Xpersona

Crawler Summary

prompt-engineering answer-first brief

通用提示词工程与提示词改写技能，用于设计、优化、评审、模板化与迭代 LLM 提示词；当任务涉及明确目标/约束/输出格式、角色与指令层级、few-shot 示例、结构化标签、链式分解、长上下文管理、评估与回归测试、跨模型迁移或提示词标准化时使用。 --- name: prompt-engineering description: 通用提示词工程与提示词改写技能，用于设计、优化、评审、模板化与迭代 LLM 提示词；当任务涉及明确目标/约束/输出格式、角色与指令层级、few-shot 示例、结构化标签、链式分解、长上下文管理、评估与回归测试、跨模型迁移或提示词标准化时使用。 --- Prompt Engineering Overview 面向生产场景的通用提示词工程流程与工具箱，帮助把模糊需求转化为可评估、可复用、可迭代的提示词方案。 Workflow (Production-Ready) 1) 明确目标与评估 - 任务目标、成功标准、失败示例、输出格式与长度上限 - 约束：合规/安全/语气/受众/工具使用/延迟与成本 2) 收集上下文与输入 - 必要背景信息、数据来源、上下文边界、知识盲区 - 需要补充的信息列表；不清楚就先问 3) 选择策略与结构 - 简单任务：清晰直接 Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

prompt-engineering is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 94/100

prompt-engineering

通用提示词工程与提示词改写技能，用于设计、优化、评审、模板化与迭代 LLM 提示词；当任务涉及明确目标/约束/输出格式、角色与指令层级、few-shot 示例、结构化标签、链式分解、长上下文管理、评估与回归测试、跨模型迁移或提示词标准化时使用。 --- name: prompt-engineering description: 通用提示词工程与提示词改写技能，用于设计、优化、评审、模板化与迭代 LLM 提示词；当任务涉及明确目标/约束/输出格式、角色与指令层级、few-shot 示例、结构化标签、链式分解、长上下文管理、评估与回归测试、跨模型迁移或提示词标准化时使用。 --- Prompt Engineering Overview 面向生产场景的通用提示词工程流程与工具箱，帮助把模糊需求转化为可评估、可复用、可迭代的提示词方案。 Workflow (Production-Ready) 1) 明确目标与评估 - 任务目标、成功标准、失败示例、输出格式与长度上限 - 约束：合规/安全/语气/受众/工具使用/延迟与成本 2) 收集上下文与输入 - 必要背景信息、数据来源、上下文边界、知识盲区 - 需要补充的信息列表；不清楚就先问 3) 选择策略与结构 - 简单任务：清晰直接

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Fancyboi999

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/fancyboi999/prompt-engineering.git
  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 Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Fancyboi999

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

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

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 Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

通用提示词工程与提示词改写技能，用于设计、优化、评审、模板化与迭代 LLM 提示词；当任务涉及明确目标/约束/输出格式、角色与指令层级、few-shot 示例、结构化标签、链式分解、长上下文管理、评估与回归测试、跨模型迁移或提示词标准化时使用。 --- name: prompt-engineering description: 通用提示词工程与提示词改写技能，用于设计、优化、评审、模板化与迭代 LLM 提示词；当任务涉及明确目标/约束/输出格式、角色与指令层级、few-shot 示例、结构化标签、链式分解、长上下文管理、评估与回归测试、跨模型迁移或提示词标准化时使用。 --- Prompt Engineering Overview 面向生产场景的通用提示词工程流程与工具箱，帮助把模糊需求转化为可评估、可复用、可迭代的提示词方案。 Workflow (Production-Ready) 1) 明确目标与评估 - 任务目标、成功标准、失败示例、输出格式与长度上限 - 约束：合规/安全/语气/受众/工具使用/延迟与成本 2) 收集上下文与输入 - 必要背景信息、数据来源、上下文边界、知识盲区 - 需要补充的信息列表；不清楚就先问 3) 选择策略与结构 - 简单任务：清晰直接

Full README

name: prompt-engineering description: 通用提示词工程与提示词改写技能，用于设计、优化、评审、模板化与迭代 LLM 提示词；当任务涉及明确目标/约束/输出格式、角色与指令层级、few-shot 示例、结构化标签、链式分解、长上下文管理、评估与回归测试、跨模型迁移或提示词标准化时使用。

Prompt Engineering

Overview

面向生产场景的通用提示词工程流程与工具箱，帮助把模糊需求转化为可评估、可复用、可迭代的提示词方案。

Workflow (Production-Ready)

  1. 明确目标与评估
  • 任务目标、成功标准、失败示例、输出格式与长度上限
  • 约束：合规/安全/语气/受众/工具使用/延迟与成本
  1. 收集上下文与输入
  • 必要背景信息、数据来源、上下文边界、知识盲区
  • 需要补充的信息列表；不清楚就先问
  1. 选择策略与结构
  • 简单任务：清晰直接 + 明确格式
  • 复杂任务：few-shot / 分步 / 链式 / XML / 长上下文
  1. 设计提示词骨架
  • 角色/身份、任务指令、上下文、输入、输出格式、约束、示例
  • 使用模板变量分离固定与动态内容
  1. 评估与迭代
  • 用边界/异常/反例做回归
  • 记录版本与变化原因，保留可复用模板

Strategy Selector

  • 清晰直接：需求含糊或目标复杂但步骤清晰
  • 模板与变量：高频重复任务或多客户场景
  • Few-shot：需要模式学习、风格一致、格式固定
  • XML/结构化：长上下文、多段输入、可解析输出
  • 角色与层级：需要稳定风格与约束时设置 system/developer
  • Chain prompts：任务可拆分或需要自检/复核
  • Long context：多文档或超长输入，要求引用证据
  • Prompt generator/improver：从 0 起草或改写现有提示词
  • Prefill：强制输出前缀或格式起始（平台支持时）
  • Extended thinking：高难推理任务（注意成本与时延）

Deliverables

  • Prompt 规范（必含）：目标、输入、约束、输出格式、示例、评估用例
  • 测试用例：至少 5 个（正常/边界/异常/反例）

References (按需加载)

  • prompt-engineering/references/overview.md: 通用流程与常见问题
  • prompt-engineering/references/be-clear-and-direct.md: 清晰直接写法
  • prompt-engineering/references/multishot-prompting.md: few-shot 设计
  • prompt-engineering/references/chain-of-thought.md: 复杂推理提示
  • prompt-engineering/references/use-xml-tags.md: XML 标签结构化
  • prompt-engineering/references/system-prompts.md: 角色与指令层级
  • prompt-engineering/references/prefill-response.md: 预填充输出
  • prompt-engineering/references/chain-prompts.md: 链式/分步提示
  • prompt-engineering/references/long-context-tips.md: 长上下文技巧
  • prompt-engineering/references/extended-thinking-tips.md: 扩展思考
  • prompt-engineering/references/prompt-templates-and-variables.md: 模板与变量
  • prompt-engineering/references/prompt-generator.md: 生成器
  • prompt-engineering/references/prompt-improver.md: 改写器
  • prompt-engineering/references/claude-4-best-practices.md: 供应商参考
  • prompt-engineering/references/openai-prompt-engineering.md: 供应商参考

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

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/fancyboi999-prompt-engineering/snapshot"
curl -s "https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/contract"
curl -s "https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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 & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

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

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
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 5d 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

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/fancyboi999-prompt-engineering/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-16T23:37:56.828Z"
    }
  },
  "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"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|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": "Fancyboi999",
    "href": "https://github.com/fancyboi999/prompt-engineering",
    "sourceUrl": "https://github.com/fancyboi999/prompt-engineering",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:15:11.049Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T03:15:11.049Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/fancyboi999-prompt-engineering/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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