GH Repository · GanyuanRan
Aegis
Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
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dsh-pluginPythonspec-kitspec-driven-developmentagent-skillsawsome-coding-pluginai-agentscodexarchitecture-driven-developmentopencodeclaude-codeai-codingsoftware-architecturecoding-agentsskill-packdiveevidence-drivennodebaseline-firstfirst-principles
Aegis is a skill pack that makes AI coding agents architecture-aware, described as baseline-first, evidence-verified, and drift-checked across long tasks. It ships configuration files for multiple agent tools: AGENTS.md, CLAUDE.md, and cursor rules.
Use it when you want coding agents like Claude Code, Codex, or OpenCode to follow an architecture baseline and verify changes against evidence instead of drifting during long tasks.
Use it to
- Install architecture-aware skills into Claude Code via CLAUDE.md
- Add baseline-first rules to Cursor projects
- Configure AGENTS.md conventions for Codex or OpenCode
- Keep long agent coding tasks aligned with a software architecture baseline
- Apply spec-driven, evidence-checked workflows to coding agents
For Developers using AI coding agents on structured codebases
- Role
- skill-pack
- Language
- Python
- Licence
- MIT
- Forks
- 52
- Last push
- 2026-09-16
- Latest release
- v1.0.6 · 2026-05-05
- Skills shipped
- 22
topicsai-coding-agentsarchitecture-driven-developmentagent-skillsclaude-codespec-driven-developmentcursor-rules