Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Conduct tiered social media research on Twitter and web sources, compiling insights into structured briefings without requiring API keys for basic access.
Conduct tiered social media research on Twitter and web sources, compiling insights into structured briefings without requiring API keys for basic access.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
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. Summarize what changed and any follow-up checks I should run.
by Odin's Eye Enterprises โ Ancient Wisdom. Modern Intelligence. Tiered X/Twitter research tool. Sends out the ravens, brings back intelligence.
Tier 1 โ FxTwitter API (free, fast, public tweets) Tier 2 โ Web search fallback (broader reach) Tier 3 โ Browser scraping (last resort, full fidelity) Briefings โ Compiled research reports
"what are people saying about" "social research on" "twitter research" "send the ravens" "what's the buzz on"
# Research a topic python social_research.py "OpenAI GPT-5 reactions" # Research with specific tier python social_research.py "AI agents" --tier 1 # Get cached briefing python social_research.py --briefing "topic"
social_research.py โ main research engine fxtwitter.py โ FxTwitter API client .cache/ โ cached results (auto-managed) .briefings/ โ compiled reports
Python 3.10+ No API keys for Tier 1 (FxTwitter is free) Web search available via agent tools for Tier 2
Run from the skill directory: python social_research.py "TOPIC" Output is a structured briefing on stdout.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.