ai-safety-planning
Plan AI safety measures including alignment, guardrails, red teaming, and regulatory compliance (EU AI Act, NIST AI RMF).
amplifier-agent-delegation
Delegate tasks to Microsoft Amplifier's remote agent ecosystem via CLI.
skill-creator
Create new Agent Skills that conform to the Agent Skills open standard (SKILL.md frontmatter + instructions), using progressive disclosure and optional scripts/references/assets. Use when the user asks to create, scaffold, or improve a skill, or needs provider-specific install guidance for Gemini CLI, Claude Code, or OpenAI Codex.
transcript-recovery
Recover full conversation history after context compaction. Use when context window is compacted and Claude needs to access earlier parts of the conversation, when user asks about what was discussed before, or when Claude needs to continue work from a previous session. Reads from /mnt/transcripts/ directory.
prompt-engineer
Expert prompt optimization for LLMs and AI systems, specialized in agent cognitive architecture. Use PROACTIVELY when optimizing agent prompts, persona caching, reflection/planning prompts, or A2A conversation generation. (project)
prompt-engineer
Expert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt management. Use when crafting prompts, optimizing LLM outputs, or building prompt systems. Triggers include "prompt engineering", "prompt optimization", "chain of thought", "few-shot", "prompt template", "LLM prompting".
agentuity-cli-cloud-vector-get
Get a specific vector entry by key. Requires authentication. Use for Agentuity cloud platform operations
replicate-integration
Integrate Replicate API for AI model deployment. Use when generating images with Flux, SDXL, or custom LoRA models via Replicate.
prompt-optimizer
Transforms user input prompts into structured, context-aware prompts optimized for CircleTel project workflows
bedrock-agents
Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.
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.
voice-integration
This skill should be used when the user asks about "[VOICE] tag", "voice notification", "TTS settings", "speech rate", "voice language", "text-to-speech", or mentions CVI configuration. Also use this skill when completing tasks to provide voice notification summaries.
ai-cache-patterns
Embedding/vector caching for AI cost optimization
openai-agents-sdk-mcp-backend
Patterns for building AI-powered chatbot backends using OpenAI Agents SDK with MCP (Model Context Protocol) server integration in FastAPI applications. Supports both standalone MCP servers and function tools.
temporal-ai-skill
Interface for managing the Temporal Database and AI system (ReDB + GGUF embeddings).
