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Speckit Swarm

Orchestrates complex tasks by detecting keywords, decomposing work into parallel chunks, and coordinating multiple specialized agent personas for full execut...

skill openclawclawhub Free
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Orchestrates complex tasks by detecting keywords, decomposing work into parallel chunks, and coordinating multiple specialized agent personas for full execut...

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Install for OpenClaw

Known item issue.

This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.

Quick setup
  1. Open the source page and confirm the package flow manually.
  2. Review SKILL.md if you can obtain the files.
  3. Treat this source as manual setup until the download is verified.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Manual review
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, _meta.json, src/complexity.ts, src/concurrency.ts, src/index.ts, src/personas/explore.ts

Validation

  • Open the source listing and confirm there is a real package or setup artifact available.
  • Review SKILL.md before asking your agent to continue.
  • Treat this source as manual setup until the upstream download flow is fixed.

Install with your agent

Agent handoff

Use the source page and any available docs to guide the install because the item currently does not return a direct package file.

  1. Open the source page via Open source listing.
  2. If you can obtain the package, extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the source page and extracted files.
New install

I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.

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I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 19 sections Open source page

Overview

Native implementation of oh-my-opencode-style orchestration using OpenClaw's tools.

Core Components

Ultrawork Detector - Detects "ulw"/"ultrawork" keywords and triggers parallel execution Agent Personas - Specialized system prompts for different tasks Task Planner - Breaks complex tasks into parallel chunks Continuation Enforcer - Ensures tasks complete fully

File Structure

skills/speckit-swarm/ ├── SKILL.md # This file ├── src/ │ ├── ultrawork.ts # Ultrawork detection & trigger │ ├── personas/ │ │ ├── mod.ts # Persona exports │ │ ├── sisyphus.ts # Main orchestrator │ │ ├── hephaestus.ts # Deep worker │ │ ├── oracle.ts # Design/debug │ │ ├── librarian.ts # Research/docs │ │ └── explore.ts # Fast scout │ ├── planner.ts # Task decomposition │ └── index.ts # Main entry

Manual Mode

# Use personas directly sessions_spawn task:"..." model:"minimax-m2.5" thinking:"high"

Ultrawork Mode

When user includes "ulw" or "ultrawork": Detect keyword Decompose task into parallel chunks Execute with parallel_spawn Aggregate results

Sisyphus (Main Orchestrator)

Model: minimax-m2.5 Thinking: high Behavior: Relentless execution, parallel coordination, todo tracking

Hephaestus (Deep Worker)

Model: minimax-m2.5 Thinking: high Behavior: Autonomous execution, no hand-holding, completes full scope

Oracle (Design/Debug)

Model: minimax-m2.5 Thinking: high Behavior: Architecture decisions, bug hunting, code review

Librarian (Research)

Model: minimax-m2.1 Thinking: medium Behavior: Docs lookup, code exploration, pattern finding

Explore (Scout)

Model: minimax-m2.5-highspeed Thinking: low Behavior: Fast grep, file finding, quick analysis

1. Direct Persona Usage

import { PERSONAS, buildTaskPrompt } from './speckit-swarm'; const persona = PERSONAS.hephaestus; const task = "Fix the login bug in auth.ts"; sessions_spawn({ task: buildTaskPrompt({ task, persona: 'hephaestus' }), model: persona.config.model, thinking: persona.config.thinking });

2. Ultrawork Mode (auto-detected)

When user includes "ulw" or "ultrawork": import { planTask, shouldUseUltrawork } from './speckit-swarm'; const task = "ulw refactor the auth module"; if (shouldUseUltrawork(task)) { const plan = planTask(task); // Execute plan.chunks with parallel_spawn }

3. Task Decomposition

import { planTask } from './speckit-swarm'; const plan = planTask("Create a new API endpoint"); // plan.chunks = [{ label: 'spec', ... }, { label: 'setup', ... }, ...]

Ultrawork Handler

O handler detecta "ulw" automaticamente e prepara tarefas para parallel_spawn.

Funções Exportadas

// Verifica se contém keyword ulw containsUltrawork(task: string): boolean // Limpa o prefixo ulw da tarefa cleanUltraworkTask(task: string): string // Prepara execução ultrawork prepareUltrawork(task: string): { shouldExecute: boolean; chunks: Array<{ label: string; task: string; model?: string; thinking?: string; }>; cleanedTask: string; }

Exemplo de Uso

// Na minha resposta, quando receber mensagem com "ulw": const ultrawork = prepareUltrawork("ulw create a new API"); if (ultrawork.shouldExecute) { // Executar com parallel_spawn parallel_spawn({ tasks: ultrawork.chunks, wait: "all" }); }

Análise de Segurança de Concorrência

Antes de paralelizar, verifico se não há conflitos: Tipo de TarefaEstratégiaCriar novo projeto/CLI/APIPARALLEL ✓Múltiplos arquivos novosPARALLEL ✓Refatorar móduloCAUTIOUS (verifica dependências)Corrigir bugSEQUENTIAL ✗Editar mesmo arquivoSEQUENTIAL ✗Tarefa simplesSINGLE

Fluxo de Decisão

Analiso complexidade - É uma tarefa grande? Verifico conflitos - Vai mexer no mesmo arquivo? Decido estratégia - parallel / sequential / single Isso evita problemas de concorrência quando múltiplos agentes tentam modificar o mesmo arquivo.

Exemplo de Uso

// Detecção automática const result = prepareParallelExecution("criar um novo CLI"); // result.shouldExecute = true (detectou complexidade) if (result.shouldExecute) { parallel_spawn({ tasks: result.chunks, wait: "all" }); }

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Scripts1 Docs1 Config
  • SKILL.md Primary doc
  • src/complexity.ts Scripts
  • src/concurrency.ts Scripts
  • src/index.ts Scripts
  • src/personas/explore.ts Scripts
  • _meta.json Config