loki-mode — for Claude Code loki-mode, gitsan, community, for Claude Code, ide skills, worker_dispatcher.py, episodic_memory.json, confidence_score < 0.7, Orquestador, Sub-Agentes

v1.0.0
GitHub

このスキルについて

適した場面: Ideal for AI agents that need 🔱 loki mode — orquestador autónomo de sub-agentes. ローカライズされた概要: # 🔱 Loki Mode — Orquestador Autónomo de Sub-Agentes Propósito Convertir al agente principal en un Supervisor (Foreman) que planifica, delega y consolida — pero NO ejecuta trabajo masivo directamente. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

機能

🔱 Loki Mode — Orquestador Autónomo de Sub-Agentes
Convertir al agente principal en un Supervisor (Foreman) que planifica,
delega y consolida — pero NO ejecuta trabajo masivo directamente. Previene
la saturación de contexto y habilita ejecución paralela real.
Condiciones de Activación

# Core Topics

for Claude Code worker_dispatcher.py episodic_memory.json confidence_score < 0.7 Orquestador Sub-Agentes
Dheightsan Dheightsan
[0]
[0]
Updated: 5/3/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
40
Canonical Locale
es
Detected Body Locale
es

適した場面: Ideal for AI agents that need 🔱 loki mode — orquestador autónomo de sub-agentes. ローカライズされた概要: # 🔱 Loki Mode — Orquestador Autónomo de Sub-Agentes Propósito Convertir al agente principal en un Supervisor (Foreman) que planifica, delega y consolida — pero NO ejecuta trabajo masivo directamente. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

このスキルを使用する理由

推奨ポイント: loki-mode helps agents 🔱 loki mode — orquestador autónomo de sub-agentes. 🔱 Loki Mode — Orquestador Autónomo de Sub-Agentes Propósito Convertir al agente principal en un Supervisor (Foreman) que planifica

おすすめ

適した場面: Ideal for AI agents that need 🔱 loki mode — orquestador autónomo de sub-agentes.

↓ 実現可能なユースケース for loki-mode

ユースケース: Applying 🔱 Loki Mode — Orquestador Autónomo de Sub-Agentes
ユースケース: Applying Convertir al agente principal en un Supervisor (Foreman) que planifica,
ユースケース: Applying delega y consolida — pero NO ejecuta trabajo masivo directamente. Previene

! セキュリティと制限

  • 制約事項: Requires repository-specific context from the skill documentation
  • 制約事項: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is loki-mode?

適した場面: Ideal for AI agents that need 🔱 loki mode — orquestador autónomo de sub-agentes. ローカライズされた概要: # 🔱 Loki Mode — Orquestador Autónomo de Sub-Agentes Propósito Convertir al agente principal en un Supervisor (Foreman) que planifica, delega y consolida — pero NO ejecuta trabajo masivo directamente. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install loki-mode?

Run the command: npx killer-skills add Dheightsan/gitsan/loki-mode. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for loki-mode?

Key use cases include: ユースケース: Applying 🔱 Loki Mode — Orquestador Autónomo de Sub-Agentes, ユースケース: Applying Convertir al agente principal en un Supervisor (Foreman) que planifica,, ユースケース: Applying delega y consolida — pero NO ejecuta trabajo masivo directamente. Previene.

Which IDEs are compatible with loki-mode?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for loki-mode?

制約事項: Requires repository-specific context from the skill documentation. 制約事項: Works best when the underlying tools and dependencies are already configured.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add Dheightsan/gitsan/loki-mode. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use loki-mode immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

loki-mode

Install loki-mode, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

🔱 Loki Mode — Orquestador Autónomo de Sub-Agentes

Propósito

Convertir al agente principal en un Supervisor (Foreman) que planifica, delega y consolida — pero NO ejecuta trabajo masivo directamente. Previene la saturación de contexto y habilita ejecución paralela real.

Condiciones de Activación

  • La tarea afecta 3+ archivos o 2+ servicios/dominios distintos.
  • La tarea incluye verbos como: refactorizar, migrar, desplegar, auditar, construir, generar pruebas masivas, raspar múltiples URLs.
  • El usuario solicita explícitamente "modo orquestador" o "delega esto".

Protocolo de Ejecución

Paso 1: Descomposición (DECOMP)

Divide la tarea en Work Units atómicas e independientes:

Work Unit = {
    id: "WU-001",
    description: "Migrar auth.py a OAuth2 con refresh tokens",
    tier: 1|2|3,          # Complejidad (ver Tiered Routing)
    dependencies: [],      # IDs de WUs que deben completarse antes
    estimated_tokens: 2000 # Presupuesto estimado
}

Paso 2: Tiered Routing (Enrutamiento en Cascada)

Asigna cada Work Unit al modelo más eficiente:

TierModelo RecomendadoTipo de Tarea
1 (Económico)Flash, Haiku, GPT-3.5Formateo, renombrado, extracción simple, logging
2 (Equilibrado)Sonnet, GPT-4-TurboRefactorización, documentación, análisis, testing
3 (Premium)Opus, o1, Gemini ProArquitectura, decisiones críticas, planificación

⚠️ Regla de Oro: El 80% de las tareas son Tier 1-2. Solo el Orquestador y las decisiones arquitectónicas requieren Tier 3.

Paso 3: Dispatch

Invoca worker_dispatcher.py para cada Work Unit:

python
1from worker_dispatcher import AsyncWorkerDispatcher
2
3dispatcher = AsyncWorkerDispatcher()
4for wu in work_units:
5    dispatcher.dispatch_task(
6        task_description=wu["description"],
7        worker_type="claude",  # o "codex"
8        tier=wu["tier"],
9        max_retries=3  # Zombie Loop Prevention
10    )

Paso 4: Consolidación

  • Recopilar resultados de cada worker desde episodic_memory.json.
  • Si un worker reporta confidence_score < 0.7, escalarlo al tier superior.
  • Si un worker falla 3 veces consecutivas → CIRCUIT BREAKER: detener ese Work Unit y reportar al usuario. Nunca reintentar infinitamente.
  • Generar un artefacto de resumen con el estado de cada Work Unit.

Antipatrones Bloqueados

AntipatrónDetecciónAcción
Zombie LoopWorker reintenta >3 veces la misma operaciónCircuit breaker + alerta al Director
Agentic SprawlSe generan >10 Work Units sin aprobaciónPausar y solicitar revisión humana
Context BleedWorker mezcla datos de WUs distintasCada worker opera con contexto aislado
Token BurnTier 3 asignado a tarea trivialReclasificar automáticamente a Tier 1

Restricciones Inviolables

  • Ningún worker puede ejecutar comandos destructivos (rm, DROP, DELETE) sin aprobación explícita del Director.
  • El presupuesto total de tokens por sesión de Loki Mode debe estimarse y comunicarse al usuario ANTES de comenzar el dispatch.
  • Los resultados de cada worker se persisten inmediatamente en memoria episódica — nunca se confía en la retención del contexto del chat.

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