Industry-Brief: Turn Job Prep into Structured Knowledge

Where this fits

A candidate is prepping for a product manager role in fintech and says, "I know the job, but I don't know the industry well enough to talk about it." Your agent needs to produce a concise, sourced briefing covering market landscape, role expectations, must-know concepts, high-frequency interview topics, and quotable viewpoints — not a company deep-dive or a scripted answer. That's exactly what industry-brief does, as part of the greenroom pipeline.

Why agents benefit

• Structured output: Generates a markdown file with fixed sections (landscape, role, concepts, topics, viewpoints), so the agent doesn't improvise an ad-hoc format.
• Source-backed research: Every hard claim gets a link, and uncertain items are flagged — reducing hallucination and giving the user a fact-check path.
• Reuses existing knowledge: Checks the local knowledge/ directory for prior industry×role entries, avoiding redundant research and enabling incremental updates.
• Clear boundaries: Explicitly excludes company-specific research (use job-intel) and answer scripts (use interview-script), preventing scope creep and mixing purposes.
• Repeatable artifact: Writes to library/, so the briefing becomes a permanent reference the user can revisit and update as the interview date approaches.

Practical scenarios

Career switcher needs industry orientation

A developer moving into a DevOps role asks, "这个行业要懂什么？" The skill produces a briefing covering cloud infrastructure players, common tooling concepts, and current debates like "platform engineering vs. SRE" — exactly what a switcher lacks.

Interviewer probes industry debates

During mock interviews, the agent surfaces high-frequency topics with question angles, such as "Why did company X pivot to AI?" It pulls from public interviews and news, giving the candidate practice material that's grounded in real discussions.

Role boundary clarification

A candidate for a data analyst role is fuzzy on how it differs from data engineer or business analyst. The skill's "岗位画像" section defines daily tasks, output metrics, and adjacent roles — clearing up confusion before the interviewer tests it.

Add it to your agent workflow

Install the skill:

npx skills add YunyueLi/greenroom --skill industry-brief

Then trigger it from a user request like "生成行业通识 for a fintech product manager" — the agent will read the existing job context, research, and write to library/fintech-product-manager-通识.md with all required sections and sources.

Compare before adopting

• Quality signals: Check the README for source-citation discipline and whether “未核实” is used honestly. Look at the knowledge/ base — is it maintained?
• Maintenance freshness: The repo has 11 stars and version 0.3.0. Is it actively updated? Last commit date matters.
• Alternatives: Consider building your own research agent; but this skill saves time by pre-defining structure and boundaries.
• Workflow fit: Does your agent already have a library/ folder convention? Does it integrate with the other greenroom skills (job-intel, interview-script)? If you only need occasional briefs, a simpler prompt might suffice.

Why it is worth tracking

industry-brief is a focused, opinionated skill that solves a real gap in interview-prep pipelines: turning scattered web research into a reusable, structured reference. Its quality signals are solid — explicit sourcing, a clear scope, and a versioned metadata block. Community momentum is modest (11 stars), but the author is actively iterating. Evaluate it when you want your agent to produce dependable, source-backed industry knowledge without reinventing the format each time.