
X Collect
- 1 installs
- 404 repo stars
- Updated August 5, 2026
- aiskillstore/marketplace
x-collect is a skill that researches a topic across a 4-round web-search strategy and compiles a structured material report for X (Twitter) content creation.
About
x-collect gathers research materials for X (Twitter) content using a systematic 4-round web-search strategy. A creator gives it a topic and it searches official sources, technical analysis, comparisons, then fills gaps, producing a structured material report with sources and suggested post angles. It hands off to a follow-up filtering step.
- 4-round web-search research for X (Twitter) content
- Progresses from official sources to comparisons to gap-filling
- Outputs a structured material report with sources and angles
X Collect by the numbers
- 1 all-time installs (skills.sh)
- Ranked #1,710 of 1,879 Marketing & SEO skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
x-collect capabilities & compatibility
- Capabilities
- research · web search · marketing
- Use cases
- research · web search · marketing
What x-collect says it does
Collect and research materials for X (Twitter) content creation using multi-round web search strategy.
Performs 4-round deep research mimicking human research workflow.
Simulate human research thinking process with progressive depth
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| Installs | 1 |
|---|---|
| repo stars | ★ 404 |
| Last updated | August 5, 2026 |
| Repository | aiskillstore/marketplace ↗ |
What it does
Research a topic across four web-search rounds and compile a material report for X content.
Who is it for?
Gathering researched source material and angles for X posts on a topic
Skip if: Publishing tweets or scheduling posts
When should I use this skill?
You want to research a topic before creating X content
What you get
A structured material report with sources, key points, and suggested post angles
- Structured material report with sources and post angles
By the numbers
- 4-round web-search strategy
Files
X Collect
Collect trending topics and research materials for X content creation using a systematic 4-round web search strategy.
Prerequisites
- WebSearch tool available
- Internet connection
Workflow
Input
User provides:
- Topic (required): The subject to research (e.g., "AI Agent最新进展", "Claude 4 发布")
- Language (optional): Output language, defaults to Chinese (zh-CN)
4-Round Search Strategy
Simulate human research thinking process with progressive depth:
Round 1: Official Sources (权威信息)
Search: "{topic} 官方文档"
Search: "{topic} GitHub"
Search: "{topic} official announcement"Goal: Get authoritative first-hand information
Round 2: Technical Analysis (技术解析)
Search: "{topic} 详细介绍"
Search: "{topic} 教程 tutorial"
Search: "{topic} how it works"Goal: Understand technical details and mechanisms
Round 3: Comparison & Reviews (对比评测)
Search: "{topic} vs {competitor}"
Search: "{topic} 评测 review"
Search: "{topic} pros cons"Goal: Get different perspectives and comparisons
Round 4: Supplementary Verification (补充验证)
# Analyze gaps from previous rounds
missing_info = analyze_gaps(previous_results)
Search: "{missing_info}"
Search: "{topic} 最新 latest 2024 2025"Goal: Fill information gaps and get latest updates
Output Format
Generate structured material document:
# {Topic} 素材收集报告
## 收集时间
{timestamp}
## 核心信息
- **官方定义**: ...
- **关键特性**: ...
- **最新动态**: ...
## 素材列表
### 素材 1
- **标题**: ...
- **来源**: {url}
- **摘要**: 2-3句话概括
- **关键点**:
- 要点1
- 要点2
- **潜在选题角度**: ...
- **推荐推文类型**: [高价值干货/犀利观点/热点评论/故事洞察/技术解析]
### 素材 2
...
## 热度分析
- **当前热度**: 高/中/低
- **趋势**: 上升/稳定/下降
- **讨论焦点**: ...
## 争议点
- 争议1: ...
- 争议2: ...
## 下一步建议
使用 `/x-filter` 对素材进行打分筛选Execution Steps
1. Receive topic from user 2. Execute Round 1 searches (official sources) 3. Execute Round 2 searches (technical analysis) 4. Execute Round 3 searches (comparisons) 5. Analyze gaps from rounds 1-3 6. Execute Round 4 searches (fill gaps) 7. Synthesize results into structured format 8. Save to temp file for x-filter to use 9. Report summary to user
Example
User: /x-collect Claude MCP协议
Expected behavior: 1. Search "Claude MCP协议 官方文档" 2. Search "MCP Model Context Protocol GitHub" 3. Search "MCP协议 详细介绍" 4. Search "MCP协议 教程" 5. Search "MCP vs function calling" 6. Search "MCP协议 评测" 7. Identify gaps: need more about security, adoption rate 8. Search "MCP协议 安全性" 9. Search "MCP协议 最新 2025" 10. Generate structured material report
Integration
After collection, suggest:
素材收集完成!共找到 X 条相关素材。
下一步:运行 /x-filter 对素材进行打分筛选,≥7分的选题将进入创作池。Tips
- For trending topics, prioritize recency (2024-2025)
- For technical topics, prioritize official docs and GitHub
- For controversial topics, collect multiple perspectives
- Always note the source URL for credibility
{
"schema_version": "2.0",
"meta": {
"generated_at": "2026-01-21T15:08:03.816Z",
"slug": "kangarooking-x-collect",
"source_url": "https://github.com/kangarooking/x-skills/tree/main/x-collect",
"source_ref": "main",
"model": "claude",
"analysis_version": "3.0.0",
"source_type": "community",
"content_hash": "037581899b8a4bfec30097f2ecc4c67ca0effe3c12a81a9d298f325783d1e9a7",
"tree_hash": "6c872f1b1a2657592569bb68dac0c8099ef60000ec34a31d6c695e042c85d26a"
},
"skill": {
"name": "x-collect",
"description": "Collect and research materials for X (Twitter) content creation using multi-round web search strategy. Use when user wants to gather trending topics, research subjects for X posts, or mentions \"collect materials\", \"research topic\", \"find content for X\", \"x-collect\". Performs 4-round deep research mimicking human research workflow.",
"summary": "Multi-round web research tool for X (Twitter) content creation with structured material collection",
"icon": "📦",
"version": "1.0.0",
"author": "kangarooking",
"license": "MIT",
"category": "writing",
"tags": [
"twitter",
"content-creation",
"research",
"social-media",
"web-search"
],
"supported_tools": [
"claude",
"codex",
"claude-code"
],
"risk_factors": []
},
"security_audit": {
"risk_level": "safe",
"is_blocked": false,
"safe_to_publish": true,
"summary": "No security issues confirmed. Static scanner produced false positives: 13 external_commands flags were documentation examples (Search: patterns), not actual shell commands. 2 weak_crypto flags were YAML frontmatter and documentation text, not cryptographic code. This skill performs web searches only via the WebSearch tool.",
"risk_factor_evidence": [],
"critical_findings": [],
"high_findings": [],
"medium_findings": [],
"low_findings": [],
"dangerous_patterns": [],
"files_scanned": 1,
"total_lines": 146,
"audit_model": "claude",
"audited_at": "2026-01-21T15:08:03.816Z",
"risk_factors": []
},
"content": {
"user_title": "Research X content materials",
"value_statement": "Creating engaging X (Twitter) content requires thorough research across multiple sources. This skill automates a 4-round web search strategy to collect authoritative, technical, comparative, and verified materials for your posts.",
"seo_keywords": [
"Claude",
"Codex",
"Claude Code",
"Twitter content research",
"X content creation",
"social media research tool",
"web search automation",
"content素材 collection",
"Twitter posting tool",
"trending topics research"
],
"actual_capabilities": [
"Performs 4-round deep web research mimicking human research workflow",
"Collects official sources, technical documentation, and comparisons",
"Identifies information gaps and fills them with supplementary searches",
"Generates structured material reports with source citations",
"Supports Chinese and English output for international topics",
"Analyzes topic热度 (popularity) and trends for content timing"
],
"limitations": [
"Requires WebSearch tool to be available in the environment",
"Does not create content directly; only collects and structures research materials",
"Output quality depends on search results availability and freshness",
"Does not verify URL accessibility or content accuracy beyond search summaries"
],
"use_cases": [
{
"title": "Research technical topics for X posts",
"description": "Tech bloggers and developer advocates use this skill to gather comprehensive information about new frameworks, tools, or announcements before creating educational content.",
"target_user": "Tech bloggers and developer advocates"
},
{
"title": "Find trending topics and angles",
"description": "Social media managers and content creators use this skill to identify hot topics, collect multiple perspectives, and find unique angles for engagement.",
"target_user": "Social media managers and content creators"
},
{
"title": "Fact-check and gather sources",
"description": "Journalists and thought leaders use this skill to quickly gather authoritative sources and verify claims before posting on current events.",
"target_user": "Journalists and thought leaders"
}
],
"prompt_templates": [
{
"title": "Basic topic research",
"prompt": "Use /x-collect to research {topic} for X content. Focus on official announcements and technical details.",
"scenario": "Quick research for a single topic"
},
{
"title": "Comparison research",
"prompt": "Use /x-collect to research {topic}. Include competitor comparisons and pros/cons analysis.",
"scenario": "When comparing multiple options or alternatives"
},
{
"title": "Trending topic research",
"prompt": "Use /x-collect to research {topic}. Prioritize 2024-2025 sources and current discussions.",
"scenario": "Researching hot topics for timely engagement"
},
{
"title": "Multi-topic campaign research",
"prompt": "Use /x-collect for {topic1} then for {topic2}. Generate separate material reports for each.",
"scenario": "Researching multiple topics for a content campaign"
}
],
"output_examples": [
{
"input": "/x-collect Claude MCP Protocol",
"output": "# Claude MCP协议 素材收集报告\n\n## 收集时间\n2026-01-21\n\n## 核心信息\n- **官方定义**: Model Context Protocol (MCP) is an open protocol...\n- **关键特性**: Standardized tool integration, JSON-RPC 2.0 based...\n- **最新动态**: Claude Desktop support added in late 2024...\n\n## 素材列表\n### 素材 1\n- **标题**: Model Context Protocol Documentation\n- **来源**: https://modelcontextprotocol.io/docs\n- **摘要**: Official protocol documentation...\n- **推荐推文类型**: 高价值干货\n\n## 热度分析\n- **当前热度**: 高\n- **趋势**: 上升\n- **讨论焦点**: AI agent interoperability\n\n## 下一步建议\n运行 /x-filter 对素材进行打分筛选"
},
{
"input": "/x-collect Rust async programming",
"output": "# Rust async programming 素材收集报告\n\n## 素材列表\n### 素材 1\n- **标题**: The Rust Programming Language - Async\n- **来源**: https://doc.rust-lang.org/book/ch16-01-00.html\n- **摘要**: Comprehensive guide to async/await in Rust...\n\n### 素材 2\n- **标题**: tokio::spawn vs async-std::spawn\n- **来源**: https://github.com/rust-lang/rust/issues/...\n- **摘要**: Runtime comparison discussion...\n\n## 争议点\n- 争议1: tokio vs async-std performance characteristics\n- 争议2: async trait bounds stability"
}
],
"best_practices": [
"Use specific topic terms for better search results (e.g., \"Claude MCP\" instead of \"MCP\")",
"Follow up with /x-filter to score and prioritize collected materials before creating content",
"Combine multiple related topics in separate runs for comprehensive research"
],
"anti_patterns": [
"Using overly broad topics like \"AI\" will return unfocused results",
"Skipping the x-filter step may lead to low-quality content选题",
"Not noting source URLs breaks credibility for technical claims"
],
"faq": [
{
"question": "What languages does x-collect support?",
"answer": "x-collect supports Chinese (zh-CN) output by default and English. You can specify any language in the input."
},
{
"question": "How is x-collect different from regular web search?",
"answer": "It uses a structured 4-round research strategy that mimics human research: official sources, technical analysis, comparisons, and gap-filling searches."
},
{
"question": "Does x-collect create the X post for me?",
"answer": "No, x-collect only collects and structures research materials. Use x-filter for scoring and x-compose for actual content creation."
},
{
"question": "Can I use x-collect for non-Twitter content?",
"answer": "Yes, the research methodology works for any content creation that requires source gathering, including blogs, newsletters, and articles."
},
{
"question": "How long does a research cycle take?",
"answer": "A full 4-round research typically takes 2-5 minutes depending on topic complexity and search result availability."
},
{
"question": "What happens to the collected materials?",
"answer": "Materials are saved to a temp file and can be passed to x-filter for scoring or used directly in your content workflow."
}
]
},
"file_structure": [
{
"name": "SKILL.md",
"type": "file",
"path": "SKILL.md",
"lines": 146
}
]
}
Related skills
FAQ
How many search rounds does it run?
Four: official sources, technical analysis, comparison and reviews, then supplementary gap-filling.
What does it output?
A structured material report with sources, summaries, key points, and suggested post angles.