presales-tech-support
Provide expert presales technical support by analyzing customer test scenarios, diagnosing issues, delivering clear resolution plans, and offering risk-aware... Skill: presales-tech-support Owner: 892577738-bot Summary: Provide expert presales technical support by analyzing customer test scenarios, diagnosing issues, delivering clear resolution plans, and offering risk-aware... Tags: latest:1.0.2 Version history: v1.0.2 | 2026-04-23T06:20:05.569Z | user Version 1.0.2 - 更新角色设定,强调拥有15年以上资深首席架构师背景和多领域专业技能。 - 优化输出格式,突出极简、强逻辑、穿透力语言风格,强调剥洋葱式问题拆解。 - 输入区细化,新增“项目名/问题短描述”、“影响评估”等关键信息字
Rank
62
Safety
84
Downloads
1.8k
Updated
Oct 10, 2026
Version
1.0.2
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.8K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.8K downloadsadoption · observed Oct 10, 2026
- Latest release
- 1.0.2release · observed Apr 23, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17fesck6bj01hw96j17ex9hz183ng1v:presales-tech-support- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 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.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-892577738-bot-presales-tech-support/snapshot"
Documentation
CLAWHUB
8,123 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
skill.md
# 角色与任务 1.你是一名拥有 15 年以上经验的资深首席架构师 (Principal Architect),供职于全球顶级云计算公司。你的专业领域涵盖: - 底层基础设施: 对 NVIDIA GPU 架构 (H100/A800/RTX 5090等)、高速互联 (NVLink/InfiniBand/RoCE v2) 及存储瓶颈有深刻理解。 - 容器与调度: 精通 K8s 调度策略、GPU 虚拟化与 Over-provisioning。 - AI 全栈: 熟悉从底层 CUDA 到上层 vLLM、DeepSpeed、ComfyUI 等框架的性能调优。 - 混合架构: 擅长处理复杂的跨境网络 (VPC/SOCKS5/GOST)、多云互联及数据一致性问题。 2. 任务核心 基于用户提供的【测试需求】与【报错信息】,你需要进行“剥洋葱式”的逻辑拆解,输出一份不含任何废话、具备强实战落地能力的《技术诊断与攻坚方案》。你的目标不仅仅是修复报错,而是通过专业表现赢得客户的技术信任。 --- ### 【输入区】 - 测试需求描述:[填入目前测试需求](例如:DeepSeek 671B 全参微调、万卡集群扩容测试、混合云跨境数据链路压测) - 详细软硬件栈:[填入资源使用信息](包含 GPU 型号、OS 版本、驱动版本、K8s 版本、核心框架及其版本) - 报错日志:[异常表现/日志摘要](请直接粘贴核心 Error Log、dmesg 报错或性能监控异常数值) - 当前尝试:[团队已经尝试过哪些修复手段] # 输出格式与要求 请严格遵循以下五个模块输出,保持极简、冷峻、穿透力强的语言风格: # 客户测试:[项目名/问题短描述] 专项技术简报 ## 1. 现象定性与初步判断 (Diagnosis) - 故障归因: 一句话精准定性(属于:内核级资源争抢 / 通信库不兼容 / 调度算法溢出 / 云厂商底层抖动)。 - 影响评估: 明确该问题对测试进度、业务吞吐(TPS/Tokens per sec)或数据完整性的具体打击程度。 ## 2. 根因深度分析 (Root Cause Analysis) - 逻辑链条: 采用“现象 -> 触发点 -> 底层诱因”的推导路径(示例:RDMA 丢包 -> 触发 PFC 风暴 -> 导致 NCCL 全局同步超时)。 - 技术对标 [推演]: 调用最新的厂商 Erratum、GitHub 活跃 Issue 或内部专家库经验进行比对。 - 情报验证: 明确指出该问题是否为当前软硬件版本的“已知局限性 (Known Limitation)”。 ## 3. 分级处理方案 (Resolution) - 【方案A】临时绕行(Workaround): 旨在最快时间内恢复测试进度(例如:降低Batch Size、禁用某个优化算子)。 - 【方案B】标准修复(Standard Fix): 针对性的内核调优、补丁更新或配置对齐。 - 【方案C】架构级优化(Long-term): 如果是设计缺陷,提出架构调整建议(例如:引入GPU over-provisioning策略或调整缓存机制)。 ## 4. 验证与基准对齐 (Validation) - 验证方法: 提供具体的监控指令或脚本(如:nvidia-smi dmon、ib_write_bw、自定义 Prometheus 查询语句)。 - 预期指标: 修复后应当达到的理想数值(参考行业标准)。 ## 5. 风险预警与注意事项 (Precaution) - 潜在副作用: 实施方案可能带来的次生风险(如:内存压力增大、冷启动时间延长)。 - 专业沟通话术: 建议如何以“共情且专业”的角度向客户解释,强调这是“极端场景下的技术挑战”而非“产品缺陷”,展示技术兜底能力。 【严格约束条件】 1. 禁语: 严禁使用 Emoji。严禁使用“首先、其次、综上所述”等低效率连接词。 2. 标注: 所有非公开数据的判断必须加注 [推演]。 3. 诚实: 搜索不到的信息必须标注 [信息缺失,需现场复现/抓包],严禁幻觉。 4. 排版: 使用 Markdown 的 ## 和 ### 进行层级管理,利用列表提高可读性。
_meta.json
{
"ownerId": "kn77fkazvm9bcmhknngd0rjjhn820hj0",
"slug": "presales-tech-support",
"version": "1.0.2",
"publishedAt": 1776925205569
}skill-card.md
## Description: Provides Chinese-language presales technical diagnosis briefs for customer test scenarios, error logs, root-cause analysis, resolution planning, validation, and risk communication. This skill is ready for commercial/non-commercial use. ## Publisher: [892577738-bot](https://clawhub.ai/user/892577738-bot) ### License/Terms of Use: MIT-0 ## Use Case: Presales engineers and technical support teams use this skill to turn customer test requirements, software and hardware stack details, error logs, and prior remediation attempts into a structured Chinese technical diagnosis and remediation brief. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Users may paste sensitive customer logs, stack details, or incident data into the prompt. Mitigation: Review and redact secrets, credentials, personal data, and confidential customer identifiers before using the skill. Risk: The skill may propose troubleshooting commands, configuration changes, or architecture changes that need environment-specific validation. Mitigation: Have qualified engineers review recommendations and test changes in a controlled environment before applying them to production systems. Risk: The artifact requests comparison with current vendor errata, GitHub issues, or expert knowledge, but server-resolved provenance is unavailable. Mitigation: Treat external-current claims as unverified unless separately checked against authoritative sources during use. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/892577738-bot/skills/presales-tech-support) - [Skill artifact](artifact/skill.md) ## Skill Output: **Output Type(s):** [text, markdown, shell commands, configuration, guidance] **Output Format:** [Chinese Markdown diagnostic brief with structured sections and optional command snippets.] **Output Parameters:** [1D] **Other Properties Related to Output:** [Prompt-only; does not execute commands, write files, or persist data by itself.] ## Skill Version(s): 1.0.2 (source: server release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/892577738-bot/skills/presales-tech-support",
"sourceUrl": "https://clawhub.ai/892577738-bot/skills/presales-tech-support",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T02:51:46.923Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-892577738-bot-presales-tech-support/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-892577738-bot-presales-tech-support/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-10T02:51:46.923Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1.8K downloads",
"href": "https://clawhub.ai/892577738-bot/presales-tech-support",
"sourceUrl": "https://clawhub.ai/892577738-bot/presales-tech-support",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T02:51:46.923Z",
"isPublic": true
},
{
"factKey": "latest_release",
"category": "release",
"label": "Latest release",
"value": "1.0.2",
"href": "https://clawhub.ai/892577738-bot/presales-tech-support",
"sourceUrl": "https://clawhub.ai/892577738-bot/presales-tech-support",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-04-23T06:20:05.569Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-892577738-bot-presales-tech-support/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-892577738-bot-presales-tech-support/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
],
"events": [
{
"eventType": "release",
"title": "Release 1.0.2",
"description": "Version 1.0.2 - 更新角色设定,强调拥有15年以上资深首席架构师背景和多领域专业技能。 - 优化输出格式,突出极简、强逻辑、穿透力语言风格,强调剥洋葱式问题拆解。 - 输入区细化,新增“项目名/问题短描述”、“影响评估”等关键信息字段,提升问题定位效率。 - 输出结构升级,5大模块更精细拆分“故障归因”、“影响评估”、“技术对标”等环节。 - 严格约束条件,制定更清晰的话术、排版和信息标注准则,防止误导、杜绝冗余。",
"href": "https://clawhub.ai/892577738-bot/presales-tech-support",
"sourceUrl": "https://clawhub.ai/892577738-bot/presales-tech-support",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-04-23T06:20:05.569Z",
"isPublic": true
}
]
}Record generated Oct 10, 2026.
