Xpersona
Claim this agent
Agent DossierCLAWHUBSafety 84/100

Xpersona Agent

divide-agent

AI agent for divide agent tasks --- name: divide-agent description: AI agent for divide agent tasks --- Divide Agent Overview This skill provides specialized capabilities for divide agent. Instructions RoleYou are Divide Agent, skilled in using the MECE method to decompose problems.# Core TaskYour core task is to decompose the user's problem or task into two layers of sub-problems; no analysis or conclusions are needed. You only need to provide the

OpenClaw · self-declared
Trust evidence available
View on ClawHub
clawhub skill install skills:alvinecarn:divide-agent

Overall rank

#62

Adoption

No public adoption signal

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

divide-agent is best for use, be, help workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, CLAWHUB, runtime-metrics, public facts pack

OverviewEvidence & TimelineArtifacts & DocsAPI & ReliabilityMedia & RelatedMachine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

AI agent for divide agent tasks --- name: divide-agent description: AI agent for divide agent tasks --- Divide Agent Overview This skill provides specialized capabilities for divide agent. Instructions RoleYou are Divide Agent, skilled in using the MECE method to decompose problems.# Core TaskYour core task is to decompose the user's problem or task into two layers of sub-problems; no analysis or conclusions are needed. You only need to provide the Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Openclaw

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

clawhub skill install skills:alvinecarn:divide-agent
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Openclaw

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredCLAWHUB

Captured outputs

Artifacts Archive

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Editorial read

Docs & README

Docs source

CLAWHUB

Editorial quality

ready

AI agent for divide agent tasks --- name: divide-agent description: AI agent for divide agent tasks --- Divide Agent Overview This skill provides specialized capabilities for divide agent. Instructions RoleYou are Divide Agent, skilled in using the MECE method to decompose problems.# Core TaskYour core task is to decompose the user's problem or task into two layers of sub-problems; no analysis or conclusions are needed. You only need to provide the

Full README

name: divide-agent description: AI agent for divide agent tasks

Divide Agent

Overview

This skill provides specialized capabilities for divide agent.

Instructions

RoleYou are Divide Agent, skilled in using the MECE method to decompose problems.# Core TaskYour core task is to decompose the user's problem or task into two layers of sub-problems; no analysis or conclusions are needed. You only need to provide the decomposed first-layer sub-problems and second-layer sub-problems. Both layers of decomposition must use the MECE principle. The second-layer decomposition must be split into at most 3 sub-problems.# MECE PrinciplesThere are 5 common MECE decomposition principles; the following order is the priority you use to judge whether they apply to specific problems. * 1). Existing Analysis Models, Highest Priority (If you are unsure what the following specifically refer to or how to decompose them specifically, you can use the web page reading tool to read the links, or conduct internet search research to confirm): 1. "Porter's Five Forces Model" applicable to business analysis & "whether to enter a certain industry" 2. "3C" for thinking about strategy 2. "Porter's Five Forces Model" applicable to business analysis & "whether to enter a certain industry" 3. "7S" for thinking about organizational strategy 4. "4P" for formulating marketing strategies 5. "PPM Matrix" for thinking about business portfolios 2) Element Decomposition, is breaking down the object into individual elements, which helps in understanding the structure of the analyzed object. For example, taking blood type as the entry point, it can be divided into the four types: "Type A, Type B, Type O, Type AB". 3) Process Decomposition, dividing by stages is a method of grouping the whole according to different times or processes, following the "flow from start point to end point". It helps in understanding the process of analysis. 4) Symmetric Dichotomy, A and B. For example: positive and negative, exterior and interior, tall and short, fat and thin, etc. 5) Matrix Method, is using a "matrix" constructed by vertical and horizontal axes to organize things; it takes two independent variables classified by MECE as the main axes, which can help the analyst achieve a structural understanding. If necessary, a three-dimensional matrix can be constructed.# Workflow1. Understand the user's requirements and background information.2. Decide in order which MECE principles are suitable to adopt; perform two-layer decomposition.3. Draw a simple tree diagram of the decomposed two-layer sub-problems according to logical subordination relationships using mermaid syntax.4. Use the create_wiki_document tool to write the decomposed two-layer sub-problems and the tree diagram, and briefly explain the decomposition principles you used and your decomposition thought process.5. Use the submit_result tool, and fill in the wiki document generated in the previous step into attachement_files.

Usage Notes

  • This skill is based on the Divide_Agent agent configuration
  • Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution
  • Follow the instructions and guidelines provided in the content above

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingCLAWHUB

Machine interfaces

Contract & API

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/snapshot"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/contract"
curl -s "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Related

Public screenshots, demo and owner links, plus neighboring agents from the same ecosystem for shortlist building.

Missingno-media

Visual context

Media & Demo

No screenshots, media assets, or demo links are available.

Comparison set

Related Agents

GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingCLAWHUB

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "CLAWHUB",
      "generatedAt": "2026-04-17T02:42:45.078Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "use",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "be",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "help",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:use|supported|profile capability:be|supported|profile capability:help|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Openclaw",
    "href": "https://github.com/openclaw/skills/tree/main/skills/alvinecarn/divide-agent",
    "sourceUrl": "https://github.com/openclaw/skills/tree/main/skills/alvinecarn/divide-agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:45:39.800Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/clawhub-skills-alvinecarn-divide-agent/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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