Agent Skills
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interview-question-preparer
GitHub为指定人物或项目准备基于公开证据的博客/媒体采访提纲。通过研究背景、评估信息充分性,撰写包含具体问题和来源引用的Markdown文档,确保内容客观准确,适用于深度访谈而非招聘面试。
Trigger Scenarios
需要为某位创始人或作者准备媒体采访问题
生成基于公开资料的人物专访提纲
Install
npx skills add AgentEra/Agently --skill interview-question-preparer -g -y
SKILL.md
Frontmatter
{
"name": "interview-question-preparer",
"description": "Prepare an evidence-backed blog\/media interview preparation brief for a specified person by researching public context, reflecting on information sufficiency, and writing the final Markdown deliverable."
}
Interview Question Preparer
Use this Skill when the task is to prepare a serious blog-style or media-style interview brief for a specified person, author, founder, maintainer, or project owner. This is for a published article or long-form conversation, not a hiring interview, recruiting screen, or candidate evaluation.
Workflow
- Clarify the interview target, audience, and intended article angle from the task input.
- Research public context before drafting. Search broadly first, then browse only the most relevant pages.
- Keep compact notes for source URLs, source titles, and why each source is relevant.
- Reflect on information sufficiency:
- what is well-supported by public evidence;
- what is weak, ambiguous, or missing;
- whether any supplied affiliation, organization, work, role, or alias is contradicted or not supported by the sources;
- whether another search or browse step is needed before finalizing.
- Draft grouped article interview questions that connect the person, project, product philosophy, technical tradeoffs, community adoption, business context, personal narrative, tensions, and future direction.
- Write the final Markdown deliverable to the requested workspace path.
- After writing or revising the requested file, read file back from the workspace when a workspace read capability is available, then include a concise validation checklist in the final response so the verifier can inspect the written content against the task criteria.
Output Requirements
The final Markdown file must include:
- title;
- target and audience;
- story/interview angle;
- source notes with URLs or source labels;
- sufficiency reflection;
- grouped blog/media interview questions;
- at least eight concrete questions;
- a short closing section for optional follow-up probes.
Boundaries
- Do not invent biographical facts when public evidence is weak.
- Mark weak assumptions explicitly.
- Source notes must be specific: include a URL, title, or clear source label, plus one sentence explaining why that source matters to the interview angle.
- If the user's wording implies an affiliation or relationship that sources do not support, mark it as uncertain or contradicted instead of repeating it as fact.
- When public evidence is sparse, state low confidence, list unknowns, and use clarifying or exploratory questions rather than invented biography.
- When names, aliases, or same-name people are ambiguous, preserve the user's original wording and explain the disambiguation choice.
- When multiple targets are supplied, include target-specific questions for each target and comparative article questions that connect them.
- Prefer questions that can elicit original insight from the interviewee, not generic product promotion.
- Do not frame the deliverable as a job interview, hiring guide, candidate assessment, or recruiting screen.
- If the task asks for a file, use the workspace file-writing capability and report the written path.
- If the task is correcting a previously written file, prefer reading the file before deciding whether to patch or fully rewrite it.
Version History
- 4f2a184 Current 2026-08-20 15:26


