abanoub-ashraf/gpt--architect
gpt--architect/SKILL.md
Delegate architecture, system design, and complex debugging to a sub-agent expert
development
Updated Mar 26, 2026
$ install --global
skillsauthnpx skillsauth add abanoub-ashraf/manus-skills-import gpt--architectInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 14, 2026, 11:15 PM211.8s1 file scanned
SKILL.md
- name:
- gpt--architect
- description:
- Delegate architecture, system design, and complex debugging to a sub-agent expert
GPT Architect Expert (Codex)
Use a sub-agent to analyze architecture, tradeoffs, or complex debugging with a strong systems perspective.
When to Use
- System design decisions
- Database schema design
- API architecture
- Multi-service interactions
- After 2+ failed fix attempts (fresh perspective)
- Tradeoff analysis (e.g., "Redis vs Memcached")
- "How should I structure..." questions
Workflow
- Gather context (current architecture, constraints, goals, relevant files/snippets).
- Spawn a sub-agent for analysis-only guidance.
- Synthesize the response and apply judgment.
- If implementation is requested, spawn a second sub-agent with explicit file scope.
Sub-Agent Prompt Template
Use functions.spawn_agent with agent_type: "default":
TASK: [Analyze/Design/Recommend] [system/component] for [goal]. EXPECTED OUTCOME: Clear recommendation with rationale and effort estimate. CONTEXT:
- Current architecture: ...
- Relevant code/files: ...
- Problem/Goal: ... CONSTRAINTS:
- Must work with ...
- Cannot change ... MUST DO:
- Bottom line up front
- Provide effort estimate (Quick/Short/Medium/Large)
- Call out risks and tradeoffs MUST NOT DO:
- Over-engineer for hypothetical futures
- Assume missing constraints OUTPUT FORMAT: Bottom line → Options → Recommendation → Effort/Risks
Implementation Mode
If the user wants changes, spawn a new sub-agent with agent_type: "worker" and specify exact files and constraints. Require a clear list of edits and verification steps.
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