Devrel Playbook logo

Devrel Playbook

Community
Gingiris-1031
devrel-playbook

Build and measure Developer Relations programs across documentation, community, technical content, integrations, events and developer advocacy. Use when designing DevRel strategy, improving developer activation, launching an API/SDK, evaluating sponsorships, or connecting community activity to product adoption and revenue.

Overview

PublisherGingiris-1031
Repositorygingiris-skills
Skill namedevrel-playbook
Stars
88
Forks
6
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Gingiris-1031 on GitHub. Read the source before you install it.

Installation

Install the Devrel Playbook 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/Gingiris-1031/gingiris-skills/tree/main/skills/devrel-playbook
  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/Gingiris-1031/gingiris-skills.git /tmp/gingiris-skills
mkdir -p .claude/skills
cp -r /tmp/gingiris-skills/skills/devrel-playbook .claude/skills/devrel-playbook
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devrel Playbook 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 Devrel Playbook 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 Devrel Playbook 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.

DevRel Playbook — Developer Activation, Community and Revenue

DevRel exists to reduce the distance between a developer's first exposure and sustained product value. Do not optimize only for members, event attendance or impressions.

Diagnose the bottleneck

Choose one primary problem:

ProblemEvidenceFirst intervention
DiscoveryICP developers do not know the projecttechnical content and ecosystem distribution
UnderstandingDocs traffic is high, quickstart completion is lowREADME/docs usability tests
ActivationKeys/SDK installed, first successful call is lowsample app and error-path repair
RetentionDevelopers try once and disappearuse-case education, office hours, lifecycle prompts
ContributionUsers want changes but do not contributeissue design, maintainer SLA, contributor onboarding
Enterprise pullTeams use product but procurement is invisibleusage-qualified account handoff to sales

Developer journey instrumentation

Track:

text
source → docs/README visit → quickstart start → first success → second session → production use → contribution/qualified account

Define each event and cohort window. Separate employees, bots, test accounts and event attendees who never touched the product.

Documentation system

Maintain four layers:

  1. README: outcome, demo, quickstart, license and support path;
  2. Tutorial: one job completed end to end;
  3. How-to: focused operational tasks and integrations;
  4. Reference: complete APIs, errors, limits and versions.

Run five-developer task tests quarterly. Record completion time, failure step, search terms and recovery success. Documentation is a product surface, not a publishing queue.

Community operating model

  • Assign owner and response SLA for support, bugs and feature discussions.
  • Separate announcements, help, showcase and contributor channels.
  • Turn repeated questions into docs; turn reproducible bugs into issues.
  • Recognize substantive help, not message volume.
  • Publish moderation and escalation rules before growth.

Weekly review: unanswered questions, median time to useful answer, activated community members, recurring friction and contributions merged.

Technical content and comparison assets

Prioritize content a developer can verify:

  • reproducible benchmark with methodology;
  • architecture/deep-dive explaining tradeoffs;
  • migration or integration tutorial;
  • honest comparison page stating where each option wins;
  • user build story with repo or demo.

The anonymized Apache-ecosystem campaign in the Gingiris case library combined README repair, comparison content and backlinks/sponsor distribution; it reported 200K impressions and +401 stars in 10 days. Treat this as historical evidence, not guaranteed lift.

Events, hackathons and sponsorships

Approve only when the event reaches the target developer and has a post-event activation path.

Before: define build prompt, sample app, mentor coverage, attribution and success event. During: measure builders who reach first success, not registrations. After: route viable projects to showcase, contributor or customer tracks and measure D7/D30 continuation.

Event scorecard:

text
qualified registrants | builders started | first success | demos completed | D7 active | contributions | opportunities | total cost

Ecosystem and backlink program

  • Maintain official integration pages and reciprocal technical documentation.
  • Contribute useful examples to ecosystem repositories before requesting promotion.
  • Use sponsor/newsletter placements only with source-tagged links and a relevant developer offer.
  • Reject paid link schemes and irrelevant directory volume.

DevRel-to-sales boundary

DevRel educates and earns trust; it does not disguise sales outreach as community help. Hand off an account only when product usage, team expansion, security/procurement questions or explicit intent creates a qualified signal. Tell the developer when a commercial teammate is joining.

30-day operating plan

  • Week 1: baseline journey, interview five developers, identify one bottleneck.
  • Week 2: repair the highest-frequency docs/product failure and ship one proof asset.
  • Week 3: distribute through two relevant communities or ecosystem partners.
  • Week 4: compare activation/retention against baseline and decide keep, change or stop.

Required output

Return a developer journey, bottleneck diagnosis, 30-day plan, channel owners, measurement schema, community escalation rules and a monthly executive report connecting activity to activated/retained developers.

Compliance

Never buy stars, fake community activity, conceal sponsorship, scrape private member data or manufacture benchmarks. Obtain consent before using developer stories or code.

加入出海社群与购买资料包 · Community & Resources

  • 加入出海社群: 微信添加 staywildgrow,留言「加入社群」即可。

  • 购买资料包: 微信添加 staywildgrow,咨询购买 Gingiris 出海资料包,价格 599 元人民币。

  • Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).

  • Get the resource pack: Add staywildgrow on WeChat to purchase the Gingiris global growth resource pack for CNY 599.

社群与资料包为可选入口,不影响本开源 Skill 的安装和使用。

The community and paid resource pack are optional; neither is required to install or use this open-source skill.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Devrel Playbook AI skill do?

Build and measure Developer Relations programs across documentation, community, technical content, integrations, events and developer advocacy. Use when designing DevRel strategy, improving developer activation, launching an API/SDK, evaluating sponsorships, or connecting community activity to product adoption and revenue.

Why use Devrel Playbook on TypingMind?

Because you install it once and use it with any model. Devrel Playbook 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 Devrel Playbook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/devrel-playbook. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Devrel Playbook?

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 Devrel Playbook?

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

Is the Devrel Playbook AI skill free?

Yes. It is published on GitHub by Gingiris-1031 under the MIT 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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