llm-ai
0
quantum-memory
Manage persistent quantum memories across sessions. Use for storing, retrieving, organizing, and building upon past learnings and insights.
ExpressedAi
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
0
aws-strands
Build AI agents with Strands Agents SDK. Use when developing model-agnostic agents, implementing ReAct patterns, creating multi-agent systems, or building production agents on AWS. Triggers on Strands, Strands SDK, model-agnostic agent, ReAct agent.
nesihaver-IL
data-ai
llm-ai
0
scenario-runner-capture
Implement deterministic Scenario Runner + capture outputs for agents
unfrgivn
data-ai
llm-ai
0
prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
montenoki
data-ai
llm-ai
0
cli-router
Routes tasks to locally installed CLI tools using semantic matching. Triggers on tasks requiring shell commands, file operations, code search, data processing, visualization, or external tool invocation. Uses cli-index for semantic routing.
Zpankz
data-ai
llm-ai
0
llm-models-reference
Reference guide for LLM model IDs, capabilities, pricing, and provider endpoints. Use when selecting a model, comparing provider capabilities, or validating model IDs for {{PROJECT_NAME}}.
ak-eyther
data-ai
llm-ai
0
ai-agent-orchestrator
Эксперт по оркестрации AI агентов. Используй для multi-agent systems, agent coordination, task delegation и agent workflows.
dengineproblem
data-ai
llm-ai
0
prompt-engineer
Expert prompt engineering for Claude 4 models (Sonnet 4.5). Use when crafting prompts, optimizing AI responses, implementing chain-of-thought, or improving prompt clarity and effectiveness. Specializes in Claude-specific techniques and best practices.
amo-tech-ai
data-ai
llm-ai
0
forging-skills
Prevents skill atrophy by periodically halting for user code writing and review. Use when senior engineers want to stay hands-on while leveraging agentic AI.
CodeTonight-SA
data-ai
llm-ai
0
51-execute-quality-150
[51] EXECUTE. Commitment to maximum quality work with 150% coverage. Use when you need the highest quality output for critical tasks, complex problems, important decisions, or when standard work isn't enough. Triggers on "maximum quality", "150% mode", "full quality", "critical task", or when you explicitly want AI to work at its best.
MykhailoDmytriakha
data-ai
llm-ai
0
claude-code-hooks
Implement Claude Code hooks for deterministic control over agent behavior. Use when creating custom hooks for notifications, auto-formatting, logging, feedback, permissions, or lifecycle events.
filipexyz
data-ai
llm-ai
0
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).
yuanhsunliu
data-ai
llm-ai
0
agentic-orchestration
Defines the three-layer architecture for the "Agentic Framework" - a meta-layer that surrounds an Application Layer with a Skills Layer in between, providing production-grade controls for AI agents. Use this skill when designing, explaining, or implementing agentic systems that require robust orchestration, domain capabilities, and safety controls.
0xdsgnrd
data-ai
llm-ai
0
integrated-reasoning-v2
Enhanced meta-orchestration for selecting and combining reasoning patterns. Now includes 9 methodologies (ToT, BoT, SRC, HE, AR, DR, AT, RTR, NDF) with weighted multi-dimensional selection, feedback loops, uncertainty propagation, and validated confidence aggregation. Use when facing complex problems requiring optimal reasoning strategy selection.
kimasplund
data-ai
llm-ai
0
skill-builder
This skill exists to create new skills via the bundled CLI workflow.
jphetphoumy
data-ai
llm-ai
0
skill-architect
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
AmnadTaowsoam
data-ai
llm-aimarketplace
0
context-loader
Tiered context management for multi-agent workflows. Use when: - Starting a new session and need to load project context - Context window approaching capacity (>70% usage) - Switching between different parts of a codebase - Preparing context for subagent delegation - Recovering from session compaction - Handoff between agents needs structured context Do NOT use for: - Simple file reads (use Read tool directly) - Small projects that fit in context easily - Questions about specific files (just read them)
pagerguild
data-ai
llm-ai
0
openai-sdk
OpenAI official SDK usage (Python, Node.js). Use when: writing code that calls OpenAI API, implementing chat/embeddings/images/audio features, handling streaming responses, async patterns, error handling with SDK. For raw HTTP/REST calls, see `openai-api` skill.
timequity
data-ai
llm-ai
0
dify-llm-platform
Build LLM applications using Dify's visual workflow platform. Use when creating AI chatbots, implementing RAG pipelines, developing agents with tools, managing knowledge bases, deploying LLM apps, or building workflows with drag-and-drop. Supports hundreds of LLMs, Docker/Kubernetes deployment.
aeonbridge
data-ai
llm-ai
0
recovering-sessions
Recover from crashed, failed, or interrupted Claude Code sessions. Use this skill when: session crashed during multi-agent parallel execution, need to determine what work was completed vs incomplete, want to generate resumption commands for interrupted tasks, recovering from context window exhaustion, or handling session handoffs. Analyzes agent logs, verifies on-disk state, and creates resumption plans with ready-to-execute Task() commands.
miethe
data-ai
llm-ai
0
sequential-thinking
Complete guide to using Sequential Thinking MCP server with Claude Code
Lordsisodia
data-ai
llm-ai
0
python-pro
Expert Python developer specializing in modern Python 3.11+ with deep expertise in type safety, async programming, testing, and production-grade code. Invoke for Pythonic patterns, type hints, pytest, async/await, dataclasses.
franroa
data-ai