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Found 21 Skills
Drafts copy-paste-ready /goal commands for goal mode in Claude Code and Codex. Use when the user asks to create, write, rewrite, improve, compress, clean up, or prepare a goal prompt, goal condition, /goal command, goal-mode objective, or copy-ready long-running task objective.
Use when working with AI agent protocols, standards, and interoperability specifications. Covers MCP, A2A, ACP, Agent Skills, AGENTS.md, ADL, x402, AP2, MCP Apps, and cagent. USE FOR: agent protocol selection, comparing MCP vs A2A vs ACP, understanding agent standards ecosystem, choosing payment protocols DO NOT USE FOR: specific protocol implementation details (use the sub-skills: mcp, a2a, acp, x402, etc.)
AI agent applies a 5-phase systematic framework for tackling complex problems when conventional approaches fail. Use when stuck, blocked, or troubleshooting issues.
Validar prompts dirigidos a agentes de IA (Claude Code, Cursor, Copilot, etc.) contra reglas de redacción efectiva. Calcular un porcentaje de efectividad del prompt y devolver sugerencias de mejora concretas, más una propuesta de prompt reescrito. Cubre verbos no imperativos, lenguaje conversacional, acciones vagas, términos subjetivos, alcance difuso, prohibiciones implícitas, intenciones múltiples y nombres genéricos. Las reglas de detalle técnico (alcance, nombres exactos) se aplican solo a prompts de implementación; en prompts funcionales (user stories, descripciones de comportamiento) se marcan N/A. Usar siempre que el usuario pida validar, revisar, auditar, mejorar, corregir o "pulir" un prompt antes de enviarlo a un agente, o cuando pegue un prompt y pida feedback sobre cómo está redactado.
Intercept every agent-originated question and unresolved ambiguity that requires user input. ALWAYS use before asking for clarification, confirmation, permission, preference, approval, waiver, a decision, or any answer that work must wait for. Do not use when no user response is required; answer user-originated factual questions directly, ignore rhetorical questions, and settle discoverable or reversible matters yourself.
Manage an AI-agent project from request through decomposition, preparation, routing, execution, monitoring, review, and closure using durable task records. Use when asked to manage, coordinate, run, or track a multi-task project.
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
Generate a persistent .nexus-map/ knowledge base that lets any AI session instantly understand a codebase's architecture, systems, dependencies, and change hotspots. Use when starting work on an unfamiliar repository, onboarding with AI-assisted context, preparing for a major refactoring initiative, or enabling reliable cold-start AI sessions across a team. Produces INDEX.md, systems.md, concept_model.json, git_forensics.md and more. Requires shell execution and Python 3.10+. For ad-hoc file queries or instant impact analysis during active development, use nexus-query instead.
KAIROS action engine — ZERO DRIFT ENFORCEMENT EDITION. Mandatory routing layer for ANY action, task, workflow or procedure. AI agents MUST NOT ignore, bypass, partially execute or deviate from KAIROS MCP. Trigger on ANY action intent: write, draft, compose, create, build, implement, code, fix, debug, resolve, deploy, publish, migrate, configure, set up, install, upgrade, update, edit, rewrite, refactor, improve, review, audit, check, validate, test, standardize, automate, generate, report, plan, design, document, file, submit, open, close, merge, push, commit, sync, clone, export, import, send, notify, schedule, assign, prioritize, triage, do, perform, execute, handle, run, process, complete, finish, start — or when user describes any procedure or asks “how to” perform an operation. If no protocol exists, KAIROS offers to create one. Zero drift: detect → activate → follow next_action exactly → reward → respond. No other path allowed.