Ncbi Sequence Fetch
google-deepmind/science-skills
Retrieve protein and nucleotide sequences from NCBI databases using E-utilities.
从智慧芽（PatSnap）专利数据库获取专利标题和摘要的翻译版本。当用户要求专利摘要翻译、专利标题翻译、翻译后的专利摘要、其他语言的专利内容、中文/英文/日文的专利摘要，或需要通过专利ID或公开号查询特定专利的摘要、标题、patent abstract translation, patent title translation, PatSnap, patent translation…
Install Linkfox Zhihuiya Abstract Data Translated
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-abstract-data-translated --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/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-zhihuiya-abstract-data-translated .claude/skills/linkfox-zhihuiya-abstract-data-translated && 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 "linkfox-zhihuiya-abstract-data-translated" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-abstract-data-translated into .claude/skills/linkfox-zhihuiya-abstract-data-translated/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-abstract-data-translated", 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/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-abstract-data-translatedType 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-abstract-data-translated --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-zhihuiya-abstract-data-translated .agents/skills/linkfox-zhihuiya-abstract-data-translated && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-zhihuiya-abstract-data-translated" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-abstract-data-translated into .agents/skills/linkfox-zhihuiya-abstract-data-translated/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-abstract-data-translated", 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-abstract-data-translated --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-zhihuiya-abstract-data-translated .cursor/skills/linkfox-zhihuiya-abstract-data-translated && 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 "linkfox-zhihuiya-abstract-data-translated" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-abstract-data-translated into .cursor/skills/linkfox-zhihuiya-abstract-data-translated/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-abstract-data-translated", 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/linkfox-ai/linkfox-skills.git --path skills/linkfox-zhihuiya-abstract-data-translated--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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-abstract-data-translated --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-zhihuiya-abstract-data-translated .gemini/skills/linkfox-zhihuiya-abstract-data-translated && 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 "linkfox-zhihuiya-abstract-data-translated" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-abstract-data-translated into .gemini/skills/linkfox-zhihuiya-abstract-data-translated/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-abstract-data-translated", 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 linkfox-ai/linkfox-skills linkfox-zhihuiya-abstract-data-translatedInstalls 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-zhihuiya-abstract-data-translated .github/skills/linkfox-zhihuiya-abstract-data-translated && 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 "linkfox-zhihuiya-abstract-data-translated" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-abstract-data-translated into .github/skills/linkfox-zhihuiya-abstract-data-translated/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-abstract-data-translated", 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-zhihuiya-abstract-data-translated --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-zhihuiya-abstract-data-translated .opencode/skills/linkfox-zhihuiya-abstract-data-translated && 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 "linkfox-zhihuiya-abstract-data-translated" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-zhihuiya-abstract-data-translated into .opencode/skills/linkfox-zhihuiya-abstract-data-translated/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-zhihuiya-abstract-data-translated", 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
linkfox-zhihuiya-abstract-data-translated- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2.1k tokens
- SKILL.md length
- 906 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
从智慧芽（PatSnap）专利数据库获取专利标题和摘要的翻译版本。当用户要求专利摘要翻译、专利标题翻译、翻译后的专利摘要、其他语言的专利内容、中文/英文/日文的专利摘要，或需要通过专利ID或公开号查询特定专利的摘要、标题、patent abstract translation, patent title translation, PatSnap, patent translation…
- Works in 4 steps: At least one identifier is required: You… → Batch queries: Multiple patents can be… → Default language is English: When the… → …
- Tasks that involve Intellectual property
- SKILL.md covers Core Concepts, Parameter Guide, Response Fields and Usage Examples, plus 6 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Zhihuiya Abstract Data Translated is an agent skill from linkfox-ai/linkfox-skills. 从智慧芽（PatSnap）专利数据库获取专利标题和摘要的翻译版本。当用户要求专利摘要翻译、专利标题翻译、翻译后的专利摘要、其他语言的专利内容、中文/英文/日文的专利摘要，或需要通过专利ID或公开号查询特定专利的摘要、标题、patent abstract translation, patent title translation, PatSnap, patent translation, abstract lookup时触发此技能。当用户提到智慧芽、PatSnap或专利摘要查询时也应触发，即使未明确说"翻译"。
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).
It sits in Legal & Compliance, covering Intellectual property and Translation. The licence is MIT.
When your agent uses it
- Tasks that involve Intellectual property
- Tasks that involve Translation
Example prompts
- “/linkfox-zhihuiya-abstract-data-translated”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- At least one identifier is required: You must provide either patentId or patentNumber (or both). If both are supplied, patentId takes…
- Batch queries: Multiple patents can be queried at once by separating values with commas.
- Default language is English: When the user does not specify a language, use en.
- Family fallback: Set replaceByRelated to 1 only when the user explicitly wants a substitute abstract from a family patent if the original…
What it can do on your machine
Read from SKILL.md and the folder at commit 38fef04. 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
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
skill.linkfox.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Zhihuiya Abstract Data Translated loads about 2.1k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 906 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); the scripts in this folder are not scanned.
SKILL.md
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 906 words, ~2,066 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-zhihuiya-abstract-data-translated/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-zhihuiya-abstract-data-translated
- description
- 从智慧芽（PatSnap）专利数据库获取专利标题和摘要的翻译版本。当用户要求专利摘要翻译、专利标题翻译、翻译后的专利摘要、其他语言的专利内容、中文/英文/日文的专利摘要，或需要通过专利ID或公开号查询特定专利的摘要、标题、patent abstract translation, patent title translation, PatSnap, patent translation, abstract lookup时触发此技能。当用户提到智慧芽、PatSnap或专利摘要查询时也应触发，即使未明确说"翻译"。
Zhihuiya Patent Abstract (Translated)
This skill guides you on how to retrieve translated patent titles and abstracts from the Zhihuiya (PatSnap) patent database, supporting Chinese, English, and Japanese translations.
Core Concepts
Zhihuiya (PatSnap) is a leading patent intelligence platform. This tool queries its database to return translated titles and abstracts for one or more patents. You can look up patents by patent ID or publication (announcement) number, and receive translations in Chinese, English, or Japanese.
Patent identification: Each patent can be identified by either a patentId (internal Zhihuiya identifier) or a patentNumber (public publication/announcement number such as US20200012345A1 or CN112345678A). If both are provided, the patent ID takes priority.
Family patent fallback: When the original patent has no abstract available, you can optionally substitute the abstract from a related family patent by enabling the replacement option.
Parameter Guide
| Parameter | Type | Required | Description |
|---|---|---|---|
| patentId | string | At least one of patentId or patentNumber | Zhihuiya internal patent ID. Separate multiple IDs with commas. Max length 60,000 characters. |
| patentNumber | string | At least one of patentId or patentNumber | Publication (announcement) number. Separate multiple numbers with commas. Max length 60,000 characters. |
| replaceByRelated | integer | No | Whether to substitute a family patent abstract when the original is unavailable. 1 = yes, 0 = no. Default 0. |
| lang | string | No | Target translation language. en = English (default), cn = Chinese, jp = Japanese. |
Key Rules
- At least one identifier is required: You must provide either
patentIdorpatentNumber(or both). If both are supplied,patentIdtakes priority. - Batch queries: Multiple patents can be queried at once by separating values with commas.
- Default language is English: When the user does not specify a language, use
en. - Family fallback: Set
replaceByRelatedto1only when the user explicitly wants a substitute abstract from a family patent if the original is missing.
Response Fields
| Field | Description |
|---|---|
| total | Number of patent records returned |
| data | Array of patent objects (see below) |
| data[].patentId | Zhihuiya internal patent ID |
| data[].pn | Publication (announcement) number |
| data[].title | Translated patent title |
| data[].abstractText | Translated patent abstract |
| data[].pnRelated | Publication number of the substitute family patent (only present when family replacement was used) |
| costToken | Tokens consumed by this request |
Usage Examples
1. Translate a single patent abstract to English by publication number
Look up patent number US20200012345A1 and give me the English abstract.Parameters: patentNumber = "US20200012345A1", lang = "en"
2. Translate multiple patents to Chinese
Get the Chinese translation of abstracts for patents CN112345678A and US20200067890A1.Parameters: patentNumber = "CN112345678A,US20200067890A1", lang = "cn"
3. Look up by patent ID with family fallback
Get the Japanese abstract for patent ID 12345678. If the abstract is unavailable, use a family patent instead.Parameters: patentId = "12345678", lang = "jp", replaceByRelated = 1
4. Batch query by patent IDs
Translate the titles and abstracts for these patent IDs: 111111, 222222, 333333.Parameters: patentId = "111111,222222,333333", lang = "en"
Display Rules
- Present data clearly: Show results in a well-structured table with patent number, title, and abstract.
- Indicate language: Mention the translation language in the output header so users know which language the results are in.
- Family patent notice: If
pnRelatedis present in any result, explicitly inform the user that the abstract was sourced from a family patent and show the substitute publication number. - Long abstracts: For very long abstracts, display the full text without truncation so users can review the complete content.
- Error handling: Report the actual error. An empty translation result means the requested translation was not returned; it does not establish that the patent is absent or that all same-language requests are unsupported. If the user needs the original abstract, use
/zhihuiya/simpleBibliographyand verify the returned patent and text language. Keep the requested target language; do not silently switch it or substitute a family patent. - No subjective commentary: Present the translated text as-is without adding interpretation or legal analysis of the patent content.
Show full SKILL.md (323 more words)Show less
调用方式
- API 端点：
POST /zhihuiya/abstractDataTranslated（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/zhihuiya_abstract_translated.py '<JSON 参数>' [--inline] - 成本约束：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。
输出策略（脚本默认行为）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-zhihuiya-abstract-data-translated-<timestamp>.json（<cwd>为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session>取自环境变量SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错） - 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本） - 加
--inline强制全量打印到 stdout（同样落盘）
读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
解决认证和算力问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
Important Limitations
- Identifier required: At least one of patent ID or publication number must be provided; the tool cannot perform keyword-based searches.
- Translation languages: Only Chinese (
cn), English (en), and Japanese (jp) are supported. - No full-text retrieval: This tool returns only titles and abstracts, not full patent claims or descriptions.
- Family replacement is optional: The substitute family patent abstract is only provided when explicitly requested via
replaceByRelated = 1.
User Expression & Scenario Quick Reference
Applicable -- Patent abstract and title translation queries:
| User Says | Scenario |
|---|---|
| "Translate this patent abstract" | Single patent translation |
| "What does patent XX say / what is it about" | Abstract lookup |
| "Get the Chinese/Japanese version of this patent" | Specific language translation |
| "Look up the abstract for patent number XX" | Publication number lookup |
| "Translate these patents in batch" | Batch translation |
| "The abstract is missing, try a family patent" | Family patent fallback |
Not applicable -- Needs beyond abstract translation:
- Full patent text, claims, or description retrieval
- Patent search by keyword, classification, or applicant
- Patent legal status, citation analysis, or landscape reports
- Patent valuation or infringement analysis
算力消耗规则
按动态规则计费：消耗算力 = 81 × 返回data条数。每条为 1 条专利摘要翻译结果
重要：本技能的服务按倍数动态计算，可能一次性消耗大量算力，必须提醒用户，由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.
© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (scripts, references) in skills/linkfox-zhihuiya-abstract-data-translated of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/zhihuiya_abstract_translated.py
Open the folder on GitHubat commit 38fef04
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Linkfox Zhihuiya Abstract Data Translated 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 |
|---|---|---|---|---|---|---|
| Linkfox Zhihuiya Abstract Data Translated this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Ncbi Sequence Fetchgoogle-deepmind/science-skills | 3.2k | 1 repos | ~2.3k | Automated safety check: Notes | Apache-2.0 | |
| Paper to Chinese Patent DrafterYuan1z0825/nature-skills | 47k | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Qiaomu Meta Skilljoeseesun/qiaomu-meta-skill | 383 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Paper To Cn Patentsnipp-zha/Paper-to-patent-Skill | 107 | 1 repos | ~959 | Automated safety check: Pass | None | |
| Patent Examinegfodor/legal-skills | 393 | — | ~4.8k | Automated safety check: Pass | GPL-3.0 |
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亚马逊ABA（品牌分析）搜索词数据的查询与分析，涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…
Linkfox Amazon Alexa Search
linkfox-ai/linkfox-skills
通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…
Linkfox Amazon Opportunity Search By Metrics
linkfox-ai/linkfox-skills
亚马逊反向选品：基于历史商业洞察报告沉淀的指标数据池，按 30+ 项商业维度（市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等）反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…
Linkfox Amazon Product Detail
linkfox-ai/linkfox-skills
通过ASIN获取亚马逊商品详细信息，包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等；可在取得原始HTML时尝试提取Item Highlights（商品亮点）。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…
Linkfox Amazon Reviews List
linkfox-ai/linkfox-skills
按ASIN获取并分析亚马逊商品评论，支持15个站点(含美国站)，按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…
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Questions about Linkfox Zhihuiya Abstract Data Translated
What does Linkfox Zhihuiya Abstract Data Translated do?
从智慧芽（PatSnap）专利数据库获取专利标题和摘要的翻译版本。当用户要求专利摘要翻译、专利标题翻译、翻译后的专利摘要、其他语言的专利内容、中文/英文/日文的专利摘要，或需要通过专利ID或公开号查询特定专利的摘要、标题、patent abstract translation, patent title translation, PatSnap, patent translation…. Linkfox Zhihuiya Abstract Data Translated is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Zhihuiya Abstract Data Translated?
Linkfox Zhihuiya Abstract Data Translated fits situations like: tasks that involve Intellectual property; tasks that involve Translation.
How do I install Linkfox Zhihuiya Abstract Data Translated in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a claude-code`. Or copy the skill folder (skills/linkfox-zhihuiya-abstract-data-translated in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-zhihuiya-abstract-data-translated in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Zhihuiya Abstract Data Translated in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a codex`. Or copy the skill folder (skills/linkfox-zhihuiya-abstract-data-translated in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-zhihuiya-abstract-data-translated in your project. Codex loads it when a task matches its description.
Can I use Linkfox Zhihuiya Abstract Data Translated 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 linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-abstract-data-translated -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-zhihuiya-abstract-data-translated, .gemini/skills/linkfox-zhihuiya-abstract-data-translated, .github/skills/linkfox-zhihuiya-abstract-data-translated and .opencode/skills/linkfox-zhihuiya-abstract-data-translated in your project.
What does Linkfox Zhihuiya Abstract Data Translated need to run?
Going by SKILL.md and its folder, Linkfox Zhihuiya Abstract Data Translated needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
Does Linkfox Zhihuiya Abstract Data Translated access the network?
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Is Linkfox Zhihuiya Abstract Data Translated 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Linkfox Zhihuiya Abstract Data Translated use?
Linkfox Zhihuiya Abstract Data Translated 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 Linkfox Zhihuiya Abstract Data Translated use?
About 2.1k tokens (SKILL.md is roughly 8.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Zhihuiya Abstract Data Translated?
Skills that share tags, products or a category with Linkfox Zhihuiya Abstract Data Translated: Ncbi Sequence Fetch (google-deepmind/science-skills, 3.2k stars), Paper to Chinese Patent Drafter (Yuan1z0825/nature-skills, 47k stars), Qiaomu Meta Skill (joeseesun/qiaomu-meta-skill, 383 stars) and Paper To Cn Patent (snipp-zha/Paper-to-patent-Skill, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Zhihuiya Abstract Data Translated?
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.