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CodeAlive-AICodeAlive-AI/ceo-ai-os/skills/exa-x-search/SKILL.md

exa-x-search

Skill9 starsChanged 6 months agoMITView on GitHub

Search tweets and X/Twitter content using Exa. Finds social discussions, product announcements, developer opinions, trending topics, and community sentiment. Use when searching for tweets, X/Twitter discussions, or social media sentiment.

2 other projects use a version of this, 1 of them edited.

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The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Call the native MCP tool exa-search__web_search_advanced_exa directly with category: "tweet".

    line 11

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

X/Twitter Search (Exa)

Tool

Call the native MCP tool exa-search__web_search_advanced_exa directly with category: "tweet".

Always include category: "tweet".

Critical Filter Restrictions

The tweet category has very limited filter support. These params cause errors:

ParamStatus
includeTextNOT SUPPORTED — 400 error
excludeTextNOT SUPPORTED — 400 error
includeDomainsNOT SUPPORTED — 400 error
excludeDomainsNOT SUPPORTED — 400 error
moderationNOT SUPPORTED — 500 error

Use the query string itself to filter content — put keywords, hashtags, and exclusions in query.

Supported Parameters

  • query, numResults, type
  • Date: startPublishedDate, endPublishedDate, startCrawlDate, endCrawlDate
  • Content: textMaxCharacters, enableHighlights, enableSummary
  • additionalQueries — for hashtag variations
  • livecrawl=preferred — for recent tweets

Call Examples

Tool: exa-search__web_search_advanced_exa

# Recent tweets on a topic
{ query: "Claude Code MCP experience", category: "tweet", startPublishedDate: "2025-01-01",
  numResults: 20, type: "auto", livecrawl: "preferred" }

# Product announcements (keywords in query, not includeText)
{ query: "announcing new open source AI tool release", category: "tweet",
  startPublishedDate: "2025-12-01", numResults: 15, type: "auto" }

# Developer sentiment
{ query: "developer experience frustrating painful bug", category: "tweet",
  numResults: 20, type: "deep", livecrawl: "preferred" }

# Competitor monitoring
{ query: "[INCUMBENT_PRODUCT] review feedback", category: "tweet",
  startPublishedDate: "2025-06-01", numResults: 25, type: "auto" }

When to Use

  • Social discussions and community sentiment
  • Product announcements from company accounts
  • Developer opinions and experiences
  • Trending topics
  • Expert takes and threads
  • Competitor/market signal monitoring

Output Format

Return:

  1. Results — tweet content, author handle, date, engagement if visible
  2. Sources — tweet URLs
  3. Notes — sentiment summary, notable accounts, threads vs single tweets

Note: tweet content can be informal, sarcastic, or context-dependent.

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