llm-ai
1
anthropic-prompt-engineer
Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.
zircote
data-ai
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machine-learning
1
ai-system-evaluation
End-to-end AI system evaluation - model selection, benchmarks, cost/latency analysis, build vs buy decisions. Use when selecting models, designing eval pipelines, or making architecture decisions.
doanchienthangdev
data-ai
llm-ai
1
agent-native-architecture
This skill should be used when building AI agents using prompt-native architecture where features are defined in prompts, not code. Use it when creating autonomous agents, designing MCP servers, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy.
SiTaggart
data-ai
machine-learning
1
senior-prompt-engineer
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
drgaciw
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
system-admin
1
deep-strategy
Generate comprehensive multi-approach strategies before execution. Extract domain knowledge, create alternative approaches, identify failure modes, and develop risk-aware plans. Use proactively for complex tasks requiring strategic thinking or when multiple approaches might succeed.
Whamp
tools
llm-ai
1
student-language-guide
Provide student-facing language rules for educational content. Use when writing lessons, checking language appropriateness, or validating content for students.
zeeshan080
data-ai
machine-learning
1
unsloth-tokenizer
Analyze, compare, and work with tokenizers using Unsloth tools. Compare different tokenizers, analyze token efficiency, and integrate with Unsloth models. For SuperBPE training, see the 'superbpe' skill.
ScientiaCapital
data-ai
productivity-tools
1
ai-skill-manager
Manage AI agent skills throughout their lifecycle - creating, structuring, optimizing, maintaining, versioning, and deprecating skills. Use when creating new skills, updating existing skills, optimizing token usage, managing skill quality, testing skill discovery, or following skill best practices.
antoineschaller
tools
llm-ai
1
agent-identifier
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
kurokeita
data-ai
productivity-tools
1
gemini-qa
Use Google Gemini CLI to answer questions about code, analyze files, or perform codebase exploration. Invoke this skill when the user asks to use Gemini, wants a second opinion from another AI, or wants to compare Claude's answer with Gemini's response.
FunnelEnvy
tools
system-admin
1
domino-vibe-modeling
Enable AI-assisted development (vibe modeling) within Domino using MCP (Model Context Protocol) servers. AI coding assistants like Cursor and GitHub Copilot can execute commands as Domino jobs, maintaining security, governance, and reproducibility. Use when setting up AI code assistants to work with Domino, configuring MCP servers, or enabling vibe modeling workflows.
jvdomino
tools
llm-ai
1
llm
Implement large language model (LLM) chat completions using the z-ai-web-dev-sdk. Use this skill when the user needs to build conversational AI applications, chatbots, AI assistants, or any text generation features. Supports multi-turn conversations, system prompts, and context management.
UholySmokes
data-ai
llm-ai
1
code-evolution
Autonomous multi-agent code evolution system for optimization problems. Use when solving complex optimization problems (packing, geometry, scheduling, search) through evolutionary approaches with multiple independent AI agents. Multi-start hybrid heuristic+SLSQP methods significantly outperform single approaches. Triggers include genetic algorithms, evolutionary optimization, multi-agent problem solving, parameter tuning at scale, AlphaEvolve-style research, or evolving code solutions across generations.
hanialshater
data-ai
llm-ai
1
oracle-agent-spec-expert
Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions
frankxai
data-ai
system-admin
1
agent-crewai
Beginner workflow for CrewAI (Python + YAML + CLI). Use when the user wants to build crews with YAML agents and tasks.
Treytucker05
tools
productivity-tools
1
julien-skill-creator
Create or update Claude Code skills. Use when: user wants to create a skill, add a new skill, update skill, or mentions SKILL.md. Includes Skill Chaining documentation.
theflysurfer
tools
system-admin
1
cloud-swarm
AI swarm orchestration and management in Flow Nexus cloud. Use for deploying, coordinating, and scaling multi-agent swarms for complex task execution.
vamseeachanta
tools