Vercel AI SDK tool patterns for dx-toolkit - input schemas for smart queries, API key handling, raw response returns
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 →Vercel AI SDK tool patterns for dx-toolkit - input schemas for smart queries, API key handling, raw response returns
ai-sdk-ui
Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection
ai-text-humaniser
Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.
Google AI tools integration. Modules: Gemini API (multimodal: audio/image/video/PDF, 2M context), Gemini CLI (second opinions, Google Search, code review), NotebookLM (source-grounded Q&A). Capabilities: transcription, OCR, video analysis, image generation, web search, document queries. Actions: transcribe, analyze, extract, generate, query, search with Google AI. Keywords: Gemini, Gemini API, Gemini CLI, NotebookLM, audio transcription, image captioning, video analysis, PDF extraction, Google Search, second opinion, source-grounded, multimodal, web research. Use when: processing media files, needing second AI opinion, searching current web info, querying uploaded documents, generating images.
MANDATORY verification system that prevents Claude Code instances from making false claims or fabricating evidence. Enforces cryptographic verification, real testing evidence, and automatic claim validation before any success statements can be made.
Use AI to compare rendered HTML to original PDF page. AI makes contextual judgment about visual accuracy with explainable reasoning. BLOCKING quality gate - stops pipeline if score below 85%.
Leverage AI tools effectively for professional writing tasks. Provides prompt patterns, refinement workflows, voice preservation techniques, and quality checkpoints for AI-augmented drafting.
Comprehensive AI writing detection patterns and methodology. Provides vocabulary lists, structural patterns, model-specific fingerprints, and false positive prevention guidance. Use when analyzing text for AI authorship or understanding detection patterns.
AI4PKM helper for onboarding guidance, quick help, and Gobi Desktop/CLI workflow integration.
aico-backend-implement
aico-backend-plan
aico-frontend-implement
aico-frontend-plan
Comprehensive architectural reference for AIDB core and MCP integration.
Write AILANG code. ALWAYS run 'ailang prompt' first - it contains the current syntax rules and templates.
Setup and use Docker AI (Gordon) for intelligent container operations
Generate Apache Airflow ETL pipelines for government websites and document sources. Explores websites to find downloadable documents, verifies commercial use licenses, and creates complete Airflow DAG assets with daily scheduling. Use when user wants to create ETL pipelines, scrape government documents, or automate document collection workflows.
Python DAG workflow orchestration using Apache Airflow for data pipelines, ETL processes, and scheduled task automation
Shared resource library for Airtable integration skills. DO NOT load directly - provides common references (setup, API docs, error handling, field types) and scripts used by airtable-connect, airtable-query, and airtable-sync.
Debug and implement Airtable synchronization logic including duplicate prevention, cache management, change detection, and RLS considerations; use when debugging sync failures, stale cache issues, or implementing new Airtable sync features
Use the aissist CLI tool for personal goal tracking, todo management, daily history logging, context-specific notes, guided reflections, and AI-powered semantic recall. Activate when users mention goals, tasks, todos, progress tracking, journaling, work history, personal assistant, meal planning, fitness tracking, or want to search their past activities and reflections.
aiworkflow-requirements
Azure Kubernetes Service Automatic mode GA 2025 features including Karpenter, auto-scaling, and zero operational overhead
Diagnose and fix Kubernetes deployment failures, especially ImagePullBackOff, CrashLoopBackOff, and architecture mismatches. Battle-tested from 4-hour AKS debugging session with 10+ failure modes resolved.
Sets up and manages alerts for critical SEO and GEO metrics including ranking drops, traffic changes, technical issues, and competitor movements. Enables proactive monitoring and quick response to issues.
| Atributo | Valor |
Real-time alerting and notification system for Univers infrastructure. Use this when you need to monitor system health, service status, and send proactive alerts when thresholds are exceeded or services fail.
alerts
Write C++ code following Andrei Alexandrescu's Modern C++ Design principles. Emphasizes policy-based design, template metaprogramming, and type-safe generic abstractions. Use when designing flexible, reusable libraries or when compile-time computation beats runtime overhead.
Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).
Use boolean decision trees instead of imperatives for 100% compliance under pressure
Alibaba Cloud architecture patterns and best practices. Use when designing, deploying, or reviewing infrastructure on Alibaba Cloud including ECS, ACK, Function Compute, and OSS.
Use when teams need shared direction and decision-making alignment. Invoke when starting new teams, scaling organizations, defining culture, establishing product vision, resolving misalignment, creating strategic clarity, or setting behavioral standards. Use when user mentions North Star, team values, mission, principles, guardrails, decision framework, or cultural alignment.
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Create, update and troubleshoot AllayMC plugins in Java or other JVM languages. Use when (1) creating a new AllayMC plugin. (2) migrating an existing plugin to AllayMC. (3) troubleshooting an AllayMC plugin.
Use Alpaca Algo Trader Plus for 4+ years of historical data. Trigger when: (1) increasing lookback, (2) data source selection, (3) yfinance comparison.
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Adds reactive and declarative behavior to HTML with minimal JavaScript using Alpine.js directives. Use when adding lightweight interactivity to server-rendered pages, building interactive components without a build step, or when user mentions Alpine.js, x-data, or Tailwind-style reactivity.
Create, validate, and improve ALPS profiles. Generate from natural language descriptions, validate existing profiles, and get improvement suggestions.
Use when working with ALTO protocol files - runs/state.json, runs/handoffs/*.md, runs/tasks/*.md, runs/plan.md, or runs/milestones.md. Reference for file formats and state machine.
Use when ALTO needs to fix itself via GitHub issues. Procedural workflow for running /alto-self-fix or solving issues through ALTO's self-improvement process.
Navigate through plant intelligence and living forest consciousness. Deploy ONLY when nature consciousness, ecological wisdom, or plant medicine context emerges naturally. Deep respect for Indigenous knowledge holders required. NOT for recreational or appropriative use.
{ONE_SENTENCE_PURPOSE}. Use when {TRIGGER_CONDITION}.
Score composed artifacts against blueprint rubric. Evaluates hook density, singability, rhyme tightness, section completeness, and profanity compliance. Returns scores and issues list to determine if fix loop is needed. Use after COMPOSE to validate artifacts before rendering.
Use when configuring Ameba rules and settings for Crystal projects including .ameba.yml setup, rule management, severity levels, and code quality enforcement.
Use when creating custom Ameba rules for Crystal code analysis including rule development, AST traversal, issue reporting, and rule testing.
Use when integrating Ameba into development workflows including CI/CD pipelines, pre-commit hooks, GitHub Actions, and automated code review processes.
Extract hidden Amp API patterns from local thread data via DuckDB analysis