prime

Inject essential session context by running predefined commands and scanning directories.

2|1|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/toneron2/agentic-platform --skill prime-toneron2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prime
Source: https://github.com/toneron2/agentic-platform/tree/main/.claude/skills/prime
Command: npx skills add https://github.com/toneron2/agentic-platform --skill prime-toneron2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill efficiently loads essential context at the start of an AI session, ensuring the agent has the necessary information without exceeding token limits.

Core Features & Use Cases

  • Context Condensation: Gathers and summarizes key information from various sources like task trackers, knowledge bases, and previous sessions.
  • Prioritized Loading: Focuses on actionable items like ready tasks and overdue alerts.
  • Use Case: When you start a new work session, the agent automatically primes itself with your most urgent tasks, recent notes, and pending items, allowing you to dive straight into productive work.

Quick Start

Let the prime skill prepare the context for your new session.

Frequently Asked Questions about prime

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I inject context into an AI agent session at startup?

To inject context into an AI agent session at startup, predefined commands are run and relevant directories are scanned to gather essential information. This automatically primes the agent with condensed, actionable summaries without exceeding token limits.

What is the best way to manage pending tasks and recent activity for AI workflows?

Managing pending tasks and recent activity for AI workflows requires scanning local file systems and task trackers to condense key information. The session state is automatically summarized to provide prioritized loading of actionable items like overdue alerts.

How does context condensation prevent token limits from being exceeded in task management?

Context condensation prevents token limit issues by gathering and summarizing key information from task trackers, knowledge bases, and previous sessions. It focuses on prioritized, actionable items to ensure the agent receives necessary information efficiently.

Do I need task management system integration to prime a session with local files?

Yes, task management system integration and local file system access are required to prime a session. These dependencies allow the retrieval of pending items, recent notes, and urgent tasks to generate a condensed context summary.

Can I load previous session state and knowledge base notes automatically?

Yes, previous session state and knowledge base notes can be loaded automatically. The startup process scans relevant directories and task trackers to summarize recent activity, allowing you to dive straight into productive work.

What are the limitations of using directory scanning for session state retrieval?

The limitation of using directory scanning for session state retrieval is the strict dependency on local file system access and task management system integration. Without these connections, the automated context priming cannot gather the necessary actionable summaries.