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GAN design pipeline: run gan-generator → gan-evaluator in sequence. Loops until evaluator score ≥ 7.0.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Scan installed skills to extract cross-cutting principles and distill them into rules — append, revise, or create new rule files.
Audit all installed OpenClaw skills for quality: content overlap, freshness, and uniqueness. Supports Quick Scan (changed only) and Full Stocktake modes.
Cluster MEMORY.md entries by theme and optionally generate SKILL.md drafts.
Export MEMORY.md to a timestamped markdown file for sharing or backup.
Import memory entries from a markdown export file, merging with MEMORY.md without duplicating.
Show current workspace memory: MEMORY.md contents, pending recalls, and index status.
| name | cmd_gan_design |
| description | GAN design pipeline: run gan-generator → gan-evaluator in sequence. Loops until evaluator score ≥ 7.0. |
| user-invocable | true |
| origin | openclaw-mas |
| argument-hint | <project-path> <design description> |
Run specialist agents in sequence: gan-generator → gan-evaluator.
Include in the task payload:
Execute specialist agents in sequence: gan-generator → gan-evaluator
{
"agentId": "gan-generator",
"sessionKey": "gan-generator",
"task": "<task description with full context from previous step>",
"runTimeoutSeconds": 0
}
Wait for this agent to complete before proceeding.
{
"agentId": "gan-evaluator",
"sessionKey": "gan-evaluator",
"task": "<task description with full context from previous step>",
"runTimeoutSeconds": 0
}
Wait for this agent to complete before proceeding.
Do not spawn the next agent until the current one completes. Do not spawn agents in parallel. After all agents complete, return the final result to the user.