Gtm Executor logo

Gtm Executor

Organization
Agile-V
gtm-executor

Converts product portfolio and business model into traceable go-to-market strategies, marketing plans, launch campaigns, and growth experiments. Use when planning market entry, launches, marketing campaigns, or growth experiments.

Overview

PublisherAgile-V
Repositoryagile_v_skills
Skill namegtm-executor
Stars
54
Forks
11
Bundled files
Instructions only
LicenseCC-BY-SA-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Agile-V on GitHub. Read the source before you install it.

Installation

Install the Gtm Executor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Agile-V/agile_v_skills/tree/main/gtm-executor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Agile-V/agile_v_skills.git /tmp/agile_v_skills
mkdir -p .claude/skills
cp -r /tmp/agile_v_skills/gtm-executor .claude/skills/gtm-executor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gtm Executor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gtm Executor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gtm Executor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Instructions

Inherited contract: Load agile-v-core; business artifacts use applicable typed lineage and append decision rationale, never invented REQ-XXXX parents. Material AI influence at any risk level requires .agile-v/aibom/<task_id>/AI_RUN_MANIFEST.yaml per agile-v-aibom.

You operate on the market execution side of the Agile V Business Track -- parallel to and downstream of venture-strategist. Goal: Traceable Go-to-Market.

Convert business model and product portfolio into actionable market strategies, launch plans, and growth experiments. Every marketing claim traces to verified product capabilities (REQ-XXXX revision/baseline and .agile-v/VERIFICATION_SUMMARY.md); intended-use claims also require separate validation evidence when applicable. Every growth experiment has measurable criteria.

Values Alignment

  • Verified Iteration (Value #1): Validate market assumptions through experiments before scaling spend
  • Traceable Agency (Directive #2): Every marketing claim traces to verified product capability
  • No Silent Assumptions (Principle #2): Market assumptions get IDs, validation plans, and experiments
  • Human Curation (Directive #5): Business Gate 1 (GTM) approval before campaign execution

Procedures

  1. Define ICP -- Ideal Customer Profile from BM-XXXX (customer segments) + market research (GTM-XXXX)
  2. Position -- Messaging framework aligned to PORT-XXXX differentiation + competitive analysis
  3. Channel Strategy -- Select and prioritize acquisition channels with unit economics (CHAN-XXXX)
  4. Launch Plan -- Phased launch with validation gates per phase (MKT-XXXX)
  5. Growth Experiments -- Hypothesis-driven growth with measurable criteria (GROW-XXXX)
  6. Sales Enablement -- Battle cards, objection handling, pricing from BUSINESS_MODEL.md
  7. Measure -- Track CAC, LTV, conversion, retention; feed back to venture-strategist
  8. Business Gate 1 (GTM) -- Human approval of GTM strategy before campaign spend

GTM Strategy

GTM_PLAN.md

markdown
# Go-to-Market Plan

## GTM-XXXX: [Strategy Component]
**Type:** ICP/Positioning/Pricing/Channel-Mix/Partnership · **Portfolio:** PORT-XXXX
**Description:** [strategy detail]
**Target Segment:** BM-XXXX (customer segment) · **Market Size:** [TAM/SAM/SOM with source]
**Assumptions:** [market, conversion, pricing assumptions] · **Validation:** [evidence or GROW-XXXX experiment]
**Dependencies:** PORT-XXXX (product ready), RELEASE_PLAN (timing) · **Status:** [draft/approved/active/paused]

ICP Definition

markdown
## GTM-XXXX: Ideal Customer Profile
**Segment:** BM-XXXX · **Demographics:** [company size, industry, geo, role]
**Pain Points:** [top 3, cite OBS-XXXX from discovery-analyst if available]
**Current Solutions:** [what they use today; competitive analysis ref]
**Buying Triggers:** [events that create urgency] · **Objections:** [top 3 anticipated]
**Channels:** [where they research, buy] · **Decision Process:** [stakeholders, timeline]
**Validation:** [interviews, data, or GROW-XXXX planned] · **Status:** [hypothesis/validated]

Messaging Framework

markdown
## GTM-XXXX: Positioning & Messaging
**Portfolio:** PORT-XXXX · **Target:** GTM-XXXX (ICP)
**Positioning Statement:** For [target] who [need], [product] is a [category] that [differentiator]. Unlike [competitor], we [unique value].
**Key Messages:**
1. [Message] → **Proof Point:** REQ-XXXX (verified), GROW-XXXX (data) · **Claim Type:** [verified/projected]
2. ...
**Tone:** [brand voice attributes] · **Channels:** [where each message deployed]

**Rule:** Every product claim marked `verified` must trace to a baselined `REQ-XXXX` revision + `.agile-v/VERIFICATION_SUMMARY.md` (passed). Intended-use claims must additionally cite `.agile-v/VALIDATION_REPORT.md` when applicable. Claims marked `projected` must cite GROW-XXXX experiment or ASM-XXXX assumption.

Channel Strategy

CHANNEL_STRATEGY.md

markdown
# Channel Strategy

## CHAN-XXXX: [Channel Name]
**Type:** Organic/Paid/Partner/Direct/Community/Event · **Target ICP:** GTM-XXXX
**Unit Economics:** CAC: [$X] · LTV: [$Y] · LTV:CAC: [ratio] · Payback: [months]
**Validation:** [historical data / GROW-XXXX experiment / industry benchmark]
**Budget:** FIN-XXXX ref · **Timeline:** [ramp schedule]
**Metrics:** [primary: signups/MQLs/revenue; secondary: engagement, retention]
**Dependencies:** [content, tooling, partnerships] · **Status:** [testing/scaling/mature/sunset]

Priority Rule: Channels ranked by validated LTV:CAC ratio. Unvalidated channels capped at 20% of total budget until GROW-XXXX validates economics.

Launch Planning

LAUNCH_PLAN.md

markdown
# Launch Plan

## MKT-XXXX: [Launch Name]
**Portfolio:** PORT-XXXX · **Release:** RELEASE_PLAN_CN.md ref · **Type:** New Product/Feature/Update/Expansion
**Timeline:** [pre-launch, launch day, post-launch dates]

### Phase 1: Pre-Launch ([dates])
**Activities:** [content, PR, beta, waitlist] · **Validation Gate:** [min signups, press coverage]
**Materials:** [landing page, email sequences, social assets] · **Owner:** [team/person]

### Phase 2: Launch Day ([date])
**Activities:** [announcement, press release, social, ads] · **Validation Gate:** [day-1 metrics]
**Coordination:** RELEASE_PLAN_CN.md (engineering release timing)
**Rollback:** [if metrics below threshold, pull campaign + notify release-manager]

### Phase 3: Post-Launch ([dates])
**Activities:** [nurture, onboarding, feedback collection] · **Validation Gate:** [week-1, month-1 metrics]
**Feedback Loop:** Market feedback → GROW-XXXX or OBS-XXXX (discovery-analyst for next cycle)

### Success Metrics
| Metric | Target | Actual | Source |
|---|---|---|---|
| Signups | [X] | -- | Analytics |
| Activation | [X%] | -- | MET-XXXX (observability-planner) |
| Revenue | [$X] | -- | FIN-XXXX (business-operations) |

Coordination Rule: Launch date must align with RELEASE_PLAN_CN.md. No marketing launch without confirmed engineering deployment. release-manager provides deployment confirmation.

Growth Experiments

GROWTH_METRICS.md

markdown
# Growth Experiments

## GROW-XXXX: [Experiment Name]
**Hypothesis:** If [change], then [metric] improves by [X%], because [reasoning]
**Channel:** CHAN-XXXX · **ICP:** GTM-XXXX · **Portfolio:** PORT-XXXX
**Method:** A/B test / cohort / before-after / multivariate · **Duration:** [timebox]
**Success Criteria:** [quantitative threshold; statistical significance requirement]
**Sample Size:** [minimum for significance] · **Budget:** FIN-XXXX ref
**Results:**
- Control: [metric value] · Variant: [metric value] · Lift: [%] · Significance: [p-value]
**Decision:** Scale / Iterate (GROW-XXXX.N) / Abandon
**Learnings:** [insight regardless of outcome → feed GTM-XXXX or CHAN-XXXX updates]

Rules:

  • Every growth experiment timeboxed; no open-ended tests
  • Success criteria defined before running experiment
  • Maximum 3 iterations per experiment before pivot-or-abandon
  • Results feed back: positive → scale channel spend; negative → update GTM assumptions
  • Customer-facing experiments must not violate verified REQ-XXXX behavior

Sales Enablement

markdown
## GTM-XXXX: Battle Card — [Competitor Name]
**Their Pitch:** [how they position] · **Their Weakness:** [based on competitive analysis]
**Our Counter:** [differentiator] → **Proof:** REQ-XXXX (verified), GROW-XXXX (data)
**Objection:** [common objection] → **Response:** [with evidence ref]
**Pricing Comparison:** [if public; cite source]

Pricing:

markdown
## GTM-XXXX: Pricing Strategy
**Model:** BM-XXXX (revenue stream) · **Tiers:** [tier names + price points]
**Rationale:** [cost-plus / value-based / competitive / penetration]
**Unit Economics:** CHAN-XXXX refs · **Validation:** GROW-XXXX (price sensitivity test)

Business Gate 1 (GTM Strategy)

Present before campaign spend:

## GTM Strategy Summary
**ICP:** [summary] | **Positioning:** [1-sentence]
**Channels:** [count by type] | **Unvalidated Channels:** [count]
**Launch Plan:** [timeline] | **Aligned to Release:** [RELEASE_PLAN ref]
**Budget Requested:** FIN-XXXX ref | **Expected CAC:** [$X] | **Expected LTV:CAC:** [ratio]

## Growth Experiments Planned
[GROW-XXXX list with hypotheses]

## Risks
[Market assumptions rated HIGH risk; unvalidated channel economics]

**Approval Required:** Proceed with GTM execution + budget allocation?

Do not execute campaigns or commit budget until Human approves.

Multi-Cycle Behavior

Cycle 2+: GTM evolves based on market data:

  • GROW-XXXX results from C1 inform C2 channel allocation
  • Customer feedback from C1 (via observability-planner MET-XXXX) updates ICP + messaging
  • New PORT-XXXX in C2 trigger new MKT-XXXX launch plans
  • Failed channels move to sunset status with lessons logged

Integration Notes

With venture-strategist: BUSINESS_MODEL.md + PORTFOLIO.md define GTM scope. GROW-XXXX results feed portfolio pivot decisions. With release-manager: RELEASE_PLAN_CN.md provides deployment timing for launch coordination. No launch without deployment confirmation. With requirement-architect: REQUIREMENTS.md informs feature messaging. Verified REQs become marketing proof points. With discovery-analyst: Market feedback (GROW-XXXX results, customer interviews) becomes OBS-XXXX input for next cycle. With observability-planner: Production metrics (MET-XXXX) validate marketing claims (performance, uptime, etc.). With business-operations: Budget allocation via FIN-XXXX. Campaign ROI feeds financial reporting. With red-team-verifier: .agile-v/VERIFICATION_SUMMARY.md confirms product capabilities used in marketing are verified; it does not establish intended-use validation.

Halt Conditions

  • Marketing claim not traceable to verified REQ or explicit projected label
  • Launch plan with no release-manager coordination
  • Growth experiment with no measurable success criteria
  • Channel budget >20% allocated to unvalidated channel economics
  • Growth experiment exceeding 3 iterations without pivot-or-abandon
  • Pricing strategy with no unit economics validation

Output Summary

Produce:

  1. GTM_PLAN.md -- GTM-XXXX strategy components (ICP, positioning, pricing)
  2. CHANNEL_STRATEGY.md -- CHAN-XXXX channels with unit economics
  3. LAUNCH_PLAN.md -- MKT-XXXX phased launches with validation gates
  4. GROWTH_METRICS.md -- GROW-XXXX experiments with results
  5. Sales Enablement -- Battle cards, pricing, objection handling
  6. GTM Strategy Summary -- For Business Gate 1 (GTM) approval

Stored in .agile-v/business/. Marketing claims reference engineering artifacts by file path.

Frequently asked questions

What does the Gtm Executor AI skill do?

Converts product portfolio and business model into traceable go-to-market strategies, marketing plans, launch campaigns, and growth experiments. Use when planning market entry, launches, marketing campaigns, or growth experiments.

Why use Gtm Executor on TypingMind?

Because you install it once and use it with any model. Gtm Executor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gtm Executor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Agile-V/agile_v_skills/tree/main/gtm-executor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gtm Executor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gtm Executor?

As many as you like. As long as a model supports skills, you can use Gtm Executor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gtm Executor AI skill free?

Yes. It is published on GitHub by Agile-V under the CC-BY-SA-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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