News Aggregator Skill
cclank/news-aggregator-skill
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 44+ sources including Hacker News, Lobsters, Dev.to, GitHub, arXiv, Hugging Face Papers, AIHOT, TLDR…
Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights.
$ npx skills add iBigQiang/feedgrab --skill analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install iBigQiang/feedgrab analyzer --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/iBigQiang/feedgrab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzer .claude/skills/analyzer && 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 "analyzer" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/analyzer into .claude/skills/analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzer", 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/iBigQiang/feedgrab/tree/main/skills/analyzerType 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 iBigQiang/feedgrab --skill analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install iBigQiang/feedgrab analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analyzer .agents/skills/analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyzer" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/analyzer into .agents/skills/analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzer", 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 iBigQiang/feedgrab --skill analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install iBigQiang/feedgrab analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analyzer .cursor/skills/analyzer && 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 "analyzer" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/analyzer into .cursor/skills/analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzer", 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/iBigQiang/feedgrab.git --path skills/analyzer--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 iBigQiang/feedgrab --skill analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install iBigQiang/feedgrab analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analyzer .gemini/skills/analyzer && 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 "analyzer" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/analyzer into .gemini/skills/analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzer", 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 iBigQiang/feedgrab analyzerInstalls 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 iBigQiang/feedgrab --skill analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analyzer .github/skills/analyzer && 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 "analyzer" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/analyzer into .github/skills/analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzer", 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 iBigQiang/feedgrab --skill analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install iBigQiang/feedgrab analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iBigQiang/feedgrab.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analyzer .opencode/skills/analyzer && 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 "analyzer" agent skill from https://github.com/iBigQiang/feedgrab/tree/main/skills/analyzer into .opencode/skills/analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzer", 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.
analyzerContent Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights.
Analyzer is an agent skill from iBigQiang/feedgrab. Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights. Use when user asks to analyze, summarize, or extract key takeaways from content.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Summarization. The repository describes itself as: Universal content grabber — fetch, normalize, and digest content from 7+ platforms (WeChat, XHS, X/Twitter, YouTube, Bilibili, Telegram, RSS). The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 04291ba. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From 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.
Analyzer loads about 1k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 245 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); files beside SKILL.md are not scanned.
The full file from iBigQiang/feedgrab at commit 04291ba, republished under its MIT licence (© iBigQiang). 245 words, ~1,028 tokens.
.claude/skills/analyzer/SKILL.md (or your agent's skills folder).Any content → structured analysis report with actionable insights
When user sends content (URL, text, or transcript) with analysis intent:
/analyze [URL]Choose tool based on input type:
| Input | Tool |
|---|---|
| Tweet URL | fetch_tweet or Jina Reader |
| Web URL | WebFetch or Jina Reader |
| Local file | Read file directly |
| Transcript from video skill | Use directly |
Scan content across these dimensions. Only output dimensions with actual content — skip empty ones.
## 📖 Summary
[1-3 sentence core thesis]
**Source**: [author/publisher] · [date]
**Type**: [tweet/article/video/podcast/report]
---
## 💡 Key Insights
### 🎯 Core Arguments
- **Thesis**: [Main argument or finding]
- **Evidence**: [Supporting data or reasoning]
- **Strength**: [How convincing? What's missing?]
### 🤖 Tools & Methods
- **What**: [Tools, frameworks, or techniques mentioned]
- **How**: [How they're used or applied]
- **Relevance**: [Could you use this?]
### ⚙️ Workflow Ideas
- **Optimization**: [Process improvements mentioned]
- **Automation**: [What could be automated]
- **Integration**: [How to fit into existing workflow]
### 📊 Data & Numbers
- **Key metrics**: [Important numbers mentioned]
- **Trends**: [Patterns in the data]
- **Gaps**: [What data is missing]
### ⚠️ Risks & Warnings
- **Pitfalls**: [Explicitly mentioned risks]
- **Blind spots**: [What the author might be missing]
- **Counter-arguments**: [Alternative perspectives]
### 🔗 Resources
- **Tools/APIs**: [Mentioned tools or data sources]
- **People**: [Worth following or referencing]
- **Further reading**: [Related content]
### 🧠 Mental Model Shifts
- **Before**: [Common assumption]
- **After**: [New understanding from this content]
- **Impact**: [How this changes decisions]
---
## ✅ Action Items
### Quick Wins (< 30 min)
- [ ] [Action 1] — Impact: ★★★★ | Effort: Easy
- [ ] [Action 2] — Impact: ★★★ | Effort: Easy
### Deeper Work (1-3 hours)
- [ ] [Action 3] — Impact: ★★★ | Effort: Medium
- [ ] [Action 4] — Impact: ★★ | Effort: Medium
### Exploration (needs validation)
- [ ] [Action 5] — Impact: ★★★ | Effort: Hard | Nature: ExploratoryMap insights to YOUR context. Edit the dimensions below to match your own projects, interests, and systems.
## 🔄 How This Applies to Me
### My Projects
- **[Project A]**: [How this insight connects]
- **[Project B]**: [What I could apply]
### My Knowledge Base
- **Update**: [Which notes/docs to update]
- **New entry**: [What to add to my knowledge system]
### My Decision Log
- **Changed my mind about**: [what and why]
- **Confirmed my belief that**: [what]Customization: Edit the dimensions in Step 2 and Step 3 to match your own domain. A trader might add "Market Impact" and "Risk Assessment". A developer might add "Architecture Patterns" and "Tech Debt". Make it yours.
| Mode | Trigger | Output |
|---|---|---|
| Full (default) | /analyze [URL] | All dimensions |
| Sparse | /analyze [URL] --sparse | Only hit dimensions, skip empty |
| Brief | /analyze [URL] --brief | Action items only |
© iBigQiang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/analyzer of iBigQiang/feedgrab.
Open the folder on GitHubat commit 04291ba
Analyzer 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 |
|---|---|---|---|---|---|---|
| Analyzer this skilliBigQiang/feedgrab | 614 | — | ~1k | Automated safety check: Pass | MIT | |
| News Aggregator Skillcclank/news-aggregator-skill | 1.3k | — | ~2.1k | Automated safety check: Pass | None | |
| AI Daily Newsgeekjourneyx/ai-daily-skill | 235 | — | ~2.3k | Automated safety check: Pass | None | |
| Vss Search ArchiveNVIDIA-AI-Blueprints/video-search-and-summarization | 1.9k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Reportmicrosoft/data-formulator | 18k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Tldrearlyaidopters/claudeclaw | 173 | — | ~953 | Automated safety check: Pass | None |
cclank/news-aggregator-skill
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 44+ sources including Hacker News, Lobsters, Dev.to, GitHub, arXiv, Hugging Face Papers, AIHOT, TLDR…
geekjourneyx/ai-daily-skill
Fetches AI news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization.
NVIDIA-AI-Blueprints/video-search-and-summarization
A skill your agent uses when a user wants to search archived VSS video or ingest or delete a source for search.
microsoft/data-formulator
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded…
earlyaidopters/claudeclaw
Summarize the current conversation into a TLDR note and save it to your notes folder.
bytedance/deer-flow
Researches a topic and drafts a ready-to-send newsletter in Markdown, such as a weekly roundup, daily digest or industry briefing, with curated links and commentary.
iBigQiang/feedgrab
Universal content grabber — fetch any URL and return structured Markdown.
iBigQiang/feedgrab
Batch content grabber — bulk fetch bookmarks, user tweets, search results, author notes, wiki pages, subreddit posts, and more from X/Twitter, Xiaohongshu, Reddit, WeChat, YouTube, Feishu, Zhihu.
iBigQiang/feedgrab
Video & Podcast Digest — send a video/podcast link, get full transcript + structured summary.
iBigQiang/feedgrab
Install and configure feedgrab — the universal content grabber.
Categories
Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights. Analyzer is an agent skill from iBigQiang/feedgrab. Content Analyzer — any content (URL, text, transcript) into structured analysis report with actionable insights.
Analyzer fits situations like: user asks to analyze; extract key takeaways from content.
Run `npx skills add iBigQiang/feedgrab --skill analyzer -a claude-code`. Or copy the skill folder (skills/analyzer in iBigQiang/feedgrab) into .claude/skills/analyzer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add iBigQiang/feedgrab --skill analyzer -a codex`. Or copy the skill folder (skills/analyzer in iBigQiang/feedgrab) into .agents/skills/analyzer 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 iBigQiang/feedgrab --skill analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzer, .gemini/skills/analyzer, .github/skills/analyzer and .opencode/skills/analyzer in your project.
SKILL.md names no scripts, command-line tools or credentials: Analyzer is instructions for the agent only.
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. Review the folder before installing.
Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Analyzer: News Aggregator Skill (cclank/news-aggregator-skill, 1.3k stars), AI Daily News (geekjourneyx/ai-daily-skill, 235 stars), Vss Search Archive (NVIDIA-AI-Blueprints/video-search-and-summarization, 1.9k stars) and Report (microsoft/data-formulator, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
iBigQiang (a GitHub user) maintains it in iBigQiang/feedgrab, which has 614 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 8, 2026.
Source: iBigQiang/feedgrab on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.