Reelclaw
dansugc/reelclaw
Create, produce, and publish UGC-style short-form video reels at scale.
查询TikTok商品的关联带货视频数据,包括播放量、点赞、评论、分享、视频销量与GMV,分析商品的视频营销表现与达人内容效果。当用户提到TikTok商品视频、TikTok带货视频、商品关联视频、视频营销分析、达人视频表现、TikTok视频销量、TikTok video sales, product video analysis, influencer video performance…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-product-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-product-video --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-echotik-product-video .claude/skills/linkfox-echotik-product-video && 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-echotik-product-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-product-video into .claude/skills/linkfox-echotik-product-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-product-video", 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-echotik-product-videoType 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-echotik-product-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-product-video --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-echotik-product-video .agents/skills/linkfox-echotik-product-video && 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-echotik-product-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-product-video into .agents/skills/linkfox-echotik-product-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-product-video", 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-echotik-product-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-product-video --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-echotik-product-video .cursor/skills/linkfox-echotik-product-video && 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-echotik-product-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-product-video into .cursor/skills/linkfox-echotik-product-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-product-video", 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-echotik-product-video--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-echotik-product-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-echotik-product-video --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-echotik-product-video .gemini/skills/linkfox-echotik-product-video && 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-echotik-product-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-product-video into .gemini/skills/linkfox-echotik-product-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-product-video", 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-echotik-product-videoInstalls 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-echotik-product-video -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-echotik-product-video .github/skills/linkfox-echotik-product-video && 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-echotik-product-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-product-video into .github/skills/linkfox-echotik-product-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-product-video", 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-echotik-product-video -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-echotik-product-video --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-echotik-product-video .opencode/skills/linkfox-echotik-product-video && 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-echotik-product-video" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-echotik-product-video into .opencode/skills/linkfox-echotik-product-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-echotik-product-video", 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-echotik-product-video查询TikTok商品的关联带货视频数据,包括播放量、点赞、评论、分享、视频销量与GMV,分析商品的视频营销表现与达人内容效果。当用户提到TikTok商品视频、TikTok带货视频、商品关联视频、视频营销分析、达人视频表现、TikTok视频销量、TikTok video sales, product video analysis, influencer video performance…
Linkfox Echotik Product Video is an agent skill from linkfox-ai/linkfox-skills. 查询TikTok商品的关联带货视频数据,包括播放量、点赞、评论、分享、视频销量与GMV,分析商品的视频营销表现与达人内容效果。当用户提到TikTok商品视频、TikTok带货视频、商品关联视频、视频营销分析、达人视频表现、TikTok视频销量、TikTok video sales, product video analysis, influencer video performance, TikTok promotional videos, product marketing videos时触发此技能。即使用户未明确提及"EchoTik"或"商品视频",只要其需求涉及查看某个TikTok商品有哪些带货视频、视频的播放和转化数据,也应触发此技能。
Its SKILL.md is about 1.8k 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/echotik_list_product_video.py`).
It sits in Media & Creative, covering Video production and Influencer and creator marketing. It works with TikTok. The licence is MIT.
7 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 2 files in scripts/ (Python), 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 these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkfox Echotik Product Video loads about 1.8k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 769 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). 769 words, ~1,814 tokens.
.claude/skills/linkfox-echotik-product-video/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill guides you on how to query promotional videos associated with a TikTok Shop product, helping sellers analyze video marketing performance and identify effective influencer content strategies.
This tool retrieves the list of promotional videos linked to a specific TikTok product. Each video record includes engagement metrics (views, likes, comments, shares, favorites), estimated sales attribution (video sales count and GMV), video metadata (duration, resolution, publish date), and the creator (influencer) ID. This enables sellers to understand which videos drive the most sales for a product and what content patterns work best.
Required input: A productId is mandatory. You can obtain product IDs from the EchoTik product search tool (linkfox-echotik-product-search) or the new product ranking tool (linkfox-echotik-new-product-rank).
Sort fields: Videos can be sorted by views (1), likes (2), shares (3), video sales (4), video GMV (5), or publish date (6).
Pagination: pageSize must be a multiple of 10, max 100. The backend fetches in batches of 10 and merges results.
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
| productId | string | Yes | TikTok product ID | - |
| userId | string | No | Filter by influencer ID | - |
| productVideoSortField | integer | No | Sort field: 1=views, 2=likes, 3=shares, 4=video sales, 5=video GMV, 6=publish date | 1 |
| sortType | integer | No | Sort order: 0=ascending, 1=descending | 1 |
| minCreateTime | integer | No | Video publish start time (Unix timestamp in seconds) | - |
| maxCreateTime | integer | No | Video publish end time (Unix timestamp in seconds) | - |
| pageNum | integer | No | Page number | 1 |
| pageSize | integer | No | Results per page (multiple of 10, max 100) | 50 |
POST /echotik/listProductVideo(完整参数/响应/错误码见 references/api.md)python scripts/echotik_list_product_video.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-echotik-product-video-<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)total/costToken、最大列表字段的长度 + 前 3 条样本)--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。
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。1. Top videos by views for a product
{
"productId": "1729382310407603945",
"productVideoSortField": 1,
"sortType": 1,
"pageSize": 20
}2. Find highest-converting videos (by video sales)
{
"productId": "1729382310407603945",
"productVideoSortField": 4,
"sortType": 1,
"pageSize": 20
}3. Videos by a specific influencer for a product
{
"productId": "1729382310407603945",
"userId": "7234567890123456789",
"productVideoSortField": 1,
"sortType": 1
}4. Recent videos in a time range (sorted by GMV)
{
"productId": "1729382310407603945",
"minCreateTime": 1717200000,
"maxCreateTime": 1719792000,
"productVideoSortField": 5,
"sortType": 1
}5. Videos sorted by publish date (newest first)
{
"productId": "1729382310407603945",
"productVideoSortField": 6,
"sortType": 1,
"pageSize": 50
}officialUrl is available, provide it so users can view the video on TikTokcoverUrl is present, mention it so the user knows video thumbnails are availableduration (seconds) to a readable format (e.g., "1:30" for 90 seconds)hashTag when present to help users understand content themesplayAddr field may expire quickly; prefer officialUrl for sharing| User Says | Scenario |
|---|---|
| "Show me the promotional videos for this TikTok product" | Query videos by product ID |
| "Which videos are driving the most sales for this product" | Sort by video sales (field 4) |
| "What influencer videos are promoting this product" | General video list query |
| "Show me videos by a specific creator for this product" | Filter by userId |
| "Recent promotional videos for this product" | Filter by time range or sort by date |
| "Which TikTok videos have the highest GMV for this product" | Sort by video GMV (field 5) |
| "Analyze the video marketing performance of this product" | Comprehensive video list query |
linkfox-echotik-product-search instead)linkfox-echotik-new-product-rank instead)When users ask about "TikTok videos", determine whether they want videos associated with a specific product (this skill) or general TikTok video analytics (not this skill). If they mention a product ID or ask "what videos are promoting product X", this skill applies. If they ask about trending videos in general without a product context, this skill does not apply.
消耗 5 算力。
用户会因算力消耗而支付费用。请充分评估:当需要高频调用本技能,或用户对算力消耗量预期不足时,务必提醒用户,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:
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, visit 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 4 other files (scripts, references) in skills/linkfox-echotik-product-video of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
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.
Linkfox Echotik Product Video 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 Echotik Product Video this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Reelclawdansugc/reelclaw | 145 | 1 repos | ~8.2k | Automated safety check: Notes | None | |
| 04 Script Videominhnv0807/ai-business-skills | 609 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Bggg Tiktok Readvideobinggandata/bggg-skills | 605 | — | ~1.6k | Automated safety check: Pass | MIT | |
| ReelclawLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.4k | Automated safety check: Notes | MIT | |
| Karaoke CaptionsAI-Builder-Club/skills | 1.3k | — | ~850 | Automated safety check: Pass | None |
dansugc/reelclaw
Create, produce, and publish UGC-style short-form video reels at scale.
minhnv0807/ai-business-skills
Dung khi can viet kich ban video ngan — TikTok, Reels, Shorts — voi hook 3 thanh phan, cau truc theo giay va 2 bien the A/B de test.
binggandata/bggg-skills
把 TikTok、Reels、YouTube Shorts、UGC 广告、本地 MP4/MOV/WebM 等视频拆成 Codex 可读的视频上下文。
LeoYeAI/openclaw-master-skills
Create, produce, and schedule UGC-style short-form video reels at scale.
AI-Builder-Club/skills
Generate TikTok/Shorts-style karaoke captions using MLX Whisper, ASS subtitles, and FFmpeg libass.
taisly/agent
Free AI-first short-form video publishing to TikTok, Instagram Reels, YouTube Shorts, X, and Facebook from AI agents through Taisly.
linkfox-ai/linkfox-skills
1688平台以图搜图,通过商品图片精准检索外观相似或同款的1688货源,返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…
linkfox-ai/linkfox-skills
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-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-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
Categories
查询TikTok商品的关联带货视频数据,包括播放量、点赞、评论、分享、视频销量与GMV,分析商品的视频营销表现与达人内容效果。当用户提到TikTok商品视频、TikTok带货视频、商品关联视频、视频营销分析、达人视频表现、TikTok视频销量、TikTok video sales, product video analysis, influencer video performance…. Linkfox Echotik Product Video is an agent skill from linkfox-ai/linkfox-skills.
Linkfox Echotik Product Video fits situations like: tasks that involve Video production; tasks that involve Influencer and creator marketing.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-product-video -a claude-code`. Or copy the skill folder (skills/linkfox-echotik-product-video in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-echotik-product-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-echotik-product-video -a codex`. Or copy the skill folder (skills/linkfox-echotik-product-video in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-echotik-product-video 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-echotik-product-video -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-echotik-product-video, .gemini/skills/linkfox-echotik-product-video, .github/skills/linkfox-echotik-product-video and .opencode/skills/linkfox-echotik-product-video in your project.
Going by SKILL.md and its folder, Linkfox Echotik Product Video 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.
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 Echotik Product Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k 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 1.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Echotik Product Video: Reelclaw (dansugc/reelclaw, 145 stars), 04 Script Video (minhnv0807/ai-business-skills, 609 stars), Bggg Tiktok Readvideo (binggandata/bggg-skills, 605 stars) and Reelclaw (LeoYeAI/openclaw-master-skills, 2.2k 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.