last30days
by BrianRWagnerlast30days is a research skill for finding current trends, community sentiment, and actionable insights across Reddit, X, and the web within the last 30 days. It helps marketers, founders, product teams, and researchers run faster last30days usage for Web Research and decision-making.
This skill scores 78/100, which means it is a solid directory listing candidate for users who want a recent-signal research workflow. The repository gives enough evidence of a real, reusable process for 30-day research across Reddit, X, and web, so users can make a credible install decision, though they should still expect some execution details to be inferred from the markdown rather than from scripts or an install command.
- Clear triggerability and mode selection: the skill tells agents to detect context or ask for quick, standard, or deep research, with defaults and best-use guidance.
- Strong operational scope: it explicitly targets the last 30 days across Reddit, X, and web, with pattern detection, sentiment analysis, and actionable outputs.
- Good install-decision value: the repo has a substantial SKILL.md body, valid frontmatter, no placeholder markers, and concrete comparisons to generic research approaches.
- No install command or support files are provided, so adoption depends on interpreting the markdown skill directly rather than following packaged tooling.
- The evidence shows strong workflow intent, but not execution scripts or reference assets, which may leave some agent behavior details to prompt inference.
Overview of last30days skill
last30days is a research skill for finding what people are saying and doing right now across Reddit, X, and the web within the last 30 days. It is best for marketers, founders, product teams, and researchers who need current signals, not generic background knowledge. If you need a fast last30days for Web Research workflow that surfaces trends, sentiment, and practical angles, this skill is a strong fit.
What the last30days skill does
The last30days skill turns a vague research topic into a recent, multi-source intelligence pass. It looks for patterns, recurring complaints, emerging themes, and community language you can reuse in content, strategy, or positioning.
Who should install last30days
Install last30days if you need:
- topic validation before publishing or launching
- current community sentiment, not old blog synthesis
- a fast read on what is trending in a niche
- cross-platform research instead of single-source browsing
Where it stands out
Its main advantage is freshness plus synthesis: Reddit for real discussion, X for early signals, and web sources for supporting context. That makes the last30days skill more useful than a plain “research this topic” prompt when the decision depends on current behavior.
How to Use last30days skill
Install last30days
Use the repository install flow shown in the skill instructions, typically with npx skills add BrianRWagner/ai-marketing-skills --skill last30days. After install, confirm the skill name is exactly last30days so the agent can invoke the right instructions.
Give the skill a research brief
The skill works best when you provide:
- the topic or market question
- the audience or buyer segment
- the output type you want
- the time sensitivity or decision deadline
A weak request is: “Research AI agents.”
A stronger request is: “Use last30days to research AI agents for solo SaaS founders, focusing on Reddit complaints, X adoption signals, and web evidence from the last 30 days. Return trend themes, skepticism, and 3 content angles.”
Suggested workflow and files to read first
Start with SKILL.md, then check README.md for examples and positioning. If you are adapting the skill into another workflow, read the mode definitions first because they control depth, source mix, and expected output.
Practical workflow:
- choose
quick,standard, ordeep - define the topic narrowly enough to search
- ask for themes, examples, sentiment, and action ideas
- review whether the result is recent enough before using it
How to prompt for better output
Use prompts that specify scope and use case, such as:
- “Find what Reddit and X users have said about [topic] in the last 30 days.”
- “Summarize objections, repeated wins, and language I can reuse.”
- “Separate hype from repeatable patterns.”
The last30days usage pattern is strongest when you ask for synthesis, not just links.
last30days skill FAQ
Is last30days better than a normal research prompt?
Yes, when recency matters. A normal prompt can summarize known information, but last30days is built for current signals and source blending across Reddit, X, and the web.
When should I not use last30days?
Do not use it for evergreen background research, long historical analysis, or topics where a 30-day window would hide the real pattern. It is a current-signal tool, not a full literature review.
Is the last30days skill beginner-friendly?
Yes, if you can state a clear topic and audience. Beginners usually get the best results from the standard mode because it balances speed and synthesis without requiring deep prompt engineering.
Does last30days fit Web Research workflows?
Yes. It is especially useful for last30days for Web Research when you need recent, opinion-rich evidence from communities, not just indexed articles.
How to Improve last30days skill
Narrow the question before you run it
The biggest quality gain comes from scope. “Productivity tools” is too broad; “AI note-taking tools for sales teams” is much better. Narrow inputs help the skill detect real patterns instead of noise.
Ask for decision-ready output
If you want better last30days usage, request a format that supports action:
- top themes
- strongest sentiment
- representative quotes or paraphrases
- risks, objections, and opportunities
- next-step recommendations
That makes the result easier to use for content, marketing, or product planning.
Watch for common failure modes
The main risk is overbroad research that mixes unrelated audiences or too many subtopics. Another common issue is treating old web pages as if they were recent signals. If freshness is critical, explicitly ask for 30-day evidence and recent community language.
Iterate after the first pass
Use the first report to refine the next prompt. For example, if the output shows one recurring pain point, rerun last30days on that pain point alone. If X looks noisy, shift emphasis toward Reddit. If you need strategy, move from quick to deep and ask for competitive implications.