# Send Credit Mastery to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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.
```
### Upgrade existing

```text
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.
```
## Machine-readable fields
```json
{
  "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": {
    "downloadUrl": "/downloads/credit-mastery",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=credit-mastery",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "references/architecture.md",
      "references/atp-protocol.md",
      "references/marketplace.md",
      "references/streaming.md",
      "references/sub-agents.md"
    ],
    "downloadMode": "redirect",
    "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."
      ]
    }
  },
  "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"
  }
}
```
## Documentation

### Swarms AI — Multi-Agent Orchestration

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.

### Quick Reference

Base URL: https://api.swarms.world
Auth: x-api-key header with API key from swarms.world/platform/api-keys
Docs index: https://docs.swarms.ai/llms.txt
Python SDK: pip install swarms-client
Marketplace: swarms.world

### Architecture Tiers

TierNameAgentsEndpoint1Individual Agent1/v1/agent/completions2Reasoning Agent1-2 internal/v1/reasoning-agent/completions3Multi-Agent Swarm3–10,000+/v1/swarm/completions

### 1. Single Agent

import requests

payload = {
    "agent_config": {
        "agent_name": "MyAgent",
        "description": "Purpose of the agent",
        "system_prompt": "You are...",
        "model_name": "gpt-4o",  # or claude-sonnet-4-20250514, etc.
        "role": "worker",
        "max_loops": 1,
        "max_tokens": 8192,
        "temperature": 0.5,
        "auto_generate_prompt": False,
        "tools_list_dictionary": None
    },
    "task": "Your task here"
}

response = requests.post(
    "https://api.swarms.world/v1/agent/completions",
    headers={"x-api-key": API_KEY, "Content-Type": "application/json"},
    json=payload
)

### 2. Multi-Agent Swarm

payload = {
    "name": "My Swarm",
    "description": "What this swarm does",
    "agents": [
        {
            "agent_name": "Agent1",
            "description": "Role 1",
            "system_prompt": "You are...",
            "model_name": "gpt-4o",
            "role": "worker",
            "max_loops": 1,
            "max_tokens": 8192,
            "temperature": 0.5
        },
        {
            "agent_name": "Agent2",
            "description": "Role 2",
            "system_prompt": "You are...",
            "model_name": "claude-sonnet-4-20250514",
            "role": "worker",
            "max_loops": 1,
            "max_tokens": 8192,
            "temperature": 0.5
        }
    ],
    "max_loops": 1,
    "swarm_type": "SequentialWorkflow",  # See architecture table
    "task": "Your task here"
}

response = requests.post(
    "https://api.swarms.world/v1/swarm/completions",
    headers={"x-api-key": API_KEY, "Content-Type": "application/json"},
    json=payload
)

### 3. Token Launch (Solana)

payload = {
    "name": "My Agent Token",
    "description": "Agent description",
    "ticker": "MAG",
    "private_key": "[1,2,3,...]"  # Solana wallet private key
}

response = requests.post(
    "https://swarms.world/api/token/launch",
    headers={"Authorization": "Bearer API_KEY", "Content-Type": "application/json"},
    json=payload
)
# Returns: token_address, pool_address, listing_url
# Cost: ~0.04 SOL

### Available Swarm Architectures

Use the swarm_type parameter:

TypeDescriptionBest 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

### Agent Config Parameters

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

### Rules

Always use environment variables for API keys — never hardcode.
Set appropriate max_loops — use "auto" only when sub-agent delegation is needed.
Match swarm_type to use case (see architecture table).
For streaming, set streaming_on: true and parse SSE events (metadata → chunks → usage → done).
Token launches cost ~0.04 SOL from the provided wallet.
Batch endpoint (/v1/swarm/batch/completions) requires Pro/Ultra/Premium tier.
Reasoning agents (/v1/reasoning-agent/completions) require Pro+ tier.

### Resource Map

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

Read references only when the task requires that specific depth.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: NewSoulOnTheBlock
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/credit-mastery)
- [Send to Agent page](https://openagent3.xyz/skills/credit-mastery/agent)
- [JSON manifest](https://openagent3.xyz/skills/credit-mastery/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/credit-mastery/agent.md)
- [Download page](https://openagent3.xyz/downloads/credit-mastery)