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.

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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 skills from GitHub to an existing workflow and update all related documentation.

Add a new outgoing WebSocket action with typed payload and API exposure

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

description: Automatically load and apply relevant ADRs when creating or modifying resources

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

advanced-features-2025

Probability, moments/tails, Bayes, and statistical learning foundations for systematic trading.

Factor modeling and portfolio construction (Markowitz, Black-Litterman, constraints, turnover).

Tail risk, EVT, regularization, validation guardrails, and common pitfalls.

Download and transcribe videos from YouTube, Bilibili, TikTok and 1000+ platforms. Use when user requests video download, transcription (转录/字幕提取), or converting video to text/markdown. Supports quality selection, audio extraction, playlist downloads, cookie-based authentication, and AI-powered transcription via SiliconFlow API (免费转录).

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.

Handles SEO requirements for all web content including blogs, landing pages, and documentation. Covers LD+JSON schema.org structured data, internal backlinks strategy, further reading sections, meta tags, and Open Graph. Use when creating or editing any public-facing web content, blog posts, or pages that need search visibility.

**Roadmap Tracker** - Automated 1M€ 18-Month Business KPI Tracking

Detects and analyzes agent chain anti-patterns where agents invoke other agents sequentially causing massive context load

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.

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

Capture loosely structured ideas, enrich with research, and create backlog issues. Use when user has a raw concept that needs fleshing out.

Analyze incoming content (text, files, folders, URLs) to extract purpose, create summaries, and identify potential value for the current project.

Agent Selector Skill

Intelligent financial management skill for Claude Code that provides comprehensive PocketSmith API integration with AI-powered analysis, transaction categorization, rule management, tax intelligence, and scenario planning. Use when working with PocketSmith data for (1) Transaction categorization and rule management, (2) Financial analysis and reporting, (3) Australian tax compliance (ATO) and deduction tracking, (4) Scenario analysis and forecasting, (5) PocketSmith setup health checks, (6) Budget optimization and spending insights.

Use this skill in the scenario of intelligent agent application development.

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

Aggregate and summarize event datasets (logs) using OPAL statsby. Use when you need to count, sum, or calculate statistics across log events. Covers make_col for derived columns, statsby for aggregation, group_by for grouping, aggregation functions (count, sum, avg, percentile), and topk for top N results. Returns single summary row per group across entire time range. For time-series trends, see time-series-analysis skill.

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

Expert in building comprehensive AI systems, integrating LLMs, RAG architectures, and autonomous agents into production applications. Use when building AI-powered features, implementing LLM integrations, designing RAG pipelines, or deploying AI systems.

AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.

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

Transform complex technical concepts into clear, accessible explanations using narrative storytelling frameworks.

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

aico-frontend-style-extraction

Эксперт Airbyte. Используй для настройки ETL/ELT пайплайнов, коннекторов, синхронизации данных и data pipelines.

Create Apache Airflow DAGs for construction data pipelines. Orchestrate ETL, validation, and reporting workflows.

Expert-level Apache Airflow orchestration, DAGs, operators, sensors, XComs, task dependencies, and scheduling

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

Terminal emulation library from Alacritty for VT100/xterm compatible terminal embedding

Build effective alerts and dashboards based on SLOs.

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.

Create dashboards with KPIs and real-time metrics.

Analytics and data analysis workflow skill

Deep attachment analysis with extraction, importance classification, and content analysis for emails and threads.