Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Expert blueprint for hierarchical finite state machines (HSM) and pushdown automata for complex AI/character behaviors. Covers state stacks, sub-states, transition validation, and state context passing. Use when basic FSMs are insufficient OR implementing layered AI. Keywords state machine, HSM, hierarchical, pushdown automata, state stack, FSM, AI behavior.
LayerZero V2 messaging on Hedera. Use when building OFT / OApp bridges between Hedera and EVM chains, configuring Endpoint V2 peers and ULN/DVN/executor wiring, sending with quoteSend + send, implementing HTS-backed OFT connectors (mint/burn via 0x167), or relaying educational lzReceive flows on testnet.
This skill should be used when building React components with TypeScript, typing hooks, handling events, or when React TypeScript, React 19, Server Components are mentioned. Covers type-safe patterns for React 18-19 including generic components, proper event typing, and routing integration (TanStack Router, React Router).
Diagnoses why ROCm, the HIP SDK, PyTorch, or llama.cpp is broken on an AMD GPU on Linux, Windows, or WSL2, then applies a low-risk fix with consent or hands back the exact next step. Also routes Lemonade, LM Studio, and Ollama problems to the right upstream channel. Use when the user reports that ROCm or HIP "isn't working", torch.cuda.is_available() is False, rocminfo / hipInfo can't see the GPU, or hits hipErrorNoBinaryForGpu, HSA_STATUS_ERROR_INVALID_ISA, "invalid device function", "no kernel image is available", cannot open /dev/kfd, permission denied on /dev/kfd, "ROCk module is NOT loaded", a missing libamdhip64.so / amdhip64_6.dll / hipblas.dll / vcruntime140_1.dll, an HSA_OVERRIDE_GFX_VERSION page fault, an iGPU+dGPU crash, a container that can't see the GPU, or an amdgpu-install / DKMS failure. Backed by the `rocm` CLI (`rocm examine` / `rocm diagnose` / `rocm fix`); this skill is a thin driver over those commands, not a re-implementation.
Axelar General Message Passing (GMP) on Hedera. Use when sending or receiving cross-chain contract calls via Axelar Gateway (callContract, payNativeGasForContractCall), building AxelarExecutable receivers, wiring Hedera↔EVM destinations, or separating bridge transport from destination handlers (orchestrated / scheduled flows).
Binary hardening skill for security-hardened C/C++ builds. Use when enabling RELRO, PIE, stack canaries, FORTIFY_SOURCE, CFI sanitizers, shadow stack, or seccomp-bpf syscall filtering. Covers checksec analysis, compiler and linker flags for hardened builds, and NSA/CISA-recommended mitigations. Activates on queries about binary hardening, checksec, RELRO, PIE, stack canaries, FORTIFY_SOURCE, CFI, shadow stack, or seccomp.
Scaffold, build, and package SwiftPM-based macOS apps without an Xcode project. Use when you need a from-scratch macOS app layout, SwiftPM targets/resources, a custom .app bundle assembly script, or signing/notarization/appcast steps outside Xcode.
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies
Quantitative strategy generation and optimisation framework via Longbridge — create, modify, and backtest quant strategies: parameter grid search, walk-forward validation, overfitting detection (in-sample vs. out-of-sample), strategy combination (multi-strategy correlation diversification), Sharpe / Calmar ratio optimisation. Generates Python code frameworks for local execution. Triggers: "策略优化", "策略生成", "参数优化", "网格搜索", "回测优化", "过拟合", "walk-forward", "策略回测优化", "策略組合", "策略優化", "策略生成", "參數優化", "網格搜索", "回測優化", "strategy optimization", "strategy generation", "parameter optimization", "grid search", "overfitting", "walk-forward validation", "strategy backtest", "Sharpe ratio", "Calmar ratio"
Discover and refine ubiquitous domain language, invariants, events, aggregates, and bounded contexts from concrete scenarios, avoiding anemic domain models. Use when terms, rules, or data ownership are ambiguous, two teams use the same word differently, or a modeling decision is needed; do not create documentation parallel to the authorized source; not for infrastructure or deployment decisions—use `$specsfy-specialist-software-architecture` for those.
Designs module interfaces, deepens shallow modules, and installs enforceable repository guardrails and agent wayfinding. Use when asked to "design the architecture", "simplify our modules", "find shallow modules", "harden the repo", "gate an unattended agent fix job", or "triage alerts with an agent".
DWARF debug format skill for understanding debug information. Use when inspecting DWARF sections with dwarfdump, working with split DWARF (.dwo files), setting up debuginfod for remote symbol resolution, or understanding how DWARF interacts with LTO and symbol stripping. Activates on queries about DWARF, .debug_info, .debug_line, dwarfdump, split DWARF, .dwo files, debuginfod, or debug info stripping.
Load when authoring, writing, or designing a Kotlin Toolchain local plugin to extend the declarative build with code generation, build-time processing, custom verification, or packaging that module.yaml cannot express, or when referencing @TaskAction, @Configurable, plugin.yaml, or jvm/amper-plugin. Skip for porting an existing Gradle plugin.
Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns. This skill should be used when the user asks about "architecture decision", "ADR", "design pattern selection", "technology choice", or needs to evaluate architectural trade-offs. Keywords: architecture, ADR, patterns, trade-offs, technical debt, quality attributes, decision record.
Work with c15t consent management docs, APIs, and integrations for Next.js, React, and JavaScript. Use when the user asks about c15t setup, components, hooks, styling, cookie/consent UX, GDPR/CCPA/IAB TCF compliance, script or iframe blocking, GTM/GA4/PostHog/Meta integrations, or self-hosting c15t/backend.
Govern how the design system evolves (SemVer for tokens/components, the contribution workflow, deprecation policy, and change communication). Use when the user wants to add/promote/deprecate a component or token, decide a version bump, set up a contribution process, or keep the system from fragmenting
Expert RabbitMQ administrator and developer specializing in message broker architecture, exchange patterns, clustering, high availability, and production monitoring. Use when designing message queue systems, implementing pub/sub patterns, troubleshooting RabbitMQ clusters, or optimizing message throughput and reliability.
Guide no_std Rust development for embedded and bare-metal targets. Use when writing #![no_std] crates, understanding core vs alloc vs std, implementing custom global allocators, selecting panic handlers for embedded, or testing no_std crates on the host without hardware.
Code commit, PR creation, merge, and issue closure workflow via GitHub CLI (gh). Triggers after a goal (GitHub Issue) implementation is complete — commit code, push branch, create PR, merge, then close the issue. Use when the user says "提交代码", "commit and merge", "创建PR", "合入", "关闭issue", "ship-it", or when a goal implementation is done and code needs to be shipped.
STM32 + FreeRTOS embedded development expert. Supports the full Cortex-M series, native FreeRTOS v10+ and CMSIS-RTOS v2 APIs. Use for creating tasks/queues/semaphores, integrating the standard library + HAL peripherals, memory optimization, low-power Tickless mode, STM32CubeMX configuration, and debug analysis (SEGGER SystemView / Percep TRACEalyzer).
WeChat Pay medical insurance payment (mobile medical insurance payment 2.0) integration solution, covering the full chain of medical insurance and self-pay mixed ordering, order query, medical insurance refund notification, and medical insurance payment callback, with five capabilities: solution selection, sample code, business quick reference, quality assessment, and troubleshooting. Use when the user mentions "医保支付", "移动医保支付2.0", "医保自费混合", "医保电子凭证", "医保混合收款", "医保退款通知", "医保挂号", "医保诊间支付", "医保住院结算", "医保药店购药", "互联网医院医保", "医保定点机构", or asks to "接入医保支付", "要医保下单接口示例代码", "排查医保支付问题".
Build type-safe LLM applications with DSPy.rb — Ruby's programmatic prompt framework with signatures, modules, agents, and optimization. Use when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers, building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.
ALWAYS `render inertia: { key: data }` to pass data as props — instance variables are NOT auto-passed (only alba-inertia does that). Rails controller patterns for Inertia.js: render inertia, prop types (defer, optional, merge, scroll), shared data, flash, PRG redirects, validation errors. Use when writing controllers that load data, display records, or serve Inertia responses. CRITICAL: external URLs (Stripe/OAuth) MUST use inertia_location, NEVER redirect_to.
Load when porting, converting, or reimplementing a single Gradle plugin as a Kotlin Toolchain local plugin, or when mapping Gradle plugin concepts (Task, Extension, project.version, dependsOn, -P properties, afterEvaluate) to Toolchain analogs. Skip for migrating a whole Gradle project or authoring a plugin from scratch.
Operate Manta-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Manta's embedded browser through the `manta` CLI. Use when the user says "$manta-cli", "Manta worktree", "child worktree", "spawn codex/claude in a worktree", "read/wait/send Manta terminal", "handoff" / "handover" / "give this to another agent", "Manta browser", "manta artifacts", or "share skills". Prefer it over raw git worktree, ad hoc PTYs, or Computer Use when Manta state is involved. Use Computer Use only when a visible window needs GUI control that a CLI, filesystem, or API cannot do.
React 19/19.2 modern patterns for concurrent rendering, Server Components, actions, ref-as-prop, document metadata, resource hints, hooks, and memoization — plus a category-major review/refactor algorithm with codebase-level (remove/dedup/reuse) findings. This skill should be used when writing React 19 components, using concurrent features, migrating from React 18, optimizing re-renders, OR auditing/refactoring a React codebase (single file or whole repo). This skill does NOT cover Next.js-specific features like App Router, next.config.js, or Next.js caching (use nextjs-16-app-router skill). For client-side form validation with React Hook Form, use react-hook-form skill.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
