How do I install the Exa X Search skill?

Run npx skillmds@latest add codealive-ai/exa-x-search-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Exa X Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Exa X Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Exa X Search free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Exa X Search?

CodeAlive-AI (@codealive-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Exa X Search by codealive-ai — Agent Skill

Name: Exa X Search
Author: CodeAlive-AI

Exa X Search

Search X/Twitter posts with Exa, filtered to x.com/twitter.com. Use for finding tweets or threads on a topic. NOTE: Exa's X coverage is limited (the tweet category was retired and X blocks crawlers), so results are often sparse — the skill is honest about this and suggests fallbacks. Runs a local script against the Exa API; no MCP server required.

CodeAlive-AI Updated Sep 22, 2026

File contents

X / Twitter Search (Exa)

Search posts on x.com / twitter.com via Exa. Calls the Exa REST API through a local script; no MCP server needed, only an EXA_API_KEY.

⚠️ Read this first — coverage is limited

Exa retired the tweet category, and X blocks most crawlers, so X/Twitter content is sparsely indexed. This skill:

filters results to x.com/twitter.com client-side (--only-domains), so you never get off-domain noise dressed up as tweets;
often returns few or zero results — that's expected, not a bug;
prints a clear note and fallback suggestions when empty.

For reliable social/sentiment coverage, treat this as best-effort and use the fallbacks below.

Setup (once)

export EXA_API_KEY=your-key            # or EXA_API_KEY=... in a .env at the repo root

Get a key at https://dashboard.exa.ai/api-keys. Shared details: exa-native-base.

Run it

python scripts/x_search.py "<topic / handle / thread>" [-n N] [--json]

Examples:

python scripts/x_search.py "Anthropic Claude launch reactions" -n 15
python scripts/x_search.py "founder thread lessons scaling startup" -n 15

The script forces --include-domains x.com,twitter.com and --only-domains x.com,twitter.com. If it returns sources_reviewed: 0, that's the coverage limit, not an error.

Fallbacks when X coverage is thin

Find discussion about the topic on the open web (Reddit, HN, blogs, news):

python ../exa-company-research/scripts/company_research.py "<topic> reaction analysis commentary" -c news -n 15
python ../exa-native-base/scripts/exa.py search "<topic> discussion hacker news reddit" -n 15

Read a known thread/profile directly (if you have the URL):

python ../exa-native-base/scripts/exa.py contents https://x.com/<user>/status/<id> --text

Use a dedicated X/Twitter API for real-time, exhaustive social data — Exa is not the right tool for that.

After you get results

Verify each result is actually a relevant x.com/twitter.com post (the domain filter guarantees the host, not the relevance).
Be explicit in your answer about coverage: state how many on-platform posts you found and whether you fell back to the open web.
Deliver: author/handle · post link · one-line gist; note the recency.

---name: exa-x-search-2description: Search X/Twitter posts with Exa, filtered to x.com/twitter.com. Use for finding tweets or threads on a topic. NOTE: Exa's X coverage is limited (the tweet category was retired and X blocks crawlers), so results are often sparse — the skill is honest about this and suggests fallbacks. Runs a local script against the Exa API; no MCP server required.license: MIT---# X / Twitter Search (Exa)Search posts on x.com / twitter.com via Exa. Calls the Exa REST API through a local script; **no MCP server needed**, only an `EXA_API_KEY`.## ⚠️ Read this first — coverage is limitedExa **retired the `tweet` category**, and X blocks most crawlers, so X/Twitter content is sparsely indexed. This skill:- filters results to x.com/twitter.com **client-side** (`--only-domains`), so you never get off-domain noise dressed up as tweets;- **often returns few or zero results** — that's expected, not a bug;- prints a clear note and fallback suggestions when empty.For reliable social/sentiment coverage, treat this as best-effort and use the fallbacks below.## Setup (once)```bashexport EXA_API_KEY=your-key # or EXA_API_KEY=... in a .env at the repo root```Get a key at https://dashboard.exa.ai/api-keys. Shared details: [`exa-native-base`](../exa-native-base/SKILL.md).## Run it```bashpython scripts/x_search.py "<topic / handle / thread>" [-n N] [--json]```Examples:```bashpython scripts/x_search.py "Anthropic Claude launch reactions" -n 15python scripts/x_search.py "founder thread lessons scaling startup" -n 15```The script forces `--include-domains x.com,twitter.com` and `--only-domains x.com,twitter.com`. If it returns `sources_reviewed: 0`, that's the coverage limit, not an error.## Fallbacks when X coverage is thin1. **Find discussion *about* the topic on the open web** (Reddit, HN, blogs, news): ```bash python ../exa-company-research/scripts/company_research.py "<topic> reaction analysis commentary" -c news -n 15 python ../exa-native-base/scripts/exa.py search "<topic> discussion hacker news reddit" -n 15 ```2. **Read a known thread/profile directly** (if you have the URL): ```bash python ../exa-native-base/scripts/exa.py contents https://x.com/<user>/status/<id> --text ```3. **Use a dedicated X/Twitter API** for real-time, exhaustive social data — Exa is not the right tool for that.## After you get results- Verify each result is actually a relevant x.com/twitter.com post (the domain filter guarantees the host, not the relevance).- Be explicit in your answer about coverage: state how many on-platform posts you found and whether you fell back to the open web.- Deliver: author/handle · post link · one-line gist; note the recency.

Frequently asked questions