Complete AI TrainingYourJobSkills for your job

Skills / workflow

github-presence

When the user wants to optimize their GitHub profile, README, or project discoverability. Trigger phrases include "GitHub README," "README optimization," "GitHub profile," "GitHub stars," "GitHub discoverability," "awesome lists," or "GitHub marketing."

Project & Program ManagementOperations & Supply ChainAI & Automation

GitHub Presence

When to Use

Use this skill when you need when the user wants to optimize their GitHub profile, README, or project discoverability. Trigger phrases include "GitHub README," "README optimization," "GitHub profile," "GitHub stars," "GitHub discoverability," "awesome lists," or "GitHub marketing.".

GitHub is where developers evaluate your project before trying it. This skill covers README optimization, profile READMEs, discoverability through topics and awesome lists, and using GitHub features for marketing.


Before You Start

  1. Read .agents/developer-audience-context.md if it exists
  2. Audit your current GitHub presence (profile, pinned repos, READMEs)
  3. Understand: GitHub is often the first technical evaluation — optimize accordingly

README Structure

The Anatomy of a Great README

SectionPurposeRequired?
Logo/BannerBrand recognition, visual appealRecommended
BadgesQuick trust signals, statusRecommended
One-linerWhat it does in one sentenceRequired
Hero exampleImmediate "what does it look like?"Highly recommended
FeaturesWhy use this over alternativesRequired
Quick startGet running in < 2 minutesRequired
InstallationAll installation methodsRequired
UsageCore usage examplesRequire

Subscribers only

The full skill, its 2 bundled files and every download is included with every paid Complete AI plan.

Details

Sourcejonathimer/devmarketing-skills
LicenseMIT
Risk labelcritical ("critical" means the skill may run commands or touch files — read before use)
FilesREADME.md, SKILL.md
Added2026-07-01

Related skills

acceptance-orchestrator

Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

address-github-comments

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

ai-loop

Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.

airflow-dag-patterns

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

antigravity-workflows

Use when asked to ship a SaaS MVP, audit application security, build an AI agent, run browser QA, or design a domain model with multiple skills and verified checkpoints.

ask-questions-if-underspecified

Clarify requirements before implementing. Use when serious doubts arise.