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- P.L.A.N. Agentic Workflow
P.L.A.N. Agentic Workflow
A strict 4-step execution protocol for AI agents to ensure architectural planning and reliable code delivery.
$8
Works with the AI Agents you already use
P.L.A.N. Agentic Workflow
Example session with this skill installed
I want to build a simple task tracker using Vite and Tailwind CSS. Start the P.L.A.N. process.
- Read your context and instructions
- Compiled the p l a
PREPARE
I will build a Vite-based task tracker with Tailwind CSS.
Question: Should tasks persist in localStorage or a database?
Blueprint
- src/components/TaskInput.tsx
- src/components/TaskList.tsx
- src/hooks/useTasks.ts
- src/App.tsx
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
AI agents often rush into implementation without a strategy, leading to messy code dumps and hallucinated fixes when errors occur. Without a structured protocol, agents struggle to maintain context during complex builds or recover from terminal failures.
What it does
- Enforces a strict 4-step execution loop: Prepare, Launch, Action, and Navigate.
- Requires structural blueprints and dependency verification before writing a single line of code.
- Mandates incremental file-by-file generation to prevent context overflow and ensure code quality.
- Systematizes error handling by diagnosing root causes from logs rather than guessing solutions.
Frameworks & tools
Optimized for Claude Code, Cursor, Opencode, and Cline. Compatible with any modern web stack including Vite, React, Node.js, and standard package managers.
Why this beats prompting it yourself
Manually managing an agent's state and discipline is exhausting and inconsistent. This skill embeds a senior-level mental model directly into the agent's operating instructions, ensuring it never skips the architecture phase or panics during debugging.
Use cases
- Scaffolding new full-stack applications with verified folder structures.
- Methodically building complex features that require multi-file synchronization.
- Debugging environment-specific issues by forcing log-based diagnosis.
- Iterative UI/UX refinement after core logic is proven stable.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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