llm-ai
0
ai-auditability
Implementing comprehensive logging, tracking, and audit trails for AI systems to ensure compliance and enable debugging.
AmnadTaowsoam
data-ai
sorting
์คํ
current ordering strategy
query
all entries
refine the visible subset
llm-ai
0
creating-meta-prompts
Claude้ใฎใใคใใฉใคใณ็จใซๆ้ฉๅใใใใกใฟใใญใณใใใไฝๆใใพใใใชใตใผใใ่จ็ปใๅฎ่กใฎๅๆฎต้ใๅซใๅคๆฎต้ใฏใผใฏใใญใผใ่จญ่จใใพใใ่ค้ใชใฟในใฏใฎๆฎต้็ๅฆ็ใClaude้ใฎ้ฃๆบใๆง้ ๅใใใใฏใผใฏใใญใผใๅฟ ่ฆใชๅ ดๅใซไฝฟ็จใใฆใใ ใใใ
sekka
data-ai
llm-ai
0
embedding-pipeline
Implement reusable embedding functions using Gemini embedding models via LangChain with proper error handling and batching for sitemap-crawled content.
nadeemsangrasi
data-ai
llm-ai
0
rag-chatbot-enhancement
Improves the RAG (Retrieval-Augmented Generation) chatbot for the Physical AI & Humanoid Robotics textbook with strict grounding, citation requirements, and performance optimization.
Fatima367
data-ai
machine-learning
0
finetune-llm
LLM fine-tuning ๆ็ทดๅผๅผๅฐๅทฅไฝๆต็จ v2ใ ๆ ธๅฟๅ่ฝ๏ผไธปๅๆข็ดขไฝฟ็จ่ ็้ปใๅผๅฐๆ็ขบ็ฎๆจใๅคไปปๅ็ฎก็ใ่ณๆไพๆบ่ฟฝ่นคใๅฎๆด็ๆฌ lineageใ ๆฏๆด๏ผLoRA/QLoRA/DoRA ๅพฎ่ชฟใSFT/ORPO/DPO ๅฐ้ฝใ่ณๆๆบๅใBenchmark ่ฉไผฐใHuggingFace ้จ็ฝฒใ ็น่ฒ๏ผๆ็ทดๅผๅผๅฐใๅฏ้็พ็่ณๆ็ฎก็ทใๅคไปปๅ็ๆฌ่ฟฝ่นคใ ่งธ็ผ่ฉ๏ผใ่จ็ทดๆจกๅใใfine-tuneใใๅพฎ่ชฟใใLoRAใใๅปบ็ซๆฐไปปๅใใๆนๅๆจกๅใใๅชๅๆบ็ขบ็ใใ่ณๆ็ฎก็ทใใไปปๅ็ฎก็ใ
p988744
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
rdmptv
data-ai
llm-ai
0
strands-agent-architect
Design, build, deploy, and troubleshoot AI agents using AWS Strands Agents Framework (PRIMARY), Google ADK v1.0, A2A (Agent-to-Agent) protocols, and AWS Bedrock AgentCore. Use when creating new agents, implementing agent communication patterns, configuring AgentCore runtime, setting up RAG pipelines, integrating with Gemini 3.0, debugging deployment issues, or optimizing agent performance.
LPDigital-Agent
data-ai
machine-learning
0
evaluation-metrics
Automatically applies when evaluating LLM performance. Ensures proper eval datasets, metrics computation, A/B testing, LLM-as-judge patterns, and experiment tracking.
ricardoroche
data-ai
llm-ai
0
fabric-improve-prompt
Improve LLM prompts using prompt engineering best practices. Invoke when user wants to optimize prompts, improve slash commands, or apply prompt engineering.
theaj42
data-ai
llm-ai
0
using-claude-code-cli
Invoke Claude Code CLI from Python orchestrators and shell scripts. Use when asked to "spawn claude as subprocess", "automate claude cli", "run claude headless", "configure --allowedTools", "set up claude hooks", or "parallel claude invocation". Covers permissions, directory access (--add-dir), hooks, sandbox mode, and async patterns.
SpillwaveSolutions
data-ai
llm-ai
0
phase-intent
Phase 1 of assist workflow - Classify intent as CREATE, REFACTOR, or VERIFY
chkim-su
data-ai
llm-ai
0
gemini-3-pro-api
Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment. Use when working with Gemini 3 Pro API, Python SDK, Node.js SDK, text generation, chat applications, or advanced reasoning tasks.
adaptationio
data-ai
llm-ai
0
validating-openai-api-implementations
Use when reviewing OpenAI API usage, answering questions about OpenAI endpoints, or validating implementations against the official API specification. Provides expert knowledge on chat completions, embeddings, models, audio, assistants, batch processing, and moderations endpoints. Essential for code reviews involving OpenAI integrations and determining if features/parameters are part of the official API.
bbrowning
data-ai
llm-ai
0
skill-creator
ํจ๊ณผ์ ์ธ SKILL์ ์ ์ํ๊ธฐ ์ํ ๊ฐ์ด๋์ ๋๋ค. ํนํ๋ ์ง์, ์ํฌํ๋ก์ฐ ๋๋ ๋๊ตฌ ํตํฉ์ ํตํด Claude์ ๊ธฐ๋ฅ์ ํ์ฅํ๋ ์๋ก์ด SKILL์ ์์ฑํ๊ฑฐ๋ ๊ธฐ์กด SKILL์ ์ ๋ฐ์ดํธํ๋ ค๋ ๊ฒฝ์ฐ ์ด SKILL์ ์ฌ์ฉํ์ธ์.
icartsh
data-ai
llm-ai
0
rag-implementation
RAG (Retrieval Augmented Generation) implementation patterns including document chunking, embedding generation, vector database integration, semantic search, and RAG pipelines. Use when building RAG systems, implementing semantic search, creating knowledge bases, or when user mentions RAG, embeddings, vector database, retrieval, document chunking, or knowledge retrieval.
vanman2024
data-ai
llm-ai
0
example-skill
Describe when this skill should be invoked. Include trigger keywords, file patterns, and explicit use cases. The more specific, the better Claude can determine when to load this skill.
JaimeStill
data-ai
llm-ai
0
post-run-debrief
Converts telemetry and user notes into a structured reflection, confidence score, and next-step guidance.
nadavyigal
data-ai
llm-ai
0
memory
PMC memory system for persistent context across sessions. Store, search, and retrieve project knowledge using semantic vector search (OpenAI embeddings) and full-text keyword search. Use when: storing important context, searching for past solutions, retrieving project-specific knowledge, or building up institutional memory.
jayprimer
data-ai
llm-ai
0
claude-context
Carga el archivo CLAUDE_PROMPT.md como contexto para aplicar las instrucciones y mejores prรกcticas del proyecto. รsalo cuando el usuario quiera aplicar las guรญas personalizadas, principios de trabajo, o cuando diga "load claude context", "usa el prompt", "aplica CLAUDE_PROMPT", "/claude" o "/bot".
vetacreativalaser
data-ai