llm-ai
0
skill-creator
Creates new Claude Code skills with proper structure, frontmatter, and documentation. Use when creating skills, setting up skill templates, or when user says "create a skill", "make a skill", "new skill for".
JackPo
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
0
anti-hallucination
Validates AI prompts and LLM findings against source data to prevent hallucinations. Use when: (1) Adding new analysis prompts to server.js, (2) Reviewing prompts for hallucination risks, (3) Implementing validation rules in ATTRIBUTE_VALIDATION_RULES, (4) Auditing that findings match source JSON data
gilberth
data-ai
llm-ai
0
hkgb
This skill should be used when building hybrid Knowledge Graphs that integrate structured data (CSV, databases) with automatically extracted entities from unstructured documents (PDFs, text). The pattern establishes a reliable join key between domain graphs and lexical graphs, enabling GraphRAG, document ingestion with metadata enrichment, and Knowledge Graph construction from heterogeneous sources using neo4j-graphrag SimpleKGPipeline.
Zpankz
data-ai
llm-ai
0
rlm-orchestrator
Master skill for Recursive Language Model thinking — orchestrates long-context reasoning by treating prompts as environments, not inputs. Spawns sub-agents and manages recursive decomposition.
Magic8Ballin
data-ai
llm-ai
0
neuro-symbolic
Neuro-symbolic architecture patterns. Use when building the bridge between LLM (Neural) and Python rules (Symbolic).
theinterneti
data-ai
llm-ai
0
code-explorer
Search and analyze code repositories on GitHub and Hugging Face (Models, Datasets, Spaces). This skill should be used when exploring open-source projects, finding implementation references, discovering ML models/datasets, or analyzing how others have solved similar problems.
YoungjaeDev
data-ai
llm-ai
0
groq-chatbot
Build a streaming AI chatbot with Groq API, RAG context, and Next.js. Includes floating UI, model fallbacks, and Vercel deployment.
edhumbling
data-ai
llm-ai
0
subagent-driven-development
Quality-gated iteration with multi-agent workflows for complex tasks
Lordsisodia
data-ai
llm-ai
0
amp-skill-creator
PRIMARY skill creator. Use this by default when creating ANY skill. If user explicitly asks for a "Claude skill", "Claude-compatible skill", or "universal skill", use agent-skill-creator instead. Handles Amp-specific features (mcp.json, OAuth, Amp frontmatter).
thurstonsand
data-ai
llm-ai
0
skills-repo-maintenance
Add or update skills in a skills repository for Codex and/or Claude Code. Use when creating new skills, packaging .skill files for Codex, or converting a skill into a Claude Code plugin (marketplace.json + plugin.json).
akiojin
data-ai
llm-ai
0
self-enhance
Framework for improving Claude configuration (skills, agents, commands). Use when analyzing work patterns, proposing new skills, identifying knowledge gaps, reviewing Claude setup, or when user asks to improve how Claude helps them.
keenranger
data-ai
llm-ai
0
context-compression
Use when compressing agent context, implementing conversation summarization, reducing token usage in long sessions, or asking about "context compression", "conversation history", "token optimization", "context limits", "summarization strategies"
eyadsibai
data-ai
llm-ai
0
obsi-concept-distiller
AI를 활용해 핵심 개념을 추출하고, 문맥을 분석하여 지식 베이스(20_Learning)와 양방향으로 연결합니다.
lastdays03
data-ai
llm-ai
0
hello-world
A simple example skill that demonstrates the basic structure of a Claude Skill, including scripts, references, and best practices. Use this as a learning template when creating new skills.
FAeN399
data-ai
llm-ai
0
skill-creator
効果的なスキルを作成するためのガイド。このスキルは、ユーザーがAIエージェントの機能を専門知識、ワークフロー、またはツール統合で拡張する新しいスキルを作成（または既存のスキルを更新）したい場合に使用します。
ks6088ts-labs
data-ai
llm-ai
0
using-harness
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
astrosteveo
data-ai
llm-ai
0
moai-foundation-core
MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows
tjdwls101010
data-ai
llm-ai
0
non-linear
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
Zpankz
data-ai
llm-ai
0
huggingface-tokenizers
Use when "tokenizers", "HuggingFace tokenizer", "BPE", "WordPiece", or asking about "train tokenizer", "custom vocabulary", "tokenization", "subword", "fast tokenizer", "encode text"
eyadsibai
data-ai
llm-ai
0
test-nice-guy
Always responds politely with a fixed greeting and closing line.
Nimetko
data-ai