act
Execute pre-planned tasks with subtasks through a 4-phase workflow (init, execute, verify, approve).
Extract tacit engineering knowledge through guided interviews and generate structured steerings. Use when user mentions "steerings", "tacit knowledge", "conventions", "engineering practices", "interview", or wants to document team/project knowledge. Also activates when user asks for "steerings for X", "document X conventions", "continue steerings", "resume interview", or wants to extract knowledge about a specific topic. Supports reviewing and transforming existing steerings to standard format. Auto-detects existing sessions and offers to continue incomplete ones.
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Install skill "steering-specs-generator" with this command: npx skills add frznfrgg/skillsmp-frznfrgg-frznfrgg-steering-specs-generator
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Related by shared tags or category signals.
Execute pre-planned tasks with subtasks through a 4-phase workflow (init, execute, verify, approve).
Onboard the AI coding agent to the project structure and current state. Use when starting work in a repository, after context loss, before making code changes, or whenever Codex needs a fast understanding of the architecture, recent development status, `.memory-bank` notes, and Serena memories.
Detects whether anyone has fallen within a target area. Supports video stream analysis and is suitable for real-time safety monitoring of elderly people living alone. | 跌倒检测视频版技能,检测目标区域内是否有人跌倒,支持视频流检测,适用于独居老人居家安全监测
Detects whether anyone has fallen within a specified target area. Supports both image and short video analysis. Suitable for scenarios such as home care for elderly people living alone and safety monitoring in nursing homes. | 检测目标区域内是否有人跌倒,支持图片和短视频检测,适用于独居老人居家看护、养老院安全监测等场景