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MetaInFLow/Enterprise-ai-scenario-map-skill
咨询AI Agent Skill - 为任何企业自动生成 AI 应用场景地图报告 | Auto-generate AI scenario map reports for any enterprise
History
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Heat
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- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
How it works
enterprise-ai-scenario-map
When your agent uses it
企业AI场景地图生成报告工具。通过 web-search 深度调研企业信息，按照V2.1标准模板生成结构化AI应用场景地图报告，包含企业画像、业务诊断、行业实践、AI场景全量表、实施路径等完整内容。
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
4,450 tokensWhen the skill is activated
Reference documents
21,147 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Scripts executed separately
scripts/deep_research_wrapper.py
Files
.gitignoreasset257 bytesLICENSEasset1,087 bytesREADME.mddoc8,027 bytesSKILL.mdcore15,548 bytesSKILL.mdcore15,548 bytesreferences/business-analysis-framework.mddoc9,136 bytesreferences/company-info-config.mddoc1,857 bytesreferences/industry-case-template.mddoc8,942 bytesreferences/report-template-v2.1.mddoc21,881 bytesreferences/scenario-priority-framework.mddoc7,347 bytesreferences/typical-ai-scenarios.mddoc13,046 bytesscripts/deep_research_wrapper.pyruns8,982 bytes
Read SKILL.md
# 企业AI场景地图生成器
## 任务目标
- 本Skill用于：为企业生成AI应用场景地图报告，帮助决策者快速识别可应用的AI场景及优先级
- 核心价值：让企业老板快速知道公司哪些场景可以用AI，应该优先启动哪些
- 能力包含：
1. 企业深度调研（公司信息、主营业务、产品、行业标签）
2. 业务特性与流程分析
3. 同行业AI最佳实践案例搜索
4. AI应用场景地图生成（30+场景全量表，含优先级建议）
5. 实施路径规划（分阶段落地计划）
- 触发条件：用户需要为某家企业制定AI落地规划，或想了解"我的公司如何用AI"
## 前置准备Skills included
- enterprise-ai-scenario-map
Repository facts
- License
- MIT
- Created
- Apr 1, 2026
- Last pushed
- Apr 1, 2026
- Forks
- 27
- Open issues
- 0
- Project activity
- Slowing
Rank over the last 12 weeks
Now #896 · best #790 · down 106 in 30 days
- #858 on Aug 28
- #860 on Sep 1
- #843 on Sep 3
- #790 on Sep 5
- #854 on Sep 14
- #896 since Oct 11
3 earlier periods
- #862 on Aug 1
- #795 on Aug 18
- #800 on Aug 23
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 1 note
SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 3 network referencesin 1 file: README.md:58
- No hidden or obfuscated text
- No instruction overrides
- 1 executable scriptin 1 file: scripts/deep_research_wrapper.py:1
- 1 reference to secretsin 1 file: .gitignore:33
- No requests to vote in Hot
Show all 5 signals by file
.gitignore
- Access to secretsline 33
[Credential-related source omitted]
README.md
- Network accessline 58
git clone https://github.com/YuanziAI/enterprise-ai-scenario-map.git - Network accessline 192
> *Let every enterprise see its AI future clearly.* > >  - Network accessline 194
> 
scripts/deep_research_wrapper.py
- Executable scriptline 1
#!/usr/bin/env python3
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 4 facts
- Network access in code of documentationREADME.md:58Low confidence
- Network access in prose of documentationREADME.md:192Low confidence
- Network access in prose of documentationREADME.md:194Low confidence
- Executable script in code of a file that runsscripts/deep_research_wrapper.py:1High confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
