Twitter Search
sundial-org/awesome-openclaw-skills
Advanced Twitter search and social media data analysis. An agent skill from sundial-org/awesome-openclaw-skills.
Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase.
Install Twitter Intelligence
$ npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sandbaseai/sandbase-skills twitter-intelligence --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/research/twitter-intelligence .claude/skills/twitter-intelligence && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "twitter-intelligence" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/twitter-intelligence into .claude/skills/twitter-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-intelligence", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sandbaseai/sandbase-skills/tree/main/research/twitter-intelligenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sandbaseai/sandbase-skills twitter-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/research/twitter-intelligence .agents/skills/twitter-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "twitter-intelligence" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/twitter-intelligence into .agents/skills/twitter-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-intelligence", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sandbaseai/sandbase-skills twitter-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/research/twitter-intelligence .cursor/skills/twitter-intelligence && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "twitter-intelligence" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/twitter-intelligence into .cursor/skills/twitter-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-intelligence", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sandbaseai/sandbase-skills.git --path research/twitter-intelligence--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sandbaseai/sandbase-skills twitter-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/research/twitter-intelligence .gemini/skills/twitter-intelligence && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "twitter-intelligence" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/twitter-intelligence into .gemini/skills/twitter-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-intelligence", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sandbaseai/sandbase-skills twitter-intelligenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/research/twitter-intelligence .github/skills/twitter-intelligence && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "twitter-intelligence" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/twitter-intelligence into .github/skills/twitter-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-intelligence", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sandbaseai/sandbase-skills twitter-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sandbaseai/sandbase-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/research/twitter-intelligence .opencode/skills/twitter-intelligence && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "twitter-intelligence" agent skill from https://github.com/sandbaseai/sandbase-skills/tree/main/research/twitter-intelligence into .opencode/skills/twitter-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "twitter-intelligence", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
twitter-intelligence- GitHub stars
- 201
- Token cost
- ~943 tokens
- SKILL.md length
- 420 words
- Files
- 3 (incl. references)
- Skills in repo
- 22
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase.
- Works in 5 steps: Frame the research → Search tweets → Discover trends → …
- Asked for Twitter research
- SKILL.md covers Call SandBase capabilities, Operating principles, Workflow and Output, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Twitter Intelligence is an agent skill from sandbaseai/sandbase-skills. Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase. Use when asked for Twitter research, social listening, trend analysis, influencer monitoring, sentiment tracking, or competitor social intelligence.
Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/sandbase-api-map.md`).
It sits in Marketing & SEO, covering Social media posts, Social media marketing and Forecasting and time series. It works with X (Twitter). The repository describes itself as: 88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek… The licence is Apache-2.0.
When your agent uses it
- Asked for Twitter research
- Social listening
- Influencer monitoring
- Sentiment tracking
Example prompts
- “/twitter-intelligence”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cbab581. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Twitter Intelligence loads about 943 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 420 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sandbaseai/sandbase-skills at commit cbab581, republished under its Apache-2.0 licence (© sandbaseai). 420 words, ~943 tokens.
Download SKILL.mdSave it as
.claude/skills/twitter-intelligence/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- twitter-intelligence
- description
- Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase. Use when asked for Twitter research, social listening, trend analysis, influencer monitoring, sentiment tracking, or competitor social intelligence.
Twitter Intelligence
Full-spectrum Twitter/X research and social listening through SandBase. Search public tweets, discover trends, analyze user profiles, and monitor discussions — all read-only, never posts or engages. Read the API map before selecting a capability.
Call SandBase capabilities
Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.
Operating principles
- Use Twitter data as social signal evidence, not as representative public opinion.
- Separate observations (tweet volume, engagement, accounts posting) from interpretation (sentiment, trend direction).
- Preserve attribution: include tweet URLs, usernames, dates, and engagement metrics.
- Never post, like, retweet, follow, or engage on behalf of the user.
- Keep monitored accounts and strategy confidential unless sharing is requested.
Workflow
1. Frame the research
Classify the request:
- Trend discovery: what's trending, emerging topics
- Topic monitoring: track discussions around a keyword or brand
- User analysis: profile, content, followers, engagement patterns
- Sentiment tracking: how people feel about a topic or brand
- Competitor intelligence: what competitors post and how audiences respond
2. Search tweets
Use twitter_web_search_timeline for keyword-based tweet discovery:
- Search for brand names, product names, hashtags, or topic phrases
- Use negative keywords to filter noise
- Compare search results for competitors side by side
Use twitter_bulk_tweet_search for higher-volume batch searches.
Show full SKILL.md (168 more words)Show less
3. Discover trends
Use twitter_web_trending to find what's trending globally or by location.
4. Analyze users
Use twitter_web_user_profile for account details (bio, follower count, verified status).
Use twitter_web_user_media and tweet timeline tools for content analysis.
Use twitter_web_user_followers / twitter_web_user_followings for network analysis.
5. Deep-dive tweets
Use twitter_web_tweet_detail for specific tweet metrics and thread context.
Use twitter_web_latest_post_comments or twitter_web_post_comments for reply analysis.
Output
Return: search scope, tweet volume summary, key accounts involved, sentiment signals, trend indicators, engagement patterns, and evidence gaps.
Example tasks
- "What are people saying about [brand] on Twitter this week?"
- "Find trending topics in the AI/tech space right now."
- "Analyze @competitor's Twitter presence — posting frequency, engagement, top content."
- "Monitor mentions of [product launch] and summarize sentiment."
- "Who are the most influential voices discussing [topic] on Twitter?"
Failure handling
- If SandBase is unavailable, report the failure and do not substitute a direct API.
- If searches return few results, try broader terms or related hashtags.
- If a user account is private/suspended, note the gap and continue with available data.
© sandbaseai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in research/twitter-intelligence of sandbaseai/sandbase-skills.
- SKILL.md
- agents/openai.yaml
- references/sandbase-api-map.md
Open the folder on GitHubat commit cbab581
Compare with similar skills
Twitter Intelligence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Twitter Intelligence this skillsandbaseai/sandbase-skills | 201 | — | ~943 | Automated safety check: Pass | Apache-2.0 | |
| Twitter Searchsundial-org/awesome-openclaw-skills | 663 | — | ~2.3k | Automated safety check: Pass | None | |
| Getxapi ConnectLeoYeAI/openclaw-marketing-skills | 1k | 1 repos | ~715 | Automated safety check: Pass | Custom licence | |
| X Twitter ConnectLeoYeAI/openclaw-marketing-skills | 1k | 1 repos | ~1.6k | Automated safety check: Pass | Custom licence | |
| X Algorithm Post Writingcarson2222/skills | 113 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| ForgeCode Feature Post Writertailcallhq/forgecode | 7.6k | — | ~374 | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Twitter Intelligence
What does Twitter Intelligence do?
Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase. Twitter Intelligence is an agent skill from sandbaseai/sandbase-skills. Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase.
When should I use Twitter Intelligence?
Twitter Intelligence fits situations like: asked for Twitter research; social listening; influencer monitoring; sentiment tracking.
How do I install Twitter Intelligence in Claude Code?
Run `npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a claude-code`. Or copy the skill folder (research/twitter-intelligence in sandbaseai/sandbase-skills) into .claude/skills/twitter-intelligence in your project. Claude Code loads it when a task matches its description.
How do I install Twitter Intelligence in Codex?
Run `npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a codex`. Or copy the skill folder (research/twitter-intelligence in sandbaseai/sandbase-skills) into .agents/skills/twitter-intelligence in your project. Codex loads it when a task matches its description.
Can I use Twitter Intelligence in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sandbaseai/sandbase-skills --skill twitter-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/twitter-intelligence, .gemini/skills/twitter-intelligence, .github/skills/twitter-intelligence and .opencode/skills/twitter-intelligence in your project.
What does Twitter Intelligence need to run?
SKILL.md names no scripts, command-line tools or credentials: Twitter Intelligence is instructions for the agent only.
Does Twitter Intelligence access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Twitter Intelligence safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Twitter Intelligence use?
Twitter Intelligence is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Twitter Intelligence use?
About 943 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 410 tokens, read only when the agent opens those files.
What are the alternatives to Twitter Intelligence?
Skills that share tags, products or a category with Twitter Intelligence: Twitter Search (sundial-org/awesome-openclaw-skills, 663 stars), Getxapi Connect (LeoYeAI/openclaw-marketing-skills, 1k stars), X Twitter Connect (LeoYeAI/openclaw-marketing-skills, 1k stars) and X Algorithm Post Writing (carson2222/skills, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Twitter Intelligence?
sandbaseai (a GitHub organization) maintains it in sandbaseai/sandbase-skills, which has 201 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on September 26, 2026.
Source: sandbaseai/sandbase-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.