Greenroom: Turn a Resume and JD into a Full Interview Prep Workspace

Where this fits

You have an interview in three days. Your agent has your resume and a job description link, but so far it has only produced generic advice. You need a structured pipeline that gathers company intel, matches your experience to the role, and drafts practice scripts — all in one pass. Greenroom is the skill that turns that vague request into a real, organized prep workspace.

Why agents benefit

• End-to-end orchestration: It accepts a resume, company, and JD, then sequentially runs specialized sub-skills (job-intel, story-bank, industry-brief, interview-script) without requiring the user to re-explain context at each step.
• Progress-aware communication: Each step writes to disk and reports only a single progress line, keeping the agent from burying the user in intermediate output before the final bundle is ready.
• Style personalization: It reads a user-provided speaking sample or preference (e.g., "calm, minimal rhetoric") and injects that into profile.md, so generated verbatim scripts match the candidate’s real voice.
• Procedure completeness: It collects missing inputs (resume text, JD content, preference) at the start, so the agent doesn't get stuck mid-pipeline asking for details it should have requested upfront.
• Context persistence: All outputs are written to a structured directory (jobs/<slug>/, story-bank.md, library/), giving the agent a durable, referencable workbench for follow-up edits or later interviews.

Practical scenarios

Full pipeline for a scheduled interview

A user pastes a resume and says "帮我准备面试" with the target company's JD. Greenroom checks for missing pieces, fills gaps by asking one consolidated question, then runs all four stages. The agent returns a single summary with links to intel, experience cards, industry brief, and scripts.

Single-step routing from a mid-conversation cue

While chatting about their background, the user mentions they have a final round next week. Greenroom detects they already have a workspace and routes only to interview-script to generate tailored answers for that specific round, instead of rerunning the entire pipeline.

Non-English interview prep with localized triggers

The skill is explicitly built for Chinese-language cues (面试准备, 一条龙) which expands the agent’s usefulness for a global user base. It also handles mixed-language inputs (English resume + Chinese JD) by keeping the structured workspace language-agnostic.

Add it to your agent workflow

Install the skill with:

npx skills add YunyueLi/greenroom --skill greenroom

Then trigger it from an agent prompt like:

User: “I have an interview with Stripe next week. Here is my resume and the JD link. Prepare me.”
Agent: (calls greenroom, which asks for the missing JD text, then runs the full pipeline)

For a practical walkthrough of how this skill fits into a broader agent toolchain, you can also review its catalog page at https://www.openagentskill.com/skills/yunyueli-greenroom.

Compare before adopting

Don't pick Greenroom just because it's categorized as a research skill. Evaluate it against:

• Quality signals: Does the generated intel go beyond a web search summary? Check the README for how it validates JD alignment.
• Maintenance freshness: Last release was version 0.3.0; check if sub-skills are kept in sync as interview trends change.
• Alternatives: You might already have a general web-research skill; compare if the structured output pipeline actually saves more steps than a custom prompt chain.
• Workflow fit: If your users rarely bring a full JD or resume, the strict input collection may feel heavy — consider if single-step routing covers your typical use case.

Why it is worth tracking

With only 11 stars, Greenroom is still early, but the design is opinionated and practical: it solves a real bottleneck in interview prep agents (moving from generic advice to a compilable, style-matched deliverable). The AGPL license and dated version indicate active development worth monitoring. Re-evaluate when it crosses major version 1.0 or when new sub-skills (e.g., mock-interview drills) are added — those would make it a stronger default for career-coaching agents.