vibey-skills
ListedAgent Skills for vibe engineering — 644 evidence-grounded practitioner references as a Claude Code plugin marketplace
Bundles
Everything this plugin ships — skills, agents, commands, hooks, and MCP servers it bundles.
Skills (66)
aero-aerodynamics-airfoils-and-compressible-flow
Use when reasoning about the air itself: the governing quantities (Reynolds and Mach number, dynamic pressure, the coefficients), how lift actually works and why the common explanations are wrong, airfoils and wing planform including aspect ratio, sweep and stall behaviour, the drag breakdown into induced, parasite and wave components, and compressible and supersonic flow with shocks, expansion and the transonic drag rise. Includes the router for the whole aerospace-engineering reference.
aero-drones-launch-vehicles-flight-test-and-design
Use when working on a specific vehicle class or taking a design through to approval: drones and UAS with multirotor dynamics, configurations and hazards and the regulatory position, launch vehicles from an atmospheric-flight perspective, flight test and certification including the test process and the certification bases, and the aircraft design process from requirements through sizing iterations.
aero-performance-stability-and-propulsion
Use when sizing or flying the aircraft: performance including the Breguet range equation, climb, turn and field-length constraints and the drag polar; static and dynamic stability, the control axes, trim and the handling-qualities modes; and air-breathing propulsion covering the engine cycles, thrust and specific fuel consumption, and propeller and turbofan behaviour.
aero-reference
Use when correcting an aerodynamics or flight misconception, checking what moved in BVLOS drone regulation and eVTOL certification (verified August 2026), looking up a speed, load factor, coefficient or performance number, finding the canon, or needing a picker and a design review checklist. Companion to the other aerospace-engineering skills.
aero-structures-aeroelasticity-and-avionics
Use when the airframe and its systems are the problem: structures and materials including load paths, the V-n diagram, fatigue, damage tolerance and composites; aeroelasticity covering divergence, control reversal and flutter and why it is a hard constraint rather than a refinement; and flight controls and avionics including fly-by-wire, redundancy and the system architecture.
delivery-velocity
Use when trying to ship software faster, improve team throughput, reduce cycle time, plan MVPs, prioritize features using WSJF, or implement fixed-time/variable-scope development. Triggers on delivery speed, velocity, throughput, MVP scoping, or any question about shipping faster. Also triggers on mentions of cycle time, batch size, WIP limits, Little's Law, CHAOS Report, decision latency, or contract structure for software projects.
engineering-metrics
Use when measuring engineering team performance, setting up DORA metrics, using the SPACE framework, analyzing deployment frequency, lead time, change failure rate, MTTR, or presenting engineering productivity to leadership. Triggers on engineering metrics, team performance, productivity measurement, DORA, SPACE, OKRs for engineering, cycle time analysis, or any question about how to measure software teams without causing harm.
security-first-agile
Use when planning sprints, running retrospectives, setting up security champions programs, conducting threat modeling in Agile, building Scrum processes for security-focused teams, or working with OWASP SAMM, STRIDE, DORA metrics, or misuse stories. Essential for any security-meets-Agile workflow. Triggers on sprint planning, retrospectives, Definition of Done, security backlog, threat modeling, security champions, blameless postmortems, psychological safety, or any question about Scrum process for engineering teams.
ai-ml-landscape
Comprehensive practitioner reference for the 2025–2026 AI/ML landscape covering frontier model selection and routing, open-weight vs hosted API trade-offs, reasoning models and test-time compute, RAG and agent production patterns, classical ML for tabular data, deep learning foundations (transformers, attention, MoE, SSMs), LLM training and post-training (DPO/GRPO/LoRA/QLoRA), inference serving (vLLM/SGLang), evaluation benchmark skepticism, safety/alignment, EU AI Act governance, and hardware selection. Use when advising on model selection, AI architecture decisions, LLM deployment, fine-tuning strategy, benchmark interpretation, or AI governance compliance.
data-engineering
Production data engineering reference covering ELT/ETL patterns, dbt project structure, orchestration (Airflow/Dagster/Prefect), Python data stack (pandas/Polars/DuckDB/Spark), cloud warehouses (Snowflake/BigQuery/Azure Fabric), lakehouse formats (Iceberg/Delta/Hudi), CDC with Debezium, SCD2, data quality, feature stores, and ML productionization with MLflow. Use when answering questions about data pipelines, SQL optimization, warehouse cost control, Python data tools, gradient boosting, A/B testing, or modern data stack architecture.
rag-and-agents
Production reference for RAG (Retrieval-Augmented Generation) and AI agent development covering document parsing, chunking strategies (parent-child, contextual retrieval), embedding models, vector databases, hybrid search with reranking, GraphRAG, RAGAS evaluation, agent frameworks (LangGraph, CrewAI, Microsoft Agent Framework, Foundry Agent Service), MCP, multi-agent patterns, computer use, and Azure-native RAG (Azure AI Search, Foundry IQ). Use when designing or debugging RAG pipelines, choosing vector databases, building agent systems, evaluating retrieval quality, or architecting Azure AI Search solutions.
ai-chatbot-fundamentals
Comprehensive reference for AI and chatbot fundamentals aimed at business decision-makers. Covers the AI taxonomy (Narrow AI vs AGI vs ASI), the ML/deep learning/transformer hierarchy, how datasets and training work, prompt engineering techniques, NLP mechanics and the full chatbot architecture pipeline, training data ingredients and the chef framework, business value statistics across customer service / sales / operations, and the 80/20 human-automation boundary. Use this skill when explaining what AI actually is, evaluating chatbot deployments, understanding why chatbot performance varies, advising on build vs. buy decisions, or translating AI technical concepts into business terms.
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chatbot-build-and-deploy
Comprehensive reference for building and deploying production AI chatbots: purpose definition, deployment channels, four-layer architecture, data foundation, integration patterns (API/CRM/database), cost ranges ($2K–$1M+), hallucination causes and RAG mitigation (up to 70% reduction), three-layer guardrail framework, GDPR/HIPAA/CCPA compliance, access controls, five-category accuracy evaluation, and the five-phase discovery-to-production build process with case studies and benchmarks.
chatbot-business-value
Reference guide for AI chatbot business value, ROI, and organizational strategy. Covers industry case studies (Amtrak $1M savings, Sprinklr 210% ROI, KLM 1.7M weekly messages, Bradesco 95% accuracy), cost-vs-revenue framing, e-commerce personalization, upsell and lead generation patterns, four pillars of chatbot readiness, the 12–24 month payback window, investment decision frameworks, the five-phase discovery-to-deployment process, and five core findings on what actually drives chatbot performance. Use when advising on chatbot ROI justification, readiness assessment, investment sizing, or organizational goal-setting.
rag-architecture-business
Business decision-maker reference for Retrieval-Augmented Generation (RAG): what it is, why standard LLMs fail in production, how RAG solves the static AI problem, how vector databases and embeddings work in plain terms, hallucination reduction evidence (up to 70%), real-world accuracy gains by industry, the full RAG pipeline from indexing through generation, build-vs-buy and cost guidance ($2K–$1M+), when RAG is the right choice vs alternatives, and the nine decisions that determine chatbot performance before a line of code is written. Use when advising on AI chatbot strategy, evaluating RAG vs fine-tuning, scoping a custom chatbot build, or explaining RAG architecture to non-technical stakeholders.
algo-core-algorithms
Use when implementing or choosing a core algorithm: sorting as libraries actually implement it (introsort, Timsort, pdqsort, radix) and how to choose, searching and indexing, graph algorithms (traversal, shortest paths, topological sort, flow, union-find), string and text algorithms (substring search, edit distance, suffix structures), and dynamic programming, greedy, divide and conquer, and amortized analysis.
algo-data-structures
Use when picking or debugging a concrete data structure: arrays and sequences and their memory layout, hash tables (collision resolution, open addressing and modern probing, load factor, iteration order, hash flooding, the 2025 theory result), trees and ordered structures (balanced in-memory trees, B-trees and the B-tree/LSM storage divide, tries and specialized trees), and heaps and priority queues.
algo-foundations-and-machine-model
Use when choosing an algorithm or data structure, or explaining why measured performance disagrees with the Big-O analysis: how to pick a structure, asymptotic notation and its limits, and the machine you are actually programming — the memory hierarchy and cache lines, branch prediction and mispredicts, allocation, pointer indirection and SIMD. Includes the router for the whole algorithms-deep-dive reference.
algo-probabilistic-concurrency-and-measurement
Use when working with approximate or concurrent structures, or when measuring performance: Bloom filters, HyperLogLog, count-min sketch and streaming structures, benchmarking and profiling discipline, vector and similarity search (HNSW, IVF, approximate nearest neighbour recall), and concurrent data structures — locks, lock-free and wait-free designs, memory ordering, and the ABA problem.
algo-reference
Use when checking an algorithm or data-structure anti-pattern, weighing a contested question, confirming whether a claim is still current (snapshot verified August 2026), finding the books and sources, or needing the structure selection table, the latency numbers worth keeping in your head, and the checklist to run before optimizing. Companion to the other algorithms-deep-dive skills.
arm-aarch64-exception-levels-memory-model-and-mmu
Use for the core architecture: AArch64 register and instruction design and how it differs from AArch32, the instruction set characteristics that matter to compilers and hand-written assembly, exception levels EL0 to EL3 and the privilege model, the weak memory model and the barriers and acquire-release semantics it forces, and the MMU with translation regimes, page table formats and TLB behaviour.
arm-cortex-m-toolchain-porting-and-performance
Use when actually building or moving software onto ARM: Cortex-M and the embedded profile with its interrupt model and memory protection, the toolchain and ABI including calling conventions and the AAPCS, porting from x86 and the memory-ordering, intrinsics and undefined-behaviour traps that bite, performance analysis with PMU counters and the ARM-specific pitfalls, and the competitive landscape against x86 and RISC-V.
arm-reference
Use when correcting an ARM misconception, looking up a register, exception level, cache, extension or performance figure, finding the sources, or needing a quick-reference picker — plus the current state of Arm's business model and its actual market position. Companion to the other ARM skills.
arm-system-architecture-boot-and-virtualization
Use for the system level around the core: big.LITTLE and DynamIQ heterogeneous topologies and their scheduling consequences, interrupts and timers with the GIC generations, interconnect and the AMBA protocol family with coherency, boot and firmware on ARM including the trusted firmware stages and how it differs from x86, and virtualization with stage-2 translation and the hypervisor exception level.
arm-vectors-atomics-numerics-and-security-architecture
Use for the extensions and the security architecture: the vector extensions NEON, SVE, SVE2 and SME and the vector-length-agnostic model, atomics and synchronization including the large system extensions, floating point and numerics, TrustZone and secure world separation, pointer authentication, branch target identification and memory tagging, and Confidential Compute Architecture with realms.
arm-what-arm-is-licensing-families-and-isa-generations
Use when orienting on ARM or reading an ARM spec sheet: what the word ARM actually names across the company, the architecture and the cores, the licensing model and why it explains the ecosystem's shape, the Cortex-A, Cortex-R and Cortex-M product families and Neoverse, and the ISA generations from ARMv7 through ARMv9. Includes the router for the whole ARM reference.
art-aesthetics-and-philosophy-of-art
Use when the question is philosophical rather than formal: the questions aesthetics actually asks, beauty and the sublime, taste and judgement and whether aesthetic disagreement can be resolved, the competing theories of art (mimetic, expressive, formalist, institutional, historical), the definition problem and why it has resisted solution, and art and ethics including whether moral defects in a work count as aesthetic ones.
art-claims-elements-colour-and-composition
Use when analyzing a work formally or checking what kind of claim is being made about it: the distinction between descriptive, evaluative and interpretive claims and why conflating them produces bad arguments, the formal elements, value and tonal structure, colour including the perceptual and pigment models, composition, pictorial space and the perspective systems, and medium and materiality. Includes the router for the whole art-theory-fundamentals reference.
art-history-modernism-and-the-canon
Use when placing a work or movement historically: a compact skeleton of Western art history as an orientation rather than a survey, the arc from modernism through the avant-gardes to contemporary practice and what each rupture was reacting against, and the canon problem — how the canon was formed, whose work it excluded, and what the serious responses to that have been.
art-interpretation-criticism-and-the-art-world
Use when interpreting a work or navigating the institutions around it: iconography and iconology, semiotics applied to images, the critical lenses (formalist, Marxist, feminist, postcolonial, psychoanalytic) and what each is good at, intention and the author including the intentional fallacy debate, a practical method for actually looking at a work, and the art world and market — galleries, institutions, provenance and price formation.
art-reference
Use when checking what is live in the field (AI authorship and copyright, and an art market whose recovery mostly is not one, verified August 2026), correcting an art-theory misconception, finding the books, or needing a picker and a looking checklist. Companion to the other art-theory-fundamentals skills.
assembly-fundamentals-and-isas
Use when deciding whether to write assembly at all, learning or comparing instruction sets, or reasoning about what the machine actually does beneath the ISA. Covers the machine model (registers, addressing modes, flags, endianness, alignment, memory ordering), x86-64 (register file, the instruction set honestly, compiler idioms, the x86 tax), AArch64/ARM64, RISC-V (design philosophy, profiles and fragmentation), and other ISAs worth knowing. Includes the router for the whole assembly-programming reference.
assembly-reference
Use when reviewing assembly for known anti-patterns, weighing contested questions (hand-written asm vs compilers, CISC vs RISC, fixed-width SIMD vs scalable vectors, AVX-512's design, whether and which ISA to learn first), checking whether an ISA or microarchitecture claim is still current (snapshot verified August 2026), finding the authoritative vendor manuals, performance references, books, and people, or needing the quick-reference numbers, first moves, and hand-written-assembly review checklist. Companion to the other assembly-programming skills.
assembly-systems-crypto-and-inline
Use when writing systems-level assembly (interrupt handlers, context switches, syscall stubs, boot code, privileged instructions), cryptographic or constant-time assembly (the three rules, the hardware contract and why it changed, going beyond hand-writing), inline assembly and compiler intrinsics (GCC/Clang extended asm constraints and clobbers, when to prefer intrinsics), or debugging, testing, and verifying hand-written assembly with GDB, sanitizers, and differential testing.
assembly-toolchain-performance-and-simd
Use when wiring assembly to C (calling conventions and ABIs: System V, Windows x64, AAPCS64, RISC-V), choosing or fighting an assembler (GAS vs NASM, AT&T vs Intel syntax, linkers, objdump), reading disassembly and recognizing compiler patterns, or optimizing at the instruction level. Covers the out-of-order/superscalar mental model, latency vs throughput, caches and memory, branch prediction, alignment, and SIMD/vector programming — SSE/AVX/AVX-512/AVX10, NEON/SVE2/SME, RISC-V RVV — and how to write SIMD well.
auto-architecture-buses-and-autosar
Use when orienting in a vehicle software stack or working below the application layer: what makes automotive software different, E/E architecture and its evolution toward zonal and central compute, mixed criticality on shared compute, power and E/E realities, the buses — CAN and the details that actually matter, Automotive Ethernet and service-oriented communication — and AUTOSAR Classic and Adaptive Platform. Includes the router for the whole automotive-software reference.
auto-diagnostics-ota-and-adas
Use when working on serviceability, updates, or driver assistance: diagnostics including UDS and DTC handling, flashing and over-the-air update with its safety and rollback constraints, and ADAS and autonomy — the SAE levels stated precisely, the perception-planning-control stack, safety architecture for autonomy, and the validation problem that makes it hard.
auto-process-testing-domains-and-supply-chain
Use when dealing with how automotive software actually gets built and shipped: process and toolchain including ASPICE and the V-model, testing from unit through hardware-in-the-loop and vehicle-level validation, the vehicle domains (powertrain, chassis, body, infotainment, ADAS) and their differing constraints, and the supply chain reality of OEMs, tier-one suppliers and who actually writes the code.
auto-real-time-safety-and-cybersecurity
Use when safety or security requirements drive the design: real-time scheduling and timing analysis, functional safety under ISO 26262 including how ASIL is determined, ASIL decomposition, the safety lifecycle, the software mechanisms you will actually implement, and SOTIF (ISO 21448); plus cybersecurity under ISO/SAE 21434 and the UN R155 and R156 regulations that gate market access, with the technical measures they imply.
auto-reference
Use when checking an automotive software anti-pattern, looking up a bus rate, timing or standard number, asking what actually moved in regulation and architecture (verified August 2026), finding the books and standards, or needing a picker and a design review checklist. Companion to the other automotive-software skills.
hyperscaler-cost-reliability-iac-lock-in-and-migration
Use when the commercial or operational reality matters more than the feature list: cost mechanics including commitments, egress and the line items that surprise people, reliability, regions and what an SLA actually promises, infrastructure as code across the native and third-party tools, lock-in and multi-cloud assessed honestly rather than ideologically, and migration approaches and their realistic effort.
hyperscaler-framing-responsibility-identity-and-hierarchy
Use when starting on a provider comparison or designing an account structure: the honest framing of what genuinely differs between AWS, GCP and Azure versus what is naming, the shared responsibility model, identity and access where the three actually diverge — IAM policies and roles, Entra ID and RBAC, and GCP's resource-oriented model — with the comparison that matters, and resource hierarchy and organization design. Includes the router for the whole aws-gcp-azure-deep-dive reference.
hyperscaler-networking-compute-containers-and-serverless
Use when placing workloads: networking including VPC models, peering, private connectivity and the egress paths, compute and the instance families and pricing modes, containers and the managed Kubernetes offerings and how much each provider actually manages, and serverless including the function platforms, their cold-start and concurrency behaviour, and where serverless stops being the right answer.
hyperscaler-reference
Use when checking a cloud anti-pattern, mapping a service to its equivalent on another provider, checking what moved in egress pricing under the EU Data Act switching regime or in the AI-driven competitive position (verified August 2026), correcting a misconception, looking up a limit or quota, or needing a picker and a new-environment checklist. Companion to the other aws-gcp-azure-deep-dive skills.
hyperscaler-storage-databases-analytics-and-observability
Use when choosing a data or platform service: object, block and file storage and the storage classes and retrieval characteristics, the managed database offerings relational and otherwise, the analytics and warehouse stacks, the AI/ML service layers and what is genuinely differentiated, and observability — the native logging, metrics and tracing products and their limits.
azure-rbac
Use whenever working with Azure Role-Based Access Control, Azure resource permissions, service principals, managed identities, scope hierarchy, control plane vs data plane authorization, AKS RBAC, or GitHub Actions Azure authentication. Triggers on any question about who can do what on Azure resources.
azure-services-catalog
Azure service selection and production implementation guide covering compute (Container Apps, AKS, Functions, App Service), messaging (Service Bus, Event Hubs, Event Grid), networking (hub-spoke, Virtual WAN, private endpoints), storage, databases (SQL, Cosmos DB, PostgreSQL), AI/Microsoft Foundry, cost optimization, IaC, identity, and 2024–2026 deprecations. Use when advising on Azure architecture decisions, service comparisons, migration planning, or production configuration patterns.
kubernetes-iac
Use whenever working with Kubernetes infrastructure-as-code, AKS provisioning, Helm charts, Kustomize overlays, GitOps with Flux or ArgoCD, Terraform for AKS, Bicep for Azure resources, or AKS security hardening. Triggers on any AKS, Kubernetes IaC, GitOps, or cluster configuration request.
banking-compliance-security-and-remittance-costs
Use for the constraint layer that shapes what payment systems can do: compliance including KYC, AML, sanctions screening and the de-risking that cuts off whole corridors, security covering the SWIFT-related heists, endpoint compromise and the CSP controls that followed, and the real costs and economics of remittances and where the fees actually go.
biochem-atoms-bonding-and-intermolecular-forces
Use when reasoning about why a substance behaves the way it does at the molecular level: atomic structure and periodic trends and their underlying cause, electronegativity as the master variable, bond types, VSEPR geometry and orbital models, and the intermolecular forces from dispersion through hydrogen bonding that set boiling points, solubility and phase behaviour, plus solutions and colligative properties. Includes the router for the whole biology-chemistry-foundations reference.
biochem-biomolecules-cells-and-evolution
Use when working on the biology side: proteins and their folding, nucleic acids, carbohydrates and lipids; enzymes and enzyme kinetics including the Michaelis-Menten treatment and inhibition; bioenergetics and metabolism from ATP coupling through glycolysis, the citric acid cycle and oxidative phosphorylation; membranes and transport; cell architecture and organelles; the cell cycle and signal transduction; and evolution as the organizing principle underneath all of it.
biochem-organic-chemistry-and-analytical-methods
Use when working with organic structures or interpreting an analytical result: structure, functional groups, stereochemistry and isomerism, and reaction mechanism as the reasoning that actually transfers rather than a list of named reactions; plus analytical methods and spectroscopy — chromatography, mass spectrometry, NMR, IR and UV-Vis — and what each one can and cannot tell you.
biochem-reference
Use when correcting a common chemistry or biology misconception, checking a constant, magnitude or physiological value, finding the textbook canon, or needing the core equations and a reasoning checklist for approaching an unfamiliar problem. Companion to the other biology-chemistry-foundations skills.
biochem-thermodynamics-kinetics-and-equilibrium
Use when asking whether a reaction goes and how fast: the laws of thermodynamics and the Gibbs free energy relation, enthalpy and entropy, chemical kinetics and rate laws, activation energy and catalysis, equilibrium and Le Chatelier, acid-base chemistry, pH and buffers, and redox and electrochemistry including half-reactions, cell potentials and the Nernst equation.
biomed-biomechanics-devices-and-biostatistics
Use when working on the physical or experimental side: biomechanics of tissue and gait, biomaterials and biocompatibility, tissue engineering and scaffolds, neural interfaces and prosthetics (recording, the signal chain, prosthetic control), lab automation and instrumentation, and the biostatistics that determine whether a result holds up — study design, multiple comparisons, survival analysis and effect sizes.
biomed-clinical-data-ml-and-bioinformatics
Use when building models or pipelines on clinical or genomic data: clinical data structures and standards, the technicals of clinical machine learning — the prevalence problem, calibration rather than discrimination alone, where clinical models learn the wrong thing, and the validation ladder — and bioinformatics including sequence alignment, variant calling, and expression and single-cell analysis.
biomed-reference
Use when correcting a common biomedical misconception, checking a physiological or instrument value, finding the textbook canon, or needing the core equations, a method picker, and a debugging checklist for a pipeline producing implausible output. Companion to the other biomedical-engineering skills.
biomed-signals-and-medical-imaging
Use when working with physiological signals or medical images: the signals and their frequency bands (ECG, EEG, EMG, PPG), the filtering constraints specific to this domain, detection and feature extraction; and medical imaging — modality physics for CT, MRI, ultrasound, PET and X-ray, the DICOM internals that produce silent errors, reconstruction, and registration and segmentation. Includes the router for the whole biomedical-engineering reference.
biomed-structural-systems-biology-and-pharmacology
Use when modelling biological structure or dynamics: structural biology including protein structure determination and prediction, systems biology and network modelling, pharmacokinetics and pharmacodynamics including compartment models, clearance and dose-response, and physiological models of the cardiovascular, respiratory and metabolic systems.
biz-legal-contracts-ip-employment-and-privacy
Use when orienting on a commercial legal question before taking it to counsel: the scope note on what this material is and is not, how legal risk actually materializes, contracts including the clauses that matter and the ones that are negotiated theatre, intellectual property across copyright, trademark, patents and trade secrets, employment and contractor classification, privacy and data obligations, consumer protection and marketing law, and disputes and their realistic costs. Orientation, not legal advice.
biz-marketing-evidence-brand-and-attribution
Use when planning or auditing marketing: the fundamentals, what the advertising evidence actually shows rather than what the folklore claims, brand and advertising and the long-term versus short-term split, measurement and attribution including the limits of last-click and multi-touch models and incrementality testing, and the channels and their differing economics.
biz-models-strategy-operations-and-financing
Use when reasoning about how a business actually works: business models and unit economics including contribution margin, CAC, LTV and payback and the ways those numbers get misstated, strategy and competitive positioning, operations and organization design, and financing from bootstrapping through venture and debt with the dilution and control consequences. Includes the router for the whole business-marketing-sales-law reference.
biz-reference
Use when checking what moved in marketing measurement after the cookie reversal or in the US state privacy patchwork (verified August 2026), correcting a business, marketing, sales or legal misconception, finding the canon, or needing a picker and the checklist to run before signing anything. Companion to the other business-marketing-sales-law skills.
biz-sales-process-qualification-and-negotiation
Use when building or running a sales motion: the sales process and pipeline stages, qualification frameworks and what they are actually for, negotiation including preparation, concession structure and the tactics worth recognizing, and sales management covering forecasting, compensation design and the metrics that drive the wrong behaviour.
cad-design-tolerances-and-materials
Use when designing a part that has to work rather than just print: design for additive manufacturing including overhangs, supports, orientation and anisotropy, tolerances and fits and how to achieve them on a printer that does not hold them natively, and materials and their mechanical, thermal and environmental behaviour.
cad-generative-automation-and-scanning
Use when going beyond hand modelling: generative design and lattice structures and what they are actually good for, automation pipelines for batch generation, headless CAD and build integration, and scanning and reverse engineering including point clouds, registration and getting from a scan back to editable geometry.
Quality Score: 51/100
Details
- Author
- adammatthewsteinberger
- Repository
- adammatthewsteinberger/vibey-skills
- Created
- 1 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT