Updated 1mo ago
by UCL-ERL
skills
An open-source research operating system for Robotics & AI, developed and maintained by ERL Lab.
49 GitHub stars (49)
+6 in 16 days
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- 28 skills (28 skills found in its SKILL.md files)
- 7 forks (7 forks)
- 1mo ago last update (Last updated 1mo ago)
Install
Skills CLI
npx skills add UCL-ERL/skills
Asks which skills and agents to install. Just one: npx skills add UCL-ERL/skills --skill robotics-ai-coding-flow — add -g for every project.
Claude Code
git clone https://github.com/UCL-ERL/skillscp -r "skills/skills/engineering/robotics-ai-coding-flow" ~/.claude/skills/
Copies the robotics-ai-coding-flow skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add UCL-ERL/skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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robotics-ai-coding-flow
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.
skills/engineering/robotics-ai-coding-flow/SKILL.md on GitHub (opens in a new tab) -
benchmark-audit
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.
skills/evaluation/benchmark-audit/SKILL.md on GitHub (opens in a new tab) -
experiment-dossier-builder
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 experiment outputs when preparing a handoff for local paper writing, collaborator review, or project archiving.
skills/evaluation/experiment-dossier-builder/SKILL.md on GitHub (opens in a new tab) -
experiment-provenance-auditor
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 readiness.
skills/evaluation/experiment-provenance-auditor/SKILL.md on GitHub (opens in a new tab) -
paper-code-consistency-auditor
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 artifact release, checking implementation drift, or verifying that equations, algorithms, hyperparameters, and system claims match the rele…
skills/evaluation/paper-code-consistency-auditor/SKILL.md on GitHub (opens in a new tab) -
scientific-figure-director
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.
skills/figures/scientific-figure-director/SKILL.md on GitHub (opens in a new tab) -
rai-coding-flow
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.
skills/flows/rai-coding-flow/SKILL.md on GitHub (opens in a new tab) -
rai-paper-flow
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.
skills/flows/rai-paper-flow/SKILL.md on GitHub (opens in a new tab) -
rai-research-flow
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 multiple research skills.
skills/flows/rai-research-flow/SKILL.md on GitHub (opens in a new tab) -
research-idea-rubric
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.
skills/ideation/research-idea-rubric/SKILL.md on GitHub (opens in a new tab) -
research-plan-grill
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 stress-tested through questions, or has an ambiguous design that should be resolved before implementation or writing.
skills/ideation/research-plan-grill/SKILL.md on GitHub (opens in a new tab) -
slide-talk-builder
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 presentation, or paper-to-slides conversion with speaker notes, visual assets, and delivery timing.
skills/presentation/slide-talk-builder/SKILL.md on GitHub (opens in a new tab) -
evidence-matrix-builder
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.
skills/research/evidence-matrix-builder/SKILL.md on GitHub (opens in a new tab) -
knowledge-base-onboarding
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 research memory structure.
skills/research/knowledge-base-onboarding/SKILL.md on GitHub (opens in a new tab) -
paper-reading-card
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.
skills/research/paper-reading-card/SKILL.md on GitHub (opens in a new tab) -
paper-search-protocol
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.
skills/research/paper-search-protocol/SKILL.md on GitHub (opens in a new tab) -
paper-red-team-review
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 pre-submission audit.
skills/review/paper-red-team-review/SKILL.md on GitHub (opens in a new tab) -
abstract-introduction-builder
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 overstating evidence.
skills/writing/abstract-introduction-builder/SKILL.md on GitHub (opens in a new tab) -
citation-integrity-auditor
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.
skills/writing/citation-integrity-auditor/SKILL.md on GitHub (opens in a new tab) -
latex-submission-checker
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.
skills/writing/latex-submission-checker/SKILL.md on GitHub (opens in a new tab) -
limitations-failure-case-auditor
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 overclaim audit.
skills/writing/limitations-failure-case-auditor/SKILL.md on GitHub (opens in a new tab) -
manuscript-structure-auditor
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 easy for reviewers to follow.
skills/writing/manuscript-structure-auditor/SKILL.md on GitHub (opens in a new tab) -
paper-draft-builder
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, contribution structure, section drafting, or a first full paper draft without inventing evidence or citations.
skills/writing/paper-draft-builder/SKILL.md on GitHub (opens in a new tab) -
related-work-positioning
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 differentiation.
skills/writing/related-work-positioning/SKILL.md on GitHub (opens in a new tab) -
reviewer-response-builder
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.
skills/writing/reviewer-response-builder/SKILL.md on GitHub (opens in a new tab) -
scientific-writing-editor
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 asks for grammar editing, human-sounding scientific prose, concise rewriting, or rigorous paper polishing.
skills/writing/scientific-writing-editor/SKILL.md on GitHub (opens in a new tab) -
survey-synthesis-builder
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 comparison artifacts, revising an existing survey, or drafting survey prose without forcing an empirical-paper structure.
skills/writing/survey-synthesis-builder/SKILL.md on GitHub (opens in a new tab) -
venue-paper-outline
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.
skills/writing/venue-paper-outline/SKILL.md on GitHub (opens in a new tab)
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.