Loading...
Loading...
Found 6,268 Skills
Interact with the Denser Retriever API to build and query knowledge bases. Use this skill whenever the user wants to create a knowledge base, upload documents (files or URLs), search/query a knowledge base, list or delete knowledge bases or documents, check document processing status, or check account usage/balance. Also trigger when the user mentions 'denser retriever', 'knowledge base', 'document search', 'semantic search', 'RAG pipeline', or wants to index and search their files.
Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.
Play Yoink capture-the-flag game on Base - yoink the flag, check scores, compete for trophy
Use when starting a Next.js Pages Router to App Router migration, evaluating migration feasibility, or auditing codebase readiness. Run this BEFORE any other migration skill.
Generate database ER diagrams from schema for documentation
Enterprise role-based access control for Granola. Use when configuring user roles, setting permissions, or implementing access control policies. Trigger with phrases like "granola roles", "granola permissions", "granola access control", "granola RBAC", "granola admin".
Scan a codebase to detect languages, frameworks, CI/CD pipelines, package managers, and tools, then generate and insert shields.io badges into the README with correct icons, brand colors, and live data endpoints. Use when adding badges, updating badges, removing badges, improving README appearance, adding shields, adding CI status badges, or making a README look more professional. NOT for README content writing, documentation generation, or CI/CD setup.
Teaches learners to extract transferable design lessons from real-world codebases through critical evaluation and systematic exploration. Use when a learner wants to study existing code to learn patterns, architecture, or design decisions—not just understand what it does. Guides through navigation, pattern recognition, critical evaluation (deliberate choice vs. compromise), and lesson extraction. Triggers on phrases like "learn from this codebase", "study how X is implemented", "understand design patterns in Y", or when a learner wants to improve by reading real code.
Generación de materiales de incorporación: setup local, mapa del codebase, plan de primera semana, guía del equipo.
Write, audit, and improve AGENTS.md files for AI coding agents. Use when creating or improving agent context for a codebase.
Execute tasks through competitive multi-agent generation, multi-judge evaluation, and evidence-based synthesis
Hypothesis-driven deep research swarm. Spawns specialist sub-agents to investigate a task across codebase patterns, web sources, MCP tools, installed skills, and project dependencies — with evidence grading and adversarial challenge. Activates on: research, investigate, discover, deep research, how should I, what's the best way, explore options, analyze approaches, scout, prior art, feasibility.