redmine-agent-ready-tickets
Turn queued, vague, mixed-scope, or underspecified Redmine issues into evidence-backed implementation contracts that Claude, ChatGPT, Codex, Hermes, or another coding agent can execute. Use when a user says "send to AI/KI", asks Hermes to prepare a Redmine ticket, audits an AI-preparation queue, rewrites or splits tickets, applies Wayfinder-style research/grilling/prototype/task planning, creates vertical child tickets and blocking relations, or reviews whether a ticket is ready for autonomous implementation.
hermes-harness
Use Hermes Agent as an orchestration harness that decomposes tasks, delegates focused work to subagents, and synthesizes verified results.
git-workflow
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git-workflow
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agent_orchestration
Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.
agents_md
AGENTS.md dosyaları oluşturma, monorepo yapılandırma ve agent instruction yönetimi rehberi.
audience_intelligence
Analyzes target audience demographics, psychographics, behaviors, and platform preferences to inform influencer selection and campaign strategy. Essential foundation for effective influencer marketing.
cold_email
Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.
competitor_intelligence
Analyzes competitor SEO and GEO strategies including their ranking keywords, content approaches, backlink profiles, and AI citation patterns. Reveals opportunities to outperform competition.
email_composer
Profesyonel e-posta yazma, business communication ve template oluşturma rehberi.
llm_evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
multi_agent_patterns
Çoklu agent mimarisi tasarımı, orchestration patterns ve agent collaboration rehberi.
prompt_engineering
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
prompt_optimizer
Mevcut promptların token kullanımını ve başarı oranını optimize etme.
rag_architecture
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
rag_implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
tailwind_mastery
Tailwind CSS v4, design tokens, responsive patterns ve utility-first CSS best practices.