Plan and implement tasks from technical proposals with project memory.
npx skills add https://github.com/Lands-1203/Flow2Spec --skill f2s-req-plan
Please help me install this Agent Skill. Skill: f2s-req-plan Source: https://github.com/Lands-1203/Flow2Spec/tree/main/.cursor/skills/f2s-req-plan Command: npx skills add https://github.com/Lands-1203/Flow2Spec --skill f2s-req-plan
This Skill addresses the challenge of repetitive code searches and introductions by providing AI-driven project memory, ensuring that AI always knows the project context.
Run the f2s-req-plan skill to plan and implement a new task based on a technical proposal or requirement description.
High-intent search queries and answers about installing and using this skill.
AI-driven task planning maintains project memory by storing and retrieving project context across sessions, eliminating repetitive code searches and ensuring the AI always knows the project state. It uses task checklists to track progress continuously.
Parallel execution with sub-agents works by distributing task implementation steps across multiple concurrent agents. This allows the system to handle complex technical proposals simultaneously while tracking overall progress through unified task checklists.
Yes, you must configure f2s-task and synchronize the knowledge base before planning technical requirement implementations. This prerequisite setup enables the AI to properly store project context and execute parallel sub-agent tasks.
The best way to track task progress from technical proposals to implementation is using AI-driven task checklists. These checklists monitor each planning and implementation step across sessions, ensuring continuous context awareness and progress visibility.
Yes, project memory directly stops repetitive code searches by retaining your project context across sessions. This ensures the AI automatically references existing architecture and logic without requiring manual re-introduction of the codebase.
Task planning requires knowledge base synchronization to ensure all parallel sub-agents share the same accurate project context. Without this synchronization, sub-agents cannot execute implementation steps cohesively or update task checklists accurately.
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