Roadmap for duplicating company network architecture into GNS3 and
building an automated pipeline to inject faults and validate AIOps
diagnosis, with traffic injection support for enhanced realism.
Add comprehensive roadmap document for optimizing the gns3/web-wireshark
Docker image size from current 2GB to target 1.5GB (25% reduction).
Key findings:
- 570MB of cleanable files identified (locales, docs, ibus, dev packages)
- Compression analysis shows limited benefit (1-5%) vs file cleanup (25%)
- Detailed implementation plan with safe optimization phases
- Focus on transfer optimization and build-time compression strategies
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Rewrite the packet-analysis document based on actual code:
protocol-oriented analysis with tshark, 40+ supported protocols,
two-tool architecture (skills query + capture analysis), field
validation, and hot reload support.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Document the planned CRUD + PR management API for GNS3 skills
(prompts, fault injection, device skills, packet analysis),
enabling the Web UI to browse, edit, save, and contribute
skill changes back to the upstream repository.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>