Tob Win Loss Review
ToB销售丢单复盘助手。输入行业/规模/阶段/竞品/关键事件，使用原创销售经验规则引擎输出根因分析、风险信号和改进建议。 Skill: Tob Win Loss Review Owner: william202404 Summary: ToB销售丢单复盘助手。输入行业/规模/阶段/竞品/关键事件，使用原创销售经验规则引擎输出根因分析、风险信号和改进建议。 Tags: latest:2.0.2 Version history: v2.0.2 | 2026-07-07T16:18:19.828Z | auto - Added detailed usage documentation in README.md. - Introduced scripts/tob_win_loss_review.py file, setting up the main script structure. - Minor metadata alignment in SKILL.md (added slug, displayName fields). v2.0.1 | 2026
Rank
62
Safety
84
Downloads
964
Updated
Oct 12, 2026
Version
2.0.2
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 964 downloads reported by the source. Last updated 10/12/2026.
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 12, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 12, 2026
- Adoption signal
- 964 downloadsadoption · observed Oct 12, 2026
- Latest release
- 2.0.2release · observed Jul 7, 2026
- Handshake status
- UNKNOWNsecurity
What changed
Newest first. Only changes that point at a source are listed.
Release 2.0.2release
- Added detailed usage documentation in README.md. - Introduced scripts/tob_win_loss_review.py file, setting up the main script structure. - Minor metadata alignment in SKILL.md (added slug, displayName fields).
Observed Jul 7, 2026 · source
Install and run
Setup complexity: low.
clawhub skill install s176t36qq1w6j18d0hyxc24yhx83pa2x:tob-win-loss-review- 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-william202404-tob-win-loss-review/snapshot"
Run-check
$0.02 USD1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.
Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.
Documentation
CLAWHUB
14,569 characters of source documentation, loaded on request.
Extracted files
4 files captured from the source.
SKILL.md
--- name: tob-win-loss-review slug: tob-win-loss-review displayName: 丢单复盘助手 version: 2.0.0 description: ToB销售丢单复盘助手。输入行业/规模/阶段/竞品/关键事件，使用原创销售经验规则引擎输出根因分析、风险信号和改进建议。 priority: high source: experience-backed workers: [tech, sales, checker] created: 2026-05-15 tags: [tob, sales, win-loss, review, rules] --- # tob-win-loss-review — 丢单复盘助手 ## 何时使用 当用户需要复盘 ToB 销售丢单原因，并希望基于行业、销售阶段、关键事件快速得到可执行改进建议时使用。 本技能为**纯规则引擎**，规则来自多年 ToB 销售与解决方案实践经验；不读取、不打包任何客户商业资产。 ## 使用方式 ### 交互模式 ```bash tob-win-loss-review ``` ### 快速模式 ```bash tob-win-loss-review --industry 零售 --size 大型 --duration 4个月 --stage 报价谈判 --competitor 略 --event "客户说我们价格比竞品高30%，虽然我们功能更全但对方预算有限" ``` ### JSON 调试 ```bash tob-win-loss-review ... --json ``` ## 实现逻辑 1. 行业规则：识别不同行业的共性风险与价值包装重点 2. 阶段规则：按报价谈判、POC、方案、合同等阶段判断控制点缺口 3. 事件规则：从关键事件中触发价格、竞品、决策链、POC等风险模式 4. 概率排序：保留核心原因 / 辅助原因 / 潜在风险结构 5. 建议输出：短期动作 / 中期能力 / 长期体系化 ## 输出约束 - 根因分析使用「规则依据」说明触发逻辑 - 风险信号对照基于行业 + 阶段 + 事件交叉匹配 - 中文输出，结构固定：项目画像 → 根因分析 → 风险信号 → 改进建议 ## 注意事项 - 本技能不访问外部数据源，默认可离线运行 - 规则结论用于复盘和下一步行动设计，不替代真实客户访谈
README.md
# tob-win-loss-review — 丢单复盘助手 > 输入行业/规模/阶段/竞品/关键事件，基于原创 ToB 销售经验规则输出根因分析、风险信号和改进建议。 本技能从 v2.0.0 起改为**纯规则引擎**：不打包任何客户商业资产，默认可离线运行。 ## 快速开始 ```bash # 交互模式 python3 scripts/tob_win_loss_review.py # 快速模式 python3 scripts/tob_win_loss_review.py --industry 零售 --size 大型 \ --duration 4个月 --stage 报价谈判 --competitor 略 \ --event "客户说我们价格比竞品高30%" ``` ## 输出结构 ``` 项目画像 → 根因分析(规则依据) → 风险信号 → 改进建议 ``` 根因分析中的「规则依据」来自行业 + 阶段 + 事件三因素交叉匹配，例如： ``` 规则依据：行业[零售]+阶段[报价谈判]+事件[价格/预算触发] → 价格竞争力风险 ``` ## 技术栈 - Python 3 标准库 - 纯规则引擎：行业 / 阶段 / 事件三因素经验模型 - 概率排序：核心原因 / 辅助原因 / 潜在风险 ## 安装 ```bash clawhub install tob-win-loss-review # 或 openclaw skills install tob-win-loss-review ``` ## 版权 规则经验来自原创 ToB 销售与解决方案实践。 ## 链接 - GitHub: https://github.com/tob-skills/tob-skills - ClawHub: `clawhub search tob-win-loss-review` - SkillHub: `skillhub search tob-win-loss-review` ## License MIT-0 (No Attribution Required)
_meta.json
{
"ownerId": "kn715matapvxk8f52kcatykw1h82b8z3",
"slug": "tob-win-loss-review",
"version": "2.0.2",
"publishedAt": 1783441099828
}skill-card.md
## Description: ToB销售丢单复盘助手。输入行业/规模/阶段/竞品/关键事件，使用原创销售经验规则引擎输出根因分析、风险信号和改进建议。 This skill is ready for commercial/non-commercial use. ## Publisher: [william202404](https://clawhub.ai/user/william202404) ### License/Terms of Use: MIT-0 ## Use Case: External users and sales teams use this skill to review ToB sales losses from deal context such as industry, account size, sales stage, competitor, and key events. It produces Chinese-language root-cause analysis, risk signals, and practical next-step recommendations. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: The generated win/loss analysis may be misleading if treated as a definitive customer truth. Mitigation: Use the output as advisory input and validate conclusions against customer interviews and deal evidence. Risk: User-entered deal notes may include sensitive customer details. Mitigation: Avoid entering sensitive customer details unless local processing is acceptable; redact or generalize customer identifiers before use. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/william202404/skills/tob-win-loss-review) ## Skill Output: **Output Type(s):** [Text, Markdown, JSON, Guidance] **Output Format:** [Chinese Markdown report, with optional JSON debug output] **Output Parameters:** [1D] **Other Properties Related to Output:** [Offline rule-engine output; advisory sales review, not a substitute for customer interviews.] ## Skill Version(s): 2.0.2 (source: server release metadata; artifact frontmatter says 2.0.0) ## 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.
- Card JSON
- Facts JSON
- Snapshot JSON
- Contract JSON
- Trust JSON
- Changes JSON
- Warnings JSON
- Seen by JSON
- Disagreements JSON
{
"facts": [
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/william202404/skills/tob-win-loss-review",
"sourceUrl": "https://clawhub.ai/william202404/skills/tob-win-loss-review",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-12T00:58:26.141Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-william202404-tob-win-loss-review/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-william202404-tob-win-loss-review/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-12T00:58:26.141Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "964 downloads",
"href": "https://clawhub.ai/william202404/tob-win-loss-review",
"sourceUrl": "https://clawhub.ai/william202404/tob-win-loss-review",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-12T00:58:26.141Z",
"isPublic": true
},
{
"factKey": "latest_release",
"category": "release",
"label": "Latest release",
"value": "2.0.2",
"href": "https://clawhub.ai/william202404/tob-win-loss-review",
"sourceUrl": "https://clawhub.ai/william202404/tob-win-loss-review",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-07-07T16:18:19.828Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-william202404-tob-win-loss-review/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-william202404-tob-win-loss-review/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
],
"events": [
{
"eventType": "release",
"title": "Release 2.0.2",
"description": "- Added detailed usage documentation in README.md. - Introduced scripts/tob_win_loss_review.py file, setting up the main script structure. - Minor metadata alignment in SKILL.md (added slug, displayName fields).",
"href": "https://clawhub.ai/william202404/tob-win-loss-review",
"sourceUrl": "https://clawhub.ai/william202404/tob-win-loss-review",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-07-07T16:18:19.828Z",
"isPublic": true
}
]
}Record generated Oct 12, 2026.
For crawlers
This page is free to read. The run-check above is the only paid part, and it answers HTTP 402 until it is paid. Everything else here is public.
- One record, as JSON: card, facts, snapshot, contract, trust, changes, warnings, seen by, disagreements.
- Every agent, one feed: /.well-known/ai-catalog.json
- What this site sells, and the price: /.well-known/x402
- Paid run-check: /api/v1/agents/clawhub-william202404-tob-win-loss-review/run-check