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SkillsMP a collecté 29 skills depuis UCL-ERL/skills. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 29 skills collectés sur 29.
Audits benchmark design, baselines, metrics, ablations, statistical reporting, leakage risk, and claim-result alignment for Robotics and AI papers. Use when the user asks whether experiments are convincing, fair, reproducible, or sufficient for paper claims.
Langue du texte source : anglais
Builds a portable, source-grounded Markdown dossier from a remote research project, including method state, experiment design, result ledgers, figures, failures, provenance, and paper-ready claim candidates. Use on the machine that contains the code and…
Langue du texte source : anglais
Audits whether a Robotics or AI manuscript accurately describes its implementation, configs, data pipeline, training and inference behavior, evaluation code, defaults, and generated tables or figures. Use when reconciling a paper with a codebase, preparing an…
Langue du texte source : anglais
Routes Robotics & AI coding work through design, prototyping, debugging, testing, review, and reproducibility checks. Use when the user asks to build, debug, test, review, or restructure Python, C++, ROS, simulation, ML, or experiment code.
Langue du texte source : anglais
Routes Robotics & AI conference paper writing for ICRA, RSS, CoRL, ICML, ICLR, and NeurIPS style submissions. Use when the user asks to outline, draft, revise, audit, rebut, package, or prepare a research paper for Robotics or AI venues.
Langue du texte source : anglais
Routes Robotics & AI research work across search, reading, evidence mapping, ideation, paper writing, figure planning, and audits. Use when the user asks to enter a field, build a literature base, brainstorm a project, write a survey or paper, or coordinate…
Langue du texte source : anglais
Interrogates a Robotics or AI research, paper, experiment, survey, or engineering plan one decision at a time until its objective, evidence, scope, evaluation, risks, and next artifact are explicit. Use when the user asks to be grilled, wants a plan…
Langue du texte source : anglais
Builds timed, source-grounded research talks and validated slide decks from papers, surveys, experiment dossiers, or project artifacts. Use when preparing a lab meeting, journal club, conference spotlight or oral, invited talk, project update, thesis…
Langue du texte source : anglais
Performs harsh but evidence-grounded review of Robotics & AI papers across factual accuracy, logic, novelty, experiments, citations, figures, writing, and reviewer risk. Use when the user asks for ruthless proofreading, red-team review, paper critique, or…
Langue du texte source : anglais
Audits whether citations are real, traceable, and actually support manuscript claims. Use when the user asks to verify references, check citation truthfulness, map claims to papers, detect hallucinated citations, or audit related work.
Langue du texte source : anglais
Audits limitations, assumptions, failure cases, negative results, boundary conditions, and ethical or deployment risks in Robotics and AI papers. Use when the user needs a limitations section, failure analysis, responsible research check, or pre-review…
Langue du texte source : anglais
Audits manuscript coherence, section flow, paragraph logic, repetition, contradictions, and claim threading. Use when the user asks whether a paper draft, section, abstract, introduction, related work, or conclusion is logically connected, non-redundant, and…
Langue du texte source : anglais
Turns an experiment dossier, verified literature, and venue constraints into a coherent source-grounded conference paper story and Markdown or LaTeX draft. Use when a local writing environment has research results but needs a defensible narrative,…
Langue du texte source : anglais
Edits academic paper prose for grammar, clarity, concision, scientific tone, reviewer readability, and removal of generic AI-style writing patterns while preserving technical claims. Use after claims, citations, and structure are checked, or when the user…
Langue du texte source : anglais
Builds a source-grounded Robotics or AI survey from verified reading cards, search logs, evidence matrices, and bibliography records. Use when defining a survey thesis or taxonomy, synthesizing literature across method families, designing section logic and…
Langue du texte source : anglais
Audits whether research results are traceable from paper claims back to configs, code versions, data versions, seeds, logs, hardware, and generated artifacts. Use when checking reproducibility, result provenance, experiment tracking, or paper appendix…
Langue du texte source : anglais
Onboards a new Robotics or AI research area, project folder, or lab knowledge base into a structured source inventory, concept map, artifact map, and next-action plan. Use when the user starts a new area, inherits notes/code/papers, or needs a reusable…
Langue du texte source : anglais
Builds or revises paper abstracts and introductions from verified problem, gap, method, evidence, contribution, and limitation material. Use when the user needs a conference-paper abstract, introduction, contribution paragraph, or opening narrative without…
Langue du texte source : anglais
Checks LaTeX paper source packages for venue formatting, anonymity, buildability, references, figures, arXiv readiness, and submission hygiene. Use before conference submission, arXiv upload, camera-ready, or when LaTeX build/source problems may block a paper.
Langue du texte source : anglais
Positions a paper against prior work by building source-grounded clusters, contribution boundaries, novelty claims, and comparison language. Use when writing related work, introduction positioning, survey paragraphs, or responses about novelty and…
Langue du texte source : anglais
Builds evidence-grounded, point-by-point reviewer responses and rebuttal plans for Robotics and AI papers. Use when the user has reviews, meta-review, AC comments, or rebuttal constraints and needs a concise, non-defensive response strategy.
Langue du texte source : anglais
Applies Robotics & AI code quality checks for Python, C++, ROS, simulation, ML experiments, and reproducibility. Use when implementing, debugging, testing, or reviewing Robotics and AI research code.
Langue du texte source : anglais
Plans, prompts, and audits scientific figures, diagrams, and GPT Image outputs for Robotics & AI papers. Use when the user asks where figures are needed, what figure to draw, how to prompt image generation, or whether a returned figure is scientifically valid.
Langue du texte source : anglais
Scores and refines Robotics & AI project ideas for novelty, feasibility, baselines, evaluation, risk, and publishability. Use when brainstorming, ranking, stress-testing, or improving research ideas with or without the user.
Langue du texte source : anglais
Builds comparison matrices, taxonomies, and gap maps from paper cards, projects, datasets, or benchmark notes. Use when the user asks to synthesize a literature base, write a survey, compare methods, or find research gaps.
Langue du texte source : anglais
Turns one Robotics & AI paper into a structured, source-grounded reading card. Use when the user asks to read, summarize, compare, or extract claims, methods, experiments, limitations, and reusable ideas from a paper.
Langue du texte source : anglais
Builds reproducible Robotics & AI search logs across papers, projects, datasets, benchmarks, and code. Use when the user asks for literature search, project search, survey source collection, related work discovery, or field onboarding.
Langue du texte source : anglais
Plans Robotics & AI conference paper structure for ICRA, RSS, CoRL, ICML, ICLR, and NeurIPS style submissions. Use when the user asks for an outline, paper skeleton, section plan, contribution framing, or venue-aware writing strategy.
Langue du texte source : anglais
Use this skill when an agent needs to perform one concrete, reusable workflow.
Langue du texte source : anglais