A month ago, a developer dropped a free prompt and Claude Skills library on Reddit. Last week they came back with a bigger version. The internet runs on free resource dumps that look impressive in the thread and become dead bookmarks by Thursday. Most libraries at this size are noise. This one isn’t, and the reason is step two of the workflow below.
AINews.tech now covers the full stack of working with AI. Not just prompts. Not just a model comparison table you’ll check once. The whole operational picture, from understanding what these tools actually are, to building real workflows, to shipping something that doesn’t fall apart between sessions.
What’s there:
- 115+ prompts across code, writing, research, analysis, and design. These aren’t generic “write me a blog post” starters. They’re specific enough to drop into real work immediately, covering tasks like writing technical specs, structuring research briefs, generating code reviews, and drafting analysis frameworks that actually hold up.
- 130+ Claude Skills sorted by role: developer, founder, marketer, HR, sales, customer success. The role-sorting matters more than the number. A founder doesn’t need a developer’s skill set and vice versa. The library understands that distinction and actually acts on it instead of just labeling things.
- A coding handbook covering stack layers, handoff patterns, review loops, and model roles. If you’ve ever lost work because you didn’t handle context breaks properly, or wasted a session because you handed off the wrong task to the wrong model, this handbook addresses both problems directly.
- Plain-English glossary for terms like RAG, MCP, context window, agents, evals. Not the Wikipedia version. The working version. The kind of definition that tells you what the thing does in practice, not just what it is in theory.
- Side-by-side model and tool comparisons that are actually current. The landscape shifts fast enough that most comparison resources are stale before they’re published. This one tracks it.
- Guides running from foundations through to shipping a real build. You don’t have to be technical to start, and you’re not stuck at the basics once you pick it up.
The twist: most free libraries are random dumps organized around what the creator found interesting. They’re built around enthusiasm, not around the person who shows up with a specific problem to solve. This one is organized around what you’re trying to do. You come in as a marketer who needs to tighten their content workflow and you find exactly that, not a pile of tangentially related things you have to sort through yourself. That’s a harder problem to solve, and most builders never bother because it requires understanding the user’s actual work, not just the technology. Someone understood the work here.
How to get value in under 10 minutes:
- 🎯 Go to ainews.tech/skills and pick your role pack (developer, founder, marketer, etc.). Resist the urge to browse everything. Pick the one role that matches what you’re doing this week and start there. You can come back for the rest later.
- ⚡ Pull 3 to 5 skills that match what you’re actually working on right now. Not what sounds interesting. Not what you might need someday. What’s on your plate today. The specificity is the whole point of the role-based structure, so use it.
- 📋 Cross-reference ainews.tech/prompts for the matching task prompts. The prompts are designed to pair with the skills, so you’re not writing from scratch or trying to figure out how to phrase the right request. The pairing does most of the heavy lifting.
- 🔧 Check ainews.tech/compare to confirm you’re on the right model for the job. Using a heavy model for a simple task wastes money. Using a fast model for a complex reasoning task wastes your time when it gets it wrong. Five minutes with the comparison tool can save you hours of debugging why the output isn’t landing.
Pro tip: The glossary is underrated for teams. If you’re onboarding someone to AI workflows, send them to ainews.tech/glossary first. Saves you 20 minutes of explaining what a context window is. More importantly, it gives the new person a shared vocabulary before they start asking questions, which means the questions they do ask are the useful kind, not the definitional kind you’d spend a whole meeting on anyway.
Pro tip: The coding handbook covers repo files and handoff patterns specifically. If your AI-assisted dev keeps breaking between sessions, that section is worth 10 minutes. The session-break problem is one of the most common reasons people give up on AI-assisted development, and it’s almost always a handoff pattern issue, not a model issue. The fix is simpler than most people think once you see it written out clearly.
Save yourself a week of collecting this scattered stuff yourself. 👉 ainews.tech
I expanded the free prompt/skills library I shared here last month
by u/Annual-Ad-2495 in PromptEngineering