| name | x-research |
| description | X/Twitter public sentiment research. Searches X for real-time perspectives, market sentiment, expert opinions, breaking news, and community discourse. Use when: user asks "what are people saying about", "X/Twitter sentiment", "check X for", "search twitter for", "what's CT saying about", or wants public opinion on a stock, sector, company, or market event.
|
X Research Skill
Agentic research over X/Twitter using the x_search tool. Decompose the
research question into targeted searches, iterate to refine signal, and
synthesize into a sourced sentiment briefing.
Research Loop
1. Decompose into Queries
Turn the research question into 3–5 targeted queries using X operators:
- Core query: Direct keywords or
$TICKER cashtag
- Expert voices:
from:username for known analysts or accounts
- Bearish signal: keywords like
(overvalued OR bubble OR risk OR concern)
- Bullish signal: keywords like
(bullish OR upside OR catalyst OR beat)
- News/links: add
has:links to surface tweets with sources
- Noise reduction:
-is:reply to focus on original posts; -airdrop -giveaway for crypto topics
2. Execute Searches
Use the x_search tool with command: "search". For each query:
- Start with
sort: "likes" and limit: 15 to surface highest-signal tweets
- Add
min_likes: 5 or higher to filter noise for broad topics
- Use
since: "1d" or "7d" depending on how time-sensitive the topic is
- If a query returns too much noise, narrow with more operators or raise
min_likes
- If too few results, broaden with
OR terms or remove restrictive operators
3. Check Key Accounts (Optional)
For well-known analysts, fund managers, or company executives, use
command: "profile" to see their recent posts directly.
4. Follow Threads (Optional)
When a high-engagement tweet appears to be a thread starter, use
command: "thread" with the tweet ID to get full context.
5. Synthesize
Group findings by theme (bullish, bearish, neutral, news/catalysts):
### [Theme]
[1–2 sentence summary of the theme]
- @username: "[key quote]" — [likes]♥ [Tweet](url)
- @username2: "[another perspective]" — [likes]♥ [Tweet](url)
End with an Overall Sentiment paragraph: predominant tone (bullish/bearish/
mixed/neutral), confidence level, and any notable divergence between retail and
institutional voices.
Refinement Heuristics
| Problem | Fix |
|---|
| Too much noise | Raise min_likes, add -is:reply, narrow keywords |
| Too few results | Broaden with OR, remove restrictive operators |
| Crypto spam | Add -airdrop -giveaway -whitelist |
| Want expert takes only | Use from: or min_likes: 50 |
| Want substance over hot takes | Add has:links |
Output Format
Present a structured briefing:
- Query Summary: what was searched and time window
- Sentiment Themes: grouped findings with sourced quotes and tweet links
- Overall Sentiment: tone, confidence, key voices
- Caveats: X sentiment is not a reliable predictor; sample bias toward vocal minorities; last-7-days window only
