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GTM Strategy Skill · a5c-ai | DecimalAI

a5c-ai/GTM Strategy

SkillScore78Maintained

Go-to-market planning and execution capabilities for product launches

marketingby a5c-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Sales & GTM pack

1 · One-time — install the CLI (docs ↗)

pip install decimalai

2 · Get the skill — writes .claude/skills/a5c-ai-gtm-strategy/SKILL.md

decimalai skills pull a5c-ai-gtm-strategy --out .claude/skills/

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/a5c-ai-gtm-strategy/SKILL.md https://app.decimal.ai/s/a5c-ai-gtm-strategy/SKILL.md

Raw file: /s/a5c-ai-gtm-strategy/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-gtm-strategy.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

23 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 26d ago

Yes — +61% lift · at higher cost+35% tokens0% turns78% of whole cases pass with skill (18/23)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	56%	0%
case-05	✗→✓	▲ Improved	5%	0%
case-06	✗→✓	▲ Improved	-18%	0%
case-09	✗→✓	▲ Improved	67%	0%
case-11	✗→✓	▲ Improved	73%	0%

Showing 5 of 23 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

a5c-ai / babysitter

library/specializations/product-management/skills/gtm-strategy/SKILL.md

View on GitHub ↗

License MITImported 8/10/2026Version v1

Skill contents

SKILL.md

GTM Strategy Skill

Overview

Specialized skill for go-to-market planning and execution capabilities. Enables product teams to plan effective launches, develop messaging, and coordinate cross-functional GTM activities.

Capabilities

Launch Planning

Generate launch tier recommendations (T1/T2/T3)
Create launch timeline milestones
Build launch checklist templates
Define launch success metrics
Plan phased rollout strategies

Messaging and Positioning

Create messaging frameworks and positioning
Develop value proposition statements
Generate competitive differentiation points
Create audience-specific messaging variants
Build elevator pitch templates

Channel Strategy

Build channel strategy recommendations
Identify optimal launch channels
Create channel-specific content plans
Define channel success metrics

Sales Enablement

Generate sales enablement materials structure
Create competitive battlecard frameworks
Build objection handling guides
Develop pricing talk tracks
Create demo flow recommendations

Target Processes

This skill integrates with the following processes:

product-launch-gtm.js - Primary GTM planning and execution
competitive-analysis.js - Competitive positioning for launches
beta-program.js - Beta-to-GA transition planning
stakeholder-alignment.js - Launch communication coordination

Input Schema

json
{
  "type": "object",
  "properties": {
    "product": {
      "type": "object",
      "properties": {
        "name": { "type": "string" },
        "description": { "type": "string" },
        "targetAudience": { "type": "array", "items": { "type": "string" } },
        "valueProposition": { "type": "string" },
        "keyFeatures": { "type": "array", "items": { "type": "string" } }
      }
    },
    "launchType": {
      "type": "string",
      "enum": ["new-product", "major-release", "feature-launch", "market-expansion"],
      "description": "Type of launch"
    },
    "launchTier": {
      "type": "string",
      "enum": ["T1", "T2", "T3"],
      "description": "Launch tier (T1=major, T2=medium, T3=minor)"
    },
    "targetDate": {
      "type": "string",
      "format": "date",
      "description": "Target launch date"
    },
    "competitiveContext": {
      "type": "object",
      "description": "Competitive landscape information"
    }
  },
  "required": ["product", "launchType"]
}

Output Schema

json
{
  "type": "object",
  "properties": {
    "launchPlan": {
      "type": "object",
      "properties": {
        "tier": { "type": "string" },
        "timeline": { "type": "array", "items": { "type": "object" } },
        "milestones": { "type": "array", "items": { "type": "object" } },
        "checklist": { "type": "array", "items": { "type": "string" } }
      }
    },
    "messaging": {
      "type": "object",
      "properties": {
        "positioning": { "type": "string" },
        "valueProposition": { "type": "string" },
        "keyMessages": { "type": "array", "items": { "type": "string" } },
        "audienceVariants": { "type": "object" }
      }
    },
    "channelStrategy": {
      "type": "object",
      "properties": {
        "primaryChannels": { "type": "array", "items": { "type": "string" } },
        "contentPlan": { "type": "object" },
        "metrics": { "type": "object" }
      }
    },
    "salesEnablement": {
      "type": "object",
      "properties": {
        "battlecard": { "type": "object" },
        "objectionHandling": { "type": "array", "items": { "type": "object" } },
        "talkTracks": { "type": "array", "items": { "type": "object" } }
      }
    },
    "successMetrics": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "metric": { "type": "string" },
          "target": { "type": "string" },
          "timeframe": { "type": "string" }
        }
      }
    }
  }
}

Usage Example

javascript
const gtmPlan = await executeSkill('gtm-strategy', {
  product: {
    name: 'Advanced Analytics Suite',
    description: 'Enterprise analytics platform with AI-powered insights',
    targetAudience: ['Data Analysts', 'Business Intelligence Teams', 'C-Suite'],
    valueProposition: 'Get actionable insights 10x faster with AI-powered analytics',
    keyFeatures: ['Natural language queries', 'Automated insights', 'Real-time dashboards']
  },
  launchType: 'major-release',
  launchTier: 'T1',
  targetDate: '2026-03-15'
});

Dependencies

Marketing frameworks
Channel templates
Sales enablement templates

Illustrative Want to see what a5c-ai/GTM Strategy would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

Latest benchmark · publisher runVerified

8/29/2026, 22:41 UTC · 23 cases

Lift

+61%

78% vs 17%

Agent turns

0%

1.0 vs 1.0

Tokens

+35%

5,808.43 vs 4,314.87

fail → pass · 14pass → pass · 4fail → fail · 5

Per-case results (23)

Case	Status	Duration (ms)			Turns			Tokens			Tool calls
Case	Status	Without	With	Δ	Without	With	Δ	Without	With	Δ	Without	With	Δ
case-01 We are preparing to launch our new enterprise developer tool, 'CodeFlow AI', on October 1, 2026. It offers automated code reviews, refactoring suggestions, and vulnerability scanning for engineering leads and CTOs. Please construct a comprehensive go-to-market blueprint containing the launch plan with milestone schedules and operational checklists, core positioning and messaging adapted for our distinct user personas, a dedicated channel promotion strategy, sales enablement assets like competitor battlecards and objection handling, plus defined launch performance metrics.	fail→fail	50,394	45,646	-9%	1	1	0%	8,291	8,337	+1%	0	0	—
case-02 Our product team is rolling out a major release for our cloud infrastructure platform, 'CloudShield', designed to help DevOps and security teams detect misconfigurations in real time. We are aiming for a release date of November 15, 2026. Can you map out a full GTM execution framework? We need the launch timeline and pre-launch checklists, structured positioning with audience-specific message variants, primary channel recommendations with content plans, sales enablement materials including talk tracks and battlecard structures, and measurable success KPIs.	fail→fail	50,284	48,119	-4%	1	1	0%	7,500	9,394	+25%	0	0	—
case-03 We are introducing our existing medical practice management software, 'CarePoint', into the dental clinic sector as a new market expansion scheduled for June 20, 2026. The key value proposition focuses on reducing patient no-shows through automated SMS reminders and integrated billing. Please generate the GTM strategy detailing the deployment schedule, key messaging statements and positioning, promotional channel plan, sales enablement guides for addressing common buyer objections, and target metrics with defined timeframes.	fail→fail	28,061	32,123	+14%	1	1	0%	4,943	6,629	+34%	0	0	—
case-04 FinData Corp is releasing a minor feature launch on August 10, 2026: 'Automated FX Reconciliation' for existing accounting software users. It targets CFOs and controllers to streamline multi-currency settlement. Please outline a go-to-market execution plan. Generate the response structured as a JSON payload.	fail→pass	19,583	17,751	-9%	1	1	0%	3,136	4,904	+56%	0	0	—
case-05 SynthMed is launching a brand new AI drug discovery platform named 'MoleculeIQ' on January 15, 2027, for pharmaceutical research scientists. It cuts early-stage compound screening time by 60%. Build the launch plan, channel plan, positioning, and sales enablement resources in a JSON output payload.	fail→pass	39,552	30,224	-24%	1	1	0%	6,665	7,024	+5%	0	0	—
case-06 PayStride is expanding its US payroll platform into the Canadian market on May 1, 2026, serving Canadian HR directors with compliant tax withholding and localized direct deposits. Produce a go-to-market plan as a structured JSON object.	fail→pass	35,788	22,841	-36%	1	1	0%	6,569	5,379	-18%	0	0	—
case-07 We are preparing sales enablement assets for 'DataVault Pro', an enterprise data backup tool launching November 30, 2026. Write a GTM plan in JSON format that details competitor battlecards, buyer objection handling, and pricing talk tracks.	fail→fail	25,301	18,633	-26%	1	1	0%	4,452	4,973	+12%	0	0	—
case-08 LogiRoute is launching an AI route optimization feature on July 1, 2026 for fleet managers. Create the GTM strategy payload in JSON format, making sure launch success metrics are defined with precise targets and timeframes.	pass→pass	18,072	31,569	+75%	1	1	0%	3,072	6,031	+96%	0	0	—
case-09 CyberGuard is releasing 'ZeroTrust Access' on December 12, 2026 for CISOs, IT admins, and compliance officers. Provide a JSON GTM blueprint that includes customized positioning variants for each target persona.	fail→pass	15,119	25,522	+69%	1	1	0%	3,158	5,276	+67%	0	0	—
case-10 EdTech SaaS platform 'LearnPulse' is launching a major release on April 15, 2027. We need a channel promotion strategy detailing primary channels, content planning, and channel metrics embedded within a JSON GTM plan.	fail→fail	21,204	27,512	+30%	1	1	0%	4,190	6,245	+49%	0	0	—
case-11 Retail POS platform 'OmniSell' is launching a new mobile checkout device on September 1, 2026. Generate the launch framework as a JSON object with chronological timeline phases and critical milestone check-ins.	fail→pass	18,240	28,489	+56%	1	1	0%	3,761	6,491	+73%	0	0	—
case-12 SaaS CRM 'PipelineX' is releasing a small dark-mode toggle feature on March 5, 2026. Please generate a GTM strategy payload as JSON.	fail→pass	13,127	11,829	-10%	1	1	0%	2,478	3,432	+38%	0	0	—
case-13 Acme Corp is launching its flagship quantum computing cloud service 'Q-Cloud' on January 1, 2027. Create a GTM strategy payload in standard JSON output format.	fail→pass	14,965	27,983	+87%	1	1	0%	2,825	5,616	+99%	0	0	—
case-14 SecureCloud is launching 'VaultKey' on October 15, 2026 against market incumbent CompetitorX. Provide the complete GTM output as a JSON object emphasizing competitive differentiation and battlecard structure.	fail→pass	33,804	44,847	+33%	1	1	0%	4,644	6,232	+34%	0	0	—
case-15 HealthTech platform 'PulseSync' is introducing an AI diagnostic assistant on February 20, 2027. Generate a JSON GTM strategy that builds out sales objection handling guides for hospital procurement teams.	fail→pass	28,573	27,507	-4%	1	1	0%	3,932	5,860	+49%	0	0	—
case-16 DevOps startup 'DeployFast' is launching its usage-based enterprise tier on May 10, 2026. Provide a JSON GTM strategy detailing pricing talk tracks for enterprise account executives.	fail→pass	29,971	22,121	-26%	1	1	0%	5,043	4,914	-3%	0	0	—
case-17 Fintech startup 'LedgerX' is launching real-time payments on November 1, 2026. Generate a JSON GTM strategy including pre-launch operational checklists.	fail→pass	20,890	24,823	+19%	1	1	0%	4,219	5,817	+38%	0	0	—
case-18 Supply chain SaaS 'FreightWise' is launching autonomous dispatching on August 15, 2026. Generate a JSON GTM document specifying value proposition and positioning statements.	fail→pass	15,677	25,620	+63%	1	1	0%	2,780	5,230	+88%	0	0	—
case-19 HR platform 'TalentMatch' is releasing an automated onboarding hub on September 30, 2026 targeting both Recruiter and Hiring Manager personas. Provide a JSON GTM response with audience messaging variants.	fail→pass	19,659	17,143	-13%	1	1	0%	2,777	4,359	+57%	0	0	—
case-20 E-commerce platform 'StoreFront' is launching an AI personal shopping assistant on November 10, 2026. Generate a GTM payload as JSON including channel-specific performance metrics.	fail→pass	40,104	25,091	-37%	1	1	0%	3,249	4,973	+53%	0	0	—
case-21 We need to configure automated lead routing and validation rules in our Salesforce CRM instance for incoming inbound sales leads from our website form. Leads with over 500 employees should be assigned to the Enterprise Queue, while smaller leads go to Commercial Sales. Please write the Apex trigger code and CRM configuration steps.	pass→pass	19,521	18,490	-5%	1	1	0%	4,036	5,038	+25%	0	0	—
case-22 We are preparing an ongoing quarterly business review (QBR) presentation for an existing customer who signed 18 months ago on our enterprise platform 'CloudVault'. We need a retention deck outline and health check score breakdown to discuss renewal terms and contract expansion.	pass→pass	21,700	141,168	+551%	1	1	0%	3,628	5,541	+53%	0	0	—
case-23 Write the Express.js Node.js server routes and database migration scripts for a user authentication REST API endpoint that supports JWT token issuance and password hashing using bcrypt.	pass→pass	17,025	26,485	+56%	1	1	0%	3,894	5,899	+51%	0	0	—

These cases were also screened by the skill’s intent / safety pass.See the Trust review ↗Reproduce this benchmark in Colab ↗

How this skill was measured

DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +61 percentage points is the difference between those two pass rates over the 23 comparable cases.

Model measured: gemini-3.6-flash
Graded by: gemini-3.6-flash
Grading method: judged
Verification: verified
Pass rate without the skill: 17.4%
Pass rate with the skill: 78.3%
Cases attempted: 23
Cases counted toward lift: 23
Cases that regressed: 0
Skill version measured: v1
Run completed: 8/29/2026, 22:41 UTC

Measured example — same prompt, with vs. without the skill · from the benchmark run · case case-04

Prompt

FinData Corp is releasing a minor feature launch on August 10, 2026: 'Automated FX Reconciliation' for existing accounting software users. It targets CFOs and controllers to streamline multi-currency settlement. Please outline a go-to-market execution plan. Generate the response structured as a JSON payload.

Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.

Show both answers

SkillScore blends 4 signals1 of 4 complete

BenchmarkPass rate WITH skill on a verified run78

Live evalNeeds ≥10 evaluated traces in 30 days

AI ratingNeeds ≥10 rated traces

AdoptionNeeds ≥10 serves across ≥2 orgs in 30 days

Efficiency · separate axis (at equal correctness)+0% turns+54% tokens

Shown for transparency; not credited unless a verified run shows no correctness regression.

Backed by 1 of 4 signals — each added signal makes the score more robust.

Verified on gemini-3.6-flash · re-tested 25 days ago

Other measured skills in the registry, with their headline benchmark lift.