Snapshot before the quality program (relevance gates, tiered mapping, QA linter). v1 is the immutable before/after reference; evidence crawl was at ~175/3039 occupations when tagged. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq
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External AI agent skills — robotics-engineer
Proven, publicly available AI agent skills mapped to this occupation. Nothing is copied from the sources: every entry is a name, a one-line summary and a link to the upstream skill package. Each section names its source repository, commit, license and retrieval date.
Matched deterministically (ISCO group + title/competence keywords) by
pipeline/p5_enrich_ai_skills.py on 2026-07-07.
Source: anthropics/skills
- Repository: https://github.com/anthropics/skills (commit
9d2f1ae, retrieved 2026-07-07) - License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | What it adds | Upstream |
|---|---|---|
docx |
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting … | source |
pdf |
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | source |
Source: wshobson/agents
- Repository: https://github.com/wshobson/agents (commit
6fd3247, retrieved 2026-07-07) - License: MIT (c) Seth Hobson
| Skill | What it adds | Upstream |
|---|---|---|
arm-cortex-expert (agent) |
Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD). Decades of experience writing reliable, optimized, and maintainable embedded code with deep … | source |
go-concurrency-patterns |
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions. | source |
memory-safety-patterns |
Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs. | source |
rust-async-patterns |
Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code. | source |
Source: LambdaTest/agent-skills
- Repository: https://github.com/LambdaTest/agent-skills (commit
54824d6, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
robot-framework-skill |
Generates Robot Framework tests in keyword-driven syntax with Python. Supports SeleniumLibrary, RequestsLibrary, and custom keywords. Use when user mentions "Robot Framework", "*** Test Cases ***", "SeleniumLibrary", ".robot file". … | source |
Source: coreyhaines31/marketingskills
- Repository: https://github.com/coreyhaines31/marketingskills (commit
33218ff, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
marketing-loops |
When the user wants to set up a recurring, self-running marketing workflow — a repeatable loop an AI agent runs on a cadence (weekly, daily, on a trigger) rather than a one-off task. Also use when the user mentions 'marketing loop,' … | source |
Source: czlonkowski/n8n-skills
- Repository: https://github.com/czlonkowski/n8n-skills (commit
9ea3aa5, retrieved 2026-07-07) - License: MIT
| Skill | What it adds | Upstream |
|---|---|---|
n8n-self-hosting |
Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on … | source |
Source: NVIDIA/skills
- Repository: https://github.com/NVIDIA/skills (commit
153b14b, retrieved 2026-07-07) - License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)
| Skill | What it adds | Upstream |
|---|---|---|
cudaq-guide |
CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications. | source |
omniverse-cad-to-simready |
Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady … | source |
omniverse-realtime-viewer |
Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents. | source |
omniverse-usd-performance-tuning |
Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners. | source |
physical-ai-infrastructure-setup-and-resilient-scaling |
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO … | source |
physical-ai-neural-reconstruction |
Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup. | source |
tao-train-pointpillars |
PointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via a pillar-based representation, then applies 2D detection — used in autonomous driving and robotics. Use when training, evaluating, … | source |