upsonic
Runs research-paper experiments against a baseline: analyzes the existing implementation, benchmarks metrics, builds a new Jupyter notebook from the paper's method, and writes comparison reports as JSON.
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@upsonicPlugins
1@upsonicSkills
10analyze_current
Read and understand the current baseline implementation. Extract all relevant information about the existing approach without…
@upsonicbenchmark
Define the comparison metrics and extract baseline values from the current implementation. Record them as a structured JSON entry…
@upsoniccode-review
Perform structured code reviews with actionable feedback. Use when a user asks to review code, check code quality, find bugs,…
@upsonicdata-analysis
Analyze, explore, clean, and visualize datasets with statistical rigor. Use when user asks to analyze data, find patterns,…
@upsonicevaluate
Compare baseline and new implementation results. Produce the machine-readable final report `result.json`, update…
@upsonicexperiment_management
Set up and manage the experiment folder structure. This is Phase 0 — it runs before any analysis begins. All bookkeeping files…
@upsonicimplement
Create a new Jupyter notebook implementing the method from the research paper, using the same data as the baseline. Record…
@upsonicprogress
Maintain a **machine-readable** progress file so dashboards, CLIs, and notebooks can poll the experiment's state at any time. The…
@upsonicresearch
Read the materialized research source and extract actionable information needed to implement the proposed method. Record the…
@upsonicsummarization
Summarize documents, articles, conversations, code, and technical content into concise, accurate summaries. Use when user asks to…
@upsonicAgent
1unittest-generator
AgentUse this agent when you need to create unit tests for your code in unittest.TestCase format, organized in a tests folder with…
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