Repository
MetaInFLow/Enterprise-ai-scenario-map-skill agent skills
- skill
- 1
- GitHub stars
- 632
GitHub description: “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”
- Stars
- 632 (25 forks)
- Licence
- MIT
- Last push
- Apr 2026
- Created
- Apr 2026
- enterprise-ai
- open-source
- skill
Install all skills
npx skills add MetaInFLow/Enterprise-ai-scenario-map-skillAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in MetaInFLow/Enterprise-ai-scenario-map-skill, ranked
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 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。 | MetaInFLow/ | 632 | — | ~1.8k | Automated safety check: Pass | MIT | 6 mo ago |
Questions, answered from the data.
What is the best skill in MetaInFLow/Enterprise-ai-scenario-map-skill?
Enterprise AI Scenario Map from MetaInFLow/Enterprise-ai-scenario-map-skill ranks first of the 1 skills in MetaInFLow/Enterprise-ai-scenario-map-skill listed here, with the highest score: its repository has 632 GitHub stars, its SKILL.md loads about 1.8k tokens and it passes the automated safety check with no findings.
Are the skills in MetaInFLow/Enterprise-ai-scenario-map-skill official?
None yet. All 1 skills in MetaInFLow/Enterprise-ai-scenario-map-skill listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from MetaInFLow/Enterprise-ai-scenario-map-skill?
Run npx skills add MetaInFLow/Enterprise-ai-scenario-map-skill in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.