developer-audience-context
À propos
Cette compétence établit et met à jour un profil fondamental de l'audience développeur, garantissant un contexte cohérent à travers tous les workflows de marketing destiné aux développeurs. Elle crée ou modifie un fichier `.agents/developer-audience-context.md`, qui est automatiquement référencé par d'autres compétences connexes. Elle s'active sur des expressions telles que "persona développeur", "développeurs cibles" ou "ICP".
Installation rapide
Claude Code
Recommandénpx skills add jonathimer/devmarketing-skills -a claude-code/plugin add https://github.com/jonathimer/devmarketing-skillsgit clone https://github.com/jonathimer/devmarketing-skills.git ~/.claude/skills/developer-audience-contextCopiez et collez cette commande dans Claude Code pour installer cette compétence
Documentation
Developer Audience Context
This skill helps you create and maintain .agents/developer-audience-context.md — a foundational document that captures everything about your target developers. All other developer marketing skills reference this document first, so you only define your audience once.
Before You Start
Check if .agents/developer-audience-context.md exists:
- If it exists: Read it and offer to update specific sections
- If it doesn't exist: Create the directory and file, then walk through each section
Two Ways to Build Context
Option 1: Auto-Draft from Codebase (Recommended)
Analyze existing materials to draft an initial version:
- README.md — Product description, features, getting started
- Documentation —
/docs, API reference, tutorials - Landing pages —
index.html, marketing copy - package.json / pyproject.toml — Dependencies reveal ecosystem
- GitHub Issues — Common questions, frustrations, use cases
- Existing blog posts — Technical content, tutorials
After drafting, walk through each section to validate and fill gaps.
Option 2: Start from Scratch
Ask questions section-by-section. Don't advance until the current section is complete.
The 10 Sections to Capture
1. Product Overview
| Field | What to capture |
|---|---|
| Product name | Official name and any aliases |
| One-liner | "We help [developers] do [X] without [Y]" |
| Category | API, SDK, CLI, SaaS, open source library, infrastructure |
| Core technology | Languages, frameworks, platforms supported |
| Pricing model | Free/open source, freemium, usage-based, seat-based |
2. Developer Persona
Not "developers" generically — get specific:
| Field | What to capture |
|---|---|
| Primary role | Backend, frontend, full-stack, DevOps, data, ML, mobile |
| Seniority | Junior, mid, senior, staff, lead, architect |
| Company size | Solo, startup, scale-up, enterprise |
| Industry verticals | Fintech, healthtech, e-commerce, gaming, B2B SaaS |
| Tech stack | Languages, frameworks, cloud providers they use |
| Decision authority | Individual contributor, team lead, buyer, influencer |
Ask: "Describe the developer who gets the most value from your product in one paragraph. What's their day-to-day like?"
3. Where They Hang Out
Developers research before they buy. Know where:
| Channel | Specifics to capture |
|---|---|
| Communities | Specific subreddits, Discord servers, Slack groups |
| Social | Twitter/X hashtags, LinkedIn groups |
| Content | Blogs they read, newsletters they subscribe to, podcasts |
| Events | Conferences, meetups, hackathons |
| Code | GitHub topics, Stack Overflow tags |
Pro tip: Use social listening tools to monitor conversations across Hacker News, Reddit, Stack Overflow, GitHub, and Twitter. See where discussions about your problem space happen organically.
4. Problems & Pain Points
Capture the actual problems, not your solution's features:
| Level | What to capture |
|---|---|
| Functional | "I can't do X" / "X takes too long" / "X is error-prone" |
| Emotional | Frustration, anxiety, embarrassment, fear |
| Situational | When does the pain occur? What triggers the search? |
Ask: "What's the #1 frustration that brings developers to you?"
Research: Search Reddit, Hacker News, and Stack Overflow for complaints about your problem space. Capture verbatim quotes.
5. Current Alternatives
What are developers using today instead of you?
| Alternative type | Examples |
|---|---|
| Direct competitors | Tools that solve the same problem |
| DIY / build it yourself | Custom scripts, internal tools |
| Indirect solutions | Workarounds, manual processes |
| Do nothing | Live with the pain |
For each alternative, capture:
- Why developers choose it
- What's frustrating about it
- What would make them switch
6. Key Differentiators
What makes you different — in developer terms:
| Differentiator type | Example |
|---|---|
| Technical | "10x faster," "No dependencies," "Type-safe" |
| DX (Developer Experience) | "5-minute setup," "Great docs," "First-class CLI" |
| Ecosystem | "Works with X," "Built for Y framework" |
| Philosophy | "Open source," "Privacy-first," "Local-first" |
Warning: Avoid marketing fluff. Developers see through "best-in-class" and "enterprise-grade." Use specific, provable claims.
7. Verbatim Developer Language
Capture exact phrases developers use — not polished marketing copy:
| Category | Examples |
|---|---|
| Describing the problem | "This is such a pain," "I wish I could just..." |
| Describing your product | How they explain it to others |
| Objections | "But what about...", "I'm worried that..." |
| Praise | Testimonials, tweets, GitHub comments |
Sources: GitHub issues, Twitter mentions, Hacker News comments, support tickets, sales calls, community Slack/Discord.
8. Technical Trust Signals
What proof points matter to developers:
| Signal type | Examples |
|---|---|
| Adoption | GitHub stars, npm downloads, Docker pulls |
| Quality | Test coverage, security audits, uptime SLA |
| Community | Contributors, Discord members, forum activity |
| Credibility | Backed by X, used by Y, created by Z |
| Transparency | Open source, public roadmap, changelog |
9. Conversion Actions
What does success look like at each stage?
| Stage | Primary action | Secondary actions |
|---|---|---|
| Awareness | Star repo, follow on Twitter | Read blog post, share content |
| Consideration | Clone repo, read docs | Watch demo, join Discord |
| Trial | Sign up, install SDK | Complete quickstart, make first API call |
| Activation | Reach "Hello World" moment | Integrate into real project |
| Conversion | Upgrade to paid | Add team members, expand usage |
10. Voice & Tone
How should you sound when talking to these developers?
| Dimension | Spectrum |
|---|---|
| Formality | Casual ← → Professional |
| Technicality | Accessible ← → Deep technical |
| Personality | Neutral ← → Opinionated |
| Humor | Serious ← → Playful |
Examples:
- Stripe → Professional, precise, clean
- Vercel → Modern, confident, developer-first
- Supabase → Friendly, accessible, community-driven
- Tailwind → Opinionated, direct, practical
Output Format
Save to .agents/developer-audience-context.md with this structure:
# Developer Audience Context
Last updated: [DATE]
## Product Overview
[Section content]
## Developer Persona
[Section content]
## Where They Hang Out
[Section content]
## Problems & Pain Points
[Section content]
## Current Alternatives
[Section content]
## Key Differentiators
[Section content]
## Verbatim Developer Language
[Section content]
## Technical Trust Signals
[Section content]
## Conversion Actions
[Section content]
## Voice & Tone
[Section content]
Maintenance
Update this document when:
- You learn something new from user research
- You find great verbatim quotes
- Your positioning or differentiation changes
- You expand to new developer segments
Tools
| Tool | Use case |
|---|---|
| Octolens | Monitor developer conversations across GitHub, Hacker News, Reddit, Stack Overflow, Twitter. Essential for capturing verbatim language, finding pain points, and understanding where your developers hang out. |
| GitHub Search | Find how developers describe problems in issues |
| Twitter Advanced Search | Find discussions about your space |
| Google Alerts | Track mentions of competitors and problem keywords |
Related Skills
After establishing context, these skills will reference it:
devrel-content— Writing content that resonateshacker-news-strategy— Engaging on HN authenticallydeveloper-onboarding— Optimizing time-to-valuedeveloper-seo— Targeting the right technical queriescompetitor-tracking— Understanding your competitive landscape
Dépôt GitHub
Compétences associées
content-collections
MétaCette compétence propose une configuration éprouvée en production pour Content Collections, un outil axé sur TypeScript qui transforme des fichiers Markdown/MDX en collections de données typées de manière sûre avec une validation Zod. Utilisez-la lors de la création de blogs, de sites de documentation ou d'applications Vite + React riches en contenu pour garantir la sécurité de typage et la validation automatique du contenu. Elle couvre tout, de la configuration du plugin Vite et de la compilation MDX à l'optimisation des déploiements et la validation des schémas.
polymarket
MétaCette compétence permet aux développeurs de créer des applications avec la plateforme de marchés prédictifs Polymarket, incluant l'intégration d'API pour le trading et les données de marché. Elle fournit également une diffusion de données en temps réel via WebSocket pour surveiller les transactions en direct et l'activité du marché. Utilisez-la pour mettre en œuvre des stratégies de trading ou pour créer des outils traitant les mises à jour de marché en direct.
creating-opencode-plugins
MétaCette compétence aide les développeurs à créer des plugins OpenCode qui s'interconnectent avec plus de 25 types d'événements tels que les commandes, les fichiers et les opérations LSP. Elle fournit la structure du plugin, les spécifications de l'API événementielle et les modèles d'implémentation pour les modules JavaScript/TypeScript. Utilisez-la lorsque vous avez besoin d'intercepter, de surveiller ou d'étendre le cycle de vie de l'assistant IA OpenCode avec une logique personnalisée pilotée par les événements.
sglang
MétaSGLang est un framework de service LLM haute performance spécialisé dans la génération rapide et structurée pour les workflows JSON, regex et agentiques grâce à son cache de préfixe RadixAttention. Il offre une inférence nettement plus rapide, particulièrement pour les tâches avec des préfixes répétés, ce qui le rend idéal pour les sorties complexes et structurées ainsi que les conversations multi-tours. Choisissez SGLang plutôt que des alternatives comme vLLM lorsque vous avez besoin d'un décodage contraint ou que vous construisez des applications avec un partage étendu de préfixes.
