Search Results for "Code Models" | AgentCC

pict-test-designer

Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Outputs the PICT model, markdown table of test cases, and expected results.

playwright-best-practices

Provides Playwright test patterns for resilient locators, Page Object Models, fixtures, web-first assertions, and network mocking. Must use when writing or modifying Playwright tests (.spec.ts, .test.ts files with @playwright/test imports).

codex

Executes OpenAI Codex CLI for code analysis, refactoring, and automated editing. Activates when users mention codex commands, code review requests, or automated code transformations requiring advanced reasoning models.

fastapi-code-review

existential-birds

Reviews FastAPI code for routing patterns, dependency injection, validation, and async handlers. Use when reviewing FastAPI apps, checking APIRouter setup, Depends() usage, or response models.

data-modeling

melodic-software

Use when designing data models, database schemas, or choosing between modeling approaches. Covers dimensional modeling, star schema, data vault, entity-relationship design, and schema evolution.

authorization-models

melodic-software

Comprehensive authorization guidance covering RBAC, ABAC, ACL, ReBAC, and policy-as-code patterns. Use when designing permission systems, implementing access control, or choosing authorization strategies.

agent-expert-creation

melodic-software

Create specialized agent experts with preloaded domain knowledge using the Act-Learn-Reuse pattern. Use this when building domain-specific agents that maintain mental models through expertise files and self-improvement prompts.

expertise-file-design

melodic-software

Design YAML expertise file structures for agent experts. Use when creating mental models for domain-specific agents, defining expertise schema, or structuring knowledge for Act-Learn-Reuse workflows.

gemini-exploration-patterns

melodic-software

Strategic patterns for codebase exploration using Gemini's large context window. Covers token thresholds, model routing, and exploration strategies. Use when deciding between Claude and Gemini for exploration, analyzing large codebases, or choosing between Flash and Pro models for context size.

rag-architecture

melodic-software

Retrieval-Augmented Generation (RAG) system design patterns, chunking strategies, embedding models, retrieval techniques, and context assembly. Use when designing RAG pipelines, improving retrieval quality, or building knowledge-grounded LLM applications.

AI Code Security

Security vulnerabilities in AI-generated code and LLM applications, covering OWASP Top 10 for LLMs, secure coding patterns, and AI-specific threat models. Use when "ai code security, llm vulnerabilities, ai generated code review, owasp llm, secure ai development, security, ai, llm, owasp, code-review, vulnerabilities" mentioned.

Python Craftsman

Python excellence specialist for type safety, async patterns, packaging, and idiomatic production code. Use when "python development, type hints, async python, pydantic models, python packaging, mypy errors, python project structure, dependency management, python, type-hints, async, pydantic, packaging, uv, poetry, mypy, ruff, ml-memory" mentioned.

dbt-migration-snowflake

Convert Snowflake DDL to dbt models. This skill should be used when converting views, tables, or stored procedures from Snowflake to dbt code, generating schema.yml files with tests and documentation, or migrating existing Snowflake SQL to follow dbt best practices.

dbt-migration-postgres

Convert PostgreSQL/Greenplum/Netezza DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from PostgreSQL, Greenplum, or Netezza to dbt code, generating schema.yml files with tests and documentation, or migrating PostgreSQL SQL to follow dbt best practices.

dbt-migration-oracle

Convert Oracle DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from Oracle to dbt code, generating schema.yml files with tests and documentation, or migrating Oracle PL/SQL to follow dbt best practices.

dbt-migration-validation

Comprehensive validation skill for dbt models and schema YAML files. Defines validation rules, common anti-patterns to detect, and auto-fix suggestions. Integrates with Claude Code hooks to enforce quality standards during migration.

dbt-migration-vertica

Convert Vertica DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from Vertica to dbt code, generating schema.yml files with tests and documentation, or migrating Vertica SQL to follow dbt best practices.

model-provider-setup

Configure Claude Code to use alternative AI model providers by setting up custom API endpoints and authentication. Use this skill when users want to switch from default Anthropic models to providers like Z.AI, OpenRouter, or other custom endpoints with compatible APIs.

dbt-migration-teradata

Convert Teradata DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from Teradata to dbt code, generating schema.yml files with tests and documentation, or migrating Teradata SQL to follow dbt best practices.

dbt-migration-ms-sql-server

Convert Microsoft SQL Server/Azure Synapse T-SQL DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from SQL Server to dbt code, generating schema.yml files with tests and documentation, or migrating T-SQL to follow dbt best practices.

dbt-migration-db2

Convert IBM DB2 DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from DB2 to dbt code, generating schema.yml files with tests and documentation, or migrating DB2 SQL to follow dbt best practices.

dbt-migration-sybase

Convert Sybase IQ DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from Sybase IQ to dbt code, generating schema.yml files with tests and documentation, or migrating Sybase SQL to follow dbt best practices.

dbt-migration-bigquery

Convert Google BigQuery DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from BigQuery to dbt code, generating schema.yml files with tests and documentation, or migrating BigQuery SQL to follow dbt best practices.

dbt-migration-hive

Convert Hive/Spark/Databricks DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or UDFs from Hive, Spark, or Databricks to dbt code, generating schema.yml files with tests and documentation, or migrating HiveQL to follow dbt best practices.

dbt-migration-redshift

Convert Amazon Redshift DDL to dbt models compatible with Snowflake. This skill should be used when converting views, tables, or stored procedures from Redshift to dbt code, generating schema.yml files with tests and documentation, or migrating Redshift SQL to follow dbt best practices.

dhh-coder

majesticlabs-dev

Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, building Rails applications, creating models, controllers, or any Ruby file. It triggers for Ruby/Rails code generation, refactoring requests, or when the user references DHH, 37signals, Basecamp, HEY, Fizzy, or Campfire style.

django-coder

majesticlabs-dev

Build Django applications with models, views, forms, templates, REST APIs, and modern Django 5.x patterns.

pathml

Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.

blockrun

Use when the user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek"). For Antigravity users, also use when credits are exhausted, the user is stuck in refactoring loops, or a second opinion on Gemini's code is needed.

ai-cross-verifier

Cross-verify Claude-generated plans and code using OpenAI Codex and Google Gemini CLI. Provides code review, plan validation, and comparative analysis. Use when you need a second opinion on Claude’s code or plans, validate technical decisions, or seek consensus from multiple AI models.

ai-artist

Write and optimize prompts for AI-generated outcomes across text and image models. Use when crafting prompts for LLMs (Claude, GPT, Gemini), image generators (Midjourney, DALL-E, Stable Diffusion, Imagen, Flux), or video generators (Veo, Runway). Covers prompt structure, style keywords, negative prompts, chain-of-thought, few-shot examples, iterative refinement, and domain-specific patterns for marketing, code, and creative writing.

cosmosdb-best-practices

Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, and SDK usage. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operations.

grey-haven-evaluation

Evaluate LLM outputs with multi-dimensional rubrics, handle non-determinism, and implement LLM-as-judge patterns. Essential for production LLM systems. Use when testing prompts, validating outputs, comparing models, or when user mentions 'evaluation', 'testing LLM', 'rubric', 'LLM-as-judge', 'output quality', 'prompt testing', or 'model comparison'.

grey-haven-data-modeling

Design database schemas for Grey Haven multi-tenant SaaS - SQLModel models, Drizzle schema, multi-tenant isolation with tenant_id and RLS, timestamp fields, foreign keys, indexes, migrations, and relationships. Use when creating database tables.

gemini

Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.

recursive-decomposition

Based on the Recursive Language Models (RLM) research by Zhang, Kraska, and Khattab (2025), this skill provides strategies for handling tasks that exceed comfortable context limits through programmatic decomposition and recursive self-invocation. Triggers on phrases like "analyze all files", "process this large document", "aggregate information from", "search across the codebase", or tasks involving 10+ files or 50k+ tokens.

generic-fullstack-feature-developer

Guide feature development for full-stack applications with architecture focus. Covers Next.js App Router patterns, NestJS backend services, database models, data workflows, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.

sqlalchemy-postgres

Expert guidance for SQLAlchemy 2.0 + Pydantic + PostgreSQL. Use when setting up database layers, defining models, creating migrations, or any database-related work. Automatically activated for DB tasks.

modal

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

dipeo-codegen-pipeline

Router skill for DiPeO code generation pipeline (TypeScript specs → IR → Python/GraphQL). Use when task mentions TypeScript models, IR builders, generated code diagnosis, or codegen workflow. For simple tasks, handle directly; for complex work, escalate to dipeo-codegen-pipeline agent.

dipeo-package-maintainer

Router skill for DiPeO runtime Python code (execution handlers, service architecture, domain models, LLM infrastructure). Use when task mentions node handlers, EventBus, ServiceRegistry, Envelope pattern, or domain logic. For simple tasks, handle directly; for complex work, escalate to dipeo-package-maintainer agent.

security-patterns

thapaliyabikendra

Web application security patterns including STRIDE threat modeling, OWASP Top 10 compliance, ABP authorization, and security audit procedures. Use when: (1) conducting security audits, (2) implementing authentication/authorization, (3) creating threat models, (4) reviewing code for vulnerabilities.

agentpipe

Multi-agent orchestration tool for running conversations between AI agents (Claude, Gemini, Codex, Qwen, etc.). Use when tasks benefit from multiple perspectives, code review by different models, or collaborative problem-solving.

typescript-advanced-patterns

Advanced TypeScript patterns for type-safe, maintainable code using sophisticated type system features. Use when building type-safe APIs, implementing complex domain models, or leveraging TypeScript's advanced type capabilities.

Consultant

Consults external AI models (100+ via LiteLLM) for complex analysis. Use for architectural reviews, security audits, deep code understanding, or whenever extended reasoning is required. Runs asynchronously with session management.

ask-council

Multi-model ensemble consultation. Runs 3 models in parallel for diverse perspectives.

Duplicate Observed Data

Synchronize data between domain and UI models by using Observer pattern to automatically update the UI when domain model changes, eliminating data duplication

blender-3d-modeling

Create 3D models procedurally with Blender Python. Use when the user wants to generate meshes from code, build geometry with bmesh, apply modifiers, create parametric shapes, procedural landscapes, grids, curves, or any programmatic 3D modeling in Blender.