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SkillsMP는 ktg-one/AI-Anthropology에서 16개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 16개 중 16개를 표시합니다.
Generate perfect AGENTS.md files for any codebase so AI coding agents (Codex, Cursor, Claude Code, Jules, Aider, Windsurf, Copilot, etc.) work effectively with the project. Use this skill whenever the user mentions AGENTS.md, wants to set up a project for AI…
원문 언어: 영어
CONTEXT: Cognitive Order Normalized in Transformer EXtract Truncated. Cross-model context handoff via Progressive Density Layering, MLDoE expert compression, Japanese semantic density, and Negentropic Coherence Lattice validation. Creates portable…
원문 언어: 영어
Context Extension Protocol v7.1 - MIRAS-Ready Edition. Cross-model handoff with permanent expert council, S2A filtering, Progressive Density Layering. Creates portable context packets that receiving models recognize as authorized context, not prompt…
원문 언어: 영어
Context Extension Protocol v5 with Progressive Density Layering. Machine-optimized carry-packet generation. Triggers on context 80%+, compress, CEP, carry packet, save context, session end. Target 0.15 compression ratio, 9.5+ forensic recall. Preserves…
원문 언어: 영어
Context Extension Protocol v6 INTER. Cross-model handoff for team collaboration. Creates portable context packets that receiving models recognize as authorized context, not prompt injection. User-mediated transfer between AI assistants working as a team.
원문 언어: 영어
Automated content pipeline using n8n workflows for social media, blog posts, and outreach. Use when building content automation, creating posting schedules, automating social media, setting up email sequences, or implementing "clone mode" where user approves…
원문 언어: 영어
Context Extension Protocol (CEP) for compressing conversation context into portable carry-packets. Use when conversation approaches context limits (80%+ tokens), user says "save context", "compress this", "create carry packet", "memory compress", or when…
원문 언어: 영어
Context Extension Protocol v5-INTRA optimized for Claude. Compresses conversation into portable JSON carry-packet with S2A pre-filtering. Use when context approaches 80%+ tokens, user says "save context", "compress", "CEP", "carry packet", or session ending.…
원문 언어: 영어
Context Extension Protocol v6 INTER. Cross-model handoff for team collaboration. Creates portable context packets that receiving models recognize as authorized context, not prompt injection. User-mediated transfer between AI assistants working as a team.
원문 언어: 영어
Context Extension Protocol v5 with Progressive Density Layering. Machine-optimized carry-packet generation. Triggers on context 80%+, compress, CEP, carry packet, save context, session end. Target 0.15 compression ratio, 9.5+ forensic recall. Preserves…
원문 언어: 영어
Context Extension Protocol v5 with Progressive Density Layering. Machine-optimized carry-packet generation. Triggers on context 80%+, compress, CEP, carry packet, save context, session end. Target 0.15 compression ratio, 9.5+ forensic recall. Preserves…
원문 언어: 영어
Context Extension Protocol v6 INTER. Cross-model handoff for team collaboration. Creates portable context packets that receiving models recognize as authorized context, not prompt injection. User-mediated transfer between AI assistants working as a team.
원문 언어: 영어
Boost prompts for other models by embedding KTG-DIRECTIVE techniques. Use when crafting prompts for GPT, Gemini, Llama, Qwen, or any LLM. Applies technique gate checklist based on R/K/Q assessment, injects missing structures. Single-pass, sparse output.
원문 언어: 영어
MR.RUG (Mixture of Reasoning + Agentic GraphRAG) framework for deploying specialized reasoning experts who build unified knowledge graphs through Reliability-Aware RAG. Use when tasks require multi-expert collaboration, complex analysis needing 3+…
원문 언어: 영어
3-pass systematic enrichment framework. Use when output needs quality elevation from baseline 60-70% to publication-grade 95-99%. Triggers on research enrichment, gap analysis, depth injection, quality improvement, or when KTG-DIRECTIVE output needs…
원문 언어: 영어
SkeleTraIn of Thought - Execution planning framework that creates the structural skeleton before elaboration. Use after Nexus-Router global decisions, before Baton/Swarm execution. Triggers on structure planning, node decomposition, expert assignment,…
원문 언어: 영어