LLM & Agents
6763 skills in Data & AI > LLM & Agents
devsql-querying
Query and analyze Claude Code history joined with Git data using SQL. Use when user asks about their Claude conversations, productivity patterns, commit history correlation, session analytics, or wants to explore their coding history with SQL queries.
wp-performance
Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.
codex
Invoke Codex CLI for complex coding tasks requiring high reasoning capabilities. Trigger phrases include "use codex", "ask codex", "run codex", "call codex", "codex cli", "GPT-5 reasoning", "OpenAI reasoning", or when users request complex implementation challenges, advanced reasoning, architecture design, or high-reasoning model assistance. Automatically triggers on codex-related requests and supports session continuation for iterative development.
gemini-manager
This skill should be used when the user wants Claude Code to act purely as a manager/architect while Gemini CLI does all the coding work. Claude Code drives Gemini like an intern - issuing tasks, reviewing output, requesting fixes - but never writes code itself. Use when user says "manage gemini", "architect mode", "drive gemini", or wants to delegate all implementation to Gemini.
Unnamed Skill
Advanced semantic vocabulary and architectural patterns for the OCTAVE format. REQUIRES octave-literacy to be loaded first. Use for designing agents, crafting high-density specifications, or system architecture. Provides access to the Semantic Pantheon (Archetypes) and holographic patterns. Triggers on: octave architecture, agent design, semantic pantheon, advanced octave.
llm-docs-optimizer
Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems.
nuxt-content
Use when working with Nuxt Content v3 - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration
linting-codebase
Parallel lint fixing pattern - runs lint checks, groups issues into independent streams, and dispatches AI agents to fix all issues until the codebase is clean.
testing-agents-with-subagents
Agent testing methodology - run agents with test inputs, observe outputs, iterate until outputs are accurate and well-structured.
using-ops-team
5 specialist operations agents for platform engineering, incident response, cloud cost optimization, infrastructure architecture, and security operations. Dispatch when you need production operations expertise.
using-ring
Mandatory orchestrator protocol - establishes ORCHESTRATOR principle (dispatch agents, don't operate directly) and skill discovery workflow for every conversation.
rp-explorer
Token-efficient codebase exploration using RepoPrompt CLI. Use when user says "use rp to..." or "use repoprompt to..." followed by explore, find, understand, search, or similar actions.
dev-feedback-loop
Development cycle feedback system - calculates assertiveness scores, analyzes prompt quality for all agents executed, aggregates cycle metrics, performs root cause analysis on failures, and generates improvement reports to docs/feedbacks/cycle-{date}/.
cloud-storage-optimization
Optimize cloud storage across AWS S3, Azure Blob, and GCP Cloud Storage with compression, partitioning, lifecycle policies, and cost management.
kaggle-ai-agents-intensive
Expert guide for Kaggle 5-Day AI Agents Intensive course materials (Day 1-5), VaaS capstone project, Google ADK, A2A protocol, multi-agent systems, and competition submission. Use when user asks about agent architectures, tools, memory, evaluation, A2A communication, VaaS business model, or capstone implementation.
testing-skills-with-subagents
Skill testing methodology - run scenarios without skill (RED), observe failures, write skill (GREEN), close loopholes (REFACTOR).
aws-s3-management
Manage S3 buckets with versioning, encryption, access control, lifecycle policies, and replication. Use for object storage, static sites, and data lakes.
android-kotlin-development
Develop native Android apps with Kotlin. Covers MVVM with Jetpack, Compose for modern UI, Retrofit for API calls, Room for local storage, and navigation architecture.
using-pmm-team
7 product marketing skills + 6 specialist agents for go-to-market strategy, positioning, messaging, competitive intelligence, and launch coordination.
dispatching-parallel-agents
Concurrent investigation pattern - dispatches multiple AI agents to investigate and fix independent problems simultaneously.