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Claude Skills by the-vibey-project
github.com/the-vibey-project809 skills1 installs1,082 views
- Llm DiscoveryUse for robots, sitemap indexes, canonical URLs, social metadata, JSON-LD, `llms.txt`, and `llms-full.txt`. Production is canonical/indexable by default; Preview is noindex by default. Generate repository-specific absolute URLs and immutable provenance.Votes: 0GitHub stars: 2
- Pr RepairUse for failed exact-head scans. Separate code failures from operational blocks, inspect evidence, make the smallest correct edit, never weaken checks, and publish at most one guarded non-force commit per attempt.Votes: 0GitHub stars: 2
- Release SafetyVerify the exact head and every required gate before mutation. Develop publishes only to TestPyPI and preview surfaces; main publishes only to PyPI and production surfaces. Never delete or force-push main/develop. Preserve immutable tags, releases, package provenance, and branch-specific documentation.Votes: 0GitHub stars: 2
- TestingUse for any behavior or gate change. Maintain 100% coverage, test failure branches, validate all workflow templates, and run every command in `CONTRIBUTING.md` without weakening thresholds or assertions.Votes: 0GitHub stars: 2
- Threat ModelUse for tokens, permissions, AI tools, untrusted content, shell, webhooks, APIs, or remote mutation. Identify assets and abuse cases; require least privilege, authentication, replay protection, exact-head decisions, bounded repair, and independent validation.Votes: 0GitHub stars: 2
- ArchitectureThis skill should be used when designing or changing vibey-gh configuration, policy logic, adapters, CLI commands, templates, or cross-repository contracts.Votes: 0GitHub stars: 2
- TestingThis skill should be used when adding behavior, repairing a failed gate, changing workflows, or validating a release.Votes: 0GitHub stars: 2
- Foss DocumentationThis skill should be used when creating, auditing, or refreshing the complete documentation and governance suite of a FOSS repository.Votes: 0GitHub stars: 2
- Llm DiscoveryThis skill should be used when maintaining robots, sitemaps, canonical URLs, structured data, social cards, llms.txt, or llms-full.txt.Votes: 0GitHub stars: 2
- Conflict ResolutionThis skill should be used when a pull request conflicts with its target branch and requires a guarded semantic resolution.Votes: 0GitHub stars: 2
- Pr RepairThis skill should be used when diagnosing or repairing failed pull-request scans without weakening their checks.Votes: 0GitHub stars: 2
- Release SafetyThis skill should be used for versioning, publishing, tagging, GitHub Releases, Pages, Packages, promotion, or branch realignment.Votes: 0GitHub stars: 2
- Threat ModelThis skill should be used when changing permissions, tokens, untrusted PR handling, AI tools, shell commands, or remote mutations.Votes: 0GitHub stars: 2
- Aero Aerodynamics Airfoils And Compressible FlowUse 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.Votes: 0GitHub stars: 2
- Aero Drones Launch Vehicles Flight Test And DesignUse 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.Votes: 0GitHub stars: 2
- Aero Performance Stability And PropulsionUse 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.Votes: 0GitHub stars: 2
- Aero ReferenceUse 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.Votes: 0GitHub stars: 2
- Aero Structures Aeroelasticity And AvionicsUse 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.Votes: 0GitHub stars: 2
- Delivery VelocityUse 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.Votes: 0GitHub stars: 2
- Engineering MetricsUse 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.Votes: 0GitHub stars: 2
- Security First AgileUse 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 proce...Votes: 0GitHub stars: 2
- Ai Ml LandscapeComprehensive 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 hardwar...Votes: 0GitHub stars: 2
- Data EngineeringProduction 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 ...Votes: 0GitHub stars: 2
- Llm Cost OptimizationProduction reference for LLM token economics, cost optimization, and prompt engineering on Azure. Covers tokenization and pricing asymmetry, prompt caching (Azure/Anthropic/Google), model routing and cascades, PTU vs PAYG break-even, Azure APIM AI gateway, semantic caching, context window engineering, prompt/context compression (LLMLingua, LongLLMLingua, RECOMP, Selective Context, extractive compression), caveman/telegraphic prompting, token-lean serialization formats (TOON/Markdown/YAML vs J...Votes: 0GitHub stars: 2
- Rag And AgentsProduction 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, cho...Votes: 0GitHub stars: 2
- Ai Chatbot FundamentalsComprehensive 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 explaini...Votes: 0GitHub stars: 2
- Chatbot Build And DeployComprehensive 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.Votes: 0GitHub stars: 2
- Chatbot Business ValueReference 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 perfo...Votes: 0GitHub stars: 2
- Rag Architecture BusinessBusiness 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 ...Votes: 0GitHub stars: 2
- Algo Core AlgorithmsUse 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.Votes: 0GitHub stars: 2
- Algo Data StructuresUse 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.Votes: 0GitHub stars: 2
- Algo Foundations And Machine ModelUse 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.Votes: 0GitHub stars: 2
- Algo Probabilistic Concurrency And MeasurementUse 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.Votes: 0GitHub stars: 2
- Algo ReferenceUse 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.Votes: 0GitHub stars: 2
- Arm Aarch64 Exception Levels Memory Model And MmuUse 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.Votes: 0GitHub stars: 2
- Arm Cortex M Toolchain Porting And PerformanceUse 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.Votes: 0GitHub stars: 2
- Arm ReferenceUse 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.Votes: 0GitHub stars: 2
- Arm System Architecture Boot And VirtualizationUse 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.Votes: 0GitHub stars: 2
- Arm Vectors Atomics Numerics And Security ArchitectureUse 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.Votes: 0GitHub stars: 2
- Arm What Arm Is Licensing Families And Isa GenerationsUse 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.Votes: 0GitHub stars: 2
- Art Aesthetics And Philosophy Of ArtUse 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.Votes: 0GitHub stars: 2
- Art Claims Elements Colour And CompositionUse 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.Votes: 0GitHub stars: 2
- Art History Modernism And The CanonUse 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.Votes: 0GitHub stars: 2
- Art Interpretation Criticism And The Art WorldUse 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.Votes: 0GitHub stars: 2
- Art ReferenceUse 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.Votes: 0GitHub stars: 2
- Assembly Fundamentals And IsasUse 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-program...Votes: 0GitHub stars: 2
- Assembly ReferenceUse 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 ch...Votes: 0GitHub stars: 2
- Assembly Systems Crypto And InlineUse 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.Votes: 0GitHub stars: 2
- Assembly Toolchain Performance And SimdUse 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 ...Votes: 0GitHub stars: 2
- Auto Architecture Buses And AutosarUse 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.Votes: 0GitHub stars: 2