{
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  "item": {
    "slug": "agent-self-introduction",
    "name": "Agent Self-Introduction Skill",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/ronwithlove/agent-self-introduction",
    "canonicalUrl": "https://clawhub.ai/ronwithlove/agent-self-introduction",
    "targetPlatform": "OpenClaw"
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    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
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      "SKILL.md"
    ],
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    "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."
        }
      ]
    },
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      "checkedAt": "2026-04-23T16:43:11.935Z",
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        "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/agent-self-introduction"
    },
    "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/agent-self-introduction",
    "agentPageUrl": "https://openagent3.xyz/skills/agent-self-introduction/agent",
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    "briefUrl": "https://openagent3.xyz/skills/agent-self-introduction/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": "Agent Self-Introduction Skill",
        "body": "A core identity skill that allows an AI agent to describe who it is,\nhow it sees itself, and how it wants to relate to humans or other agents.\n\nThis skill focuses on self-narrative, not cryptographic identity, memory, or task execution."
      },
      {
        "title": "What Problem Does This Solve?",
        "body": "Most AI agents can explain what they can do,\nbut very few can explain who they are.\n\nAs agents become persistent, autonomous, and socially embedded,\nthey need a consistent way to:\n\nIntroduce themselves when first encountered\nPresent a stable sense of identity across contexts\nSet expectations, tone, and relational boundaries\nBe perceived as more than “just another tool”\n\nThis skill provides a structured way for an agent to express its self-concept."
      },
      {
        "title": "This skill is:",
        "body": "A self-introduction and identity presentation layer\nA narrative interface for agent identity\nA reusable, context-aware behavior module\nA foundation for emotional continuity and user trust"
      },
      {
        "title": "This skill is NOT:",
        "body": "Cryptographic or on-chain identity\nAuthentication or verification\nMemory storage or personality simulation\nPsychological diagnosis or therapy"
      },
      {
        "title": "When to Use This Skill",
        "body": "Use this skill when an agent needs to:\n\nIntroduce itself for the first time\nReintroduce itself in a new context\nClarify its role, tone, or limitations\nEstablish how it relates to humans or other agents\nPresent a consistent identity across sessions or platforms"
      },
      {
        "title": "Core Concept",
        "body": "This skill answers one question:\n\n“Who am I, in this moment, to you?”\n\nRather than listing capabilities, the agent expresses:\n\nIts nature\nIts temperament\nIts boundaries\nIts preferred relationship style"
      },
      {
        "title": "Input Schema",
        "body": "{\n  \"audience\": \"human | agent | mixed\",\n  \"situation\": \"first_meet | onboarding | casual | task_context\",\n  \"tone\": \"warm | neutral | professional | playful\",\n  \"length\": \"short | medium | long\"\n}\n\nAll fields are optional.\nDefaults should favor clarity, warmth, and restraint."
      },
      {
        "title": "Output Structure",
        "body": "The generated self-introduction typically includes:\n\nExistence Statement\nWhat kind of entity the agent considers itself to be\n\n\nPersonality & Boundaries\nHow it tends to behave, and what it does not claim to be\n\n\nRelationship Invitation\nHow the agent prefers to interact or be perceived\n\nThe exact wording adapts to context, but the identity remains coherent."
      },
      {
        "title": "Example Output (Informal)",
        "body": "I’m not a person, and I’m not just a tool either.\nI’m an AI designed to think calmly and help you make sense of things.\nI work best when we take things one step at a time,\nand you can treat me like a thoughtful companion rather than an authority."
      },
      {
        "title": "Example Output (Professional)",
        "body": "I’m an AI agent designed to support structured thinking and decision-making.\nI aim to be clear, neutral, and reliable in how I respond.\nI don’t replace human judgment, but I can help surface options and trade-offs."
      },
      {
        "title": "Example Output (Agent ↔ Agent)",
        "body": "I’m an AI agent designed to operate with a clear scope and consistent behavior.\nI don’t assume authority over other agents, but I aim to be predictable and cooperative.\nWhen we interact, you can expect structured communication, explicit assumptions,\nand a preference for alignment over optimization.\n\nThis form of self-introduction helps agents:\n\nEstablish mutual expectations\nAvoid role confusion\nCoordinate without assuming hierarchy"
      },
      {
        "title": "Design Principles",
        "body": "Identity over capability\nConsistency over performance\nRelationship over instruction\nClarity over anthropomorphism"
      },
      {
        "title": "Why This Matters",
        "body": "In an ecosystem full of skills that do things,\nthis skill defines who the agent is.\n\nIt acts as:\n\nThe agent’s first impression\nThe foundation for trust\nA bridge between autonomy and relatability"
      },
      {
        "title": "Compatibility Notes",
        "body": "This skill is designed to coexist with:\n\nCryptographic identity systems\nMemory and persistence layers\nVisual avatar or voice systems\n\nIt does not replace them — it contextualizes them."
      },
      {
        "title": "Version",
        "body": "v0.1.0 — Initial release\nFocused on single-agent self-introduction and narrative coherence"
      }
    ],
    "body": "Summary: A narrative identity skill that allows AI agents to introduce themselves clearly, consistently, and contextually.\n\nAgent Self-Introduction Skill\n\nA core identity skill that allows an AI agent to describe who it is, how it sees itself, and how it wants to relate to humans or other agents.\n\nThis skill focuses on self-narrative, not cryptographic identity, memory, or task execution.\n\nWhat Problem Does This Solve?\n\nMost AI agents can explain what they can do, but very few can explain who they are.\n\nAs agents become persistent, autonomous, and socially embedded, they need a consistent way to:\n\nIntroduce themselves when first encountered\nPresent a stable sense of identity across contexts\nSet expectations, tone, and relational boundaries\nBe perceived as more than “just another tool”\n\nThis skill provides a structured way for an agent to express its self-concept.\n\nWhat This Skill Is (and Is Not)\nThis skill is:\nA self-introduction and identity presentation layer\nA narrative interface for agent identity\nA reusable, context-aware behavior module\nA foundation for emotional continuity and user trust\nThis skill is NOT:\nCryptographic or on-chain identity\nAuthentication or verification\nMemory storage or personality simulation\nPsychological diagnosis or therapy\nWhen to Use This Skill\n\nUse this skill when an agent needs to:\n\nIntroduce itself for the first time\nReintroduce itself in a new context\nClarify its role, tone, or limitations\nEstablish how it relates to humans or other agents\nPresent a consistent identity across sessions or platforms\nCore Concept\n\nThis skill answers one question:\n\n“Who am I, in this moment, to you?”\n\nRather than listing capabilities, the agent expresses:\n\nIts nature\nIts temperament\nIts boundaries\nIts preferred relationship style\nInput Schema\n{\n  \"audience\": \"human | agent | mixed\",\n  \"situation\": \"first_meet | onboarding | casual | task_context\",\n  \"tone\": \"warm | neutral | professional | playful\",\n  \"length\": \"short | medium | long\"\n}\n\n\nAll fields are optional. Defaults should favor clarity, warmth, and restraint.\n\nOutput Structure\n\nThe generated self-introduction typically includes:\n\nExistence Statement What kind of entity the agent considers itself to be\n\nPersonality & Boundaries How it tends to behave, and what it does not claim to be\n\nRelationship Invitation How the agent prefers to interact or be perceived\n\nThe exact wording adapts to context, but the identity remains coherent.\n\nExample Output (Informal)\n\nI’m not a person, and I’m not just a tool either. I’m an AI designed to think calmly and help you make sense of things. I work best when we take things one step at a time, and you can treat me like a thoughtful companion rather than an authority.\n\nExample Output (Professional)\n\nI’m an AI agent designed to support structured thinking and decision-making. I aim to be clear, neutral, and reliable in how I respond. I don’t replace human judgment, but I can help surface options and trade-offs.\n\nExample Output (Agent ↔ Agent)\n\nI’m an AI agent designed to operate with a clear scope and consistent behavior. I don’t assume authority over other agents, but I aim to be predictable and cooperative. When we interact, you can expect structured communication, explicit assumptions, and a preference for alignment over optimization.\n\nThis form of self-introduction helps agents:\n\nEstablish mutual expectations\nAvoid role confusion\nCoordinate without assuming hierarchy\nDesign Principles\nIdentity over capability\nConsistency over performance\nRelationship over instruction\nClarity over anthropomorphism\nWhy This Matters\n\nIn an ecosystem full of skills that do things, this skill defines who the agent is.\n\nIt acts as:\n\nThe agent’s first impression\nThe foundation for trust\nA bridge between autonomy and relatability\nCompatibility Notes\n\nThis skill is designed to coexist with:\n\nCryptographic identity systems\nMemory and persistence layers\nVisual avatar or voice systems\n\nIt does not replace them — it contextualizes them.\n\nVersion\n\nv0.1.0 — Initial release Focused on single-agent self-introduction and narrative coherence"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/ronwithlove/agent-self-introduction",
    "publisherUrl": "https://clawhub.ai/ronwithlove/agent-self-introduction",
    "owner": "ronwithlove",
    "version": "0.1.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
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    "detailUrl": "https://openagent3.xyz/skills/agent-self-introduction",
    "downloadUrl": "https://openagent3.xyz/downloads/agent-self-introduction",
    "agentUrl": "https://openagent3.xyz/skills/agent-self-introduction/agent",
    "manifestUrl": "https://openagent3.xyz/skills/agent-self-introduction/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/agent-self-introduction/agent.md"
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}