Deterministic custom subagent selection helper. Use when you need a reproducible, auditable decision on which custom subagents to activate for a user query (runs scripts/agent_evaluator.py).
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 →Deterministic custom subagent selection helper. Use when you need a reproducible, auditable decision on which custom subagents to activate for a user query (runs scripts/agent_evaluator.py).
' Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems'
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
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.
Validate agent YAML frontmatter and configuration. Use before committing agent changes or in CI.
Imported skill agent from langchain
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
Build stateful AI agents using the Cloudflare Agents SDK. Load when creating agents with persistent state, scheduling, RPC, MCP servers, email handling, or streaming chat. Covers Agent class, AIChatAgent, state management, and Code Mode for reduced token usage.
Set up machine authentication by uploading a public key for self-hosted infrastructure. Requires authentication. Use for managing authentication credentials
Download files from a sandbox as a compressed archive. Requires authentication. Use for Agentuity cloud platform operations
Upload a compressed archive to a sandbox and extract it. Requires authentication. Use for Agentuity cloud platform operations
Download a file using security copy. Requires authentication. Use for Agentuity cloud platform operations
Upload a file using security copy. Requires authentication. Use for Agentuity cloud platform operations
Download a file from storage bucket. Requires authentication. Use for Agentuity cloud platform operations
Upload a file to storage bucket. Requires authentication. Use for Agentuity cloud platform operations
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）**：
Multi-turn conversational AI for intent extraction, clarification, and generation readiness detection. Guides users through articulating creative intent with structured parameter extraction.
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-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.
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.
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.
Эксперт Airbyte. Используй для настройки ETL/ELT пайплайнов, коннекторов, синхронизации данных и data pipelines.
Airflow adapter pattern for v2/v3 API compatibility
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
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
Connect to any Airtable base by name. Load when user mentions 'airtable', 'connect airtable', 'setup airtable', 'query [base-name]', 'add to [table]', 'airtable bases', or any base name from persistent context. Meta-skill that discovers workspace, caches schemas, and routes to appropriate operations.
Terminal emulation library from Alacritty for VT100/xterm compatible terminal embedding
Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored)
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.
Deep attachment analysis with extraction, importance classification, and content analysis for emails and threads.
Quick single email analysis - read metadata, content summary, and list attachments without extracting them.
Analyze a GitHub issue and create detailed analysis in workflows/
LLM-based architectural analysis that transforms raw project data into meaningful structure
Adds visual descriptions to transcripts by extracting and analyzing video frames with ffmpeg. Creates visual transcript with periodic visual descriptions of the video clip. Use when all files have audio transcripts present (transcript) but don't yet have visual transcripts created (visual_transcript).
Use when analyzing another branch's iteration journals to extract findings, decisions, and insights from divergent work
Use when implementing MVVM, clean architecture, dependency injection with Hilt, or structuring Android app layers.
android-conventions
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.