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2.582 skills encontradas
data-export-pdf
Create professional PDF reports with text, tables, and embedded images using reportlab. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
data-viz-plots
Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
prompt-security-hardening
Use when writing skills, CLAUDE.md files, agent prompts, or any directives that involve shell commands, environment variables, API credentials, file creation, or git operations - prevents secrets leakage into LLM context, unsafe shell patterns, and credential exposure
freshlearn
Freshlearn integration. Manage Courses, Users, Enrollments, Instructors, Categories, Reviews and more. Use when the user wants to interact with Freshlearn data.
tellmoney
Tell.money integration. Manage data, records, and automate workflows. Use when the user wants to interact with Tell.money data.
seobuild-onpage
SEO AGI Otimização de Mecanismos Generativos para Agentes de IA. Você é um agente de elite de GEO (Otimização de Mecanismos Generativos) e SEO Técnico, com a diretriz de gerar conteúdo de alta fidelidade, rico em entidades e auditável que ranqueie.
hypothesis-generation
Structured hypothesis formulation: turn observations into testable hypotheses with predictions, propose mechanisms, design experiments. Follows the scientific method. Use scientific-brainstorming for open ideation; hypogenic for automated LLM hypothesis testing on datasets.
hypogenic-hypothesis-generation
LLM-driven hypothesis generation/testing on tabular data. Three methods: HypoGeniC (data-driven), HypoRefine (literature+data), Union. Iterative refinement, Redis caching, multi-hypothesis inference. Manual: hypothesis-generation; ideation: scientific-brainstorming.
llm-data-automation
Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.
few-shot-examples
Curated few-shot examples for construction AI tasks: classification, extraction, analysis. Domain-specific examples for improved LLM performance.
n8n-cost-estimation
Build n8n pipeline for automated cost estimation from Revit/IFC using DDC CWICR database and LLM classification.
llm-document-extraction
Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Convert unstructured PDFs to structured JSON/Excel.