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GTM Account Research
作者
davidslavich
· GitHub ↗
· v1.0.0
· MIT-0
175
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当前安装
1
版本数
在 OpenClaw 中安装
/install gtm-account-research
功能描述
Deep-dive a target company and produce a structured account intelligence brief covering tech stack, buying signals, key personas, and a recommended engagemen...
使用说明 (SKILL.md)
GTM Account Research
Produce an Account Intelligence Brief for a named company. Ground every signal in a specific, traceable source.
Steps
- Snapshot — company name, HQ, size, business model, recent news (last 90 days)
- Tech stack — identify tools in the categories most relevant to your product (e.g. data warehouse, CRM, marketing automation, paid channels). Use BuiltWith, job postings, and engineering blogs as sources.
- Buying signals — job postings, conference attendance, funding events, published strategy content. Date every signal.
- Displacement triggers — are they actively migrating off a competitor? Hiring for a role that signals a gap you fill? Flag ⚡ if a strong trigger is present.
- Personas — identify Economic Buyer (budget authority), Technical Champion (evaluates), and End User (daily use). Name + LinkedIn URL when findable.
- Engagement angle — one specific recommendation: what pain, which product, what channel, who reaches out first, and the opening hook.
Output
# Account Brief: [Company] | [Date]
Snapshot: [3 sentences — what they do, size, recent context]
ICP Segment: [your segment label]
Stack: [Category: tool — or "Unknown" for each category]
Signals: [Bulleted — signal + source + date]
Displacement: [⚡ Yes — detail / None detected]
Personas: [Name · Title · LinkedIn · Pain point — one row per person]
Gaps: [What's missing that would sharpen the approach]
Engagement Angle:
[Specific: pain → product → channel → who reaches out → opening hook]
Keep the brief scannable. Flag any detail as [Unverified] if not directly observed.
安全使用建议
This skill is coherent and instruction-only: it will perform live web research and produce briefs citing sources. Before installing, confirm the agent platform grants safe, rate-limited web search access and that you accept the agent collecting public personal data (names + LinkedIn URLs). Be aware of site terms-of-service (LinkedIn, job boards) and privacy/regulatory requirements (GDPR, CCPA) when storing or using identified personas. If you want to limit risk, keep autonomous invocation off or require human review, and add guardrails to avoid scraping behind logins or bulk-harvesting personal data. If you expect proprietary signals that require authenticated APIs, provide credentials explicitly and only if you trust the skill — currently it requests none.
功能分析
Type: OpenClaw Skill
Name: gtm-account-research
Version: 1.0.0
The skill bundle consists of metadata and markdown instructions (SKILL.md) for an AI agent to perform standard Go-To-Market (GTM) account research. It contains no executable code, suspicious dependencies, or instructions to exfiltrate sensitive local data; it simply directs the agent to use web search to gather publicly available business information and format it into a report.
能力评估
Purpose & Capability
Name and description match the SKILL.md steps: live web research (BuiltWith, job postings, blogs), identifying personas and signals, and producing a structured brief. The skill does not request unrelated binaries, credentials, or config paths — there is no disproportionate access requested for the stated task.
Instruction Scope
Instructions are scoped to public web research and grounding every signal in a traceable source. They instruct the agent to find people and LinkedIn URLs, date signals, and flag unverified items. This is in-scope but raises operational/privacy considerations: scraping or bulk collection of LinkedIn or other sites may run into terms-of-service, rate-limiting, or require authentication; outputs will include personal data (names + LinkedIn) which may have compliance implications.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install mechanism and matches the skill's purpose.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate: public web signals typically do not require secrets. Note: some desired signals (e.g., private job posting details or LinkedIn 'view' content) might be inaccessible without authenticated access, but the skill does not request those credentials.
Persistence & Privilege
always:false and default autonomous invocation are set. The skill does not request permanent presence or change other skills' configs. Autonomous invocation is normal; consider governance if you do not want the agent to autonomously perform live web lookups that may collect PII.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install gtm-account-research - 安装完成后,直接呼叫该 Skill 的名称或使用
/gtm-account-research触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
GTM Account Research 是什么?
Deep-dive a target company and produce a structured account intelligence brief covering tech stack, buying signals, key personas, and a recommended engagemen... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 175 次。
如何安装 GTM Account Research?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install gtm-account-research」即可一键安装,无需额外配置。
GTM Account Research 是免费的吗?
是的,GTM Account Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
GTM Account Research 支持哪些平台?
GTM Account Research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 GTM Account Research?
由 davidslavich(@davidslavich)开发并维护,当前版本 v1.0.0。
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