Pitch Amplifier
Use the bundled script to turn a rough clue into a deeper reporting plan.
Workflow
- 1. Normalize the user's clue into graph-query keywords.
- Retrieve nearby issues, institutions, and relation chains from the graph.
- Generate an editor-style pitch memo with:
- 图谱关联洞察
- 破局角度
- 建议采访清单
- 4. If the graph has weak coverage, say so clearly and treat it as a reporting gap instead of pretending certainty.
Use the script
Primary script:
Typical usage:
CODEBLOCK0
Interactive mode:
CODEBLOCK1
Constraints
- - Prefer graph-grounded output over generic feature writing.
- Do not hard-code one topic template across all topics.
- When graph recall is weak, explicitly mark the topic as a graph blind spot.
- Keep interview lists specific to the detected issue cluster: transport, ecology, governance, operations, market, etc.
Topic routing rule
Infer the dominant issue family from graph context before generating the memo:
- - Transport / crowding / parking / carrying capacity
- Ecology / wetland / habitat / environmental protection
- Cultural tourism / event operations / post-event sustainability
- Governance / multi-department coordination / responsibility structure
- Market / business survival / operator pressure
If multiple families appear, keep 2-3 strongest ones and organize the memo around tension between them.
音调放大器
使用配套脚本将粗略线索转化为深度报道计划。
工作流程
- 1. 将用户的线索标准化为图谱查询关键词。
- 从图谱中检索相关议题、机构及关系链。
- 生成编辑风格的选题备忘录,包含:
- 图谱关联洞察
- 破局角度
- 建议采访清单
- 4. 若图谱覆盖不足,需明确说明,将其视为报道盲区而非假装确定。
使用脚本
主脚本:
- - scripts/skillpitchamplifier.py
典型用法:
bash
python3 scripts/skillpitchamplifier.py 最近园博园挺热闹,但我感觉大型活动越来越多,周边交通和承载压力可能会越来越大,这个选题能怎么做深?
交互模式:
bash
python3 scripts/skillpitchamplifier.py
约束条件
- - 优先输出基于图谱的内容,而非通用特稿写作。
- 不得对所有主题硬编码同一模板。
- 当图谱召回不足时,需明确标注该主题为图谱盲区。
- 采访清单需针对检测到的具体议题集群:交通、生态、治理、运营、市场等。
主题路由规则
在生成备忘录前,根据图谱语境推断主导议题类型:
- - 交通/拥堵/停车/承载能力
- 生态/湿地/栖息地/环境保护
- 文旅/活动运营/赛后可持续性
- 治理/多部门协调/责任架构
- 市场/商业生存/运营方压力
若出现多个类型,保留2-3个最强类型,并围绕它们之间的张力组织备忘录。