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Grok Bot+18 agentsState of The Art
Turn a pile of research papers into a coherent State of the Art narrative with gaps and future directions.
$7
state-of-the-art
Example session with this skill installed
Use state-of-the-art to synthesize the papers I collected on transformer-based time-series forecasting into a State of the Art section.
- Read your context and instructions
- Compiled the state-of-the-art
Summary
Synthesized 18 papers (2019–2025) into a narrative State of the Art across three generations of time-series transformers, highlighting the field's shift from channel-mixing to decomposition-first architectures.
State of the Art — Transformer Time-Series Forecasting
Transformer-based forecasting evolved in three waves:
First wave—direct adaptation (2019–2021)
Early work applied vanilla transformers to sequences but struggled with sparse attention and distribution shift.
- Informer (2021) addressed the quadratic attention bottleneck with ProbSparse attention;
- Autoformer* (2021) introduced seasonal-trend decomposition.
Second wave—decomposition and patching (2022–2023).
PatchTST (2023) showed that tokenizing into patches beats point-wise tokens;
DLinear (2023) controversially argued a simple linear layer often outperforms transformers, forcing the field to justify complexity.
Third wave—foundation models (2024–).
TimesFM (Google) and Chronos (Amazon) reframed forecasting as pretraining at scale, trading per-dataset training for zero-shot transfer.
Strengths
- Strong long-horizon accuracy on benchmark suites (ETT, Electricity, Weather)
- Patching and decomposition are now de facto standard components.
Weaknesses & gaps
| Gap | Evidence | Opportunity |
|---|---|---|
| Probabilistic / uncertainty output | Most models output point forecasts | High |
| Small-data, high-noise domains | Benchmarks favor clean, periodic series | High |
| Interpretability | Attention maps are rarely validated | Medium |
Next steps
- Run
research-gapon the small-data + probabilistic gap to define a contribution. - Run
novelty-analysisbefore committing to a direction.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Have a pile of papers but no narrative? This skill turns a collection of research papers into a polished State of the Art section.
What it does
- Analyzes current approaches and identifies strengths and weaknesses
- Traces how the research evolved over time
- Detects research gaps and proposes future directions
Important
It does NOT search for new papers; it works with the collection you already have (e.g., from literature-discovery). If you have a list of papers in a folder repository, it can make an overview of all of them and create the state-of-the-art from them. Identifying research gaps and proposing future directions
Why buy it
It turns "a list of summaries" into an argument that positions your work. Perfect for the background or related-work section of a paper, thesis, or research proposal. Or even it can be used for a literature review paper about a specific topic.
Use cases
- Writing the background or related work section for a peer-reviewed journal submission.
- Preparing the literature review chapter for a PhD thesis or master's dissertation.
- Developing a research proposal by identifying under-explored gaps in current literature.
- Onboarding a new research team to the current SOTA and technical landscape of a sub-field.
Known limitations
Does not search for new papers. Requires a pre-existing collection of papers, abstracts, or clusters as input.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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- Passed all security checks, Safe to install