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last30days (Gemini Synthesis)

Research any topic from the last 30 days. Sources: X (Twitter), YouTube transcripts, web search. Generates expert briefings and copy-paste prompts using Gemini.

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High Signal

Research any topic from the last 30 days. Sources: X (Twitter), YouTube transcripts, web search. Generates expert briefings and copy-paste prompts using Gemini.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: README.md, SKILL-original.md, SKILL.md, SPEC.md, TASKS.md, agents/openai.yaml

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: ralph-oei
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

last30days v2.1

Research any topic across X (Twitter), YouTube, and web. Find what's actually being discussed, recommended, and debated right now.

Setup

# Environment (should already be set) export AUTH_TOKEN=your_x_auth_token export CT0=your_x_ct0_token export BRAVE_API_KEY=your_brave_key # Config mkdir -p ~/.config/last30days cat > ~/.config/last30days/.env << 'EOF' BRAVE_API_KEY=your_key_here EOF

Usage

# Quick research (faster, fewer sources) python3 {baseDir}/scripts/last30days.py "AI agents" --quick # Full research python3 {baseDir}/scripts/last30days.py "AI agents" # Output formats python3 {baseDir}/scripts/last30days.py "topic" --emit=json # JSON for parsing python3 {baseDir}/scripts/last30days.py "topic" --emit=compact # Human readable python3 {baseDir}/scripts/last30days.py "topic" --emit=md # Full report

Output for AI Synthesis

The --emit=json flag outputs structured JSON that can be fed to Gemini for: Expert briefing generation Copy-paste ready prompts Trend analysis

Sources

SourceAuthNotesX/TwitterCookiesUses bird CLI with existing AUTH_TOKEN/CT0YouTubeNoneRequires yt-dlp for transcriptsWebBrave APIRequires BRAVE_API_KEY

Synthesis

This skill researches and returns raw data. For AI-generated briefings and prompts, pipe the JSON output to Gemini: python3 {baseDir}/scripts/last30days.py "topic" --quick --emit=json | python3 -c " import json, sys, os import urllib.request, urllib.parse data = json.load(sys.stdin) prompt = f'Synthesize this research into an expert briefing and 3 copy-paste prompts:\\n{json.dumps(data)}' body = json.dumps({ 'contents': [{'parts': [{'text': prompt}]}], 'generationConfig': {'temperature': 0.7, 'maxOutputTokens': 2048} }) req = urllib.request.Request( 'https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=' + os.environ.get('GEMINI_API_KEY'), data=body.encode(), headers={'Content-Type': 'application/json'} ) print(json.load(urllib.request.urlopen(req))['candidates'][0]['content']['parts'][0]['text']) "

Attribution

Original Author: Mike Van Horn (mvanhorn) Original Repository: github.com/mvanhorn/last30days-skill License: MIT (per original) Contributors: Thanks to @steipete for yt-dlp + summarize inspiration This skill extends the original with Gemini synthesis for automated briefings.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

5 Docs1 Config

SKILL.md Primary doc
README.md Docs
SKILL-original.md Docs
SPEC.md Docs
TASKS.md Docs
agents/openai.yaml Config