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LLM & AI

Large Language Models and AI agents.

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llm-ai
2

never-guess

Behavioral principle ensuring Claude never guesses when uncertain. Use when Claude's response involves facts it cannot verify, technical claims, or any statement where accuracy matters. Complements resolve-ambiguity skill.

rayk
rayk
data-ai
open
llm-ai
2

wolf-archetypes

Behavioral archetypes for automatic agent adaptation based on work type

Nice-Wolf-Studio
Nice-Wolf-Studio
data-ai
open
llm-ai
2

orchestrator-agent

Advanced orchestration agent for managing subagents, commands, MCP servers, and skills with parallel execution capabilities

menoncello
menoncello
data-ai
open
llm-ai
2

startupo-lite

RAG-first ORCHESTRATOR startup. Minimal context (~500 tokens), queries RAG on-demand. Token-efficient alternative to startupO.

Euda1mon1a
Euda1mon1a
data-ai
open
llm-ai
2

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). | Sử dụng khi: tạo MCP server, xây dựng tool server.

wollfoo
wollfoo
data-ai
open
llm-ai
2

planning

This skill should be used when designing implementation plans, decomposing complex work into tasks, or making architectural decisions during ultrawork sessions. Used by orchestrator (interactive mode) and planner agent (auto mode).

mnthe
mnthe
data-ai
open
llm-ai
2

code-discovery

Helpers to discover, rank, and invoke repository symbols from natural language with minimal context.

idealley
idealley
data-ai
open
llm-ai
2

ekkos-preferences

Capture user preferences as permanent directives. Activate when the user says "always", "never", "I prefer", "I like", "don't", "avoid", expresses a coding style preference, states a workflow requirement, or corrects you about how they want things done. These become rules that apply to all future sessions.

ekkostech
ekkostech
data-ai
open
llm-ai
2

abductive-repl

Hypothesis-Test Loops via REPL for Exploratory Abductive Inference

plurigrid
plurigrid
data-ai
open
llm-ai
2

skills-sync

Sync Claude Code skills from the ChillSkills GitHub repository

ChinchillaEnterprises
ChinchillaEnterprises
data-ai
open
llm-ai
2

claude-hooks

Guide for creating hooks that trigger actions in response to Claude Code events

vinnie357
vinnie357
data-ai
open
llm-ai
2

openapi-toolkit-ollama-dart

Automates updating ollama_dart when Ollama OpenAPI spec changes. Fetches latest spec, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for API updates, (2) Generating implementation plans for spec changes, (3) Creating new models/endpoints from spec, (4) Syncing local spec with upstream. Triggers: "update api", "sync openapi", "new endpoints", "api changes", "check for updates", "update spec", "api version", "fetch spec", "compare spec", "what changed in the api", "implementation plan".

davidmigloz
davidmigloz
data-ai
open
llm-ai
2

spawn-agent

Spawn PAI agents via MCP factory tool. Loads identity, injects RAG context, validates spawn chain, and executes via Task(). The bridge between MCP tools and Claude Code's agent spawning.

Euda1mon1a
Euda1mon1a
data-ai
open
llm-ai
2

prompting

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

otrebu
otrebu
data-ai
open
llm-ai
2

anthropic-agents

Workflow patterns and gotchas for Anthropic/Claude agents. Directs to RAG for implementation.

MattMagg
MattMagg
data-ai
open
llm-ai
2

checkpointing-an-iteration

Use when saving current iteration progress mid-conversation, before context compaction, or at interim pause points

tilmon-engineering
tilmon-engineering
data-ai
open
llm-ai
2

image-gen

Generate images using Google's Nano Banana Pro (Gemini 3 Pro Image) with workflow-based prompting

krishagel
krishagel
data-ai
open
llm-ai
2

debug-mode

Hypothesis-driven debugging with hybrid dual-track parallel execution (Opus 4.5 + GPT 5.2). Spawns two independent chains of subagents where each reviews and improves upon its own previous work, then synthesizes findings from both tracks. Use when debugging hard-to-reproduce bugs, CI/E2E test failures, flaky tests, or when standard fixes have failed.

nicobailon
nicobailon
data-ai
open
llm-ai
2

create-subagent

Use when creating custom Claude Code subagents - guides YAML frontmatter structure, system prompts, tool restrictions, model selection, and permission configuration

FrancescoSaverioZuppichini
FrancescoSaverioZuppichini
data-ai
open
llm-ai
2

moai-cc-settings

Claude Code settings management, preference customization, and user experience optimization. Use when customizing Claude Code behavior, managing user preferences, or optimizing development experience.

AJBcoding
AJBcoding
data-ai
open
llm-ai
2

langgraph

Workflow patterns and gotchas for LangGraph. Directs to RAG for implementation.

MattMagg
MattMagg
data-ai
open
llm-ai
2

code-reviewer

Use when explicitly asked to run the code-reviewer subagent or when another skill requires the code-reviewer agent card.

troykelly
troykelly
data-ai
open
llm-ai
2

domain-phd-expert

Creates PhD-grade expert agents when no suitable agent exists. Produces highly specialized agents with deep domain expertise.

turbobeest
turbobeest
data-ai
open
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