eni-architecture-workflow
SkillDocs & knowledge[DOCUMENTATION ONLY] [仅文档] Architecture inventory, component boundaries, data-flow, threat review, diagrams, and documentation workflow. Use for complete architecture analysis.
Use eni-architecture-workflow in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add eni-architecture-workflow and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the eni-architecture-workflow skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by alicewe1/alice_skill in _modules/eni-architecture-workflow/SKILL.md and read by Ahel’s review.
仅文档:本 Skill 提供方法与检查表,不宣称自带可执行脚本。
Architecture Workflow
Inventory components and interfaces. Map data and control flow, state, dependencies, failure modes, and trust boundaries. Verify every claim against source or runtime evidence. Deliver diagrams and an actionable architecture report.
Persist checkpoints before long runs. Record commands, versions, hashes, evidence paths, assumptions, and verification results. Chain through eni-universal-workflow and finish with delivery.
Signals
- GitHub stars
- 36
- Forks
- 6
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
eni-architecture-workflow- Source
- github.com/alicewe1/alice_skill
github.com/alicewe1/alice_skill
More in Docs & knowledge
Skill · mattpocock
More in Docs & knowledgecanvas-design
Skill · anthropics
More in Docs & knowledgedoc-coauthoring
Skill · anthropics
More in Docs & knowledgepopups
Skill · coreyhaines31
More in Docs & knowledgewriting-for-agents
Skill · mattpocock
More in Docs & knowledgespec-driven-development
Skill · addyosmani
More in Docs & knowledge