Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Set up codebase intelligence for AI agents. Runs the agentifind CLI to extract code structure using LSP (pyright/tsserver) with tree-sitter fallback, then synthesizes a CODEBASE.md navigation guide. Run this skill to get a complete codebase map in .claude/ directory.
Synthesised view of account health and activity for managers overseeing customer-facing teams (Sales, CS, Professional Services, Presales). Scans project channels, email threads, and Notion pages to surface status, risks, and upcoming milestones, without requiring the manager to trawl through individual channels. Supports proactive account management.
Interact with Channel Talk using extracted desktop app or browser credentials - read chats, send messages, search messages, manage groups
Create videos with Vue using Pellicule - a Vue-native video rendering library
Virtual office dashboard — pixel-art NPCs for your OpenClaw agents. Install, manage, and interact with your retro AI office.
How to avoid burning tokens when nothing is happening. The core principle: **use zero-token bash checks as gates before invoking the LLM**.
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Connect to any MCP server with progressive disclosure - load tool schemas on-demand instead of dumping thousands of tokens into context upfront.
Use this skill whenever PDF files are created, read, merged, split, transformed, OCR-processed, or data-extracted.
Convert a codebase into a self-contained HTML portal app for ingestion into AI application systems. Produces a single deployable HTML file with embedded CSS, JS, and data.
Designs scalable backend architectures covering microservices, event-driven systems, API gateways, and data stores. Use when designing a backend system or when the user mentions backend architecture, scalability, or distributed systems.
Executes infrastructure deployment operations including Docker, CI/CD, AWS Lambda, SAM, Terraform, and GitHub Actions. Use when dockerizing applications, configuring CI/CD pipelines, or deploying to cloud infrastructure.
Multi-agent diagnostic pipeline for complex/intermittent bugs. Orchestrates Investigator → Verifier → Solver → Lead Programmer with enforced handoff contracts. Use ONLY for non-obvious failures (root cause unclear, reproduction unstable, fixes reverted). NOT for trivial bugs with known cause — fix them directly.
Provides MLOps patterns for ML CI/CD pipelines, model registries, monitoring, and data drift detection. Use when setting up ML infrastructure or when the user mentions MLOps, model deployment, ML pipeline, or model monitoring.
Orchestrates the release team of release-manager, qa-lead, devops-engineer, and producer to execute a release from candidate to production deployment. Use when coordinating a release across QA, DevOps, and release management.
Orchestrates the UI team of ux-designer and ui-programmer to design, implement, and polish a UI feature from wireframe to final implementation. Use when a UI component or page needs both design and engineering coordination.
Manage emails via REST API - send, read, search, delete emails, manage contacts, upload files, and store data. Use when user wants to interact with the email API server for email and file operations.
Send and receive messages via Telegram for two-way agent communication. Use when the agent needs to notify the user, alert them about something, relay a response, or when Telegram messaging is the requested channel. Trigger words: send message, Telegram, notify, alert user, message me, ping me, let me know, reach out.
Fetch web content efficiently by checking llms.txt first, then Cloudflare markdown endpoints, then falling back to HTML. Reduces token usage by 80% on sites that support clean markdown delivery. No external dependencies — installs a single Python script. Trigger words: fetch URL, web content, read website, scrape page, download page, get webpage, read this link.
Provides machine learning engineering patterns for model training pipelines, feature engineering, experiment tracking, and model serving. Use when working with ML code or when the user mentions ML engineering, model training, or feature pipelines.
`reth-optimism-payload-builder` crate: builds Optimism payloads and validates OP execution payloads.
AI-native web intelligence workflow for crawling, organizing, and synthesizing web content from multiple platforms (Zhihu, Reddit, HN, X/Twitter, Xiaohongshu, Weibo). Use when users share URLs, want to archive web content, build knowledge bases, or analyze online discussions.
Primitive web crawling and scraping for one or more URLs. Use when a user shares links, asks to ingest or archive web content, or needs raw source artifacts normalized into reusable local records before feed-building or synthesis.
'Expert guidance on using PostgreSQL with Swift. Use when developers mention: (1) PostgreSQL or Postgres in Swift, (2) postgres-nio library, (3) SQL queries in Swift, (4) PostgreSQL connection pooling, (5) prepared statements, (6) type-safe database access, (7) bulk loading or COPY FROM, (8) PostgresClient or PostgresConnection.'
'Expert guidance on SwiftNIO best practices, patterns, and implementation. Use when developers mention: (1) SwiftNIO, NIO, ByteBuffer, Channel, ChannelPipeline, ChannelHandler, EventLoop, NIOAsyncChannel, or NIOFileSystem, (2) EventLoopFuture, ServerBootstrap, or DatagramBootstrap, (3) TCP/UDP server or client implementation, (4) ByteToMessageDecoder or wire protocol codecs, (5) binary protocol parsing or serialization, (6) blocking the event loop issues.'
'Expert guidance on building WASM apps for Wendy Lite MCU firmware on ESP32-C6. Use when developers mention: (1) Wendy Lite or wendy-lite, (2) WASM apps on ESP32 or microcontrollers, (3) WendyLite Swift package or import WendyLite, (4) building C/Rust/Swift/Zig apps for ESP32, (5) WAMR runtime on embedded devices, (6) GPIO/I2C/SPI/UART/NeoPixel from WASM, (7) Embedded Swift on WASM or wasm32-none-none-wasm, (8) BLE provisioning on ESP32-C6, (9) uploading WASM binaries to MCU, (10) TLS/networking on ESP32 from Swift.'
Audit-only verification of manuscript references against PubMed and CrossRef. Detects fabricated or mismatched citations and writes qc/reference_audit.json. Does not modify references/ or refs.bib.
Use when the user wants to download a paper PDF from a DOI (or title, resolved to a DOI first) via legal open-access sources. Tries Unpaywall, arXiv, bioRxiv/medRxiv, PubMed Central, and Semantic Scholar in order.
Batch download open-access PDFs by DOI using legitimate OA APIs (Unpaywall, PMC, OpenAlex, Crossref). Optional PDF→Markdown conversion for token-efficient LLM analysis.
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Domain expertise for Ai2 Asta MCP tools (Semantic Scholar corpus). Intent-to-tool routing, safe defaults, workflow patterns, and pitfall warnings for academic paper search, citation traversal, and author discovery.
함수형 에이전트를 사용하면 사용자 입력을 처리하고, LLM과 상호작용하며, 필요한 경우 도구를 호출하고, 최종 출력을 생성하는 로직을 하나의 함수로 구현합니다.
Apple firmware and binary reverse engineering with the ipsw CLI tool. Use when analyzing iOS/macOS binaries, disassembling functions in dyld_shared_cache, dumping Objective-C headers from private frameworks, downloading IPSWs or kernelcaches, extracting entitlements, analyzing Mach-O files, or researching Apple security. Triggers on requests involving Apple RE, iOS internals, kernel analysis, KEXT extraction, or vulnerability research on Apple platforms.
Implements Syncfusion .NET MAUI Busy Indicator (SfBusyIndicator) for showing loading states, data processing, and app activity indicators. Use when displaying loading indicators, busy animations, activity spinners, or processing feedback in .NET MAUI apps. Covers busy indicator setup, animations, and visual feedback during long-running operations.
Implements and customize Syncfusion .NET MAUI Funnel Charts (SfFunnelChart). Use when implementing funnel charts, sales funnel visualization, conversion funnel analysis, process stage visualization, or marketing funnel tracking. Covers funnel chart implementation, customization, data labels, legends, tooltips, segment spacing, and orientation.
Implements Syncfusion .NET MAUI Kanban Board (SfKanban) control. Use when implementing kanban boards, task management visualizations, workflow tracking, or agile boards in .NET MAUI applications. Covers installation, data binding with default and custom models, card customization, column configuration, workflow transitions, and drag-and-drop events.
Implements Syncfusion .NET MAUI Linear Gauge (SfLinearGauge) for data visualization with scales, pointers, and ranges. Use when creating linear gauges, displaying measurements on linear scales, showing progress indicators, or building thermometer-style visualizations. Covers gauge pointer configuration, bar pointers or shape markers, draggable gauge pointers, and animated gauge transitions.
Implements Syncfusion .NET MAUI Linear ProgressBar (SfLinearProgressBar) control. Use when working with progress bars, progress indicators, loading indicators, determinate/indeterminate progress, or buffer progress visualization. Covers progress tracking, multi-segment progress, animated progress, and gradient progress bars.
Implements Syncfusion .NET MAUI ListView (SfListView). Use when displaying lists or collections of data in MAUI applications, implementing data grids, creating scrollable item lists, or adding sorting/filtering/grouping. Covers item selection, layout customization, swipe actions, pull-to-refresh, load more, and drag-drop items.
Implements Syncfusion .NET MAUI Polar Charts (SfPolarChart) for visualizing data in polar coordinates. Use when working with polar charts, radar charts, spider charts, web charts, or circular data visualization. Ideal for displaying data in terms of values and angles, creating line or area series in polar layouts, or comparing multiple data series radially.
Implements Syncfusion .NET MAUI Pyramid Chart (SfPyramidChart) for visually representing hierarchical, proportional, and parts-to-whole data using pyramid-shaped segments. Use this for pyramid charts, hierarchical data visualization, proportional data display, or segment-based charts. This skill covers installation, data binding, legends, tooltips, data labels, appearance customization, and gradients.
Implements Syncfusion .NET MAUI Shimmer (SfShimmer) loading placeholder effects. Use when implementing shimmer or skeleton loading animations, loading placeholders, or content loading indicators in .NET MAUI apps. Covers shimmer types (CirclePersona, Article, Feed, Shopping), custom shimmer views, wave animation, and customization.
Implements Syncfusion .NET MAUI StepProgressBar (SfStepProgressBar) control. Use when implementing step progress visualization, multi-step process tracking, or sequential progress indication. This skill covers step appearance customization, step states (completed/in-progress/not-started), orientation options, tooltips, and accessibility for order tracking, registration forms, or checkout processes.
Implements Syncfusion .NET MAUI Sunburst Chart (SfSunburstChart) for hierarchical data visualization using a radial, multi-level circular layout. Use this for sunburst charts, radial hierarchical charts, multi-level pie charts, or hierarchical data visualization with drill-down capabilities. Ideal for visualizing organizational structures, file systems, or nested categorical data.
Implements Syncfusion .NET MAUI TreeMap (SfTreeMap) for visualizing hierarchical data with rectangles sized and colored by values. Use when implementing hierarchical data visualization, heat maps, squarified layouts, multi-level data grouping, or brush settings for hierarchical displays. This skill covers installation, data binding, layout types, hierarchical levels with GroupPath, legend configuration, tooltips, and TreeMap customization.
Implements and customize Syncfusion .NET MAUI TreeView (SfTreeView) for displaying hierarchical data structures. Use when working with TreeView, hierarchical data display, tree structures, organizational charts, nested data, expand/collapse nodes, file explorer UI, folder structures, parent-child relationships, or multi-level data visualization in .NET MAUI applications.
Builds distinctive, production-grade UIs that avoid generic AI aesthetics. Use whenever the user wants to build, restyle, or give visual direction to any interface — pages, dashboards, landing pages, components, onboarding flows, mobile screens, or design systems — even without an explicit 'design' request. Also triggers for: picking an aesthetic direction, improving the look of a dull/generic existing page, adding visual personality, or choosing colors/typography. Includes a bundled design intelligence database for concrete guidance across web (React, Next.js, Vue, Tailwind) and mobile (React Native, Flutter, SwiftUI).
Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.
Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.
6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.