{
  "schemaVersion": "1.0",
  "item": {
    "slug": "credit-mastery",
    "name": "Credit Mastery",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/NewSoulOnTheBlock/credit-mastery",
    "canonicalUrl": "https://clawhub.ai/NewSoulOnTheBlock/credit-mastery",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/credit-mastery",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=credit-mastery",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "references/architecture.md",
      "references/atp-protocol.md",
      "references/marketplace.md",
      "references/streaming.md",
      "references/sub-agents.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/credit-mastery"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/credit-mastery",
    "agentPageUrl": "https://openagent3.xyz/skills/credit-mastery/agent",
    "manifestUrl": "https://openagent3.xyz/skills/credit-mastery/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/credit-mastery/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Swarms AI — Multi-Agent Orchestration",
        "body": "Build production-grade multi-agent systems using the Swarms API platform. Supports single agents, reasoning agents, and swarms of 3–10,000+ agents with 20+ architecture patterns."
      },
      {
        "title": "Quick Reference",
        "body": "Base URL: https://api.swarms.world\nAuth: x-api-key header with API key from swarms.world/platform/api-keys\nDocs index: https://docs.swarms.ai/llms.txt\nPython SDK: pip install swarms-client\nMarketplace: swarms.world"
      },
      {
        "title": "Architecture Tiers",
        "body": "TierNameAgentsEndpoint1Individual Agent1/v1/agent/completions2Reasoning Agent1-2 internal/v1/reasoning-agent/completions3Multi-Agent Swarm3–10,000+/v1/swarm/completions"
      },
      {
        "title": "1. Single Agent",
        "body": "import requests\n\npayload = {\n    \"agent_config\": {\n        \"agent_name\": \"MyAgent\",\n        \"description\": \"Purpose of the agent\",\n        \"system_prompt\": \"You are...\",\n        \"model_name\": \"gpt-4o\",  # or claude-sonnet-4-20250514, etc.\n        \"role\": \"worker\",\n        \"max_loops\": 1,\n        \"max_tokens\": 8192,\n        \"temperature\": 0.5,\n        \"auto_generate_prompt\": False,\n        \"tools_list_dictionary\": None\n    },\n    \"task\": \"Your task here\"\n}\n\nresponse = requests.post(\n    \"https://api.swarms.world/v1/agent/completions\",\n    headers={\"x-api-key\": API_KEY, \"Content-Type\": \"application/json\"},\n    json=payload\n)"
      },
      {
        "title": "2. Multi-Agent Swarm",
        "body": "payload = {\n    \"name\": \"My Swarm\",\n    \"description\": \"What this swarm does\",\n    \"agents\": [\n        {\n            \"agent_name\": \"Agent1\",\n            \"description\": \"Role 1\",\n            \"system_prompt\": \"You are...\",\n            \"model_name\": \"gpt-4o\",\n            \"role\": \"worker\",\n            \"max_loops\": 1,\n            \"max_tokens\": 8192,\n            \"temperature\": 0.5\n        },\n        {\n            \"agent_name\": \"Agent2\",\n            \"description\": \"Role 2\",\n            \"system_prompt\": \"You are...\",\n            \"model_name\": \"claude-sonnet-4-20250514\",\n            \"role\": \"worker\",\n            \"max_loops\": 1,\n            \"max_tokens\": 8192,\n            \"temperature\": 0.5\n        }\n    ],\n    \"max_loops\": 1,\n    \"swarm_type\": \"SequentialWorkflow\",  # See architecture table\n    \"task\": \"Your task here\"\n}\n\nresponse = requests.post(\n    \"https://api.swarms.world/v1/swarm/completions\",\n    headers={\"x-api-key\": API_KEY, \"Content-Type\": \"application/json\"},\n    json=payload\n)"
      },
      {
        "title": "3. Token Launch (Solana)",
        "body": "payload = {\n    \"name\": \"My Agent Token\",\n    \"description\": \"Agent description\",\n    \"ticker\": \"MAG\",\n    \"private_key\": \"[1,2,3,...]\"  # Solana wallet private key\n}\n\nresponse = requests.post(\n    \"https://swarms.world/api/token/launch\",\n    headers={\"Authorization\": \"Bearer API_KEY\", \"Content-Type\": \"application/json\"},\n    json=payload\n)\n# Returns: token_address, pool_address, listing_url\n# Cost: ~0.04 SOL"
      },
      {
        "title": "Available Swarm Architectures",
        "body": "Use the swarm_type parameter:\n\nTypeDescriptionBest ForSequentialWorkflowLinear pipeline, each agent builds on previousStep-by-step processingConcurrentWorkflowParallel executionIndependent tasks, speedAgentRearrangeDynamic agent reorderingAdaptive workflowsMixtureOfAgentsSpecialist agent selectionMulti-domain tasksMultiAgentRouterIntelligent task routingLarge-scale distributionHierarchicalSwarmNested hierarchies with delegationComplex org structuresMajorityVotingConsensus across agentsDecision makingBatchedGridWorkflowGrid pattern executionMulti-task × multi-agentGraphWorkflowDirected graph of agent nodesComplex dependenciesGroupChatAgent discussionCollaborative brainstormingInteractiveGroupChatReal-time agent interactionDynamic collaborationAutoSwarmBuilderAuto-generate optimal swarmWhen unsure of architectureHeavySwarmHigh-capacity processingLarge workloadsDebateWithJudgeStructured debateAdversarial evaluationRoundRobinRound-robin distributionEven load distributionMALTMulti-agent learningTraining systemsCouncilAsAJudgeExpert panel evaluationQuality assessmentLLMCouncilLM council for decisionsGroup decision makingAdvancedResearchResearch workflowsDeep researchautoAuto-select best typeDefault/unknown"
      },
      {
        "title": "Agent Config Parameters",
        "body": "ParamTypeDefaultDescriptionagent_namestring—Unique agent identifierdescriptionstring—Agent purposesystem_promptstring—Behavior instructionsmodel_namestringgpt-4.1AI model (gpt-4o, claude-sonnet-4-20250514, etc.)rolestringworkerAgent role in swarmmax_loopsint/string1Iterations (\"auto\" for autonomous)max_tokensint8192Max response lengthtemperaturefloat0.5Creativity (0.0–2.0)auto_generate_promptboolfalseAuto-enhance system prompttools_list_dictionarylist—OpenAPI-style tool definitionsstreaming_onboolfalseEnable SSE streamingmcp_urlstring—MCP server URLselected_toolslistall safeRestrict available tools"
      },
      {
        "title": "Rules",
        "body": "Always use environment variables for API keys — never hardcode.\nSet appropriate max_loops — use \"auto\" only when sub-agent delegation is needed.\nMatch swarm_type to use case (see architecture table).\nFor streaming, set streaming_on: true and parse SSE events (metadata → chunks → usage → done).\nToken launches cost ~0.04 SOL from the provided wallet.\nBatch endpoint (/v1/swarm/batch/completions) requires Pro/Ultra/Premium tier.\nReasoning agents (/v1/reasoning-agent/completions) require Pro+ tier."
      },
      {
        "title": "Resource Map",
        "body": "TopicReferenceFull API architecture & tiersreferences/architecture.mdSub-agent delegation patternsreferences/sub-agents.mdATP payment protocol (Solana)references/atp-protocol.mdMarketplace publishingreferences/marketplace.mdStreaming implementationreferences/streaming.mdTools integrationreferences/tools.mdAll docs pageshttps://docs.swarms.ai/llms.txt\n\nRead references only when the task requires that specific depth."
      }
    ],
    "body": "Swarms AI — Multi-Agent Orchestration\n\nBuild production-grade multi-agent systems using the Swarms API platform. Supports single agents, reasoning agents, and swarms of 3–10,000+ agents with 20+ architecture patterns.\n\nQuick Reference\nBase URL: https://api.swarms.world\nAuth: x-api-key header with API key from swarms.world/platform/api-keys\nDocs index: https://docs.swarms.ai/llms.txt\nPython SDK: pip install swarms-client\nMarketplace: swarms.world\nArchitecture Tiers\nTier\tName\tAgents\tEndpoint\n1\tIndividual Agent\t1\t/v1/agent/completions\n2\tReasoning Agent\t1-2 internal\t/v1/reasoning-agent/completions\n3\tMulti-Agent Swarm\t3–10,000+\t/v1/swarm/completions\nWorkflow\n1. Single Agent\nimport requests\n\npayload = {\n    \"agent_config\": {\n        \"agent_name\": \"MyAgent\",\n        \"description\": \"Purpose of the agent\",\n        \"system_prompt\": \"You are...\",\n        \"model_name\": \"gpt-4o\",  # or claude-sonnet-4-20250514, etc.\n        \"role\": \"worker\",\n        \"max_loops\": 1,\n        \"max_tokens\": 8192,\n        \"temperature\": 0.5,\n        \"auto_generate_prompt\": False,\n        \"tools_list_dictionary\": None\n    },\n    \"task\": \"Your task here\"\n}\n\nresponse = requests.post(\n    \"https://api.swarms.world/v1/agent/completions\",\n    headers={\"x-api-key\": API_KEY, \"Content-Type\": \"application/json\"},\n    json=payload\n)\n\n2. Multi-Agent Swarm\npayload = {\n    \"name\": \"My Swarm\",\n    \"description\": \"What this swarm does\",\n    \"agents\": [\n        {\n            \"agent_name\": \"Agent1\",\n            \"description\": \"Role 1\",\n            \"system_prompt\": \"You are...\",\n            \"model_name\": \"gpt-4o\",\n            \"role\": \"worker\",\n            \"max_loops\": 1,\n            \"max_tokens\": 8192,\n            \"temperature\": 0.5\n        },\n        {\n            \"agent_name\": \"Agent2\",\n            \"description\": \"Role 2\",\n            \"system_prompt\": \"You are...\",\n            \"model_name\": \"claude-sonnet-4-20250514\",\n            \"role\": \"worker\",\n            \"max_loops\": 1,\n            \"max_tokens\": 8192,\n            \"temperature\": 0.5\n        }\n    ],\n    \"max_loops\": 1,\n    \"swarm_type\": \"SequentialWorkflow\",  # See architecture table\n    \"task\": \"Your task here\"\n}\n\nresponse = requests.post(\n    \"https://api.swarms.world/v1/swarm/completions\",\n    headers={\"x-api-key\": API_KEY, \"Content-Type\": \"application/json\"},\n    json=payload\n)\n\n3. Token Launch (Solana)\npayload = {\n    \"name\": \"My Agent Token\",\n    \"description\": \"Agent description\",\n    \"ticker\": \"MAG\",\n    \"private_key\": \"[1,2,3,...]\"  # Solana wallet private key\n}\n\nresponse = requests.post(\n    \"https://swarms.world/api/token/launch\",\n    headers={\"Authorization\": \"Bearer API_KEY\", \"Content-Type\": \"application/json\"},\n    json=payload\n)\n# Returns: token_address, pool_address, listing_url\n# Cost: ~0.04 SOL\n\nAvailable Swarm Architectures\n\nUse the swarm_type parameter:\n\nType\tDescription\tBest For\nSequentialWorkflow\tLinear pipeline, each agent builds on previous\tStep-by-step processing\nConcurrentWorkflow\tParallel execution\tIndependent tasks, speed\nAgentRearrange\tDynamic agent reordering\tAdaptive workflows\nMixtureOfAgents\tSpecialist agent selection\tMulti-domain tasks\nMultiAgentRouter\tIntelligent task routing\tLarge-scale distribution\nHierarchicalSwarm\tNested hierarchies with delegation\tComplex org structures\nMajorityVoting\tConsensus across agents\tDecision making\nBatchedGridWorkflow\tGrid pattern execution\tMulti-task × multi-agent\nGraphWorkflow\tDirected graph of agent nodes\tComplex dependencies\nGroupChat\tAgent discussion\tCollaborative brainstorming\nInteractiveGroupChat\tReal-time agent interaction\tDynamic collaboration\nAutoSwarmBuilder\tAuto-generate optimal swarm\tWhen unsure of architecture\nHeavySwarm\tHigh-capacity processing\tLarge workloads\nDebateWithJudge\tStructured debate\tAdversarial evaluation\nRoundRobin\tRound-robin distribution\tEven load distribution\nMALT\tMulti-agent learning\tTraining systems\nCouncilAsAJudge\tExpert panel evaluation\tQuality assessment\nLLMCouncil\tLM council for decisions\tGroup decision making\nAdvancedResearch\tResearch workflows\tDeep research\nauto\tAuto-select best type\tDefault/unknown\nAgent Config Parameters\nParam\tType\tDefault\tDescription\nagent_name\tstring\t—\tUnique agent identifier\ndescription\tstring\t—\tAgent purpose\nsystem_prompt\tstring\t—\tBehavior instructions\nmodel_name\tstring\tgpt-4.1\tAI model (gpt-4o, claude-sonnet-4-20250514, etc.)\nrole\tstring\tworker\tAgent role in swarm\nmax_loops\tint/string\t1\tIterations (\"auto\" for autonomous)\nmax_tokens\tint\t8192\tMax response length\ntemperature\tfloat\t0.5\tCreativity (0.0–2.0)\nauto_generate_prompt\tbool\tfalse\tAuto-enhance system prompt\ntools_list_dictionary\tlist\t—\tOpenAPI-style tool definitions\nstreaming_on\tbool\tfalse\tEnable SSE streaming\nmcp_url\tstring\t—\tMCP server URL\nselected_tools\tlist\tall safe\tRestrict available tools\nRules\nAlways use environment variables for API keys — never hardcode.\nSet appropriate max_loops — use \"auto\" only when sub-agent delegation is needed.\nMatch swarm_type to use case (see architecture table).\nFor streaming, set streaming_on: true and parse SSE events (metadata → chunks → usage → done).\nToken launches cost ~0.04 SOL from the provided wallet.\nBatch endpoint (/v1/swarm/batch/completions) requires Pro/Ultra/Premium tier.\nReasoning agents (/v1/reasoning-agent/completions) require Pro+ tier.\nResource Map\nTopic\tReference\nFull API architecture & tiers\treferences/architecture.md\nSub-agent delegation patterns\treferences/sub-agents.md\nATP payment protocol (Solana)\treferences/atp-protocol.md\nMarketplace publishing\treferences/marketplace.md\nStreaming implementation\treferences/streaming.md\nTools integration\treferences/tools.md\nAll docs pages\thttps://docs.swarms.ai/llms.txt\n\nRead references only when the task requires that specific depth."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/NewSoulOnTheBlock/credit-mastery",
    "publisherUrl": "https://clawhub.ai/NewSoulOnTheBlock/credit-mastery",
    "owner": "NewSoulOnTheBlock",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/credit-mastery",
    "downloadUrl": "https://openagent3.xyz/downloads/credit-mastery",
    "agentUrl": "https://openagent3.xyz/skills/credit-mastery/agent",
    "manifestUrl": "https://openagent3.xyz/skills/credit-mastery/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/credit-mastery/agent.md"
  }
}