Awesome Slam
Architectural decision guide, algorithmic taxonomy, mathematical formulation, and engineering workflows for SLAM (Simultaneous Localization and Mapping), Visual Odometry (VO), Visual-Inertial Odometry (VIO), and LiDAR SLAM derived from the curated Awesome-SLAM collection and academic literature. Use when designing, selecting, implementing, or debugging SLAM systems, choosing between Monocular, Stereo, RGB-D, Visual-Inertial (ORB-SLAM3, VINS-Fusion, Basalt, SVO, DSO), or LiDAR pipelines (Cartographer, LOAM, LeGO-LOAM, LIO-SAM, FAST-LIO), configuring factor graph optimization (g2o, GTSAM, Ceres)
Install
npx skills add Eyokurt/awesome-slam-skill --skill awesome-slamgit clone --depth 1 https://github.com/Eyokurt/awesome-slam-skill.git /tmp/awesome-slam-skill
mkdir -p ~/.claude/skills
cp -r /tmp/awesome-slam-skill/. ~/.claude/skills/awesome-slamPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Awesome SLAM: Architecture, Optimization & System Design Architectural guide, algorithm decision matrix, mathematical foundations, and engineering workflows derived from the curated `SilenceOverflow/Awesome-SLAM` repository and peer-reviewed SLAM literature. --- ## 1. SLAM Modality Decision Matrix Select the optimal SLAM pipeline based on sensor payload, environmental constraints, compute budget, and accuracy requirements: | Sensor Modality | Primary Architectures | Compute Profile | Best Suited For | Critical Limitations & Failure Modes | | :--- | :--- | :--- | :--- | :--- | | **Monocular Vision** | **[ORB-SLAM3](references/visual-slam.md)**, **[DSO](references/visual-slam.md)**, **[SVO](references/visual-slam.md)** | Low to Medium (Embedded CPU) | Lightweight drones, micro-robotics, AR headsets | Scale ambiguity, metric drift, scale drift without prior baseline, initialization delay | | **Stereo Vision** | **[ORB-SLAM2/3](references/visual-slam.md)**, **[PL-SLAM](references/visual-slam.md)**, **[OV²SLAM](references/visual-slam.md)** | Medium (CPU / Multi-core) | Autonomous driving, industrial AGVs, outdoor robotics | Fixed baseline limits maximum metric depth range; feature dropout in low-texture areas |
Details
- Skill name
awesome-slam- Repository
- Eyokurt/awesome-slam-skill
- Repo updated
- 29 October 2026
FAQ
What does the Awesome Slam skill do?
Architectural decision guide, algorithmic taxonomy, mathematical formulation, and engineering workflows for SLAM (Simultaneous Localization and Mapping), Visual Odometry (VO), Visual-Inertial Odometry (VIO), and LiDAR SLAM derived from the curated Awesome-SLAM collection and academic literature. Use when designing, selecting, implementing, or debugging SLAM systems, choosing between Monocular, Stereo, RGB-D, Visual-Inertial (ORB-SLAM3, VINS-Fusion, Basalt, SVO, DSO), or LiDAR pipelines (Cartographer, LOAM, LeGO-LOAM, LIO-SAM, FAST-LIO), configuring factor graph optimization (g2o, GTSAM, Ceres)
How do I install the Awesome Slam skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add Eyokurt/awesome-slam-skill --skill awesome-slam. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Awesome Slam popular?
It lives in Eyokurt/awesome-slam-skill, which has 5 GitHub stars and 0 forks.
Related skills
Export Pharma Packaging Compliance
5dungnotnull/export-pharma-packaging-compliance-agent-skill
Export Pharmaceutical Packaging Compliance Advisor - Pharmaceutical Packaging Regulatory Compliance evidence-backed analysis harness. Use this skill when analyzing pharmaceutical packaging compliance, regulatory requirements, export packaging standards, anti-moisture packaging, child-resistant/tamper-evident packaging, serialization/traceability (DSCSA, FMD), GMP requirements (ISO 15378), stability testing (ICH Q1A), or any pharmaceutical packaging regulatory compliance assessment. This skill provides evidenced, risk-disclosed analysis with domain-expert methodology and academic research integ
Auto Paper Reading
5berglingtim/auto_paper_reading
当用户要求"讲解 / 精读 / 解读 / 复盘一篇论文"，或提供 .pdf/.docx/.doc 论文文件， 或只给出论文题目希望自动搜索下载，并输出图文结合的讲解 Word 文档时使用。 工作流：搜索下载论文 → 解析裁剪关键图 → 视觉分析选图 → 查找 baseline 与领域问题 → 撰写摘要、符号表与图文结合的五部分讲解 → 生成 docx → 校验排版 → 对话中讲解。 触发词：讲论文、读论文、论文讲解、paper reading、帮我读懂这篇论文 等。 Also use for reading or explaining a research paper and producing an illustrated Word report in Chinese or English, from a title or a PDF/DOCX/DOC file.
Med Mentor
5Premansh12/med-mentor
Teach medical personnel (physicians, residents, medical students, nurses, PAs, paramedics) clinical knowledge and skills within this workspace, over multiple sessions, via short interactive HTML lessons. Use this whenever the user wants to study for board exams (USMLE, COMLEX, NCLEX, specialty boards), prepare for CME, build clinical reasoning skills (differentials, case work-ups), drill pharmacology/dosing, rehearse OSCE or procedural skills, or review any medical topic in a structured, spaced way — even if they don't say the word "teach" explicitly (e.g. "quiz me on antiarrhythmics", "help m
Six Layer Product Research
5smith-horn/six-layer-product-research
Execute Teresa Torres' 6-Layer Problem Definition Framework for rigorous product research — from customer voice to scoped problem statement
Paper Evidence Framing
5zlsjtj/PaperCraft
PaperCraft 用于研究论文的创新定位、工作量呈现、图文精修和透明审阅。按已有证据交付实际修订稿、黄色审阅标记与中文诊断，也支持仅审阅、局部修改、续改和实验未完成的稿件。
Create Research Experiment Repo
5Shiba-hua/create-research-experiment-repo
为委托实验执行者开展工作的科研负责人，对齐报告、图表、目录和审批职责，获批后构建可追溯的实验管理仓库。适用于 Coding Agent、人类实验员或实验设备团队；不代替具体学科的实验设计与安全规程。
Browse the most popular Claude skills, all research & science skills, or write your own with the skills generator.