MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
亚马逊 FBA 入仓与 Fulfillment Inbound 全流程管理。用于创建和管理 inbound plan,处理装箱、placement、shipment、货件内容更新、送达窗口、自配送预约、运输方案、商品合规、预处理、箱唛标签、提单及异步操作状态。用户提到 FBA 入库计划、Send to Amazon、创建入仓计划、packing option、placement…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-fulfillment-inbound -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-fulfillment-inbound --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-amazon-store-fulfillment-inbound .claude/skills/linkfox-amazon-store-fulfillment-inbound && 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-amazon-store-fulfillment-inbound" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-fulfillment-inbound into .claude/skills/linkfox-amazon-store-fulfillment-inbound/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-fulfillment-inbound", 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-amazon-store-fulfillment-inboundType 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-amazon-store-fulfillment-inbound -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-fulfillment-inbound --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-amazon-store-fulfillment-inbound .agents/skills/linkfox-amazon-store-fulfillment-inbound && 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-amazon-store-fulfillment-inbound" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-fulfillment-inbound into .agents/skills/linkfox-amazon-store-fulfillment-inbound/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-fulfillment-inbound", 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-amazon-store-fulfillment-inbound -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-fulfillment-inbound --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-amazon-store-fulfillment-inbound .cursor/skills/linkfox-amazon-store-fulfillment-inbound && 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-amazon-store-fulfillment-inbound" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-fulfillment-inbound into .cursor/skills/linkfox-amazon-store-fulfillment-inbound/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-fulfillment-inbound", 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-amazon-store-fulfillment-inbound--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-amazon-store-fulfillment-inbound -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-store-fulfillment-inbound --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-amazon-store-fulfillment-inbound .gemini/skills/linkfox-amazon-store-fulfillment-inbound && 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-amazon-store-fulfillment-inbound" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-fulfillment-inbound into .gemini/skills/linkfox-amazon-store-fulfillment-inbound/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-fulfillment-inbound", 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-amazon-store-fulfillment-inboundInstalls 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-amazon-store-fulfillment-inbound -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-amazon-store-fulfillment-inbound .github/skills/linkfox-amazon-store-fulfillment-inbound && 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-amazon-store-fulfillment-inbound" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-fulfillment-inbound into .github/skills/linkfox-amazon-store-fulfillment-inbound/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-fulfillment-inbound", 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-amazon-store-fulfillment-inbound -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-amazon-store-fulfillment-inbound --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-amazon-store-fulfillment-inbound .opencode/skills/linkfox-amazon-store-fulfillment-inbound && 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-amazon-store-fulfillment-inbound" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-store-fulfillment-inbound into .opencode/skills/linkfox-amazon-store-fulfillment-inbound/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-store-fulfillment-inbound", 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.
linkfox-amazon-store-fulfillment-inbound亚马逊 FBA 入仓与 Fulfillment Inbound 全流程管理。用于创建和管理 inbound plan,处理装箱、placement、shipment、货件内容更新、送达窗口、自配送预约、运输方案、商品合规、预处理、箱唛标签、提单及异步操作状态。用户提到 FBA 入库计划、Send to Amazon、创建入仓计划、packing option、placement…
Linkfox Amazon Store Fulfillment Inbound is an agent skill from linkfox-ai/linkfox-skills. 亚马逊 FBA 入仓与 Fulfillment Inbound 全流程管理。用于创建和管理 inbound plan,处理装箱、placement、shipment、货件内容更新、送达窗口、自配送预约、运输方案、商品合规、预处理、箱唛标签、提单及异步操作状态。用户提到 FBA 入库计划、Send to Amazon、创建入仓计划、packing option、placement option、transportation option、货件箱唛、入仓标签、送仓预约、shipmentConfirmationId、createInboundPlan、Fulfillment Inbound API、v2024-03-20 或 v0 入仓接口时触发。即使未明确说“Fulfillment Inbound”,只要希望把库存发往亚马逊运营中心并完成建仓、装箱、分仓、运输或交仓步骤,也应触发此技能。
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 76 other files, including scripts and reference files (for example `references/api.md`, `references/apis/asynchronous-operations.md` and `references/apis/delivery-windows-and-documents.md`).
It works with Python. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
skill.linkfox.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkfox Amazon Store Fulfillment Inbound loads about 1.9k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 454 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.
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.
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 454 words, ~1,935 tokens.
.claude/skills/linkfox-amazon-store-fulfillment-inbound/SKILL.md (or your agent's skills folder). This skill also uses 73 other files; get the full folder from GitHub.本 Skill 覆盖 Amazon Fulfillment Inbound v2024-03-20 的 45 个 operation,以及仍需配合新流程使用的 6 个 v0 查询/文档 operation。所有请求继续使用 Amazon Store 系列的生产链路:POST /spApi/developerProxy,由服务端通过 sellerId + region 解析授权。
linkfox-amazon-store-auth。先运行 python scripts/check_auth_dependency.py;若 exit code 为 42 且 stderr 含 DEPENDENCY_MISSING:,先安装或加载该依赖。sellerId 与 region。region 仅允许 NA、EU、FE。amzAccessToken、accessToken、refreshToken。不要让调用方覆盖 Amazon path、method 或网关 queryString。POST /spApi/developerProxy(完整参数/响应/错误码见 references/api.md)python scripts/<operation_script>.py '<JSON 参数>' [--inline] [--no-cache]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-amazon-store-fulfillment-inbound-<timestamp>.json(<cwd> 为脚本执行时的工作目录,<session> 取自环境变量 SESSION_ID;禁止写入 /tmp,当前目录不可写则报错)--inline 强制全量打印到 stdout(同样落盘)--no-cache 强制本次读/生成操作访问网关;只在用户要求刷新或已确认外部状态变化时使用读数据建议: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。
每个公开脚本只代表一个固定 operation,并且一次执行最多调用一次网关。统一执行器负责:
nextAction,但不自动轮询;调用格式:
python scripts/<operation_script>.py '<JSON parameters>' [--inline] [--no-cache]公共参数:
| 参数 | 必填 | 说明 |
|---|---|---|
sellerId | 是 | 已授权 Seller ID |
region | 是 | NA / EU / FE |
| path/query 参数 | 条件 | 使用各 operation 文档中的 lowerCamelCase 名称 |
requestBody | 条件 | Amazon JSON body;推荐显式传此对象,也兼容将 body 字段放在顶层 |
confirmWrite | 提交类操作必填 | 用户明确确认目标和选择后传布尔值 true;8 个确定性提交操作缺少该值时脚本会在网关调用前拒绝 |
skipDepCheck | 否 | 仅本地调试使用 |
示例:
python scripts/get_inbound_plan.py '{"sellerId":"A1...","region":"NA","inboundPlanId":"wf12345678-1234-1234-1234-123456789012"}'
python scripts/create_inbound_plan.py '{"sellerId":"A1...","region":"NA","requestBody":{"destinationMarketplaces":["ATVPDKIKX0DER"],"items":[{"labelOwner":"AMAZON","msku":"SKU-1","prepOwner":"SELLER","quantity":10}],"sourceAddress":{"name":"Warehouse","addressLine1":"1 Main St","city":"Seattle","countryCode":"US","phoneNumber":"+1-206-555-0100","postalCode":"98101","stateOrProvinceCode":"WA"}}}'
python scripts/get_labels.py '{"sellerId":"A1...","region":"NA","shipmentConfirmationId":"FBA...","pageType":"PackageLabel_Letter_2","labelType":"UNIQUE"}'| 分组 | 用途 | 详细参数与脚本 |
|---|---|---|
| Inbound Plans | 创建、读取、取消、改名、查看 plan 内容 | inbound-plans.md |
| Packing | 生成/确认装箱方案、提交箱规、查看 packing group | packing.md |
| Placement | 生成、列出、确认分仓方案 | placement.md |
| Shipments | 读取货件、箱/件/托盘、名称和地址、tracking | shipments.md |
| Content Updates | 预览并确认已建货件内容变更 | shipment-content-updates.md |
| Delivery | delivery window 与 delivery challan | delivery-windows-and-documents.md |
| Self-Ship | India 自配送预约槽与预约 | self-ship-appointments.md |
| Transportation | 生成、比较、确认运输方案 | transportation.md |
| Prep / Compliance / Labels | 预处理、合规和商品标签 | prep-compliance-labels.md |
| Async Status | 查询 operationId 的执行状态 | asynchronous-operations.md |
| Retained v0 | prep instructions、箱唛、BOL、旧货件查询 | legacy-v0.md |
cancelInboundPlan、confirmPackingOption、confirmPlacementOption、confirmShipmentContentUpdatePreview、confirmDeliveryWindowOptions、cancelSelfShipAppointment、scheduleSelfShipAppointment、confirmTransportationOptions。confirmTransportationOptions 可能接受运输费用;确认前展示每个 shipment 的 option、费用、币种、时效与 expiration。不得替用户默认选择收费项。operationId 后,只调用 get_inbound_operation_status.py 查询。IN_PROGRESS 时停止并告知稍后再查;FAILED 时展示 operationProblems,不得进入下游写步骤;仅 SUCCESS 可继续。updateInboundPlanName、updateShipmentName 的 204 空 body 是成功,不当作解析失败。getLabels / getBillOfLading 必须使用 getShipment 返回的 shipmentConfirmationId;脚本同时接受该别名。下载 URL 可能很快过期,应在取得后立即下载,不要长期保存 URL。完整标准路径、Pack Later、India、自有承运人和 shipment content update 流程见 references/workflows.md。市场限制见 references/marketplace-constraints.md。
linkfox/<YYYY-MM-DD>/<session>/data/linkfox-amazon-store-fulfillment-inbound-<timestamp>.json;stdout 会打印实际路径。--inline 强制打印完整 JSON。developerProxy.errcode,再判断 httpStatus,最后读取 operation 结果字段。references/apis/*.md 分组文档。问题反馈使用 skillName: linkfox-amazon-store-fulfillment-inbound,并附脱敏后的 operation、关联 ID 与 developerProxy 响应。
同一店铺连续收到 Amazon SP-API 的 400、403、404 或 429 时,网关会返回 450、453、454 或 459 并短暂冷却。这些自定义状态码不是 Amazon 原生状态,也不表示封号;目的是避免持续异常或高频调用扩大店铺风险。
| 状态与 message | 范围 | 触发与冷却 | 处理 |
|---|---|---|---|
450:400,请求异常,请优化您的参数 | 店铺+接口 | 60 秒内超过 3 次:5 分钟;10 分钟内超过 4 次:20 分钟 | 停止原参数重试,检查必填字段、marketplace、ID、日期和请求体 |
453:403,店铺未授权,请先授权 | 店铺全部接口 | 60 秒内超过 2 次:5 分钟;10 分钟内超过 4 次:30 分钟 | 停止该店铺调用,检查授权、权限、店铺归属和区域 |
454:404,资源不存在,请优化您的参数 | 店铺+接口 | 60 秒内超过 3 次:5 分钟;10 分钟内超过 4 次:30 分钟 | 确认资源 ID、所属店铺/站点、资源状态和接口路径 |
459:429限流中,请降低频率 | 店铺+接口 | 首次:15 秒;2 分钟内超过 2 次:30 秒;3 分钟内超过 4 次:2 分钟 | 降低并发、分页和轮询频率并逐级退避 |
retryAfter、blockedUntil,没有时按表中时长说明。reportId、feedId 等任务 ID;写操作结果不确定时先查询状态,不直接重放。不消耗算力(以网关实际计费为准)。
更多跨境 Skill: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
SKILL.md and 73 other files (scripts, references) in skills/linkfox-amazon-store-fulfillment-inbound of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Amazon Store Fulfillment Inbound 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 Amazon Store Fulfillment Inbound this skilllinkfox-ai/linkfox-skills | 107 | — | ~1.9k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 47 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| PPT Masterhugohe3/ppt-master | 59k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
linkfox-ai/linkfox-skills
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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-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-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-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…
Works with
亚马逊 FBA 入仓与 Fulfillment Inbound 全流程管理。用于创建和管理 inbound plan,处理装箱、placement、shipment、货件内容更新、送达窗口、自配送预约、运输方案、商品合规、预处理、箱唛标签、提单及异步操作状态。用户提到 FBA 入库计划、Send to Amazon、创建入仓计划、packing option、placement…. Linkfox Amazon Store Fulfillment Inbound is an agent skill from linkfox-ai/linkfox-skills.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-fulfillment-inbound -a claude-code`. Or copy the skill folder (skills/linkfox-amazon-store-fulfillment-inbound in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-amazon-store-fulfillment-inbound in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-store-fulfillment-inbound -a codex`. Or copy the skill folder (skills/linkfox-amazon-store-fulfillment-inbound in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-amazon-store-fulfillment-inbound in your project. Codex loads it when a task matches its description.
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-amazon-store-fulfillment-inbound -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-amazon-store-fulfillment-inbound, .gemini/skills/linkfox-amazon-store-fulfillment-inbound, .github/skills/linkfox-amazon-store-fulfillment-inbound and .opencode/skills/linkfox-amazon-store-fulfillment-inbound in your project.
Going by SKILL.md and its folder, Linkfox Amazon Store Fulfillment Inbound needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
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.
Linkfox Amazon Store Fulfillment Inbound is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.7k 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 11k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Amazon Store Fulfillment Inbound: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.