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briefing

Generate and maintain project briefing content across journals and profiles.

621|58|Updated Mar 15, 2026
Search Tags:#automation#agent#journal#chunking#profile#briefing#token-management
One-click install
npx skills add https://github.com/Lingtai-AI/lingtai --skill briefing-lingtai-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: briefing
Source: https://github.com/Lingtai-AI/lingtai/tree/main/tui/internal/secretary/assets/skills/briefing
Command: npx skills add https://github.com/Lingtai-AI/lingtai --skill briefing-lingtai-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill automates the generation and ongoing maintenance of per-project briefing content (journal.md) and a universal profile (profile.md) so AI agents stay context-aware across cycles and projects.

Core Features & Use Cases

  • Maintains universal profile and per-project journals, enabling agents to operate with up-to-date context.
  • Supports backfill processing of large history files by chunking and staged drafting, then synthesizes a complete journal on consolidation.
  • Enforces token quotas and a Git-based versioning workflow to ensure traceability and safety.

Quick Start

Initiate briefing by running the provided workflow to generate and consolidate per-project journals and the universal profile.

Frequently Asked Questions about briefing

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

FAQPage Schema
How do I automate project briefing generation to keep AI agents context-aware across cycles?▼

Automating project briefing generation involves maintaining a universal profile and per-project journals so AI agents operate with up-to-date context across cycles. This skill orchestrates observation, consolidation, and backfill processing to keep agents aligned.

How do I process large history files to generate project journals without exceeding token limits?▼

Processing large history files requires chunking and staged drafting before synthesizing a complete journal on consolidation. This approach enforces token quotas during backfill processing to ensure traceability and safety.

What is the best way to maintain a universal profile and per-project journals for AI agents?▼

The best way to maintain a universal profile and per-project journals is through a Git-based versioning workflow. This ensures traceability and safety while coordinating chunking, drafting, and consolidation using built-in scripts.

Can I backfill historical project data into a journal while respecting token quotas?▼

Yes, you can backfill historical project data by applying chunked handling and staged drafting. The system enforces token quotas during the observation and consolidation phases to synthesize a complete journal safely.

Does automated briefing generation work with Git-based versioning for traceability?▼

Yes, automated briefing generation works with a Git-based changelog to ensure traceability and safety. It coordinates chunking, drafting, and consolidation using built-in scripts while maintaining version control.

Why do AI agents lose context across multiple projects and how can briefing automation help?▼

AI agents lose context across multiple projects when project data is not consolidated into journals and a universal profile. Briefing automation synthesizes historical data across cycles to keep agents aligned and context-aware.

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