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.
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 →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.
[Aesthetics] Maps aesthetic briefs to cultural references: art movements, photography, film, architecture, music, fashion. Outputs reference lists with visual language analysis. Organizes findings as Image and Memo nodes in Brain canvas.
Use when improving visual quality of existing UI - applies 2025 design principles for hierarchy, spacing systems, color theory, and typography excellence to elevate aesthetic appeal and user experience
[Aesthetics] Extracts recurring visual patterns from references: contrast habits, shapes, density/whitespace balance, rhythm, textures. Produces Aesthetic Pattern Library as Data-Sheet nodes in Brain canvas.
Use when implementing Disney's 12 animation principles in Adobe After Effects
**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.
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).
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.
' 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
Use this skill in the scenario of intelligent agent application development.
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
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
Get statistics for keyvalue storage. Requires authentication. Use for Agentuity cloud platform operations
View queue analytics and statistics. Requires authentication. Use for Agentuity cloud platform operations
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
Get statistics for vector storage. Requires authentication. Use for Agentuity cloud platform operations
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.
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
Psychrometric Analysis Agent
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.
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.