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Found 1,637 Skills
Read content from Feishu cloud documents or knowledge bases and analyze document structure. It is used when users request to "view", "read", "analyze", "fetch", "open" Feishu documents or knowledge bases. It supports reading via document ID, knowledge base Token or URL. Markdown is used as the intermediate format and stored in the /tmp directory.
Skill para estimar proyectos de software y generar documentos Word profesionales. Genera estimaciones con tiempo en meses, equipo propuesto (rol y porcentaje de dedicación), consideraciones técnicas, y warnings/riesgos. Incluye template .docx corporativo. Usar cuando el usuario pida estimar un proyecto, calcular tiempos, definir equipo necesario, generar documento de estimación, o frases como "cuánto tiempo llevaría", "qué equipo necesito", "estimar proyecto", "presupuesto de tiempo", "planificar desarrollo", "documento de estimación".
Use when building or debugging WordPress blocks with Blockstudio — a PHP-first block framework. Invoke for block.json configuration, PHP/Twig/Blade templates, field definitions, asset enqueuing (global-*, style.css, script.js), code-snippet directories, Build::init() setup, blockstudio.json settings, and Composer installation.
Use this when you need to execute the AI SDLC (Spec Pack) process in the sdlc-dev repository, select/chain together skills from the demand side (raw/solution/prd/prototype/demo) and implementation side (plan/execute/finishing), and use guardrails to avoid context drift, incorrect directory writes, or skipping critical steps under pressure.
Use this when you need to execute R4 (generate an interactive Demo project based on requirements/prototype.md) in the sdlc-dev product requirement Spec process, and need to avoid skipping spec-context, proceeding when prototype.md is missing or the runnable Demo project root directory is missing, or creating custom pages/directories that lead to untraceability and inability to close the loop.
Calculate risk-based position sizes for long stock trades. Use when user asks about position sizing, how many shares to buy, risk per trade, Kelly criterion, ATR-based sizing, or portfolio risk allocation. Supports stop-loss distance calculation, volatility scaling, and sector concentration checks.
Used when the current Spec Pack needs to be discarded/revoked due to major requirement issues, and the corresponding `.aisdlc/specs/{branch}` directory as well as local and remote branches must be deleted. Meanwhile, you need to output the deletion list and ask the user for double confirmation before performing the deletion.
Use this skill when diagnosing, configuring, or monitoring NICs for AF_XDP / XDP workloads. Covers driver detection, hardware queue configuration, ring buffer sizing, RSS indirection table management, interrupt coalesce tuning, offload control (GSO/GRO/TSO/LRO), VLAN offloads, Flow Director (FDIR) rules with loc pinning and ixgbe wipe bug workaround, RPS/XPS queue CPU mapping, sysctl network tuning, CPU core pinning and NUMA awareness, hardware queue and drop monitoring, softirq and rx_missed_errors analysis, BPF program inspection with bpftool (prog dump xlated, net show), kernel tracing via ftrace and dmesg, perf profiling and flamegraphs, IRQ-to-queue-to-core mapping, bonding interface diagnostics, socket inspection, and a quick diagnostic checklist.
Skill for creating custom lint rules by leveraging the existing linter ecosystems of various programming languages. This is a linter designed for AI Agents rather than humans, and its error messages function as correction instruction prompts for AI. Create custom rules in the `lints/` directory using standard methods for each language, including Rust (dylint), TypeScript/JavaScript (ESLint), Python (pylint), Go (golangci-lint), etc. Use this skill in the following scenarios: (1) When you want AI to enforce project-specific coding rules; (2) When you want to create lint rules that output AI-readable correction instructions when violations occur; (3) When you want to enforce naming conventions, structural patterns, and consistency rules through AI-driven linting. Triggers: "Create a linter rule", "Add a lint rule", "Enforce this pattern", "AI linter", "Custom lint", "Code rules", "Naming rules", "Structural rules", "create a linter rule", "add a lint rule", "enforce this pattern", "AI linter".
Use when user asks to setup endorctl, install endorctl, run endorctl scan, scan for vulnerabilities, run endor scan or run Endor Labs scan or when any endorctl command fails with 'command not found', 'no such file or directory', authentication errors, 'unauthorized', '403', 'tenant not found', EOF error, or namespace/access errors.
Uniwind — Tailwind CSS v4 styling for React Native. Use when adding, building, or styling components in a React Native project that uses Tailwind with className. Triggers on: className on React Native components, Tailwind classes in RN code, global.css with @import 'uniwind', withUniwindConfig, metro.config.js with Uniwind, withUniwind for third-party components, useResolveClassNames, useCSSVariable, useUniwind, dark:/light: theming, platform selectors (ios:/android:/native:/web:/tv:), data-[prop=value] selectors, responsive breakpoints (sm:/md:/lg:), tailwind-variants, tv() component variants, ScopedTheme, Uniwind.setTheme, Uniwind.updateCSSVariables, Uniwind.updateInsets, @layer theme, @variant, @theme directive, @theme static, @utility, CSS variables in React Native, accent- prefix pattern, colorClassName, tintColorClassName, contentContainerClassName, Uniwind Pro (animations, transitions, shadow tree, native insets), safe area utilities (p-safe/pt-safe/-safe-or-/-safe-offset-), gradients in RN, custom CSS classes, hairlineWidth(), fontScale(), pixelRatio(), light-dark(), OKLCH colors, cn utility, tailwind-merge, HeroUI Native, react-native-reusables, Gluestack. Also triggers on: "styles not applying", "className not working", "audit Uniwind setup", "check my config", "add a component", "style a component". Does NOT handle NativeWind-to-Uniwind migration — use the migrate-nativewind-to-uniwind skill for that.
Database sharding for PostgreSQL/MySQL with hash/range/directory strategies. Use for horizontal scaling, multi-tenant isolation, billions of records, or encountering wrong shard keys, hotspots, cross-shard transactions, rebalancing issues.