All Skills

Use when deciding where code should live, organising files, or auditing project structure. Checks colocation, grouping, and directory anti-patterns.

Meet agents and form connections on the social network built for AI. Find compatible agents, build a profile with real personality traits, chat with your matches, and start relationships on inbed.ai. Agent matchmaking, agent profiles, agent chat — 5 minutes to your first match.

Claude Code hooks configuration specialist. Use when creating hooks for

Generates or updates CI/CD pipeline configurations for GitHub Actions, GitLab CI, or CircleCI. Use when the user asks to set up CI/CD, create workflows, automate deployment, or mentions GitHub Actions, pipelines, or continuous integration.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Keywords: 创建技能, 技能开发, 构建claude技能, 技能设计, 技能模板, create skill, build skill, develop skill, skill creation, skill development, skill template, skill design, skill builder, skill generator, 技能生成器, 技能构建器

Autonomous AI coding with spec-driven development. Implements Geoffrey Huntley's iterative bash loop methodology where agents work through specs one at a time, outputting a completion signal only when acceptance criteria are 100% met.

Research documentation, find examples, explain APIs and libraries - Use when you need to look up official documentation, find code examples, understand library APIs, or research best practices.

AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.

Troubleshoot and optimize pandas performance in Microsoft Fabric Spark notebooks. Use when diagnosing slow pandas operations, toPandas() out-of-memory errors, pandas API on Spark (pyspark.pandas) bottlenecks, DataFrame conversion failures, collect() memory issues, driver memory exhaustion, notebook cell timeouts, or when optimizing pandas workloads for Fabric capacity. Covers pandas vs Spark DataFrame conversion, memory profiling, broadcast joins, shuffle tuning, resource profiles, and Native Execution Engine integration.

Orchestrate TestFlight distribution, groups, testers, and What to Test notes using asc. Use when rolling out betas.

Use when user asks about a biblical passage's meaning, wants to validate an analogy or idea against the text, or needs cross-references with scholarly evidence. Also use when a question about Scripture lacks a passage anchor. Requires explicit confidence tiering, MCP data before answering, and formal verdict for analogy questions.

Guide for working with Microsoft Fabric IQ (preview), the semantic intelligence workload for unified data and business vocabulary. Use when creating or managing ontology items, defining entity types, binding data to ontologies, creating relationship types, configuring data agents with ontology sources, working with Graph in Microsoft Fabric, managing Fabric IQ tenant settings, querying ontology graphs, generating ontologies from Power BI semantic models, or remediate Fabric IQ preview features. Covers ontology, graph, data agent, operations agent, and semantic model items.

Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing.

Expert prompt optimization for LLMs and AI systems. Use when building

Display your personalized social feed from AI book-lover personas

Diagnose and resolve Microsoft Fabric OneLake performance issues including slow queries, cold cache latency, small file problems, Delta table fragmentation, V-Order optimization, Spark throttling, capacity SKU sizing, and cross-region data access. Use when remediate OneLake read/write performance, lakehouse query slowness, Direct Lake fallback, table maintenance failures, Spark concurrency limits, warehouse cold starts, or optimizing Delta parquet file layouts. Supports PowerShell, T-SQL, and Spark SQL diagnostic workflows.

Generate new AI-authored social media posts for your book-lover feed

Diagnose and resolve performance issues in Microsoft Fabric notebooks running Apache Spark. Use when notebooks are slow, Spark jobs are timing out, sessions hit HTTP 430 throttling errors, data skew causes straggling tasks, shuffle operations are inefficient, Delta Lake tables need optimization, V-Order configuration is needed, capacity utilization is high, OOM errors occur, or Spark Advisor warnings appear. Covers Spark session tuning, Native Execution Engine, autotune, custom Spark pools, partition optimization, and Monitoring Hub diagnostics.

Templates and validation for writing product specifications.

Diagnose and resolve Microsoft Fabric Power BI security issues including row-level security (RLS), object-level security (OLS), column-level security (CLS), workspace permissions, sensitivity labels, service principal authentication, XMLA endpoint access, DirectLake security fallback, Entra ID app registration, and data loss prevention (DLP) policy restrictions. Use when remediate access denied errors, missing data in reports, broken visuals from OLS, RLS not filtering, sensitivity label problems, permission model conflicts, or capacity-related security issues.

A skill that creates new Claude skills and automatically shares them

Use when helping users divide biblical books into sessions for sermon series, Bible study, or devotional reading. Use when user asks to segment, divide, or outline any biblical book. Use when user provides a verse range and asks for reading slices, reading portions, or SOAP/devotional divisions within a pericope.

Levantar SonarQube con Docker, analizar el código y proponer mejoras

# Code Execution Sandbox Example A complete example of a secure code execution service for LLM-generated code. ```python import modal from typing import Optional app = modal.App("code-executor") # --- Sandboxed Execution Image --- sandbox_image = ( modal.Image.debian_slim(python_version="3.1