TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR…
Install Linkfox Keepa Product Series
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-series -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-series --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-keepa-product-series .claude/skills/linkfox-keepa-product-series && 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-keepa-product-series" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-series into .claude/skills/linkfox-keepa-product-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-series", 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-keepa-product-seriesType 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-keepa-product-series -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-series --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-keepa-product-series .agents/skills/linkfox-keepa-product-series && 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-keepa-product-series" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-series into .agents/skills/linkfox-keepa-product-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-series", 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-keepa-product-series -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-series --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-keepa-product-series .cursor/skills/linkfox-keepa-product-series && 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-keepa-product-series" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-series into .cursor/skills/linkfox-keepa-product-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-series", 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-keepa-product-series--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-keepa-product-series -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-series --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-keepa-product-series .gemini/skills/linkfox-keepa-product-series && 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-keepa-product-series" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-series into .gemini/skills/linkfox-keepa-product-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-series", 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-keepa-product-seriesInstalls 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-keepa-product-series -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-keepa-product-series .github/skills/linkfox-keepa-product-series && 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-keepa-product-series" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-series into .github/skills/linkfox-keepa-product-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-series", 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-keepa-product-series -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-keepa-product-series --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-keepa-product-series .opencode/skills/linkfox-keepa-product-series && 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-keepa-product-series" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-series into .opencode/skills/linkfox-keepa-product-series/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-series", 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-keepa-product-series- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2.5k tokens
- SKILL.md length
- 1,135 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR…
- Works in 5 steps: Price analysis: Enable showPrice,… → FBA vs FBM comparison: Enable both… → BSR deep-dive: Enable showBsrMain to get… → …
- Tasks that involve Forecasting and time series
- SKILL.md covers Core Concepts, Available Data Series, Supported Marketplaces and 调用方式, plus 7 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Keepa Product Series is an agent skill from linkfox-ai/linkfox-skills. 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及"Keepa"或"时序数据"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。
Its SKILL.md is about 2.5k 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/keepa_product_history.py`).
It sits in Data & Analytics, covering Forecasting and time series. The licence is MIT.
When your agent uses it
- Tasks that involve Forecasting and time series
Example prompts
- “/linkfox-keepa-product-series”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Price analysis: Enable showPrice, showPriceList, showPriceDeal, showPriceCoupon as needed for the specific price comparison the user wants.
- FBA vs FBM comparison: Enable both showPriceFba and showPriceFbm.
- BSR deep-dive: Enable showBsrMain to get the root category BSR alongside the always-returned sub-category BSR.
- Competitive landscape: Enable showSellerCount to see how many sellers are competing.
- Full product overview: Enable all show flags for a comprehensive historical snapshot.
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 Keepa Product Series loads about 2.5k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 1,135 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). 1,135 words, ~2,452 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-keepa-product-series/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-keepa-product-series
- description
- 查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR trends, Keepa historical data, price tracking, sales history, rating changes, seller count changes, price fluctuation时触发此技能。即使用户未明确提及"Keepa"或"时序数据"，只要其需求涉及亚马逊历史商品级数据（如价格、排名或销量随时间的变化趋势），也应触发此技能。
Keepa Product Time-Series Data Explorer
This skill guides you on how to query and analyze Amazon product historical time-series data, helping Amazon sellers track price movements, BSR trends, rating changes, and other key product metrics over time.
Core Concepts
This tool provides historical time-series data for individual Amazon products (ASINs) powered by Keepa. It returns timestamped data points for various metrics, allowing trend analysis over a configurable time window (up to 365 days). Each query targets a single ASIN in a specific Amazon marketplace.
Time-series format: All data series are returned as arrays of {time, value} objects, where time is a timestamp and value is the metric at that point. BSR data includes a categoryName field along with a points array. Analyze these fields from the saved JSON directly. _dataQuery_executeDynamicQuery reads Linkfox session data stored in SLS, not arbitrary JSON files; its supported data mappings do not determine whether these time series can be analyzed.
BSR logic: A smaller BSR value means a better sales rank. Rank 1 is the top-selling product in its category. When a user says "BSR improved", it means the numeric value decreased; "BSR dropped" means the value increased.
Available Data Series
| Series | Parameter | Description |
|---|---|---|
| Buy Box Price | (always returned) | Buy Box price over time |
| Lowest New Price | showPrice=1 | Lowest marketplace new item price |
| List Price | showPriceList=1 | Strikethrough / list price |
| Deal Price | showPriceDeal=1 | Lightning deal price |
| Prime Exclusive Price | showPricePrime=1 | Prime-exclusive new item price |
| FBA Price | showPriceFba=1 | Third-party FBA new item price |
| FBM Price | showPriceFbm=1 | Third-party FBM new item price |
| Coupon Price | showPriceCoupon=1 | Post-coupon Buy Box price |
| Main Category BSR | showBsrMain=1 | Best Sellers Rank in the main (root) category |
| Seller Count | showSellerCount=1 | Number of active sellers |
| Rating | (always returned) | Product star rating over time |
| Rating Count | (always returned) | Number of ratings over time |
| Monthly Sales | (always returned) | Monthly unit sales volume |
| Sub-category BSR | (always returned) | Best Sellers Rank in sub-categories |
Supported Marketplaces
| Domain ID | Marketplace |
|---|---|
| 1 | Amazon.com (US) |
| 2 | Amazon.co.uk (UK) |
| 3 | Amazon.de (Germany) |
| 4 | Amazon.fr (France) |
| 5 | Amazon.co.jp (Japan) |
| 6 | Amazon.ca (Canada) |
| 8 | Amazon.it (Italy) |
| 9 | Amazon.es (Spain) |
| 10 | Amazon.in (India) |
| 11 | Amazon.com.mx (Mexico) |
| 12 | Amazon.com.br (Brazil) |
Default marketplace is 1 (US). Use domain=1 when the user does not specify a marketplace.
调用方式
- API 端点：
POST /keepa/productSeries（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/keepa_product_history.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-keepa-product-series-<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。
Parameter Guide
Required Parameters
- asin: The Amazon Standard Identification Number to query. Only a single ASIN per request is supported.
- domain: The Amazon marketplace domain ID (see table above). Always map the user's marketplace mention to the correct numeric ID.
Optional Parameters
- days: Number of historical days to retrieve (1-365, default 90). Use 30 for short-term, 90 for medium-term, 365 for long-term analysis.
- show* flags: Set any
show*parameter to1to include that data series. By default, only the core series (Buy Box price, rating, rating count, monthly sales, sub-category BSR) are returned.
How to Choose Parameters
- Price analysis: Enable
showPrice,showPriceList,showPriceDeal,showPriceCouponas needed for the specific price comparison the user wants. - FBA vs FBM comparison: Enable both
showPriceFbaandshowPriceFbm. - BSR deep-dive: Enable
showBsrMainto get the root category BSR alongside the always-returned sub-category BSR. - Competitive landscape: Enable
showSellerCountto see how many sellers are competing. - Full product overview: Enable all show flags for a comprehensive historical snapshot.
Usage Examples
1. Basic price history for a US product
asin: B0XXXXXXXX, domain: 1, days: 902. Long-term BSR trend (1 year) on the German marketplace
asin: B0XXXXXXXX, domain: 3, days: 365, showBsrMain: 13. Price comparison across fulfillment channels
asin: B0XXXXXXXX, domain: 1, days: 30, showPriceFba: 1, showPriceFbm: 1, showPrice: 14. Deal and coupon price tracking
asin: B0XXXXXXXX, domain: 1, days: 90, showPriceDeal: 1, showPriceCoupon: 15. Full product health check
asin: B0XXXXXXXX, domain: 1, days: 90, showPrice: 1, showPriceList: 1, showPriceDeal: 1, showPricePrime: 1, showPriceFba: 1, showPriceFbm: 1, showPriceCoupon: 1, showBsrMain: 1, showSellerCount: 1Show full SKILL.md (501 more words)Show less
Display Rules
- Present data clearly: Show time-series data in tables or describe trends; avoid subjective business advice unless the user explicitly asks for it.
- BSR clarification: When showing BSR data, remind users that lower values mean better (higher) sales ranks.
- Price formatting: Display prices with proper currency symbols matching the marketplace ($ for US, EUR for DE/FR/ES/IT, GBP for UK, JPY for JP, etc.).
- Time formatting: Present timestamps in a human-readable date format.
- Trend summarization: When data series are long, summarize the overall trend (e.g., "price decreased from $29.99 to $24.99 over 90 days") and highlight significant changes such as price drops, BSR spikes, or rating shifts.
- Error handling: When a query fails, explain the reason and suggest corrections (e.g., verify the ASIN is valid, check the marketplace domain ID).
- Single ASIN limitation: If the user asks about multiple ASINs, inform them that queries must be made one ASIN at a time, and run multiple sequential calls.
Important Limitations
- Single ASIN per query: Only one ASIN can be queried at a time. For multi-ASIN comparisons, make separate requests.
- Maximum 365 days: Historical data is limited to at most 365 days back.
- Data granularity: Data points are at irregular intervals depending on when Keepa captured changes, not at fixed daily intervals.
User Expression & Scenario Quick Reference
Applicable -- Historical product-level data queries on Amazon:
| User Says | Scenario |
|---|---|
| "What's the price history for this ASIN" | Price trend analysis |
| "Show me the BSR trend", "how is it ranking" | BSR tracking |
| "Has the price dropped recently", "any deals" | Price drop / deal detection |
| "How many sellers are on this listing" | Seller count trend |
| "What's the rating trend", "review count over time" | Rating / review tracking |
| "FBA vs FBM price", "who has the Buy Box" | Fulfillment price comparison |
| "Monthly sales for this product" | Sales volume trend |
| "Was there a price war on this ASIN" | Competitive pricing analysis |
| "Show me the Keepa chart", "Keepa data" | Explicit Keepa data requests |
Not applicable -- Needs beyond product-level historical data:
- Search term / keyword analysis (use ABA data instead)
- Advertising / PPC campaign data
- Listing copywriting or content optimization
- Category-wide or market-level aggregate trends (this tool is per-ASIN only)
- Real-time inventory or stock level checks
- Product reviews text or sentiment analysis
Boundary judgment: When users say "product research" or "competitor analysis", if it boils down to examining a specific ASIN's historical price, BSR, or sales data, this skill applies. If they need keyword data, market-wide trends, or advertising metrics, it does not apply.
算力消耗规则
按动态规则计费：消耗算力 = 0.045 × 本次历史趋势查询消耗的 Keepa token。
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-keepa-product-series of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/keepa_product_history.py
- scripts/onboarding.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 Keepa Product Series 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 Keepa Product Series this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| Timesfm ForecastingzLanqing/codex-claude-academic-skills | 4.7k | 3 repos | ~7.5k | Automated safety check: Notes | Apache-2.0 | |
| Find Hypertable Candidatestimescale/pg-aiguide | 1.9k | 1 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Pensieve Searcharkohut/pensieve | 1.4k | — | ~8.2k | Automated safety check: Pass | Apache-2.0 |
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Questions about Linkfox Keepa Product Series
What does Linkfox Keepa Product Series do?
查询亚马逊商品的历史时序数据，包括价格走势、BSR（畅销排名）趋势、评分变化、卖家数量和月销量，支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR…. Linkfox Keepa Product Series is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Keepa Product Series?
Linkfox Keepa Product Series fits situations like: tasks that involve Forecasting and time series.
How do I install Linkfox Keepa Product Series in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-series -a claude-code`. Or copy the skill folder (skills/linkfox-keepa-product-series in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-keepa-product-series in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Keepa Product Series in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-series -a codex`. Or copy the skill folder (skills/linkfox-keepa-product-series in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-keepa-product-series in your project. Codex loads it when a task matches its description.
Can I use Linkfox Keepa Product Series 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-keepa-product-series -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-keepa-product-series, .gemini/skills/linkfox-keepa-product-series, .github/skills/linkfox-keepa-product-series and .opencode/skills/linkfox-keepa-product-series in your project.
What does Linkfox Keepa Product Series need to run?
Going by SKILL.md and its folder, Linkfox Keepa Product Series 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 Keepa Product Series 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 Keepa Product Series 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 Keepa Product Series use?
Linkfox Keepa Product Series 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 Keepa Product Series use?
About 2.5k tokens (SKILL.md is roughly 9.8k 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 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Keepa Product Series?
Skills that share tags, products or a category with Linkfox Keepa Product Series: TimesFM Forecasting (google-research/timesfm, 34k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars), Timesfm Forecasting (zLanqing/codex-claude-academic-skills, 4.7k stars) and Find Hypertable Candidates (timescale/pg-aiguide, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Keepa Product Series?
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.