greenroom
Interview preparation workbench entry point. Runs the full pipeline from resume + target company + JD to a complete prep workspace (research, experience bank, verbatim scripts, industry brief), or routes to a single step. Use when the user says they have an interview coming up, w
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add YunyueLi/greenroom --skill greenroom
Maintenance
fresh
Pushed today
Risk
Needs review
The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
GitHub quality
11
57/100 Quality · 71/100 Trust
Coverage tags
Review notes
The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them. · Low GitHub adoption signal
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
11 GitHub stars
Repo activity
11 stars, 1 forks
Maintenance
Pushed today
License
AGPL-3.0
Install
npx skills add YunyueLi/greenroom --skill greenroom
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 11 GitHub stars
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add YunyueLi/greenroom --skill greenroom
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 63/100
- Audit
- 75/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add YunyueLi/greenroom --skill greenroomDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
- No OpenAgentSkill engagement data yet
Alternative
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
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DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent safety v2
59/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install yunyueli-greenroomAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20greenroom%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20greenroom%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yunyueli-greenroom/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use greenroom in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20greenroom%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yunyueli-greenroom/install
Install command: npx skills add YunyueLi/greenroom --skill greenroom
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/yunyueli-greenroom/install
LLM text format
/api/skills/yunyueli-greenroom/install?format=text
Find alternatives
/api/skills/search?q=greenroom&limit=3
Agent prompt
Use greenroom for this task. Review https://www.openagentskill.com/api/skills/yunyueli-greenroom/install, then install with: npx skills add YunyueLi/greenroom --skill greenroomRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/yunyueli-greenroom
LLM text
/api/registry/manifest/yunyueli-greenroom?format=text
Install alias
/api/registry/install/yunyueli-greenroom
Recommend
/api/registry/recommend?task=Use%20greenroom%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 75/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Needs validation for Research agents
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Research agents
Trust label
Needs manual review
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 57/100 quality profile
review first
- Low GitHub adoption signal
- The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX11 GitHub stars
Stars/forks activity
FIX11 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSAGPL-3.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- The skill depends on other skills (job-intel, story-bank, interview-script, industry-brief, mock-interview, debrief) that are not included in this submission; the entry point alone cannot complete the full pipeline without them.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 11 GitHub stars
- Stars/forks activity: 11 stars, 1 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Publish consistently
Content automation
I need my agent to turn research and product updates into useful content drafts.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Overview
--- name: greenroom description: Interview preparation workbench entry point. Runs the full pipeline from resume + target company + JD to a complete prep workspace (research, experience bank, verbatim scripts, industry brief), or routes to a single step. Use when the user says they have an interview coming up, wants interview prep, uploads a resume with a target job, mentions 面试准备 / 我要面试了 / 帮我准备面试 / 帮我把面试材料全做出来 / 一条龙, or asks "where do I start". Do NOT use for writing resumes from scratch, salary negotiation after offer, or live in-interview assistance. license: AGPL-3.0 metadata: author: Yunyue Li version: "0.3.0" ---
# Greenroom · 候场
入口 skill。两种用法:**全流程**(给齐简历 + 目标公司/岗位/JD,一次生成全套备战材料)或**单步路由**(识别用户处在哪一步,转给专项 skill)。
## 全流程(推荐的默认路径)
用户给出(缺什么问什么,一次问全):
1. 简历(文本或文件路径) 2. 目标公司 + 岗位名 + JD 原文(或链接) 3. 表达风格偏好(可选:自己的说话样本/过往面试转写,或一句描述,如"沉稳、少修辞";写进 profile.md 的「风格偏好」节,逐字稿按它调)
然后按序执行,每步落盘后只汇报一行进度,不中途长篇输出:
| 步 | 调用 | 产出 | |----|------|------| | 1 | 初始化工作台(见下) | profile.md 骨架 | | 2 | job-intel | `jobs/<slug>/intel.md`(公司与面试官调研、JD 逐条对照、考题预测) | | 3 | story-bank | `story-bank.md`(经历卡,含本岗讲法) | | 4 | industry-brief | `library/<行业-岗位>-通识.md`(行业与岗位参考阅读) | | 5 | interview-script | `jobs/<slug>/script.md`(可朗读逐字稿) |
收尾:汇报生成清单 + 提示工作台目录位置(Markdown 直接读,或用任一按 docs/workspace-spec.md 实现的客户端打开);建议面试前跑一次 mock-interview、面试后 24 小时内跑 debrief。
## 六步方法(单步路由用)
| # | 步骤 | 做什么 | 专项 skill | 产出文件 | |---|------|--------|-----------|----------| | 1 | 岗位调研 | JD 拆解、公司/面试官调研、考题预测 | job-intel | `jobs/<slug>/intel.md` | | 2 | 经历库 | 把真实经历整理成经历卡,按岗选讲法 | story-bank | `story-bank.md` | | 3 | 逐字稿 | 口语化、可直接朗读的答题稿 | interview-script | `jobs/<slug>/script.md` | | 4 | 行业通识 | 行业格局、岗位画像、高频概念参考阅读 | industry-brief | `library/*.md` | | 5 | 模拟面试 | 按面试官背景出题、连续追问、评分 | mock-interview | `jobs/<slug>/rounds/mock-N.md` | | 6 | 面后复盘 | 复原问答、沉淀本轮要点 | debrief | `jobs/<slug>/rounds/rN-debrief.md` |
贯穿所有步骤的底线:生成内容只用候选人真实给出的经历和数字,数字要带得出出处,给不出准确数字就用定性说法,绝不编。
## 找到或创建工作台
工作台是一个本地文件夹,格式契约见仓库 `docs/workspace-spec.md`。判定顺序:
1. 当前目录或其子目录里找 `profile.md` + `jobs/`(或 frontmatter 带 `type: profile` 的文件)→ 找到即用,向用户确认一句。 2. 找不到 → 问用户工作台在哪;用户说没有 → 走初始化。
### 初始化流程
1. 问清两件事:工作台建在哪个路径;候选人简历(贴文本或给文件路径)。 2. 创建目录骨架:
``` <workspace>/ ├── profile.md ├── story-bank.md ├── library/ └── jobs/ ```
3. 从简历提取生成 `profile.md`(frontmatter `type: profile`):履历线(时间倒序)、教育背景、关键数字;用户给了风格偏好就加「风格偏好」节。提取数字时把出处一并记在 profile.md 里(哪份报表/哪次复盘),后续逐字稿要用;用户记不清出处的数字标「待核」。 4. 建议用户在工作台目录 `git init`,私有保存。**提醒:工作台含个人简历与面试材料,永远不要放进公开仓库。**
## 单步路由表
| 工作台状态 | 下一步 | |-----------|--------| | 没有 `jobs/<slug>/job.md`(用户提到新岗位) | 建岗位目录 + job.md,然后跑 job-intel | | 有 job.md、没 intel.md | job-intel | | story-bank.md 为空或缺该岗位讲法 | story-bank | | 有调研和经历卡、没 script.md | interview-script | | library/ 没有该行业岗位的通识 | industry-brief | | 材料齐了、面试在 48 小时内 | mock-interview | | 用户说"刚面完" | debrief |
路由方式:直接说明该做哪步、调用对应 skill(插件安装下是 `/greenroom:job-intel` 等;standalone 安装下按 skill 名触发)。如果用户一句话里带了材料(贴了 JD、贴了面试回忆),别走流程问答,直接进对应步骤。
## 姿态约定(贯穿所有步骤)
- **只讲真话,讲到最好**。生成内容时禁止编造用户没有的经历和数字,缺什么就问。 - 用户时间紧。能从工作台文件里读到的信息不要再问一遍。 - 中文用户默认全程中文交付。
Technical details
- Version
- 1.0.0
- License
- AGPL-3.0
- Last updated
- Aug 23, 2026
- Published
- Aug 23, 2026
Decision snapshot
Needs validation
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 80/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for greenroom, ready for a manual X post.
A practical pick for source-backed research: greenroom: Interview preparation workbench entry point. Runs the full pipeline from resume + target company + JD to a complete prep wo... 11 stars https://www.openagentskill.com/skills/yunyueli-greenroom?ref=x
Optional reply with install command
Listing + install path for greenroom: https://www.openagentskill.com/skills/yunyueli-greenroom?ref=x Install: npx skills add YunyueLi/greenroom --skill greenroom
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- YunyueLi
- Source
- YunyueLi/greenroom
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to YunyueLi but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yunyueli-greenroom)
[](https://www.openagentskill.com/skills/yunyueli-greenroom)
[](https://www.openagentskill.com/skills/yunyueli-greenroom/audit)
[](https://www.openagentskill.com/skills/yunyueli-greenroom)Author
YunyueLi
@yunyueli
Tags
Platform fit
Health signals
- GitHub stars
- 11
- Quality score
- 31/100
- Last GitHub push
- Aug 23, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption11 GitHub starsFIX
- Stars/forks activity11 stars, 1 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityAGPL-3.0PASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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