timeframe-researchlisted

# 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. If literal nested subagent launching is unavailable in the current tool environment, the agent must preserve the same logic by running isolated month-bounded research passes inside each year pass and explicitly noting that fallback. ## When To Use This Skill Use this skill when the user asks for: - A historical dossier, timeline, chronology, or release history - Research bounded by specific years, quarters, or months - A month-by-month or year-by-year file written directly into the workspace - Time-sensitive ecosystem research where exact release dates matter Do not use this skill for: - Timeless concept explainers with no date-b