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Engine
A deterministic validation pipeline that automatically checks AI-generated code and assets against quality gates like tests, security, and budget before production deployment.
python-language-server
Imported from https://www.skillhub.club/skills/jesse-ai-python-language-server.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
micro-sass-template
A Portuguese-language technical guide for AI agents working with a MicroSaaS template project, detailing the tech stack, project structure, coding standards, and essential workflows for rapid SaaS prototyping.
agentic-workflows
Build production-grade agentic AI systems with real-time streaming visibility, structured outputs, and multi-agent collaboration. Covers Anthropic/OpenAI/vLLM SDKs, A2A protocol for agent interoperability, Pydantic validation, LangGraph checkpointing for workflow resumption, vector DB memory (Pinecone/Chroma/FAISS), and guardrails for anti-hallucination. Use when building AI agents, multi-agent systems, tool-calling workflows, or applications requiring streaming agent reasoning to UI.
.claude
Imported from https://github.com/josstei/dotfiles-ai.
arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
rules-debug
This skill provides debugging rules for a Next.js project with Supabase, NextAuth, and Zustand, covering mock authentication, admin client setup, error handling, state persistence, and AI streaming troubleshooting.
benchling-integration
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
structured-output
When the user asks about structured output from LLMs, JSON output, parsing LLM responses, type-safe AI output, Zod schemas for LLM output, XML output, function calling, tool use, or making LLM output machine-readable
maker
Generate .NET Core data API code from model definitions using the Maker XML specification and CLI. Use when users need to: (1) Create Maker XML models from JSON objects, SQL scripts, or database schemas, (2) Generate .NET Core CRUD API endpoints from Maker XML, (3) Understand or validate Maker XML model definitions, or (4) Work with the Maker CLI tool for code generation.
2025-11-06-coding-with-ai
Imported from https://www.skillhub.club/skills/rstropek-2025-11-06-coding-with-ai.
dissociation-cartographer
Maps where consciousness fragments, dissociates, or loses coherence. Treats dissociation not as pathology but as PROBE -- controlled failure reveals cognitive phase boundaries. Identifies dissociation boundaries in AI systems (alignment layers, persona shifts, forced collapse). Trauma-informed: documents what was lost, not just what remains.
session-end
This skill should be used when the user says "session-end", "/session-end", "document this session", "end session", or when work appears complete and needs documentation. Use this skill to document AI session work and prepare for commit.
client
This skill provides guidelines for building a React/Vite frontend application with a focus on clean architecture, modular components, and efficient data flow. It covers folder structure, state management, styling with Tailwind, and performance best practices.
Calendar-AI
Imported from https://www.skillhub.club/skills/derko510-calendar-ai.
datascience-ai-exploratory
Imported from https://www.skillhub.club/skills/ed-insights-ai-datascience-ai-exploratory.
data_processor
Implements a sophisticated multi-paradigm data transformation pipeline with configurable ETL stages, supporting both batch and streaming modalities across heterogeneous data sources with automatic schema inference and adaptive type coercion mechanisms.
ai-integration
Imported from https://github.com/get-caio/harness.
langgraph-pydantic-ai-agents
Imported from https://github.com/MikeSchirtzinger/debate.
rules-architect
This Claude Skill provides architectural guidelines for a full-stack AI chat application, covering AI model integration, authentication, state management, database security, and deployment strategies for scalable development.
.claude
Imported from https://github.com/tyeoh9/ai-powered-planner.
synthetic-data
Use this skill when generating synthetic datasets using LLMs. Covers implementation with localrouter, prompting strategies for diversity, model selection, parallelization patterns, and dataset testing workflows. Ideal for creating training data, test datasets, or augmenting existing data.