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
Optional State (ContextStore)
If available, leverage user preference state to improve search quality:
- State dir:
~/.claude/skills/x-create/state/ - Positive samples:
liked_topics.json(preferred topics/entities/sources) - Negative samples:
rejected_topics.json(avoid low-value/repetitive topics)
If state files don't exist, proceed normally.
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.
Query expansion rules (lightweight):
- Start with user
topic - Add 2-5 query variants based on:
- User profile (domains/persona if known) - liked_topics.json high-frequency keywords/entities (if available)
- Keep ~20% queries as exploration (cross-domain / adjacent keywords) to avoid information bubble
Dedup & clustering (at the end of each round):
- Merge near-duplicate URLs/titles
- Group materials into topic clusters (rough tags are fine)
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]
- **QualityScore (0-10)**: ...
- **TopicCluster**: ...
- **HookCandidates**:
- ...
### 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Additionally, append a machine-readable block for hooks/state ingestion:
MATERIALS_JSON
{
"schema_version": "x_skills.materials.v1",
"topic": "{Topic}",
"timestamp": "{timestamp}",
"items": [
{
"title": "...",
"url": "...",
"summary": "...",
"key_points": ["..."],
"quality_score_0_10": 0,
"topic_cluster": "...",
"hook_candidates": ["..."]
}
]
}Execution Steps
- Receive topic from user
- Execute Round 1 searches (official sources)
- Execute Round 2 searches (technical analysis)
- Execute Round 3 searches (comparisons)
- Analyze gaps from rounds 1-3
- Execute Round 4 searches (fill gaps)
- Synthesize results into structured format
- Output MATERIALS_JSON (for hooks/state ingestion)
- (Optional) Append event for feedback loop:
- python ~/.claude/skills/x-create/scripts/x_state.py event --event collect.completed --payload-json '{"topic":"...","items_count":12,"explore_ratio":0.2}'
- Report summary to user
Example
User: /x-collect Claude MCP协议
Expected behavior:
- Search "Claude MCP协议 官方文档"
- Search "MCP Model Context Protocol GitHub"
- Search "MCP协议 详细介绍"
- Search "MCP协议 教程"
- Search "MCP vs function calling"
- Search "MCP协议 评测"
- Identify gaps: need more about security, adoption rate
- Search "MCP协议 安全性"
- Search "MCP协议 最新 2025"
- 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