idea-research
Trend research and viral content breakdown workspace for radar pulls, URL breakdowns, account comparison, subscriptions, and script remixing.
Skill by LZM163126lzm
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/lzm163126lzm-idea-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, research
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/idea-research
What's inside
- Skill name
idea-research- Description
- Trend research and viral content breakdown workspace for radar pulls, URL breakdowns, account comparison, subscriptions, and script remixing.
- License
- AGPL-3.0
- Instructions
- 220 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (44)
- .gitignore
- CHANGELOG.md
- README.md
- SKILL.md
- __init__.py
- icon.svg
- idea_collectors.py
- idea_dashscope_client.py
- idea_engine_api.py
- idea_engine_crawler.py
- idea_models.py
- idea_moonshot_client.py
- idea_pipeline.py
- __init__.py · idea_research_inline/
- dep_bootstrap.py · idea_research_inline/
- llm_json_parser.py · idea_research_inline/
- mdrm_adapter.py · idea_research_inline/
- parallel_executor.py · idea_research_inline/
- python_deps.py · idea_research_inline/
- storage_stats.py · idea_research_inline/
- upload_preview.py · idea_research_inline/
- vendor_client.py · idea_research_inline/
- idea_task_manager.py
- plugin.json
- plugin.py
- __init__.py · tests/
- conftest.py · tests/
- test_collectors_engine_a.py · tests/
- test_collectors_engine_b.py · tests/
- test_collectors_registry.py · tests/
- test_dashscope_client.py · tests/
- test_idea_models.py · tests/
- test_idea_task_manager.py · tests/
- test_pipeline.py · tests/
- test_plugin_routes.py · tests/
- bootstrap.js · ui/dist/_assets/
- i18n.js · ui/dist/_assets/
- icons.js · ui/dist/_assets/
- markdown-mini.js · ui/dist/_assets/
- styles.css · ui/dist/_assets/
- icon.svg · ui/dist/
- idea-research-brand.svg · ui/dist/
- index.html · ui/dist/
- 选题研析室.doc
SKILL.md (first lines)
# SKILL: idea-research 选题研析室
> 给后续 AI agent 提供修改 skill — 10 节,每节是一个独立"为什么/怎么改"小问答。
> 阅读顺序建议:1 → 2 → 3(实操类)→ 4-9(按需查)→ 10(兜底)。
---
## 1 插件定位与适用场景
**当用户说什么时该想到 idea-research?**
| 用户原话 | 触发的 mode | 备注 |
|---|---|---|
| 「拉一下今天 B站 / 抖音的 AI 热门视频」 | `radar_pull` | 默认引擎 A 即可 |
| 「帮我看看 https://... 这条爆款是怎么火的」 | `breakdown_url` | 8 步 pipeline |
| 「给我对比 [@张三, @李四, @王五] 三个号最近的内容」 | `compare_accounts` | 跨账号 hook 分布 |
| 「把这条选题改成我的小红书脚本」 | `script_remix` | 注入 persona + MDRM |
| 「帮我每天早上 9 点推 5 条选题」 | `idea_subscribe` 工具 + IM 通道 handoff | 见 §6 |
**不适用的场景**(应改用其他插件):
- 视频 ASR + 字幕生成 → `subtitle-craft`
- 视频剪辑 / 转码 / 拼接 → 专用剪辑插件(非本插件)
- 数字人配音 → `avatar-studio`
- 静态图片设计 → `tongyi-image` / `seedance-video`
---
## 2 4 mode 触发条件与示例 prompt
### `radar_pull`
```
{
"platforms": ["bilibili", "youtube", "douyin"],
"keywords": ["AI", "智能体"],
"time_window": "24h", // 24h / 7d / 30d
"engine": "auto", // a / b / auto
"limit": 20,
"mdrm_weighting": true // 默认开
}
```
### `breakdown_url`
```
{
"url": "https://www.bilibili.com/video/BV...",
"persona": "B站知识博主",
"enable_comments": true,
"asr_backend": "auto", // auto / local / cloud
"frame_strategy": "hybrid", // keyframe / fixed_1.5s / hybrid
"write_to_mdrm": true
}
```
### `compare_accounts`
```
{
"account_urls": ["https://space.bilibili.com/12345", "..."],
"window": "30d", // 7d / 30d / 90d
"max_videos_per_account": 20
}
```
### `script_remix`
```
{
"trend_item_id": "<id>",
"my_persona": "小红书运营专家",
"my_brand_keywords": ["国货", "护肤"],
"target_duration_seconds": 60,
"num_variants": 3,
"target_platform": "xhs", // douyin / xhs / bilibili / youtube / kuaishou / weibo
"use_mdrm_hints": true
}
```
---
## 3 双引擎选择决策树
用户问「该用 A 还是 B」时按这棵树回答:
```
target 平台是 B站 / YouTube?
├─ 是 → 引擎 A(永远首选,零风险)
└─ 否(抖音 / 小红书 / 快手 / 微博 / B站登录态)→
用户能容忍数据质量差?
├─ 能 → 引擎 A 走 RSS Hub(无互动数据)
└─ 不能 → 用户已配 cookies 并勾免责?
├─ 是 → 引擎 B
└─ 否 → 提示「请先去 Settings → 数据源 配置 cookies」
```
**默认值**:`engine: "auto"` → 自动按上表决策。
---
## 4 12 PERSONAS 选择指南
| 想让选题/脚本风格偏向哪种? | 选哪个 persona |
|---|---|
| 25-35 女性 / 笔记体 / 情绪共鸣 | 1 小红书运营专家 / 5 视频号情感博主 |
| 强钩子 / 短平快 | 2 抖音爆款编导 |
| 深度 / 长视频 / 知识浓度 | 3 B站知识博主 / 6 知识付费课程主理人 |
| 海外英文 / SEO | 4 YouTube SEO 专家 |
| 卖货 / 销售话术 | 7 电商带货主播 |
| 育儿 / 家庭场景 | 8 母婴亲子博主 |
| 美妆护肤 / 成分党 | 9 美妆护肤测评师 |
| 数码评测 / 横评 | 10 数码科技博主 |
| 探店打卡 / 视觉化 | 11 美食探店博主 |
| 财经 / 数据分析 | 12 财经投资评论员 |
每个 persona 的完整 system_prompt 在 `idea_models.PERSONAS` 中,按统一模板填空(详见 plan §13.1.B)。
---From LZM163126lzm/openakita, AGPL-3.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 15, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- AGPL-3.0
- Repository
- github.com/LZM163126lzm/openakita
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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idea-research skill. Agent Mart. https://agentmart.dev/skills/lzm163126lzm-idea-research (last updated 2026-10-24)