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Official agent skill

Gtm Developer Ecosystem

by github in github/awesome-copilot

Build and scale developer-led adoption through ecosystem programs.

OfficialMITAuto-check passedMarketing & SEO

Install Gtm Developer Ecosystem

skills CLI
$ npx skills add github/awesome-copilot --skill gtm-developer-ecosystem -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot gtm-developer-ecosystem --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gtm-developer-ecosystem .claude/skills/gtm-developer-ecosystem && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
gtm-developer-ecosystem
GitHub stars
40k
Used in
1 other repo
Token cost
~2.3k tokens
SKILL.md length
1,018 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Build and scale developer-led adoption through ecosystem programs.

  • Works in 6 steps: Open vs Curated Ecosystem (The… → The Three-Year Student Program Arc → Developer Journey (Awareness →… → …
  • Deciding open vs curated ecosystems
  • SKILL.md covers When to Use, Core Frameworks, Decision Trees and Common Mistakes, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Gtm Developer Ecosystem is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Go-to-market strategy. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Deciding open vs curated ecosystems
  • Building developer programs
  • Scaling platform adoption
  • Designing student program pipelines

Example prompts

  • “/gtm-developer-ecosystem”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Open vs Curated Ecosystem (The Marketplace Decision)
  2. The Three-Year Student Program Arc
  3. Developer Journey (Awareness → Integration → Advocacy)
  4. Documentation Hierarchy
  5. Community vs Support (When to Use Which)
  6. Partner Tiering for Developer Ecosystems

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Gtm Developer Ecosystem loads about 2.3k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 1,018 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 1,018 words, ~2,310 tokens.

Download SKILL.mdSave it as .claude/skills/gtm-developer-ecosystem/SKILL.md (or your agent's skills folder).
name
gtm-developer-ecosystem
description
Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines.
license
MIT
metadata.author
Smit Patel (https://linkedin.com/in/smitkpatel)
metadata.source
https://github.com/beingsmit/technical-product-gtm

Developer Ecosystem

Build and scale developer-led adoption through ecosystem programs, community, and partnerships. Focus on what actually drives adoption, not vanity metrics.

When to Use

Triggers:

  • "How do we build a developer ecosystem?"
  • "Should we curate quality or go open?"
  • "Developer community isn't growing"
  • "Nobody's building on our API"
  • "How do we compete with larger platforms?"

Context:

  • API platforms and developer tools
  • Products with extensibility (plugins, integrations)
  • Developer-first GTM motion
  • Platform business models

Core Frameworks

1. Open vs Curated Ecosystem (The Marketplace Decision)

The Pattern:

Running ecosystem at a developer platform. Leadership debate: Open the marketplace to anyone, or curate for quality?

Quality control camp: "We need gatekeeping. Otherwise we'll get SEO spam, low-quality integrations, brand damage."

Open camp: "Developers route around gatekeepers. Network effects matter more than quality control."

The decision: Went open. Quality concerns were real, but we made a bet: control comes from discovery and trust layers, not submission gatekeeping.

What We Built Instead of Gatekeeping:

  1. Search and discovery — Surface high-quality integrations through algorithms, not human curation
  2. Trust signals — Verified badges, usage stats, health scores
  3. Community curation — User ratings, collections, recommendations
  4. Moderation — Remove spam after publication, not block before

Result: Network effects won. Thousands of integrations published. Quality surfaced through usage, not through us deciding upfront.

Decision Framework:

  • Curated works when: Brand risk high, dozens of partners, can scale human review
  • Open works when: Hundreds/thousands of potential partners, network effects matter more than quality control

Common Mistake:

Defaulting to curated because "we need quality control." This works when you have 10 partners. At 100+, you become the bottleneck. Build discovery and trust systems instead.

2. The Three-Year Student Program Arc

The Pattern:

Most developer programs optimize for quick wins. Better approach: Build long-term talent pipeline.

Year 1: University Partnerships

  • Partner with CS departments
  • Curriculum integration (hackathons, coursework)
  • Student licenses (free or heavily discounted)
  • Metrics: # universities, # students activated

Year 2: Student Community & Certification

  • Student expert certification program
  • Student-led workshops and events
  • Campus ambassadors
  • Metrics: # certified, # student-led events

Year 3: Career Bridge

  • Job board connecting students → companies
  • Enterprise partnerships (hire certified students)
  • Alumni network
  • Metrics: # hired, company partnerships

Why This Works:

Students become enterprise buyers 5-10 years later. You're building brand loyalty before they have purchasing power.

Common Mistake:

Treating students as immediate revenue. They're not. They're future enterprise decision-makers.

3. Developer Journey (Awareness → Integration → Advocacy)

Stage 1: Awareness

  • How do they discover you?
  • Content, search, word-of-mouth, events

Stage 2: Onboarding

  • First API call in <10 minutes
  • Quick-start guides
  • Sample code in popular languages

Stage 3: Integration

  • Building real use cases
  • Integration guides
  • Support when stuck

Stage 4: Production

  • Deployed and generating value
  • Monitoring usage
  • Enterprise upgrade path

Stage 5: Advocacy

  • Sharing publicly
  • Recommending to others
  • Contributing back (docs, code, community)

Metrics That Matter:

  • Time to first API call (onboarding)
  • % reaching production (integration success)
  • Monthly active developers (engagement)
  • Developer NPS (advocacy)

Common Mistake:

Measuring vanity metrics (sign-ups, downloads) instead of real engagement (API calls, production deployments).

4. Documentation Hierarchy

Tier 1: Quick Starts (Get to Value Fast)

  • "Hello World" in 5 minutes
  • Common use case examples
  • Copy-paste code that works

Tier 2: Guides (Solve Real Problems)

  • Use case-specific tutorials
  • Integration patterns
  • Best practices

Tier 3: Reference (Complete API Docs)

  • Every endpoint documented
  • Request/response examples
  • Error codes and handling

Tier 4: Conceptual (Understand the System)

  • Architecture overviews
  • Design philosophy
  • Advanced patterns

Most developers need: Tier 1 first, then Tier 2. Very few read Tier 4.

Common Mistake:

Starting with Tier 3 (comprehensive API reference). Developers want quick wins first.

Show full SKILL.md (435 more words)Show less
5. Community vs Support (When to Use Which)

Community (Async, Scalable):

  • Slack/Discord for real-time help
  • Forum for searchable Q&A
  • GitHub discussions for feature requests
  • Best for: Common questions, peer-to-peer help

Support (Sync, Expensive):

  • Email support for enterprise
  • Dedicated Slack channels for partners
  • Video calls for complex integrations
  • Best for: Paying customers, strategic partners

How to Route:

Community first:

  • Developer asks question
  • Community member answers
  • You validate and upvote
  • Searchable for future developers

Escalate to support when:

  • No community answer in 24 hours
  • Enterprise/paying customer
  • Security or compliance issue
  • Complex integration requiring custom work

Common Mistake:

Providing white-glove support to everyone. Doesn't scale. Build community that helps itself.

6. Partner Tiering for Developer Ecosystems

Tier 1: Integration Partners (Self-Serve)

  • Build with public API
  • You provide: docs, Slack channel, office hours
  • They drive their own marketing
  • Best for: Ambitious partners with resources

Tier 2: Strategic Partners (Co-Development)

  • Co-developed integration
  • You provide: dedicated channel, co-marketing
  • Joint case studies
  • Best for: High-impact integrations

Don't over-tier. 2 tiers is enough. More creates confusion.

Decision Trees

Open or Curated Ecosystem?
Is brand damage risk high if low-quality partners join?
├─ Yes (regulated, security) → Curated
└─ No → Continue...
    │
    Can you scale human review?
    ├─ No (hundreds/thousands) → Open + discovery systems
    └─ Yes (dozens) → Curated
Community or Support?
Is this a common question?
├─ Yes → Community (forum, Slack, docs)
└─ No → Continue...
    │
    Is requester paying customer?
    ├─ Yes → Support (email, dedicated)
    └─ No → Community (with escalation path)

Common Mistakes

1. Building ecosystem before product-market fit

  • Fix core product first, then build ecosystem

2. No developer success team

  • Developers need help to succeed beyond docs

3. Poor documentation

  • Foundation of ecosystem, non-negotiable

4. Treating all developers equally

  • Tier support by strategic value (paying > free, partners > hobbyists)

5. No integration quality standards

  • Low-quality integrations hurt your brand

6. Measuring only vanity metrics

  • Track activation and production usage, not just sign-ups

7. Developer advocates with no technical depth

  • Hire developers who can code and teach

Quick Reference

Open ecosystem checklist:

  • Search and discovery (surface quality algorithmically)
  • Trust signals (verified badges, usage stats, ratings)
  • Community curation (user recommendations, collections)
  • Moderation (remove spam after publication)

Developer journey metrics:

  • Awareness: Traffic, sign-ups
  • Onboarding: Time to first API call (<10 min target)
  • Integration: % reaching production deployment
  • Advocacy: Developer NPS, public sharing

Documentation hierarchy:

  1. Quick starts (5-min "Hello World")
  2. Use case guides (solve real problems)
  3. API reference (complete documentation)
  4. Conceptual (architecture, philosophy)

Partner tiers:

  • Tier 1: Self-serve (public API, docs, community)
  • Tier 2: Strategic (co-development, co-marketing)

Student program timeline:

  • Year 1: University partnerships, activation
  • Year 2: Certification, student community
  • Year 3: Job board, enterprise hiring bridge
  • partnership-architecture: Partner deal structures and co-marketing
  • product-led-growth: Self-serve activation funnels for developer products
  • 0-to-1-launch: Launching developer products

Based on building developer ecosystems at multiple platform companies, including the open vs curated marketplace decision, student program development (3-year arc building talent pipeline), and partner ecosystem growth. Not theory — patterns from building developer ecosystems that actually drove platform adoption and multi-year brand loyalty.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/gtm-developer-ecosystem of github/awesome-copilot.

Open the folder on GitHubat commit 727ff2e

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

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Categories

Questions about Gtm Developer Ecosystem

What does Gtm Developer Ecosystem do?

Build and scale developer-led adoption through ecosystem programs. Gtm Developer Ecosystem is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Build and scale developer-led adoption through ecosystem programs.

When should I use Gtm Developer Ecosystem?

Gtm Developer Ecosystem fits situations like: deciding open vs curated ecosystems; building developer programs; scaling platform adoption; designing student program pipelines.

How do I install Gtm Developer Ecosystem in Claude Code?

Run `npx skills add github/awesome-copilot --skill gtm-developer-ecosystem -a claude-code`. Or copy the skill folder (skills/gtm-developer-ecosystem in github/awesome-copilot) into .claude/skills/gtm-developer-ecosystem in your project. Claude Code loads it when a task matches its description.

How do I install Gtm Developer Ecosystem in Codex?

Run `npx skills add github/awesome-copilot --skill gtm-developer-ecosystem -a codex`. Or copy the skill folder (skills/gtm-developer-ecosystem in github/awesome-copilot) into .agents/skills/gtm-developer-ecosystem in your project. Codex loads it when a task matches its description.

Can I use Gtm Developer Ecosystem in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill gtm-developer-ecosystem -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gtm-developer-ecosystem, .gemini/skills/gtm-developer-ecosystem, .github/skills/gtm-developer-ecosystem and .opencode/skills/gtm-developer-ecosystem in your project.

What does Gtm Developer Ecosystem need to run?

SKILL.md names no scripts, command-line tools or credentials: Gtm Developer Ecosystem is instructions for the agent only.

Does Gtm Developer Ecosystem access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Gtm Developer Ecosystem safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Gtm Developer Ecosystem use?

Gtm Developer Ecosystem is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gtm Developer Ecosystem use?

About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Gtm Developer Ecosystem?

Skills that share tags, products or a category with Gtm Developer Ecosystem: Marketing Plan (Nexus-JPF/note-companion, 869 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Design (ferdinandobons/startup-skill, 1.2k stars) and Jaredrhod Marketing (jaredrhod/ai-marketing-skills, 278 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gtm Developer Ecosystem?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.