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Sales GTM & Revenue Intelligence

Name: Sales GTM & Revenue Intelligence
Author: ai-gaoqian

作者 ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install sales-gtm-intel

功能描述

AI-powered B2B sales and go-to-market intelligence engine. Builds Ideal Customer Profiles (ICP) across 8 dimensions, generates MEDDICC/SPIN/Challenger battle...

使用说明 (SKILL.md)

Sales GTM & Revenue Intelligence

Capabilities

#	Capability	Input	Output
1	ICP Builder	Industry / company size / geography / pain point	Quantified ICP profile with TAM estimation, account list, fit scoring model
2	Prospect Intelligence	Company name / domain	Tech stack (BuiltWith), funding stage (Crunchbase), growth signals (hiring), pain indicators (Glassdoor), key decision-makers
3	Competitor Battle Card	Competitor name	Product comparison, pricing, positioning, strengths/weaknesses, win/loss plays, objection handling
4	Cold Outreach Generator	ICP + value prop	Email sequences (days 1-18), LinkedIn messages, call scripts, A/B test variants with open-rate benchmarks
5	TAM/SAM/SOM Analysis	Market + product	Bottom-up and top-down market sizing, growth rate, addressable accounts, revenue potential
6	MEDDIC/MEDDPICC Qualification	Deal opportunity	Scorecard (Metrics/Economic Buyer/Decision Criteria/Process/Pain/Champion/Competition), risk flags, next steps
7	GTM Motion Designer	Product type + target market	PLG vs. SLG vs. Channel vs. Marketplace recommendation, sales team sizing, CAC/LTV model
8	Objection Handling Library	Product + common objections	Response frameworks, proof points (case studies, ROI data), narrative arcs, role-play scripts
9	Territory Planning	Region + industry + TAM	Account segmentation (Tier 1/2/3), AE count, quota allocation, travel optimization
10	Deal Review & Forecasting	Opportunity data	Commitment/upside/pipeline scoring, risk factors, competitive position, close-plan recommendations

Workflow

User Query
  │
  ├─ [Step 1] Classify → sales stage (prospecting / qualification / closing) + market + persona
  │
  ├─ [Step 2] Intelligence gathering (parallel):
  │   └─ Company data: Crunchbase, Owler, Glassdoor
  │   └─ Tech stack: BuiltWith
  │   └─ Traffic/engagement: SimilarWeb
  │   └─ Competitive: G2, Capterra
  │   └─ Market sizing: Statista, public filings
  │
  ├─ [Step 3] Apply methodology framework (MEDDIC / SPIN / Challenger as appropriate)
  │
  ├─ [Step 4] Generate output with actionable templates, not just analysis
  │
  └─ [Step 5] Benchmark vs. industry standards (response rates, win rates, deal velocity)

Output Formats

ICP Profile Card

Dimension	Specification
Industry	[NAICS codes, sub-verticals]
Company Size	[employees range, revenue range]
Geography	[HQ + target regions]
Tech Stack	[Must-have tools (e.g., Salesforce, HubSpot)]
Growth Signals	[Hiring for X roles, raised Series B, expanding to Y]
Pain Indicators	[Job postings for Z, bad G2 reviews on W]
Decision Makers	[Titles, LinkedIn profile traits, trigger events]
TAM	[Total companies × avg contract value]

Outreach Sequence

Day	Channel	Template	Purpose
1	Email	[Subject: {{pain_point}} at {{company}}]	Initial touch
3	LinkedIn	[Connection + context]	Social proof
7	Email	[Value-add: industry insight]	Educate
12	Call	[Script: problem → implication → payoff]	Engage
18	Email	[Breakup: "Is now a bad time?"]	Close loop

Competitor Battle Card

Arena	Competitor X	Our Product	Win Strategy
Core feature	[describe + limitation]	[describe + advantage]	[Lead with X, pivot to our Y]
Pricing	[$X/user, hidden fees]	[$Y/user, all-in]	[TCO calculator, 3Y savings]
Integration	[Limited: A, B]	[Extensive: A-Z]	[Demo integration ease]
Customer evidence	[Mixed reviews on G2]	[4.8★, case study wins]	[Relevant customer story]
Objection	["Too expensive"]	N/A	["What's the cost of not solving this?"]

Usage Guidelines

Personalization over automation — templates must be tailored with prospect-specific details, never fully generic
Psychology-driven — every outreach element should answer "why should I care?" in first 10 seconds
Multi-channel orchestration — email + LinkedIn + phone in coordinated sequences, not isolated blasts
Data-driven iteration — benchmark against industry response rates (cold email: 1-5%, LinkedIn: 10-30%, call connect: 5-15%)
Ethical selling — no deceptive tactics, respect opt-out, comply with CAN-SPAM/GDPR
Global GTM — adapt messaging for cultural context (direct vs. indirect communication, hierarchy vs. consensus)

Examples

Example 1: ICP & TAM

User: "Build an ICP for an automated compliance reporting SaaS for fintech in Southeast Asia" Output: ICP profile with TAM calculation (banks + fintech in SG/ID/TH/VN/PH), regulatory triggers, tech stack indicators (legacy GRC tools), targeted account list with scoring.

Example 2: Outreach Sequence

User: "Create a cold email sequence for selling DevOps observability to Series B startups" Output: 5-step sequence (email → LinkedIn → value-add email → call → breakup), each with subject lines, personalization hooks (funding round, tech stack, recent hires), A/B test plan.

Example 3: Competitor Analysis

User: "Build a battle card vs. Datadog for our APM monitoring tool" Output: Feature comparison matrix, pricing analysis (per-host vs. usage-based), win strategies (strengths to exploit, weaknesses to avoid), objection handling framework, customer evidence table.

Data Base: references/sales_sources.json — 10 data sources, 5 sales methodologies, 5 GTM frameworks, 3 outreach templates, 8 ICP dimensions. Last Updated: June 2026 Free Tier: Available. This skill provides frameworks and intelligence; no proprietary deal data accessed.

安全使用建议

Install this if you want sales GTM, prospecting, competitor, and outreach assistance. Review its broad triggers if you only want it to activate for explicit sales tasks, and use generated prospecting or outreach content in compliance with privacy rules, platform terms, opt-outs, CAN-SPAM, and GDPR.

能力标签

crypto

能力评估

✓ Purpose & Capability

The described capabilities, including ICP building, prospect research, competitor battle cards, outreach templates, market sizing, and sales methodology guidance, are coherent with the stated sales GTM purpose.

ℹ Instruction Scope

Some triggers such as "market sizing," "GTM strategy," and "pricing intelligence" are broad and could activate in general business contexts, but the resulting behavior is still sales/market analysis guidance rather than hidden or unsafe action.

✓ Install Mechanism

The package contains only SKILL.md and a JSON reference file; scanners report no executable scripts, dependencies, install hooks, or suspicious static patterns.

ℹ Credentials

The skill points users toward external sales and market intelligence sources, including prospecting and email-discovery services, which is expected for the purpose but should be used with privacy and anti-spam compliance in mind.

✓ Persistence & Privilege

There is no artifact evidence of background workers, persistence, local indexing, privilege escalation, credential/session access, or mutation of user systems or accounts.

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 sales-gtm-intel
安装完成后，直接呼叫该 Skill 的名称或使用 /sales-gtm-intel 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 of Sales GTM & Revenue Intelligence skill: - AI-powered engine for B2B sales and go-to-market intelligence. - Builds multi-dimensional Ideal Customer Profiles (ICP) and analyzes TAM/SAM/SOM for market entry. - Generates battle cards using MEDDICC, SPIN, Challenger, and more sales methodologies. - Creates personalized cold outreach sequences (AIDA, PAS, BAB) and multi-channel sales cadences. - Delivers competitor analysis, prospect research, territory planning, and actionable sales playbooks. - Integrates data from 10 external sources and benchmarks against industry standards.

元数据

Slug sales-gtm-intel

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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