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Sales GTM & Revenue Intelligence
by
ai-gaoqian
· GitHub ↗
· v1.0.0
· MIT-0
45
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Install in OpenClaw
/install sales-gtm-intel
Description
AI-powered B2B sales and go-to-market intelligence engine. Builds Ideal Customer Profiles (ICP) across 8 dimensions, generates MEDDICC/SPIN/Challenger battle...
README (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 | [Subject: {{pain_point}} at {{company}}] | Initial touch | |
| 3 | [Connection + context] | Social proof | |
| 7 | [Value-add: industry insight] | Educate | |
| 12 | Call | [Script: problem → implication → payoff] | Engage |
| 18 | [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.
Usage Guidance
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.
Capability Tags
Capability Assessment
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.
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.
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sales-gtm-intel - After installation, invoke the skill by name or use
/sales-gtm-intel - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Sales GTM & Revenue Intelligence?
AI-powered B2B sales and go-to-market intelligence engine. Builds Ideal Customer Profiles (ICP) across 8 dimensions, generates MEDDICC/SPIN/Challenger battle... It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.
How do I install Sales GTM & Revenue Intelligence?
Run "/install sales-gtm-intel" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sales GTM & Revenue Intelligence free?
Yes, Sales GTM & Revenue Intelligence is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Sales GTM & Revenue Intelligence support?
Sales GTM & Revenue Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sales GTM & Revenue Intelligence?
It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.
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