LLM & Agents

Push prompt updates to Langfuse (staging or production). Defaults to STAGING (safe). Production requires explicit --production flag + confirmation. NEVER assigns labels (human-in-the-loop safety).

Zero Data Retention mode for sensitive/proprietary code - no code stored on OpenAI servers

DeepSeek AI large language model API via curl. Use this skill for chat completions, reasoning, and code generation with OpenAI-compatible endpoints.

ReasoningBank integrations that rely on AgentDB for memory and retrieval.

Skill guidance for agentdb reinforcement learning training.

Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.

[CLAUDE CODE ONLY] Leverage Codex CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, and alternative approach generation. Requires terminal access to execute Codex CLI commands. Use when making high-stakes decisions, reviewing complex architecture, or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.

Telegram automation assistant using telegram-mcp. Use when users want to: (1) Get a digest of unread Telegram messages (2) Analyze their writing style from channel posts (3) Draft and publish posts to Telegram channels (4) Search and reply to messages across chats Triggers: "telegram digest", "unread messages", "morning summary", "post to channel", "draft telegram post", "analyze writing style", "extract style from channel", "telegram workflow"

Use when prompts produce inconsistent or unreliable outputs, need explicit structure and constraints, require safety guardrails or quality checks, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.

Pair skills with specialist agents, generating both the skill spec and the agent system prompt with validation and routing notes.

Generate visual hierarchy diagrams of agent system showing levels and delegation. Use for documentation or onboarding.

自媒体写作交互式助手。帮助完成从选题到发布的完整流程。适用于：开始写新文章、检查草稿质量、诊断发布后数据不佳的原因。

Advanced AgentDB deployment patterns, multi-tenant controls, and durability hardening.

Regla 07: Pruebas. Use when writing tests, reviewing test coverage, or setting up testing.

Defines the shared role, responsibilities, and operating principles for an Executive agent in the b00t hive. This skill uses Rhai scripting to provide model-specific directives.

Orchestrate complex, latency-aware multi-agent work with adaptive topologies, resilient routing, and evidence-backed handoffs.

Route, calibrate, and continuously improve specialist coverage across domains.

INVOKE BEFORE writing new code to find existing implementations (DRY). Also for codebase exploration and production data search. Run: docker exec arsenal-semantic-search-cli code-search find 'query'

Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.