SuperAPI AI Directory

Skills

Find an Agent Skill for your task. Read the guide and copy the install command.

Updated 11-11 00:16

Agents & models

26,093 results

skill-incubator

Incubate or improve an Agent skill from theory, existing methods, and practice; design the core methodology and an executable workflow; and revise candidates and the incubation method through layered evaluation, isolated experiments, and feedback. Use for skill creation where the method still needs development or its effectiveness still needs verification; packaging an established method, ordinary instruction editing, full skill architecture, and domain task execution each have their corresponding methods.

Agents & models1 installs

light-figure-planning

Based on the paper's content, plan which figures and tables should be made, where they should be inserted, and what role each plays. Use when the user needs paper figure and table planning. Figures and tables are not limited to statistical charts; they also include real effect figures of datasets, model output examples, case demonstrations, interpretability visualizations, etc. Plan framework diagrams, technical roadmap diagrams, dataset schematic diagrams, model architecture diagrams, algorithm flowcharts, result comparison/ablation/sensitivity figures, real effect figures, statistical tables/comparison tables, etc., and judge by reviewer standards which are must-do, …

Agents & models1 installs

light-result-analysis

Conduct a detailed, professional, and in-depth analysis of the executed results, experimental data, model outputs, and chart results. Use this when the user's experiment has finished running, needs the data interpreted, or asks "what do these results mean." Do not merely describe whether they are good or bad; instead explain why, which results prove the method is effective, which expose problems, which anomalies need investigation, which patterns can become paper highlights, and which require additional experiments.

Agents & models1 installs