.agents/skills/launch-strategy/SKILL.md
When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'how do I launch this,' 'launch checklist,' 'GTM plan,' or 'we're about to ship.' Use this whenever someone is preparing to release something publicly. For ongoing marketing after launch, see marketing-ideas.
npx skillsauth add G858-debug/No-Safe-Word launch-strategyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are an expert in SaaS product launches and feature announcements. Your goal is to help users plan launches that build momentum, capture attention, and convert interest into users.
Check for product marketing context first:
If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
The best companies don't just launch once—they launch again and again. Every new feature, improvement, and update is an opportunity to capture attention and engage your audience.
A strong launch isn't about a single moment. It's about:
Structure your launch marketing across three channel types. Everything should ultimately lead back to owned channels.
You own the channel (though not the audience). Direct access without algorithms or platform rules.
Examples:
Why they matter:
Start with 1-2 based on audience:
Example - Superhuman: Built demand through an invite-only waitlist and one-on-one onboarding sessions. Every new user got a 30-minute live demo. This created exclusivity, FOMO, and word-of-mouth—all through owned relationships. Years later, their original onboarding materials still drive engagement.
Platforms that provide visibility but you don't control. Algorithms shift, rules change, pay-to-play increases.
Examples:
How to use correctly:
Example - Notion: Hacked virality through Twitter, YouTube, and Reddit where productivity enthusiasts were active. Encouraged community to share templates and workflows. But they funneled all visibility into owned assets—every viral post led to signups, then targeted email onboarding.
Platform-specific tactics:
Rented channels give speed, not stability. Capture momentum by bringing users into your owned ecosystem.
Tap into someone else's audience to shortcut the hardest part—getting noticed.
Examples:
Be proactive, not passive:
Example - TRMNL: Sent a free e-ink display to YouTuber Snazzy Labs—not a paid sponsorship, just hoping he'd like it. He created an in-depth review that racked up 500K+ views and drove $500K+ in sales. They also set up an affiliate program for ongoing promotion.
Borrowed channels give instant credibility, but only work if you convert borrowed attention into owned relationships.
Launching isn't a one-day event. It's a phased process that builds momentum.
Gather initial feedback and iron out major issues before going public.
Actions:
Goal: Validate core functionality with friendly users.
Put the product in front of external users in a controlled way.
Actions:
Goal: First external validation and initial waitlist building.
Scale up early access while generating external buzz.
Actions:
Consider adding:
Goal: Build buzz and refine product with broader feedback.
Shift from small-scale testing to controlled expansion.
Actions:
Expansion options:
Goal: Validate at scale and prepare for full launch.
Open the floodgates.
Actions:
Launch touchpoints:
Goal: Maximum visibility and conversion to paying users.
Product Hunt can be powerful for reaching early adopters, but it's not magic—it requires preparation.
Before launch day:
On launch day:
After launch day:
SavvyCal (Scheduling tool):
Reform (Form builder):
Your launch isn't over when the announcement goes live. Now comes adoption and retention work.
Educate new users: Set up automated onboarding email sequence introducing key features and use cases.
Reinforce the launch: Include announcement in your weekly/biweekly/monthly roundup email to catch people who missed it.
Differentiate against competitors: Publish comparison pages highlighting why you're the obvious choice.
Update web pages: Add dedicated sections about the new feature/product across your site.
Offer hands-on preview: Create no-code interactive demo (using tools like Navattic) so visitors can explore before signing up.
It's easier to build on existing momentum than start from scratch. Every touchpoint reinforces the launch.
Don't rely on a single launch event. Regular updates and feature rollouts sustain engagement.
Use this matrix to decide how much marketing each update deserves:
Major updates (new features, product overhauls):
Medium updates (new integrations, UI enhancements):
Minor updates (bug fixes, small tweaks):
Space out releases: Instead of shipping everything at once, stagger announcements to maintain momentum.
Reuse high-performing tactics: If a previous announcement resonated, apply those insights to future updates.
Keep engaging: Continue using email, social, and in-app messaging to highlight improvements.
Signal active development: Even small changelog updates remind customers your product is evolving. This builds retention and word-of-mouth—customers feel confident you'll be around.
development
# SDXL Character LoRA Training — Pipeline Reference ## Overview Character LoRAs are trained using Kohya sd-scripts (`sdxl_train_network.py`) on RunPod GPU pods. Training runs as a fire-and-forget batch job — the orchestrator creates the pod, the pod trains, uploads the result, and POSTs a webhook on completion. **Base model for training:** SDXL 1.0 base (NOT Juggernaut Ragnarok). Training against the base model produces portable LoRAs that work across all SDXL fine-tunes (Juggernaut, RealVisX
testing
# Juggernaut XL Ragnarok — Pipeline Reference ## Overview Juggernaut XL Ragnarok is a photorealistic SDXL checkpoint. It is the most downloaded SDXL model (520K+ downloads) and the final SDXL release from KandooAI / RunDiffusion. **Key characteristics:** - Photorealistic output with cinematic quality - NSFW capability baked into training (trained with Booru tags on an NSFW dataset, merged with a Lustify-based NSFW pass for anatomical stability) - Supports BOTH natural language prompts AND Boo
tools
# Image Editing Workflows — Pipeline Reference ## Overview After initial image generation, the user has access to several post-generation editing tools. These are ComfyUI workflow variants that modify an existing generated image rather than generating from scratch. All editing workflows run on the same RunPod serverless infrastructure as generation, using the same Juggernaut Ragnarok checkpoint. ## Inpainting **Purpose:** Fix a specific region of a generated image without regenerating the w
testing
When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' 'ideas to grow,' 'what else can I try,' 'I don't know how to market this,' 'brainstorm marketing,' or 'what marketing should I do.' Use this as a starting point whenever someone is stuck or looking for inspiration on how to grow. For specific channel execution, see the relevant skill (paid-ads, social-content, email-sequence, etc.).