$ skills --list
Explorar y descubrir skills de agentes IA
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Explorar y descubrir skills de agentes IA
Showing 43501-43520 of 44358 skills
Linear issue tracking API via curl. Use this skill to create, update, and query issues, projects, and teams using GraphQL.
Automatically retrieve relevant information from the organization's CustomGPT.ai knowledge base when answering questions about documented topics, policies, procedures, or technical specifications.
Managing complexity is software's primary technical imperative - all other goals are secondary
This skill should be used when the user wants to adjust Claude's interaction style and personality level. It provides four distinct tone modes ranging from formal professional to casual buddy, allowing users to customize the interaction experience based on their mood, task type, or preference. Trigger when user requests a specific vibe, tone, or personality change.
Generate and update TradingView Pine Script code for visualizing options positions. Use when creating or modifying Pine scripts for options trading visualization.
Execute Jira operations including issue retrieval, creation, updates, search, and project management. Use when the user needs to interact with Jira issues, projects, boards, or perform any Jira-related tasks.
Master essential array techniques including two pointers, sliding window, and prefix sums for efficient problem solving.
Use when fetching oil/gas trade flow data from Kpler. Covers authentication, trade queries, flow aggregations, entity search, vessel positions, and company fleet data.
Create or switch to feature branches with proper naming conventions. Use when user wants to start working on a new feature, start a feature. Generates feature/branch-name patterns from descriptions, checks existence, and creates/switches accordingly.
Expert assistant for Bible reference lookups and RPC function usage in the KR92 Bible Voice project. Use when fetching Bible verses, generating verse lookups, validating references, working with OSIS format, or choosing optimal lookup patterns.
Expert knowledge of frontend JavaScript for API integration including fetch/axios patterns, async/await error handling, form validation and submission, pagination implementation, loading states, DOM manipulation, event listeners, query parameter building, and vanilla JS best practices. Use when working with public/script.js, adding UI features, debugging client-side API issues, implementing forms, or managing client-side state.
Expert skill for generating glTF 2.0 files (.gltf,.glb) from scratch using the pygltflib library. Handles complex geometry, PBR materials, and textures.
This skill should be used when the user asks about "JSON flags", "token IDs", "cross-tool references", "progressive detail", "response optimization", "human and LLM readable", "automation flags", "confidence-based detail", or discusses optimizing MCP responses for both human and machine consumption. Provides patterns for human/LLM readable responses with automation-friendly structures.
Generate high-quality, "All-Star" README files for open-source repositories. Use this skill when a user asks to create, update, or improve a README.md file for their project.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics. | Sử dụng khi: thiết kế frontend, wireframe, mockup, prototype.
Real-time stock synchronization for TSH Clients Console. Use when:(1) Debugging stock sync issues (webhooks not firing, stock not updating)(2) Understanding webhook event handling(3) Implementing stock-affecting features(4) Troubleshooting stock discrepancies between Zoho and app(5) Adding new stock-affecting transaction handlers(6) Monitoring stock sync health(7) Understanding the multi-layer sync architecture
Next.js 14+ App Router patterns, server components, and data fetching
Templates and patterns for common ML training scenarios including text classification, text generation, fine-tuning, and PEFT/LoRA. Provides ready-to-use training configurations, dataset preparation scripts, and complete training pipelines. Use when building ML training pipelines, fine-tuning models, implementing classification or generation tasks, setting up PEFT/LoRA training, or when user mentions model training, fine-tuning, classification, generation, or parameter-efficient tuning.
Build and execute semantic queries with filters, time dimensions, aggregations, and ordering in drizzle-cube. Use when querying analytics data, filtering results, working with date ranges, aggregating measures, or building reports with drizzle-cube.
SLASH COMMAND ONLY - Do NOT invoke automatically. Only runs via /test-gh-skills command. Executes Python test orchestrator for 80 tests across 6 skill groups.