内容 - 使用
exclude_tax_paths排除特定分类 - 正向筛选 + 负向排除结合
参数组合技巧
组合 1：关键词 + 分类双重筛选
npx -y @talesofai/neta-skills@latest suggest_content \
--intent search \
--search_keywords "视频,剪辑" \
--tax_paths "数字艺术>视频制作" \
--page_size 20效果： 在"视频制作"分类下搜索包含"视频"和"剪辑"的内容
组合 2：多级分类组合
npx -y @talesofai/neta-skills@latest suggest_content \
--intent exact \
--tax_paths "衍生创作类>同人二创>崩坏星穹铁道" \
--page_size 20效果： 精确筛选三级分类，等价于 tax_paths: "衍生创作类>同人二创>崩坏星穹铁道"
组合 3：推荐模式 + 排除条件
npx -y @talesofai/neta-skills@latest suggest_content \
--intent recommend \
--exclude_keywords "教程,搬运" \
--exclude_tax_paths "课程类" \
--page_size 20效果： 智能推荐，但排除教程和搬运内容
组合 4：翻页连续性
# 第 1 页
npx -y @talesofai/neta-skills@latest suggest_content \
--page_index 0 \
--page_size 20 \
--intent search \
--search_keywords "创意"
# 保存返回的 biz_trace_id（假设返回值为 "abc123"）
# 第 2 页（使用第 1 页返回的 biz_trace_id）
npx -y @talesofai/neta-skills@latest suggest_content \
--page_index 1 \
--page_size 20 \
--intent search \
--search_keywords "创意" \
--biz_trace_id "abc123"效果： 保持搜索结果的一致性
输出数据结构
suggest_keywords / suggest_tags / suggest_categories
返回建议列表：
{
"suggestions": ["建议 1", "建议 2", "建议 3"]
}validate_tax_path
验证分类路径是否有效：
{
"valid": true,
"message": "路径有效"
}或无效时：
{
"valid": false,
"message": "错误信息"
}suggest_content
返回推荐内容列表和分页信息：
{
"module_list": [
{
"data_id": "模块 ID",
"module_id": "模块类型",
"template_id": "模板 ID",
"json_data": {}
}
],
"page_data": {
"has_next_page": true,
"page_index": 0,
"page_size": 20,
"biz_trace_id": "会话追踪 ID"
}
}性能优化建议
1. 合理设置 page_size
- 探索阶段：10-15（快速试错）
- 深入浏览：20-30（减少翻页次数）
- 精确查找：20-40（一次性获取足够内容）
2. 缓存建议结果
缓存分类、标签等建议结果，避免重复请求：
# 第一次请求
npx -y @talesofai/neta-skills@latest suggest_categories --level 1 > /tmp/categories_level1.json
# 后续使用缓存（示例：从缓存文件读取）
cat /tmp/categories_level1.json实际应用中可以使用文件系统或数据库来缓存结果。
3. 预加载下一级分类
在用户查看当前层级时，后台预加载可能的下一级分类：
# 获取 Level 1 分类
npx -y @talesofai/neta-skills@latest suggest_categories --level 1
# 并行预加载 Level 2 分类（示例：使用后台任务）
npx -y @talesofai/neta-skills@latest suggest_categories --level 2 --parent_path "衍生创作类" &
npx -y @talesofai/neta-skills@latest suggest_categories --level 2 --parent_path "数字艺术" &
npx -y @talesofai/neta-skills@latest suggest_categories --level 2 --parent_path "生活方式" &
wait这样可以提升用户体验，减少等待时间。
4. 批量验证分类路径
一次性验证多个分类路径的有效性：
# 并行验证多个路径
npx -y @talesofai/neta-skills@latest validate_tax_path --tax_path "衍生创作类>同人二创>崩坏星穹铁道" &
npx -y @talesofai/neta-skills@latest validate_tax_path --tax_path "衍生创作类>同人二创>原神" &
npx -y @talesofai/neta-skills@latest validate_tax_path --tax_path "数字艺术>概念设计" &
wait
# 或者使用脚本批量处理
cat > /tmp/paths.txt << EOF
衍生创作类>同人二创>崩坏星穹铁道
衍生创作类>同人二创>原神
数字艺术>概念设计
EOF
while read path; do
npx -y @talesofai/neta-skills@latest validate_tax_path --tax_path "$path"
done < /tmp/paths.txt这样可以提前筛选出有效的分类路径，避免后续请求失败。
调试技巧
1. 检查搜索关键词是否生效
# 开启 debug 日志
DEBUG=* npx -y @talesofai/neta-skills@latest suggest_content \
--intent search \
--search_keywords "测试关键词"检查日志中是否正确传递了关键词参数。
2. 验证分类路径匹配
# 先用 exact 模式测试
npx -y @talesofai/neta-skills@latest suggest_content \
--intent exact \
--tax_paths "你的分类路径" \
--page_size 5
# 如果返回空，可能是：
# - 分类路径不存在
# - 该分类下没有内容
# - 路径格式不正确3. 对比不同模式的结果
# 同一关键词，对比三种模式
npx -y @talesofai/neta-skills@latest suggest_content --intent recommend --page_size 10
npx -y @talesofai/neta-skills@latest suggest_content --intent search --search_keywords "关键词" --page_size 10
npx -y @talesofai/neta-skills@latest suggest_content --intent exact --tax_paths "分类路径" --page_size 10观察不同模式下结果的差异，理解各模式的特点。
常见问题
Q1: suggest_keywords 和 suggest_tags 有什么区别？
A:
suggest_keywords: 基于前缀的模糊匹配，适合探索阶段suggest_tags: 基于完整关键词的相关性匹配，更精确
# keywords - 前缀匹配
npx -y @talesofai/neta-skills@latest suggest_keywords --prefix "崩" # 返回所有以"崩"开头的词
# tags - 相关性匹配
npx -y @talesofai/neta-skills@latest suggest_tags --keyword "游戏" # 返回与"游戏"相关的标签Q2: 为什么 validate_tax_path 验证通过，但 suggest_content 返回空？
可能原因：
- 分类路径有效，但该分类下暂时没有内容
- intent 模式不对（应该用 exact 却用了 recommend）
- 还有其他筛选条件冲突
解决方案：
# 尝试去掉其他条件，只用分类路径
npx -y @talesofai/neta-skills@latest suggest_content \
--intent exact \
--tax_paths "你的分类路径" \
--page_size 10Q3: 如何选择合适的 intent 模式？
选择指南：
| 模式 | 使用场景 | 必需参数 |
|---|---|---|
recommend | 无目的浏览、探索 | 无 |
search | 有明确关键词 | search_keywords |
exact | 严格按分类筛选 | tax_paths 或分类参数 |
Q4: exclude_keywords 和 exclude_tax_paths 如何使用？
# 排除包含特定词的内容
npx -y @talesofai/neta-skills@latest suggest_content \
--exclude_keywords "教程,广告,搬运" \
--search_keywords "绘画"
# 排除特定分类
npx -y @talesofai/neta-skills@latest suggest_content \
--exclude_tax_paths "课程培训,商业推广" \
--tax_paths "数字艺术"注意： 排除条件会显著减少结果数量，慎用。
Q5: biz_trace_id 在多轮对话中如何维护？
方法：保存第一次请求返回的 biz_trace_id，后续请求都使用这个值。
# 第 1 次请求（首页）
npx -y @talesofai/neta-skills@latest suggest_content \
--page_index 0 \
--page_size 20 \
--intent search \
--search_keywords "关键词" > /tmp/page0.json
# 从返回结果中提取 biz_trace_id
BIZ_TRACE_ID=$(cat /tmp/page0.json | jq -r '.page_data.biz_trace_id')
# 第 2 次请求（下一页），使用保存的 biz_trace_id
npx -y @talesofai/neta-skills@latest suggest_content \
--page_index 1 \
--page_size 20 \
--intent search \
--search_keywords "关键词" \
--biz_trace_id "$BIZ_TRACE_ID"注意： 应该使用第一次返回的 biz_trace_id，而不是每次都用上一次的返回值。
总结
使用玩法内容探索技能的关键点：
- 渐进式探索：分类 → 标签 → 验证 → 内容
- 模式选择：无目的用 recommend，有关键词用 search，有分类用 exact
- 参数组合：善用关键词 + 分类的双重筛选
- 排除技巧：合理使用 exclude 参数过滤噪音
- 会话连续：正确维护 biz_trace_id 保证体验一致性
遵循这些最佳实践，可以高效地探索和发现平台上的优质内容！
© netaart, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/zh_cn/neta-suggest of netaart/neta-skills.
Open the folder on GitHubat commit d511671
Compare with similar skills
Neta Suggest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Neta Suggest this skillnetaart/neta-skills | 667 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 | |
| Weekly Changelog Videoheygen-com/hyperframes | 59k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Anthropic Brand Stylinganthropics/skills | 180k | 30 repos | ~559 | Automated safety check: Pass | Apache-2.0 | |
| Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image | 2.2k | 2 repos | ~1.8k | Automated safety check: Pass | MIT | |
| MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo | 129k | — | ~2.1k | Automated safety check: Warn | MIT |
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Anthropic Brand Styling
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Applies Anthropic's brand colors and fonts to artifacts such as PowerPoint slides, using fixed hex values for text and accents, Poppins headings and Lora body text.
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Related
Categories
Questions about Neta Suggest
What does Neta Suggest do?
Neta API 内容调研与推荐技能——提供关键词/标签/分类建议、分类路径验证以及多模式内容推荐流，支持从宽泛到精确的渐进式探索。当用户没有明确目标、想找创作题材或热门方向，或需要按关键词/分类做系统性内容筛选时使用本技能；不直接生成图片/视频/歌曲（由 neta-creative 负责），社区互动由 neta-community 负责。. Neta Suggest is an agent skill from netaart/neta-skills.
When should I use Neta Suggest?
Neta Suggest fits situations like: media & Creative work in your project.
How do I install Neta Suggest in Claude Code?
Run `npx skills add netaart/neta-skills --skill neta-suggest -a claude-code`. Or copy the skill folder (skills/zh_cn/neta-suggest in netaart/neta-skills) into .claude/skills/neta-suggest in your project. Claude Code loads it when a task matches its description.
How do I install Neta Suggest in Codex?
Run `npx skills add netaart/neta-skills --skill neta-suggest -a codex`. Or copy the skill folder (skills/zh_cn/neta-suggest in netaart/neta-skills) into .agents/skills/neta-suggest in your project. Codex loads it when a task matches its description.
Can I use Neta Suggest in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add netaart/neta-skills --skill neta-suggest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/neta-suggest, .gemini/skills/neta-suggest, .github/skills/neta-suggest and .opencode/skills/neta-suggest in your project.
What does Neta Suggest need to run?
Going by SKILL.md and its folder, Neta Suggest needs the command-line tools its instructions call (npx and jq). Our summary lists: Node.js.
Does Neta Suggest access the network?
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Neta Suggest safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Neta Suggest use?
Neta Suggest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Neta Suggest use?
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Neta Suggest?
Skills that share tags, products or a category with Neta Suggest: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 59k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Neta Suggest?
netaart (a GitHub organization) maintains it in netaart/neta-skills, which has 667 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on July 22, 2026.
Source: netaart/neta-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.