llm-ai
1
mcp-daemon-isolation
Context isolation for query-type MCP tools (LSP, search, database) via external CLI. Use when MCP query results consume too many context tokens.
chkim-su
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
1
claude-subagent-development
This skill should be used when the user asks to "create a subagent", "validate a subagent", "generate subagent schema", "check subagent configuration", "write subagent specification", or mentions subagent development, validation, or protocol documentation for Claude Code.
rafaelcalleja
data-ai
llm-ai
1
skill-development
This skill should be used when the user asks to "create a skill", "write a skill", "build a skill", or wants to add new capabilities to Claude Code. Use when developing SKILL.md files, organizing skill content, or improving existing skills.
dwmkerr
data-ai
llm-ai
1
ralph-technique
The Ralph Wiggum technique for minimal, declarative prompts that enable loop-based autonomous execution.
5dlabs
data-ai
llm-ai
1
local-development
Complete guide for local agent development using kubani-dev CLI, unified configuration, MCP integration, and seamless iteration.
X-McKay
data-ai
llm-ai
1
claudedoc-master
MUST USE when searching for official Claude Code or Anthropic platform documentation links (MCP, hooks, skills, CLI). Provides fast fuzzy-search CLI for authoritative Claude documentation.
Git-Fg
data-ai
llm-ai
1
layer-02-business
Expert knowledge for Business Layer modeling in Documentation Robotics
tinkermonkey
data-ai
llm-ai
1
doc-learner
智能文档学习和内容模仿技能。当需要：(1) 分析和学习优秀文档的结构、风格和写作模式，(2) 从文档中提炼关键要素和模板，(3) 基于学习内容生成模仿材料，或 (4) 创建新的提示词或技术文档时使用此技能。支持提示词工程、技术文档、API文档、用户手册等多种文档类型的学习和模仿。
evanfang0054
data-ai
llm-ai
1
edit-skill
Guide for creating and editing Agent Skills. Use this skill when you need to create or modify a skill.
0xmsc
data-ai
llm-ai
1
covenant-patterns
Apply covenant principles as design constraints across all core systems. Use when building agents, prompts, recipes, artifacts, or multi-agent architectures.
SyntaxAsSpiral
data-ai
llm-ai
1
llm-integration
Integrate LLMs into applications - APIs, prompting, fine-tuning, and context management
pluginagentmarketplace
data-ai
llm-ai
1
livekit-stt-selfhosted
Build self-hosted speech-to-text APIs using Hugging Face models (Whisper, Wav2Vec2) and create LiveKit voice agent plugins. Use when building STT infrastructure, creating custom LiveKit plugins, deploying self-hosted transcription services, or integrating Whisper/HF models with LiveKit agents. Includes FastAPI server templates, LiveKit plugin implementation, model selection guides, and production deployment patterns.
Okeysir198
data-ai
llm-ai
1
layer-04-app
Expert knowledge for Application Layer modeling in Documentation Robotics
tinkermonkey
data-ai
machine-learning
1
inference-optimization
Optimizing AI inference - quantization, speculative decoding, KV cache, batching, caching strategies. Use when reducing latency, lowering costs, or scaling AI serving.
doanchienthangdev
data-ai
llm-ai
1
claude-reflection
Self-improvement and learning skill that helps Claude learn from user interactions, corrections, and preferences
vamseeachanta
data-ai
llm-ai
1
lang-sparql-dev
Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQL development.
aRustyDev
data-ai
llm-ai
1
vibecode-setup
Initialize a new vibecoding session with proper context and planning
arinbalyan
data-ai
llm-ai
1
python-function-caching
Provide a reusable pattern for memoizing deterministic function calls to reduce latency and repeated computation. Backed by the `python` diskcache package. Use skill when updating or editing everything.
gordonwatts
data-ai
llm-ai
1
agent-orchestration-patterns
Multi-agent coordination patterns for building effective AI teams
frankxai
data-ai
llm-ai
1
search-memory
Search the hierarchical memory system for relevant memories. Searches across all tiers (working, episodic, semantic) and returns ranked results. Use for context retrieval and pattern matching. Keywords: memory, search, retrieve, recall, context, similarity.
X-McKay
data-ai
llm-ai
1
domain-review-before-implementation
BEFORE dispatching any implementation agent or starting to code - if you're about to write "Task(subagent_type=..., prompt=...)" for implementation, or about to implement a plan yourself, STOP and review first. The prompt you're about to send IS a brief - review it for design flaws before the agent implements garbage.
snits
data-ai
machine-learning
1
genai-dac-specialist
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
frankxai
data-ai