Agent skill

AI Hotspots

by huangruiteng in huangruiteng/CS-Notes

Track and synthesize current AI hotspots into a bilingual HTML daily report.

Install AI Hotspots

skills CLI

$ npx skills add huangruiteng/CS-Notes --skill ai-hotspots -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install huangruiteng/CS-Notes ai-hotspots --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/huangruiteng/CS-Notes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/ai-hotspots .claude/skills/ai-hotspots && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "ai-hotspots" agent skill from https://github.com/huangruiteng/CS-Notes/tree/master/.codex/skills/ai-hotspots into .claude/skills/ai-hotspots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-hotspots", 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

$skill-installer install https://github.com/huangruiteng/CS-Notes/tree/master/.codex/skills/ai-hotspots

Type 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.

skills CLI

$ npx skills add huangruiteng/CS-Notes --skill ai-hotspots -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install huangruiteng/CS-Notes ai-hotspots --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/huangruiteng/CS-Notes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/ai-hotspots .agents/skills/ai-hotspots && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ai-hotspots" agent skill from https://github.com/huangruiteng/CS-Notes/tree/master/.codex/skills/ai-hotspots into .agents/skills/ai-hotspots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-hotspots", 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.

skills CLI

$ npx skills add huangruiteng/CS-Notes --skill ai-hotspots -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install huangruiteng/CS-Notes ai-hotspots --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/huangruiteng/CS-Notes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/ai-hotspots .cursor/skills/ai-hotspots && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ai-hotspots" agent skill from https://github.com/huangruiteng/CS-Notes/tree/master/.codex/skills/ai-hotspots into .cursor/skills/ai-hotspots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-hotspots", 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

$ gemini skills install https://github.com/huangruiteng/CS-Notes.git --path .codex/skills/ai-hotspots

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add huangruiteng/CS-Notes --skill ai-hotspots -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install huangruiteng/CS-Notes ai-hotspots --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/huangruiteng/CS-Notes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/ai-hotspots .gemini/skills/ai-hotspots && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "ai-hotspots" agent skill from https://github.com/huangruiteng/CS-Notes/tree/master/.codex/skills/ai-hotspots into .gemini/skills/ai-hotspots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-hotspots", 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.

GitHub CLI

$ gh skill install huangruiteng/CS-Notes ai-hotspots

Installs 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).

skills CLI

$ npx skills add huangruiteng/CS-Notes --skill ai-hotspots -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/huangruiteng/CS-Notes.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/ai-hotspots .github/skills/ai-hotspots && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "ai-hotspots" agent skill from https://github.com/huangruiteng/CS-Notes/tree/master/.codex/skills/ai-hotspots into .github/skills/ai-hotspots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-hotspots", 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.

skills CLI

$ npx skills add huangruiteng/CS-Notes --skill ai-hotspots -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install huangruiteng/CS-Notes ai-hotspots --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/huangruiteng/CS-Notes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/ai-hotspots .opencode/skills/ai-hotspots && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ai-hotspots" agent skill from https://github.com/huangruiteng/CS-Notes/tree/master/.codex/skills/ai-hotspots into .opencode/skills/ai-hotspots/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-hotspots", 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: ai-hotspots
GitHub stars: 4k
Token cost: ~1.2k tokens
SKILL.md length: 629 words
Files: 3 (incl. references)
Skills in repo: 39
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Track and synthesize current AI hotspots into a bilingual HTML daily report.

Works in 4 steps: Agent infra, coding agents,… → RL infra, agent runner,… → LLM serving constraints for agent… → …
The user says AI热点
SKILL.md covers Trigger, Sources, Selection Rules and Workflow, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

AI Hotspots is an agent skill from huangruiteng/CS-Notes. Track and synthesize current AI hotspots into a bilingual HTML daily report. Use when the user says "AI热点", asks for AI日报/AI日报 HTML/AI hot topics, or wants the best recent AI products, papers, viewpoints, and cognition-shifting items from AI/news aggregators.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/source-list.md`).

It sits in Writing & Content, covering Translation. The licence is MIT.

When your agent uses it

The user says AI热点
Asks for AI日报/AI日报 HTML/AI hot topics
Wants the best recent AI products
Cognition-shifting items from AI/news aggregators

Example prompts

“/ai-hotspots”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Agent infra, coding agents, memory/context/runtime/eval.
RL infra, agent runner, rollout/replay/reward.
LLM serving constraints for agent runtime, vLLM, SGLang, Ray, verl.
AI product interfaces and RecSys/search + LLM.

What it can do on your machine

Read from SKILL.md and the folder at commit f7b4e92. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI Hotspots loads about 1.2k tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 629 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~68
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.7k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from huangruiteng/CS-Notes at commit f7b4e92, republished under its MIT licence (© huangruiteng). 629 words, ~1,249 tokens.

Download SKILL.mdSave it as .claude/skills/ai-hotspots/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: ai-hotspots
description: Track and synthesize current AI hotspots into a bilingual HTML daily report. Use when the user says "AI热点", asks for AI日报/AI日报 HTML/AI hot topics, or wants the best recent AI products, papers, viewpoints, and cognition-shifting items from AI/news aggregators.

AI Hotspots

Use this skill to produce a high-signal AI daily report, not a raw hot-list dump.

Trigger

When the user says AI热点, treat it as:

text

Find new AI-related products, papers, viewpoints, and cognition-shifting materials from the tracked sources. Pick up to 10 well-supported items. If an item is longer than 1000 Chinese characters or roughly 700 English words, summarize it in <=100 Chinese characters plus the link. Return a detailed bilingual AI daily report in HTML page format.

Default delivery: do not paste the full HTML source into chat. Save a polished HTML report under .local/ai-hotspots/reports/ai-daily-YYYY-MM-DD.html, then respond with a compact Markdown digest and a file link. Paste raw HTML only if the user explicitly asks for source code.

If the user asks to schedule it every morning, create an automation only after the wake-up time is clear.

Sources

Read references/source-list.md for the default source set and source roles.

Use the listed aggregators as discovery surfaces. For factual or technical claims, follow primary sources before ranking when possible:

product pages, launch posts, docs, release notes;
papers, arXiv pages, conference pages;
official repos, issues, PRs, changelogs;
original interviews or first-party engineering blogs.

Do not treat social posts or aggregator summaries as final truth.

Selection Rules

Aim for 10 items unless the user asks for another count; return fewer when evidence quality is insufficient and explain the coverage. Prefer:

new products or features with credible adoption or differentiated UX;
papers/repos that change agent infra, model behavior, evaluation, memory, RL, inference, or developer tooling;
sharp viewpoints from credible builders/researchers;
cognition updates that alter how the user should think, build, evaluate, or invest attention.

Rank for the user's current priorities:

Agent infra, coding agents, memory/context/runtime/eval.
RL infra, agent runner, rollout/replay/reward.
LLM serving constraints for agent runtime, vLLM, SGLang, Ray, verl.
AI product interfaces and RecSys/search + LLM.

Demote items that are only funding/news hype, duplicate commentary, thin product marketing, or unverifiable rumor.

Workflow

Check the current date and browse live sources; this skill depends on recent information.
Scan at least two different source types when possible: aggregator + primary source, paper + repo, product page + social reaction.
Deduplicate the same event across sources and keep the strongest original link.
Classify each candidate as Product, Paper, Viewpoint, Cognition, Tool/Repo, or Company/Market.
For long articles, write a <=100 Chinese character summary and keep the original link.
Produce a polished HTML document as a local file, then answer with a short Markdown digest: top 5 items, 3 trends, 1-3 actions, report path, and unread/access-blocked notes.

Show full SKILL.md (256 more words)Show less

HTML Output Contract

Create a complete HTML page. Keep it readable as a standalone browser page, not as a code snippet in chat.

Required sections:

title: AI Daily / AI 日报 - YYYY-MM-DD;
metadata: generated time, source window, source coverage, unread/access-blocked notes;
top 10 list: each item has rank, category, Chinese title, English title, source link, why it matters, bilingual summary, and suggested action;
pattern synthesis: 3-5 cross-item trends;
user's action queue: 1-3 concrete next actions mapped to the user's stated interests.

Visual requirements:

Use a restrained editorial layout: max-width content, clear hero, compact metadata, two-column desktop cards that become one column on narrow screens.
Each item card should expose rank, category, source, one-line Chinese judgment, short English note, and action. Avoid dense paragraphs.
Use neutral background, white cards, thin borders, and one accent color. Do not use raw tables for the main report.
Include a small source coverage block at the bottom so unread sources do not pollute the main reading flow.
Make links visible and scannable with source names, not bare URLs.

Use concise Chinese first, English second. Do not pad bilingual text if English adds no value; translate the core judgment, not every word mechanically.

Persistence

A report does not itself authorize queue mutations. If the user also requests material intake, use the project’s current material owner and supported workflow, verify its receipt/readback, and never append directly to retired candidate files. Without an active owner, provide reading suggestions only.

If access fails, mark the source or item as unread. Never pretend a source was read.

Files

SKILL.md and 2 other files (references) in .codex/skills/ai-hotspots of huangruiteng/CS-Notes.

SKILL.md
agents/openai.yaml
references/source-list.md

Open the folder on GitHubat commit f7b4e92

Compare with similar skills

AI Hotspots 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.

AI Hotspots compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
AI Hotspots this skillhuangruiteng/CS-Notes	4k	—	~1.2k	Automated safety check: Pass	MIT	2 days ago
Translation Diff ExportDevolutions/UniGetUI	26k	—	~1.1k	Automated safety check: Pass	MIT	yesterday
Sync Translationssymfony/symfony	31k	—	~1.9k	Automated safety check: Pass	MIT	today
Translation Diff ImportDevolutions/UniGetUI	26k	—	~750	Automated safety check: Pass	MIT	yesterday
Translation Diff TranslateDevolutions/UniGetUI	26k	—	~934	Automated safety check: Pass	MIT	yesterday
Generate Translationspayloadcms/payload	45k	—	~1.1k	Automated safety check: Pass	MIT	yesterday

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Questions about AI Hotspots

What does AI Hotspots do?

Track and synthesize current AI hotspots into a bilingual HTML daily report. AI Hotspots is an agent skill from huangruiteng/CS-Notes. Track and synthesize current AI hotspots into a bilingual HTML daily report.

When should I use AI Hotspots?

AI Hotspots fits situations like: the user says AI热点; asks for AI日报/AI日报 HTML/AI hot topics; wants the best recent AI products; cognition-shifting items from AI/news aggregators.

How do I install AI Hotspots in Claude Code?

Run `npx skills add huangruiteng/CS-Notes --skill ai-hotspots -a claude-code`. Or copy the skill folder (.codex/skills/ai-hotspots in huangruiteng/CS-Notes) into .claude/skills/ai-hotspots in your project. Claude Code loads it when a task matches its description.

How do I install AI Hotspots in Codex?

Run `npx skills add huangruiteng/CS-Notes --skill ai-hotspots -a codex`. Or copy the skill folder (.codex/skills/ai-hotspots in huangruiteng/CS-Notes) into .agents/skills/ai-hotspots in your project. Codex loads it when a task matches its description.

Can I use AI Hotspots 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 huangruiteng/CS-Notes --skill ai-hotspots -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-hotspots, .gemini/skills/ai-hotspots, .github/skills/ai-hotspots and .opencode/skills/ai-hotspots in your project.

What does AI Hotspots need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Hotspots is instructions for the agent only.

Does AI Hotspots access the network?

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.

Is AI Hotspots 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. Review the folder before installing.

What licence does AI Hotspots use?

AI Hotspots 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 AI Hotspots use?

About 1.2k tokens (SKILL.md is roughly 5k 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 412 tokens, read only when the agent opens those files.

What are the alternatives to AI Hotspots?

Skills that share tags, products or a category with AI Hotspots: Translation Diff Export (Devolutions/UniGetUI, 26k stars), Sync Translations (symfony/symfony, 31k stars), Translation Diff Import (Devolutions/UniGetUI, 26k stars) and Translation Diff Translate (Devolutions/UniGetUI, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Hotspots?

huangruiteng (a GitHub user) maintains it in huangruiteng/CS-Notes, which has 4,001 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 8, 2026.

Source: huangruiteng/CS-Notes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install AI Hotspots

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

AI Hotspots

Trigger

Sources

Selection Rules

Workflow

HTML Output Contract

Persistence

Files

Compare with similar skills

Similar skills

More from huangruiteng/CS-Notes

Related

Questions about AI Hotspots