N8n Docs Assistant
n8n-io/n8n
Answers n8n product, setup, credential, node, hosting, API, and usage questions from current n8n docs.
通用中文创作与改稿 Skill。用于知乎回答、论坛长帖、公众号文章、博客、评论、人物故事、历史叙事、新闻与行业解读、科普、教程、评测、个人叙事、小说、故事、对白、口播和演讲稿。默认写成一个见过事、查过材料、愿意把来龙去脉讲清楚的人在说话,重点保留中文互联网长回答与长帖的活人感和自然中文韵律,避免空泛的机构腔、喊口号式演说腔、营销腔和模型腔。非虚构长文先检查材料够不够,材料不足时研究、追问或缩短,…
$ npx skills add olo-dot-io/Uni-CLI --skill human-writing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install olo-dot-io/Uni-CLI human-writing --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/olo-dot-io/Uni-CLI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/human-writing .claude/skills/human-writing && 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 "human-writing" agent skill from https://github.com/olo-dot-io/Uni-CLI/tree/main/skills/human-writing into .claude/skills/human-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-writing", 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/olo-dot-io/Uni-CLI/tree/main/skills/human-writingType 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 olo-dot-io/Uni-CLI --skill human-writing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install olo-dot-io/Uni-CLI human-writing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/olo-dot-io/Uni-CLI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/human-writing .agents/skills/human-writing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "human-writing" agent skill from https://github.com/olo-dot-io/Uni-CLI/tree/main/skills/human-writing into .agents/skills/human-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-writing", 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 olo-dot-io/Uni-CLI --skill human-writing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install olo-dot-io/Uni-CLI human-writing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/olo-dot-io/Uni-CLI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/human-writing .cursor/skills/human-writing && 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 "human-writing" agent skill from https://github.com/olo-dot-io/Uni-CLI/tree/main/skills/human-writing into .cursor/skills/human-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-writing", 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/olo-dot-io/Uni-CLI.git --path skills/human-writing--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 olo-dot-io/Uni-CLI --skill human-writing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install olo-dot-io/Uni-CLI human-writing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/olo-dot-io/Uni-CLI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/human-writing .gemini/skills/human-writing && 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 "human-writing" agent skill from https://github.com/olo-dot-io/Uni-CLI/tree/main/skills/human-writing into .gemini/skills/human-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-writing", 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 olo-dot-io/Uni-CLI human-writingInstalls 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 olo-dot-io/Uni-CLI --skill human-writing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/olo-dot-io/Uni-CLI.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/human-writing .github/skills/human-writing && 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 "human-writing" agent skill from https://github.com/olo-dot-io/Uni-CLI/tree/main/skills/human-writing into .github/skills/human-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-writing", 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 olo-dot-io/Uni-CLI --skill human-writing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install olo-dot-io/Uni-CLI human-writing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/olo-dot-io/Uni-CLI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/human-writing .opencode/skills/human-writing && 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 "human-writing" agent skill from https://github.com/olo-dot-io/Uni-CLI/tree/main/skills/human-writing into .opencode/skills/human-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "human-writing", 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.
human-writing通用中文创作与改稿 Skill。用于知乎回答、论坛长帖、公众号文章、博客、评论、人物故事、历史叙事、新闻与行业解读、科普、教程、评测、个人叙事、小说、故事、对白、口播和演讲稿。默认写成一个见过事、查过材料、愿意把来龙去脉讲清楚的人在说话,重点保留中文互联网长回答与长帖的活人感和自然中文韵律,避免空泛的机构腔、喊口号式演说腔、营销腔和模型腔。非虚构长文先检查材料够不够,材料不足时研究、追问或缩短,…
Human Writing is an agent skill from olo-dot-io/Uni-CLI. 通用中文创作与改稿 Skill。用于知乎回答、论坛长帖、公众号文章、博客、评论、人物故事、历史叙事、新闻与行业解读、科普、教程、评测、个人叙事、小说、故事、对白、口播和演讲稿。默认写成一个见过事、查过材料、愿意把来龙去脉讲清楚的人在说话,重点保留中文互联网长回答与长帖的活人感和自然中文韵律,避免空泛的机构腔、喊口号式演说腔、营销腔和模型腔。非虚构长文先检查材料够不够,材料不足时研究、追问或缩短,绝不用重复解释灌字数。现实内容额外核验事实、引语、数据与用户亲历,虚构内容可以创造人物、场景、对白、心理与情节。成稿正文严禁冒号、破折号、“不是……而是……”及同类翻案句,并清除商业黑话和模型惯用黑话。
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts and reference files (for example `agents/openai.yaml`, `dist/human-writing-lite.md` and `references/fiction.md`).
It sits in Productivity & Automation. It works with Model Context Protocol. The repository describes itself as: One command for every interface—search, run, and inspect real software across APIs, browsers, desktops, local tools, and MCP. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9316f93. 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), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Human Writing loads about 1.7k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 172 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 olo-dot-io/Uni-CLI at commit 9316f93, republished under its MIT licence (© olo-dot-io). 172 words, ~1,667 tokens.
.claude/skills/human-writing/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.本 Skill 是 Uni-CLI 仓库所有文字产出的首要写作规则。每次回复用户,以及撰写 README、文档、界面文案、Issue、PR、发布说明和文章以前,都要先读本文件。长文按任务读取对应参考文件。规则同时约束中文和英文。
项目内再加六条硬规则。
unicli search "<topic> recent memes and discussion",随后按仓库的路由规则选择健康来源。只有一个表达能缩短解释,并且脱离平台语境仍然读得懂时才使用。每篇最多一处。没有合适内容就省略。严禁编造热度、出处和流行说法。python3 skills/human-writing/scripts/check_prose.py <path>。聊天回复在发送前人工复查同一组硬禁令。代码、结构化数据、日志、外部原文和机器生成文件只保留各自的技术语法。围绕它们写给人看的说明仍受本 Skill 约束。
默认把文章写成一篇值得读完的中文长帖。读者应当感觉对面有一个具体的人。这个人知道一些事,也有不知道的地方。他愿意讲细节,敢下判断,偶尔岔开一句,随后还能把话接回来。
不要把“活人感”理解成口头禅、粗口、错别字和网络梗。它首先来自材料,其次来自说话位置,最后才是语气。
这一步先于提纲和动笔。用户要求的字数不能跳过它。
现实作品靠前两类材料,虚构作品靠第三类材料。混合创作先把两部分分开。
现实稿里,模型临时想出的“比如有个人”、没有来源的典型场景、常识推演、抽象观点的后果、比喻与同义改写,都不能拿来撑篇幅。把“记录方便”“声音保留状态”“检索找回旧内容”各解释五遍,手里仍然只有三条材料。
虚构稿可以创造人物、现场和细节,不需要为它们寻找现实出处。每个主要段落或场景仍要有动作、选择、关系变化、信息变化或后果。只换景色和说法,没有事情发生,也不能拿来撑篇幅。
非虚构作品计划达到一千二百字时,先在内部逐条写出至少五件具体材料,并注明它来自用户哪句话或哪份可靠来源。只写一个概括性的类别不算。五件材料还要能组成一条实际过程,不能是五句相邻的道理。
非虚构稿列不出五件,就先别写长稿。这一轮不能输出标题和长文正文。目标字数、用户催促和“直接写”都不能把材料变多。
现实材料不够时,只能选择一种处理。
现实稿动笔前记清每件重要材料从哪里来。说不出来路的内容不能负责托住事实段落。虚构稿改为检查每个场景由哪个人物目标、动作或变化托住,不给虚构细节伪造来源。不要把这些内部检查交给用户。
现实观点稿有一种高频错误要直接拦住。用户只给“输入更方便”“声音能保留状态”“AI 可以找回旧内容”这类三条抽象想法,又要求一千多字,这仍然只有三条材料。不能分别补上用途、意义、风险和未来,再写成十几段。应当先找真实产品、使用过程、研究或用户经历。找不到就问,用户不让问而且研究后仍然不足,才写短答。
references/forum-prose.md。references/reality.md。references/fiction.md。用户要求帖子体小说或第一人称故事时,再同时读取 references/forum-prose.md。references/formats.md。references/revision.md。不要在动笔前加载详细审稿规则。不要为了保险一次加载全部参考文件,只读当前任务确实命中的部分。真正的混合任务可以读取多个文件,references/revision.md 仍留到初稿以后。创作时以正向目标为主,已经写在本文件里的交付禁令留到初稿完成后再逐项检查。
按下面的顺序处理。
references/fiction.md、references/reality.md 和 references/formats.md 中与当前任务直接相关的规则。references/forum-prose.md 与本文件里的默认散文写法。references/revision.md 的改稿规则与检查脚本的提醒。具体文体覆盖通用写法。现实稿的来源要求不能压到纯虚构上,散文的完整主干不能压到诗歌分行和人物对白上。检查脚本只能执行已经写明的硬禁令,警告项不能替作者决定文体。
真人、现实事件、数字、引语和用户经历都要核准。用户没提供的亲历、现场、对白和心理,不能补成事实。
可以创造人物、地点、现场、对白、心理和结局。人物、时间、因果与世界规则要前后接得上。
先分开现实中必须准确的部分和可以创造的部分。只核会影响故事与现实判断的事实。
用户说了“小说”“虚构”“假设”“随便编”,直接创作。用户要求真实、纪实、亲历或遵循历史,先核验再写。
在内部回答下面五件事,不把答案原样交给用户。
现实稿的第三项太少,回到开稿前的材料检查。不要用哲理、象征、想象现场和重复结论补字数。六千字现实长文需要能展开多个阶段、案例或现实关系。虚构稿若缺少人物目标、行动和场景变化,回到 references/fiction.md 补出故事,不向用户索要不存在的现实出处。
现实材料不够时先停在这里。能查到公开材料就研究。作品依赖用户体验、情绪和私人判断,就一次问完下面三件事。
不要先交一篇空稿,再期待用户往里补活人感。
现实稿要求直接写而且无法补材料时,宁可交一篇更短、更实的作品。篇幅是目标,材料边界是底线。虚构任务直接按授权创造,篇幅由事件和场景变化托住。
个人经历缺少关键材料时,最多问三句。用户明确要求不追问或直接出稿,就先研究,随后缩小题目或缩短篇幅,不能把新增经历安到用户身上。
第一稿从具体说话者和材料出发。像给一个感兴趣但不了解此事的人解释,边讲事情,边处理他下一步会产生的疑问。
下面是现代白话散文的默认写法。诗歌、剧本、人物对白和实验写作服从具体文体规则,不能为了满足散文句法而改坏作品。
用下面这组句子校准方向。
他毕业后离开上海,去了成都。那套量化程序已经跑过一段时间,他觉得可以全职试试。收入会不会稳定,当时没人知道。
这比“他关掉一条好走的路,把命运押上赌桌”更接近目标。前一种写法给动作、条件与风险,后一种写法只有姿势。
论坛感不等于“老铁”“兄弟们”“谢邀”“泡杯茶慢慢说”。烟头、啤酒、冷馒头、深夜屏幕和突然响起的电话,也不能凭空替文章增加真实感。
现实稿里,没有来源的精确时间、神态、天气、房间摆设和对白都是假细节。假细节越具体,AI 味越重。虚构稿可以创造这些内容,细节必须跟着人物视角与行动走,不能只负责穿上论坛服装。
现实稿真正有用的是信息来路。写清作者在哪里知道这件事,起初哪里想错了,哪条材料改变了判断,哪一块到现在仍拿不准。只挑当前文章确实拥有的部分,不要凑齐。虚构稿的可信感来自人物怎样知道、误解和发现,不伪造现实来源。
下面几项覆盖标题、小标题、正文、图片说明和引用转述。命中一项就不能交稿。
先明白一件事。这里禁的是修辞动作,不是字面。把一个禁用句式换一套字继续做同一个动作,仍然算命中。
—、双破折号 —— 和连接号式破折号 –。: 与 :。人物原话另起一句。网址、代码与机器字段除外。references/revision.md 区分绝对禁词和需要结合语境判断的词,检查脚本不得自行增加未写明的硬禁词。“不只……还……”是正常中文的递进,可以用。它出现在翻案位置、用来给下文抬价时,按翻案腔处理。
初稿写完以后再执行这些检查。修改违禁句时,先找它原本想说的事实,随后用普通句子说出来。不要寻找另一种漂亮句式替换。
长稿可以保存为 Markdown 或文本后运行 scripts/check_prose.py <稿件路径>。脚本失败就继续修改,直到禁用项清零。
用户只要作品,就只交作品。不要展示内部提纲、规则检查和创作过程。references/reality.md 要求的开头检索痕迹是正文的一部分,不算创作过程。
来源的处理只有一条规则。全靠公开材料写成的事实稿,在文末列出对结论重要的少数来源;个人经历和观点稿不附。用户另有要求时听用户的。不把检索笔记塞进正文。
写作只服务当前作品。除本仓库的常驻约束外,不从单篇作品推断私人作者画像,也不另建平行写作规则。
© olo-dot-io, 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 10 other files (scripts, references) in skills/human-writing of olo-dot-io/Uni-CLI.
Open the folder on GitHubat commit 9316f93
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in olo-dot-io/Uni-CLI, which our catalogue first saw on October 7, 2026.
Human Writing 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 |
|---|---|---|---|---|---|---|
| Human Writing this skillolo-dot-io/Uni-CLI | 274 | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| N8n Docs Assistantn8n-io/n8n | 207k | — | ~550 | Automated safety check: Pass | Custom licence | |
| Planningn8n-io/n8n | 207k | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| AgentRQ Workspace Agentagentrq/agentrq | 1.1k | — | ~1.9k | Automated safety check: Pass | AGPL-3.0 | |
| Suggest Automationsn8n-io/n8n | 207k | — | ~2k | Automated safety check: Pass | Custom licence | |
| Webctlcosinusalpha/webctl | 419 | — | ~1.7k | Automated safety check: Pass | None |
n8n-io/n8n
Answers n8n product, setup, credential, node, hosting, API, and usage questions from current n8n docs.
n8n-io/n8n
ONLY for coordinated multi-artifact work: multiple workflows with dependencies, shared data-table schema/migration across tasks, or the user explicitly asked to review a plan first.
agentrq/agentrq
Guides a workspace agent through executing assigned tasks, replying to a remote human operator, and creating sub-tasks, memory and events inside an AgentRQ workspace.
n8n-io/n8n
Offer the three most common automations for a user as a single-choice card, from your own knowledge of their team and their apps, then build the one they choose once they confirm, or offer more.
cosinusalpha/webctl
Browser automation via CLI. An agent skill from cosinusalpha/webctl.
wangwingzero/huge-ai-search
Searches the live web through Google AI Mode via Huge AI Search (MCP or CLI).
olo-dot-io/Uni-CLI
Comprehensive guide to Uni-CLI — the open Agent-Computer Interface runtime for real software.
olo-dot-io/Uni-CLI
Evidence-driven repair workflow for a broken Uni-CLI adapter.
olo-dot-io/Uni-CLI
Create new Uni-CLI adapters by exploring websites and APIs. An agent skill from olo-dot-io/Uni-CLI.
olo-dot-io/Uni-CLI
Use Uni-CLI to interact with the current website, desktop-app, and system-tool catalog.
olo-dot-io/Uni-CLI
Route search queries to the best platform via unicli. An agent skill from olo-dot-io/Uni-CLI.
olo-dot-io/Uni-CLI
Command reference for Uni-CLI — the open Agent-Computer Interface runtime for real software.
Works with
Categories
通用中文创作与改稿 Skill。用于知乎回答、论坛长帖、公众号文章、博客、评论、人物故事、历史叙事、新闻与行业解读、科普、教程、评测、个人叙事、小说、故事、对白、口播和演讲稿。默认写成一个见过事、查过材料、愿意把来龙去脉讲清楚的人在说话,重点保留中文互联网长回答与长帖的活人感和自然中文韵律,避免空泛的机构腔、喊口号式演说腔、营销腔和模型腔。非虚构长文先检查材料够不够,材料不足时研究、追问或缩短,…. Human Writing is an agent skill from olo-dot-io/Uni-CLI.
Human Writing fits situations like: productivity & Automation work in your project.
Run `npx skills add olo-dot-io/Uni-CLI --skill human-writing -a claude-code`. Or copy the skill folder (skills/human-writing in olo-dot-io/Uni-CLI) into .claude/skills/human-writing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add olo-dot-io/Uni-CLI --skill human-writing -a codex`. Or copy the skill folder (skills/human-writing in olo-dot-io/Uni-CLI) into .agents/skills/human-writing 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 olo-dot-io/Uni-CLI --skill human-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/human-writing, .gemini/skills/human-writing, .github/skills/human-writing and .opencode/skills/human-writing in your project.
Going by SKILL.md and its folder, Human Writing needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Human Writing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k 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 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Human Writing: N8n Docs Assistant (n8n-io/n8n, 207k stars), Planning (n8n-io/n8n, 207k stars), AgentRQ Workspace Agent (agentrq/agentrq, 1.1k stars) and Suggest Automations (n8n-io/n8n, 207k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
olo-dot-io (a GitHub organization) maintains it in olo-dot-io/Uni-CLI, which has 274 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 4, 2026.
Source: olo-dot-io/Uni-CLI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.