Timeframe Research

What This Skill Does

This skill turns a date-bounded research request into a deterministic execution plan. It is designed for prompts such as:

• Make a dossier about llama.cpp in 2023-2026 and store it in <file>.
• Research notable local AI milestones from 2024 and write them month by month.
• Build a timeline of open-weight multimodal models from 2025-01 through 2026-03.

The core pattern is fixed:

1. Normalize the requested timeframe.
2. Scaffold the target file with year and month headings.
3. Launch one year orchestrator per year in scope.
4. Each year orchestrator launches one month researcher per month in scope.
5. Each month researcher writes exactly one condensed paragraph plus sources under the matching heading.
6. Run a final quality pass for date accuracy, completeness, and structure.