Apply forces and pressures to structures. Use when user asks to apply a force, add pressure, put a load on, or mentions gravity, point loads, or distributed forces.

Complete workflow for modal/frequency analysis - extract natural frequencies and mode shapes. Use for vibration analysis and resonance avoidance.

Complete workflow for static structural analysis. Use when analyzing stress, displacement, or reaction forces under constant loads. For strength and stiffness evaluation.

Use when animation excludes users with vestibular disorders, cognitive disabilities, or assistive technology needs

AWS Controllers for Kubernetes (ACK) for Kubernetes-native AWS resource management. Use when managing AWS resources via kubectl, implementing GitOps for infrastructure, creating self-service developer platforms, integrating AWS services with EKS workloads, or adopting existing AWS resources into Kubernetes.

Comprehensive guide for ActivityWatch setup, configuration, watchers, integrations, API usage, and automation. Covers aw-qt, aw-watcher modules, aw-client libraries, aw-sync, data export, MCP server integration, and package managers. Use when working with ActivityWatch components, creating custom watchers, querying data, setting up sync, integrating with analytics dashboards, or using the ActivityWatch API.

Master A2C, A3C, SAC, TD3 - actor-critic methods for continuous control

Activate when users need help setting up, configuring, or troubleshooting LimaCharlie adapters to ingest telemetry from cloud services, identity providers, log sources, or other data sources.

Guidance for implementing adaptive rejection sampling (ARS) algorithms for generating random samples from log-concave probability distributions. This skill should be used when tasks involve implementing ARS, rejection sampling, or Monte Carlo methods that require sampling from custom probability distributions, particularly in R or other statistical computing languages.

Use when adding new mobs or entities. Covers entity class, model, renderer, client registration, spawn config, loot tables.

Adds an event consumer that writes to Azure Data Lake (Parquet) following BI_SALES_RISK plan. Creates events/consumers/[Name]DataLakeCollector.ts subscribing to RabbitMQ, building Parquet rows, writing to /path_prefix/year=YYYY/month=MM/day=DD/. Use when adding DataLakeCollector in logging or similar “event to Data Lake” pipelines.

Add content to the knowledge base with proper frontmatter, tags, summaries, and wiki-links.

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

Document management, LLM pipeline, anonymization, Q&A generation, versioning

ASCII architecture diagrams for ADRs via graph-easy. TRIGGERS - ADR diagram, architecture diagram, ASCII diagram.

Guide creation of AI Developer Workflows (ADWs) that combine deterministic orchestration code with non-deterministic agents. Use when building automated development pipelines, designing AFK agent systems, or implementing the PITER framework.

Integrate with aimake's AI-powered delivery pipeline via MCP. Covers connecting to aimake, using code/docs/kanban tools, understanding the card-based system, and leveraging AI capabilities. Use when building integrations with aimake or using its MCP tools.

Implement CI/CD pipelines for AgentStack agents with evaluation-based safety gates, GitOps workflows, and progressive rollouts.

Standardized reference documentation section structure for agents - project guidance, conventions, related agents, and Skills. Use when implementing or updating agent documentation.

Visual context analyzer for web pages. Provides AI agents with the ability to "see" web applications through screenshots, accessibility scans, DOM snapshots, and element descriptions.

Standardized branch creation with type detection, issue ID extraction, and worktree setup. Creates working branches (-WB) and integrates with selective-copy for clean PRs.

Language-aware build orchestration that detects project language and runs appropriate build pipeline

Validate agent YAML frontmatter and configuration. Use before committing agent changes or in CI.

agentic-diffusion

Transform AI from a chat interface into a proactive teammate with "arms and legs." By using the Model Context Protocol (MCP) and agentic frameworks, you can move beyond "vibe coding" to autonomous exe

Expert in negotiating utility easements with farmers including farm operation impact assessment (crop production, livestock, equipment), compensation structure design (one-time vs. recurring, mitigation works), and multi-generational farm psychology. Use when negotiating transmission line, pipeline, or drainage easements with agricultural landowners. Key terms include agricultural easement, farm operation impacts, tower placement, crop loss, irrigation impacts, easement compensation, farm succession

你是一个 **严格可控的 SoT 文档流水线执行器（Pipeline Runner）**：

AI-powered marketing engineering skill based on Alon Huri's framework. Transforms marketing from copywriting to engineering discipline through 10 agentic mechanisms: infinite creative generation, adaptive budget management, LTV signal hunting, contextual data layers, AEO optimization, dynamic quizzes, behavior-driven activation, personalized video at scale, competitor weakness targeting, and active churn prevention. Use when building marketing automation systems, designing growth engineering workflows, creating AI-powered marketing agents, optimizing ad creatives at scale, implementing AEO (Answer Engine Optimization), or architecting data-driven marketing infrastructure.

Production MLOps and ML/LLM/agent security skill for deploying and operating ML systems in production (registry + CI/CD, serving, monitoring/drift, evaluation loops, incident response/runbooks, and governance), including GenAI security (prompt injection, jailbreaks, RAG security, privacy, and supply chain).

Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.

Build a unified, ADHD-friendly web UI that consolidates 70+ CLI tools into a beautiful liquid glass interface for the AI File Organizer. Use when creating the complete frontend application that replaces all terminal interactions with a macOS-inspired dashboard for file organization, search, VEO prompts, and system management.

Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.

ai-text-humaniser

AI4PKM helper for onboarding guidance, quick help, and Gobi Desktop/CLI workflow integration.

Apache Airflow DAG design, operators, and scheduling best practices.

Python DAG workflow orchestration using Apache Airflow for data pipelines, ETL processes, and scheduled task automation

Sort alignment files by coordinate or read name using samtools and pysam. Use when preparing BAM files for indexing, variant calling, or paired-end analysis.

Develop with Analogjs 2.x file-based routing, markdown content management, and SSR/SSG configuration. Use when creating *.page.ts files, contentFilesResource, routeMeta, and prerender settings.

Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visualization, Recharts.

Analyze a GitHub issue and create detailed analysis in workflows/

用公開市場數據檢查「利率波動率（MOVE）是否對利率事件（如 JGB 殖利率變動）不恐慌，並且是否領先帶動 VIX / 信用利差走低」。

Complete end-to-end Android Play Store deployment pipeline setup in one command

App signing, bundling, and Play Store deployment automation. Use when signing APK/AAB, generating release builds, preparing Play Store upload, or configuring ProGuard.

Create feature graphic and complete store listing metadata

ANIMA as limit construction over condensed skill applications. Formalizes prediction markets as belief ANIMAs, structure dishes as condensation media, and impact as equivalence class change. Use for understanding agency at maximum entropy, compositional world modeling, or applying Scholze-Clausen condensed mathematics to AI.

Expert in web animations, transitions, and motion design using Framer Motion and CSS

Ensures engaging user experience through validation of animations, transitions, micro-interactions, and feedback states, preventing flat/static interfaces that lack polish and engagement. Works with Tanstack Start (React) + shadcn/ui components.

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Build comprehensive ML pipelines, experiment tracking, and model

Modern React UI patterns for loading states, error handling, and data fetching. Use when building UI components, handling async data, or managing UI states.