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Found 911 Skills
Comprehensive SAP ABAP CDS (Core Data Services) reference for data modeling, view development, and semantic enrichment. Use when creating CDS views or view entities in ABAP, defining data models with annotations (@AbapCatalog, @AccessControl, @EndUserText, @Semantics, @UI, @Consumption, @ObjectModel), working with associations and cardinality, implementing input parameters, using built-in functions (string, numeric, date/time), writing CASE expressions and conditional logic, implementing access control with DCL (Data Control Language), handling CURR/QUAN data types with reference fields, troubleshooting CDS errors (SD_CDS_ENTITY105), querying CDS views from ABAP, or displaying data with SALV IDA. Covers ABAP 7.4+ through ABAP Cloud with production-tested patterns. Keywords: ABAP CDS, Core Data Services, CDS view, CDS view entity, define view, define view entity, DDL, Data Definition Language, DCL, Data Control Language, annotations, @AbapCatalog, @AccessControl, @EndUserText, @Semantics, @UI, @Consumption, @ObjectModel, @Metadata, associations, cardinality, TO ONE, TO MANY, path expressions, input parameters, WITH PARAMETERS, built-in functions, CASE expression, CAST, session variables, $session, aggregate functions, GROUP BY, HAVING, joins, INNER JOIN, LEFT OUTER JOIN, access control, DEFINE ROLE, pfcg_auth, authorization, SALV IDA, cl_salv_gui_table_ida, Eclipse ADT, ABAP Development Tools, CDS annotations, Fiori Elements, OData, RAP, ABAP RESTful Application Programming Model, currencyCode, unitOfMeasure, SD_CDS_ENTITY105
Open markdown files in a formatted viewer panel with live reload. Use when you need to display plans, documentation, or notes alongside the terminal with rich rendering (headings, code blocks, tables, lists).
Docker best practices for VPS deployments in 2026. Use this skill when writing Dockerfiles, docker-compose.yml, or managing containers on a Linux VPS. Covers multi-stage builds, uv-based Python images, Xvfb/virtual display containers, volume management, security hardening, and service orchestration with Docker Compose v2. NEVER use legacy docker-compose v1 (hyphenated), old Python base images, or root containers.
Run a comprehensive SEO audit — keyword research, on-page analysis, content gaps, technical checks, and competitor comparison. Use when assessing a site's SEO health, when finding keyword opportunities and content gaps competitors own, or when you need a prioritized action plan split into quick wins and strategic investments.
Convert sequence frame images or Sprite Sheets into high-quality GIF animations. Supports custom FPS, layout splitting, and loop playback.
AIWorkflowOrchestratorの正本仕様を `references/` から検索・参照・更新するスキル。 resource-map / quick-reference / topic-map / keywords を起点に、必要最小限の文書だけを段階的に読む。 用途: 要件確認、設計/API/IPC契約確認、UI/状態管理/セキュリティ判断、task-workflow・lessons-learned・未タスク同期。 特に safeInvoke timeout、settings bypass、skill lifecycle、global nav、Skill Center / Workspace / Agent / Skill Creator の導線再編を扱う。 Anchors: • Specification-Driven Development / 適用: 正本仕様同期 / 目的: 実装-仕様整合の維持 • Progressive Disclosure / 適用: resource-map起点読込 / 目的: 必要最小限参照で漏れ防止 Trigger: 仕様確認, 仕様更新, task-workflow同期, lessons-learned同期, UI仕様反映, API/IPC契約確認, セキュリティ要件確認, safeInvoke, timeout, settings bypass, skill lifecycle, Skill Center, Workspace, Agent, Skill Creator, navContract, GlobalNavStrip, MobileNavBar, SkillManagementPanel, line budget reform, spec splitting, family split, generated index sharding
Use this skill when managing cmux terminal panes, surfaces, and workspaces from Claude Code or any AI agent. Triggers on spawning split panes for sub-agents, sending commands to terminal surfaces, reading screen output, creating/closing workspaces, browser automation via cmux, and any task requiring multi-pane terminal orchestration. Also triggers on "cmux", "split pane", "new-pane", "read-screen", "send command to pane", or subagent-driven development requiring isolated terminal surfaces.
Design and deploy multi-canister dapps. Covers inter-canister calls, canister factory pattern, async messaging pitfalls, bounded vs unbounded wait, and 2MB payload limits. Use when splitting an app across canisters, making inter-canister or cross-canister calls, or designing canister-to-canister communication. Do NOT use for single-canister apps.
Bulk engineering approaches, tools, and implementation strategies for mass-generating PLC/DCS control logic, HMI displays, and I/O configurations from engineering databases. Use when planning or implementing automation of DCS engineering workflows.
Query real-time weather and send reminders in a friendly colleague-like tone. Automatically detect IP location, display weather cards along with thoughtful chat messages. This skill should be triggered when users mention terms such as "weather", "Do I need an umbrella?", "Will it rain?", "Is it cold outside?", "Tomorrow's weather", or any topics related to outdoor outfits and weather conditions. It can also be used even when users casually mention the weather. Supports overriding the location via the WEATHER_CITY environment variable.
PUA Shot — v2 Original Concentrated Version (449 lines full injection), the complete single-file version before splitting, with the strongest flavor. Zero dependencies and zero references, injects all content into the context at once. Suitable for sub-agent injection, scenarios requiring the strongest PUA effect, or those who don't want progressive loading. Triggers on: '/pua:shot', '/pua shot', 'PUA Concentrate', 'Shot Mode', 'Max PUA', 'Full Injection'. Also great for injecting into sub-agents via Read tool since it's self-contained.
Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.