Telegram RegisterThe public register of Telegram

Channel

👷 AI+ |AI提效工具&Tools推荐

@skillslib

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

442subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002153928980
TypeChannel
Username@skillslib
Description用 AI 把你的工作效率提高 10 倍,每周分享实战工作流、skills、Agent 🪧 AI趋势与工具情报站:@aipluscn 🎬 AI+ |视频制作社区: @longxiasq 🤖 AI+|机器人开发: @clawstaffs 🎨 AI+|AI做图&提示词分享 @ailibrarya 💬 AI+ 交流群:@NewAICommunity
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/skillslib

Growth

4428 Aug 2026, 03:18 — 442 subscribers8 Aug 2026, 05:05 — 442 subscribers8 Aug 2026, 03:188 Aug 2026, 05:05
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 441–443 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 05:05442no change
8 Aug 2026, 03:18442first reading

Engagement

20 posts held, back to 16 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.1%
avg views ÷ 442 subscribers
Avg views / post
57.8
19 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
20
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 4 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (16 July 20267 August 2026)
Views total1,099
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:05 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
67
Videos
20
Links
79

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

4 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
250.0%
125.0%
👍125.0%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 4 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 16 July 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

7 Aug 2026, 08:06 UTC11 views1 reactionsread 8 August 2026
Photo

Adobe 全家桶已经可以直接在 ChatGPT 里用了。 从 8 月 6 日开始,Adobe 把 Photoshop、Premiere、Acrobat、Lightroom、Illustrator、InDesign、Firefly 等 70 多项创意工具接入 ChatGPT。现在不需要先打开 Adobe 软件,再一步步找功能,很多任务可以直接通过对话完成。 在 ChatGPT 里的使用方式也比较简单: • 打开 ChatGPT 设置 • 进入插件 / Apps 页面 • 添加 Adobe • 在输入框里输入 @Adobe • 直接描述你要完成的任务 例如可以直接说: @Adobe 把这张照片背景去掉,并调整成适合电商主图的效果。 或者: @Adobe 把这段视频剪成 30 秒竖版短视频,加字幕并优化节奏。 也可以处理文档类任务: @Adobe 把这份内容整理成 PDF,并重新排版。 如果登录 Creative

👍1

5 Aug 2026, 08:36 UTC24 viewsread 8 August 2026
Photo

🤖 不想再被算法"投喂"?这个开源 AI 工具帮你打造自己的推荐流 如果你觉得 B 站、抖音、小红书推荐的内容越来越"跑偏",可以看看这个开源项目 OpenBiliClaw。 它会分析你在多个平台上的浏览、点赞、收藏、关注等行为,在本地生成个人兴趣画像,并主动发现你可能真正感兴趣的内容,而不是完全依赖平台推荐算法。 目前支持: 📺 Bilibili 🎵 抖音 📕 小红书 ▶️ YouTube 🐦 X(Twitter) 💬 Reddit 📖 知乎 等多个内容平台。 整个兴趣画像和推荐记录默认保存在本地电脑,支持浏览器插件、桌面客户端和 Docker 等多种部署方式,更适合关注隐私和数据可控性的用户。 一句话: OpenBiliClaw 想做的不是替代内容平台,而是把推荐算法的控制权重新交还给用户,打造属于自己的跨平台 AI 信息流。 🔗项目地址: https://github.com/whiteguo233/Open

5 Aug 2026, 08:33 UTC19 viewsread 8 August 2026
Photo

🎮 一句话生成网页游戏!港中文开源 AI 游戏开发智能体 OpenGame 香港中文大学 MMLab 开源了 AI 游戏开发智能体 OpenGame。只需输入一段自然语言描述,它就能自动完成网页游戏开发流程,包括项目搭建、代码生成、资源组织、Bug 修复和测试,最终输出一个可直接在浏览器运行的游戏,全程无需手写代码。 OpenGame 内置模板选择与自动调试能力,可根据需求匹配合适的游戏框架,并持续修复开发过程中出现的问题。同时,项目结合专门面向游戏开发训练的 GameCoder-27B 模型,进一步提升代码质量和游戏生成效果。 目前,OpenGame 适用于快速制作游戏 Demo、产品原型验证以及 AI 辅助开发等场景,能够帮助开发者更快将创意转化为可运行的网页游戏。 一句话: AI 编程正在从"帮你写代码",升级到"帮你交付完整应用"。随着游戏开发智能体不断成熟,未来一句话生成可玩的小游戏,或将成为 AI Codin

5 Aug 2026, 03:37 UTC18 viewsread 8 August 2026
Photo

🧩 AI 3D 编辑迎来新突破!港中文等推出 CNS-Edit++,让 3D 模型也能像 PS 一样局部修改 来自香港中文大学、新加坡国立大学、香港科技大学、Autodesk AI Lab 等机构联合发布了最新 3D 编辑框架 CNS-Edit++。相比上一代只能针对单一类别模型编辑,新版本首次实现跨类别、跨模型的通用 3D 编辑,可适配 TRELLIS、Direct3D-S2 等主流 AI 3D 基础模型。 与传统 AI 生成 3D 模型"改一点就要重新生成"不同,CNS-Edit++ 可以直接对模型局部进行精准修改,同时尽可能保持整体结构和语义一致。论文目前支持 复制、删除、缩放、局部拖拽、区域拖拽、部件迁移 六类编辑操作,并可自由组合完成更复杂的修改任务。 研究团队在 ShapeNet、Objaverse 等多个公开数据集上的实验显示,该方法在编辑质量和结构保持方面均优于目前主流方案。 一句话: AI 3D 正从"

4 Aug 2026, 11:42 UTC32 viewsread 8 August 2026

AI+ 系列: 🪧 AI趋势与工具情报站:@aipluscn 🎬 AI+ |视频制作社区: @longxiasq 🎨 AI+|AI做图&提示词分享 @ailibrarya 👷 AI+|AI提效工具&Tools推荐 @skillslib 🤖 AI 新闻&资源搜索机器人: @ezsou_bot

3 Aug 2026, 10:35 UTC36 viewsread 8 August 2026

倪海厦视角的中医 Agent Skill 开源 这个项目把倪海厦相关的中医教学体系整理成可供 AI 使用的结构化知识,包括六经辨证、《伤寒论》《金匮要略》《神农本草经》等内容,让 Agent 能够按照相应的辨证思路进行分析和知识检索。 项目更适合作为中医知识学习、资料检索和辅助分析工具,不建议直接让 AI 替代医生进行疾病诊断或自行开方用药,涉及实际病症和治疗方案仍应结合正规执业医师判断。 🌐GitHub

3 Aug 2026, 09:46 UTC38 viewsread 8 August 2026
Photo

🚀 灵光 App:不会写代码,也能做自己的 AI 应用 AI 应用正在进入全民创作时代。 灵光 App 宣布,其 「闪应用」创作者已突破 400 万。平台上的大多数创作者并非程序员,而是学生、老师、心理咨询师、游戏爱好者等普通用户,通过自然语言即可创建可交互、可分享的 AI 应用。 目前平台已经涌现出大量有趣的应用,包括 AI 模拟器、心理测试、塔罗、AI 解梦、今天吃什么、职业规划 等,越来越多 AI 应用开始从效率工具走向娱乐、学习和生活场景。 对于创作者来说,更值得关注的是近期新增的能力: ✅ 支持上传文档、表格、图片生成 AI 应用 ✅ 支持 Codex、Claude Code、Cursor 等 AI Coding 工具生成的项目一键部署 ✅ 新增热门榜、创作者主页等分发能力,方便应用传播 一句话: 如果你有一个想法,但不会开发,可以试试用灵光把它快速做成一个可分享的 AI 应用。AI 应用创作的门槛,正在越来

30 Jul 2026, 05:07 UTC59 views1 reactionsread 8 August 2026
Photo

🎵 AI 编曲大师再进化!Google 正式发布 Lyria 3.5 音乐大模型! Google 这次把福利直接挂钩了 Gemini 的高级订阅,根据你的会员等级可以丝滑解锁 Google Flow Music 的对应方案: • AI Plus 会员 ➡️ 顺延解锁 入门版(Starter Plan) • AI Pro 会员 ➡️ 顺延解锁 高级版(Plus Plan) • AI Ultra 会员 ➡️ 直接拉满 尊享版(Member Plan) 🔗 访问路径: https://www.flowmusic.app/

1

29 Jul 2026, 18:39 UTC62 views1 reactionsread 8 August 2026

Bot/MiniApp推荐 名称:「幻梦AI陪聊,AI聊天工具」 访问链接:「https://t.me/fancyaichatbot?start=u_0xad8684」 描述:「幻梦AI,一款让你怦然心动的AI角色扮演产品,满足你的一切幸福幻想。」

1

29 Jul 2026, 08:33 UTC63 viewsread 8 August 2026

Bot/MiniApp推荐 名称:「ChatGPT 5 | Gemini 3 | GPT5 创建图片,视频,歌曲,支持网络搜索」 访问链接:「https://t.me/chatgpt_general_bot?start=refdxA4」 描述:「用于访问 ChatGPT、Midjourney、Nano Banana、Claude、Gemini 和其他神经网络的排名第一的多功能聚合工具」

29 Jul 2026, 07:50 UTC65 views1 reactionsread 8 August 2026

Bot/MiniApp推荐 名称:「ChatGPT AI机器人Ps图 生成视频」 访问链接:「https://t.me/chatgpt?start=invite_6927807541」 描述:「支持Supports,ChatGPT-5.3,Grok-4.1,Claude-4.6,Gemini-3.1Pro,DeepSeek-V3.2,Sora-2」

1

Showing the 12 most recent of 20 posts we hold for @skillslib. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 277,583 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 August 2026 — this entry's latest reading, not the date you are reading this.

“👷 AI+ |AI提效工具&Tools推荐” (@skillslib), 442 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/skillslib.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.