Provides detailed, step-by-step explanations and visualizations of computer science algorithms (especially sorting) and complexity analysis using plain text without LaTeX formatting.

ECNU-ICALK333

LLM & AI

Code Based Mcq Generation

Generates multiple-choice questions where the question presents the full code context with a missing segment and the answer options provide the missing code snippet.

ECNU-ICALK333

Bases de Datos SQL

Didactic Sql Explanation With Analogies

Explains technical concepts, specifically SQL and database topics, using real-life analogies and a concise, beginner-friendly tone with strict code formatting rules.

ECNU-ICALK333

Patrones de Arquitectura

Taboo Word Technical Explanation

Explain technical concepts, including mathematical and implementation details, without using specific forbidden terms (the 'taboo' words). This technique is used to demonstrate deep understanding of underlying mechanics rather than relying on standard nomenclature.

ECNU-ICALK333

Diseño

Code Based Mcq Generator

Generates Multiple Choice Questions where the question presents the full code context excluding the target segment, and the answer choices are code snippets.

ECNU-ICALK333

Challenge

Run a gauntlet challenge session with adaptive difficulty. Tests codebase understanding through multiple choice, code completion, trace exercises, and more.

athola261

Educación

Code Example Generator

Generate pedagogically effective code examples that activate understanding, not just demonstrate syntax. Use when creating code examples for educational content, tutorials, or documentation.

aiskillstore257

Académico

Conference Reviewer

This skill should be used when writing official conference-style reviews for research papers as if from a top-tier systems conference reviewer. Use when the author wants a realistic, formal peer review with scores, strengths, weaknesses, and detailed feedback following standard conference review formats.

majiayu000200

LLM & AI

Exercise Patterns

Structure for creating hands-on exercises in the Physical AI textbook.

majiayu000200

Documentos

Paper Reading Assistant

AI-assisted paper reading, PDF Q&A, and summarization workflows

wentorai199

Educación

Course

Interactive Claude Code learning course with progress tracking

delbaoliveira172

Educación

Lesson

Create a structured lesson on a Claude Code topic

delbaoliveira172

Educación

Erroneous Example Designer

Design deliberately flawed examples that develop error-detection skills and deepen understanding. Use when students make characteristic errors and need practice spotting mistakes.

GarethManning170

Educación

Metacognitive Monitoring Ai Contexts

Design metacognitive checkpoints that prevent AI-assisted learning from bypassing genuine understanding. Use when students use AI tools and may overestimate their own comprehension.

GarethManning170

Base de Conocimientos

Protocol D Debugging

Guides systematic debugging through Protocol D (READ, ISOLATE, DOCS, HYPOTHESIZE, VERIFY). Use when junior says "stuck", "not working", "broken", "bug", "error", "crashed", "failing", "can't figure out", or expresses frustration. Do NOT use for general questions.

DanielPodolsky157

Flujos de Trabajo Git

Error Handling Gate

Verifies error handling including empty catch detection, user-friendly messages, and logging. WARNING gate triggered during /own:done flow.

DanielPodolsky157

Creación de Contenido

Slideswrite Slides

Write lecture slides for a graduate-level ML course following academic formatting and pedagogical style

causify-ai144

Educación

X In 60 Minsformat Rules

Format a directory to follow the "Learn X in 60 Minutes" tutorial conventions described in website/docs/blog/posts/all.learn_X_in_60_minutes.how_to_guide.md

causify-ai144

Análisis de Datos

Meta Results Risk Of Bias

Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics. Use when the user wants to draft the risk of bias analysis text from provided data tables.

aipoch140

LLM & AI

Plotting Agent

Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER when the orchestrator delegates Step 2 or when the user asks to "generate the figures for my paper" or "render the plots from this experiment log".

Ar9av140

LLM & AI

Outline Agent

Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".

Ar9av140

Ingeniería de Datos

Paper Writing Bench

Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C. TRIGGER when the user asks to "build a benchmark case from this paper", "reverse-engineer raw materials", or "evaluate my pipeline against PaperWritingBench".

Ar9av140

Académico

Paper Autoraters

Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the user asks to "score this paper draft", "evaluate against the benchmark", "compare two papers", or "run the autoraters".

Ar9av140

Educación

Latex Posters

Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter. Use when a user needs poster-ready section copy, figure plans, captions, and package-specific layout decisions for conference or thesis posters.

aipoch140

Herramientas de Laboratorio

Labarchive Integration

Converts LabArchives notebook data, entry metadata, and authorized ELN exports into manuscript-ready academic writing outputs such as Methods sections, data-availability statements, reproducibility appendices, experiment timelines, and submission support notes. Optional bundled scripts can be used to collect or validate source notebook data before writing.

aipoch140

Ingeniería de Datos

Section Writing Agent (Step 4)

Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges everything into the template that already contains Intro + Related Work from Step 3. TRIGGER when the orchestrator delegates Step 4 or when the user asks to "write the methodology and experiments sections" or "fill in the rest of the paper".

Ar9av140

Académico

Industrial AI Research

Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation. Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.0", "manufacturing AI", "factory automation", "process optimization", or "survey draft" in industrial contexts.

bahayonghang133

Educación

Bmad Agent Code Coach

Personal coding coach and mentor. Use when the user asks to talk to their coding coach or requests code coaching.

bmad-code-org121

Educación

Leetcode Teacher

Interactive LeetCode-style teacher for technical interview preparation. Generates coding playgrounds with real product challenges, teaches patterns and techniques, supports Python/TypeScript/Kotlin/Swift, and provides progressive difficulty training for data structures and algorithms.

jamesrochabrun121

Gestión de Proyectos

Skills

Multi-stage rebuttal analysis skill for RebuttalStudio. Use when organizing reviewer comments into stage-specific conference workflows, including stage1 breakdown, stage2 refinement, stage4 multi-round follow-up, and stage5 final remarks generation.

runtsang118

Profesores universitarios de informática | Skills Pool