senior-architect
Senior software architecture workflows and tooling for system design, scalability and reliability planning, API/data modeling, trade-off analysis, ADR…
Skill by vadimcomanescu
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/vadimcomanescu-senior-architect
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About
Use cases: documents, design, backend, data
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/senior-architect
What's inside
- Skill name
senior-architect- Description
- Senior software architecture workflows and tooling for system design, scalability and reliability planning, API/data modeling, trade-off analysis, ADR writing, and producing clear architecture diagrams (Mermaid). Use when you need to define or revise architecture for a feature/system, choose technologies, document decisions, or review an existing codebase’s architecture.
- License
- MIT
- Instructions
- 46 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (11)
- LICENSE.txt
- SKILL.md
- adr-template.md · assets/
- architecture-template.md · assets/
- mermaid-context-template.mmd · assets/
- architecture-patterns.md · references/
- system-design-workflow.md · references/
- tech-decision-guide.md · references/
- architecture_diagram_generator.py · scripts/
- dependency_analyzer.py · scripts/
- project_architect.py · scripts/
SKILL.md (first lines)
# Senior Architect Design and document architectures that are clear, defensible, and shippable. ## Quick Start 1) Clarify constraints: - Primary user journey + success metrics - Non-functional requirements (latency, throughput, availability, cost, compliance) - Team constraints (skills, timelines, operational maturity) 2) Produce outputs (in this order): - **Context**: system boundary + external dependencies - **Containers**: major runtime components and responsibilities - **Interfaces**: APIs/events/contracts + data ownership - **Risks**: failure modes + mitigations + open questions - **Decisions**: ADRs with explicit trade-offs ## Use the bundled tools (optional, but recommended) From your project root, run the scripts from the installed skill directory (default install location: `~/.codex/skills/senior-architect/`). Bootstrap a documentation skeleton (ADR + architecture doc templates): ```bash python ~/.codex/skills/senior-architect/scripts/project_architect.py . --out docs/architecture ``` Summarize dependencies and detected stack signals (Node/Python/Go/Rust, Next.js, Postgres, etc.): ```bash python ~/.codex/skills/senior-architect/scripts/dependency_analyzer.py . --json --output /tmp/deps.json ``` Generate a starter Mermaid diagram based on detected components: ```bash python ~/.codex/skills/senior-architect/scripts/architecture_diagram_generator.py . --out docs/architecture/diagram.mmd ``` ## References (load only when needed) - Architecture patterns and when to use them: `references/architecture-patterns.md` - End-to-end system design workflow + checklists: `references/system-design-workflow.md` - Tech decision matrixes (DB, APIs, queues, caching, observability): `references/tech-decision-guide.md` ## Deliverables (what “done” looks like) - `docs/architecture/ARCHITECTURE.md` with clear boundaries, contracts, data ownership, and scaling assumptions - At least one ADR under `docs/architecture/adr/` for the most consequential decision - A Mermaid diagram (`.mmd`) that matches the written architecture
From vadimcomanescu/codex-skills, MIT.
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Signals
- Stars
- 25
- Forks
- 8
- Open issues
- 2
- Last commit (this folder)
- Jan 19, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/vadimcomanescu/codex-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Data science workflow for turning ambiguous questions into measurable metrics, experiments, and models.
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Local webapp testing workflow using Python + Playwright: start servers, explore DOM, take screenshots, capture console logs, and verify user flows.
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Cite this page
senior-architect skill. Agent Mart. https://agentmart.dev/skills/vadimcomanescu-senior-architect (last updated 2026-10-24)