OpenClaw is already good at orchestrating tools, but it gets a lot more interesting when you give it a skill that is obsessed with one job and unusually good at it.

That is what last30days-skill is for. Instead of doing a generic web search and pretending the last month of discussion can be reconstructed from a few blog posts, it is built to pull recent signals from places people actually argue, react, upvote, like, and bet.

For an OpenClaw user, that makes it useful any time you want current sentiment, current complaints, current momentum, or a fast brief before a meeting.

What last30days-skill actually does

The project describes itself as a research skill for finding what people have actually been saying about a topic over the last 30 days.

In practice, it does a few things that make it more useful than a plain search prompt:

• expands a topic into the places that matter before searching

• searches multiple sources in parallel

• pulls deeper evidence such as Reddit comments, YouTube transcripts, GitHub activity, and market odds

• scores results by engagement, relevance, and freshness

• merges the same story across sources into one cleaner brief

• synthesizes the result into a grounded report instead of a loose pile of links

The supported-source story is also strong. The current project docs and skill spec point to coverage across Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, Digg, Bluesky, Truth Social, and the web, with some sources available immediately and others unlocked through keys or browser auth.

Why this skill is worth adding to OpenClaw

There are a lot of "research" tools that mostly mean "I searched the web and summarized whatever ranked well."

last30days-skill is better than that for a different reason: it is built around where people are reacting right now.

That matters because:

• Reddit tells you what users actually complain about

• X tells you what people are reacting to in real time

• YouTube transcripts catch the deeper long-form takes

• GitHub shows what a project or person is actually shipping

• Polymarket adds a real-money confidence signal instead of pure opinion

• Hacker News helps when the topic has a technical audience

So if you are using OpenClaw as a personal research assistant, this skill gives it a much better recency layer than a normal search-and-summarize flow.

What you need before you install it

You do not need a new server just for this skill, but you do want a realistic expectation of what is required.

Minimum

• a working OpenClaw install

• access to the openclaw CLI

• Node.js and Python 3 available on the machine

• enough permissions to install a ClawHub skill into your workspace or global skill directory

Recommended

• yt-dlp installed if you want the YouTube side to be more useful

• at least one web/research key such as Brave Search or ScrapeCreators if you want broader source coverage

• X access via XAI_API_KEY or browser-cookie style auth if X matters to your workflow

• a normal OpenClaw setup where you are already comfortable restarting the Gateway or starting a new session when needed

What works with zero config

According to their docs, Reddit, Hacker News, Polymarket, and GitHub work immediately.

That is one of the nicer parts of this skill: you can get value before you start wiring in every optional source.

Install last30days-skill in OpenClaw

The skill repository calls out the OpenClaw package slug as last30days-official. Current OpenClaw docs install ClawHub skills through openclaw skills install <slug>, so the current practical command is:

openclaw skills install last30days-official

If you want the skill available for all local agents instead of only the current workspace, use:

openclaw skills install last30days-official --global

After that, confirm OpenClaw can see it:

openclaw skills list

You should see the installed skill in the list.

How to use it in OpenClaw

The skill metadata marks it as user-invocable, so the natural interface is by skill name.

A few practical examples:

/last30days OpenClaw

/last30days nvidia earnings reaction

/last30days what users want in react

You can also use comparison-style prompts such as:

/last30days OpenClaw vs Hermes Agent

And that is where the skill starts to become genuinely useful inside OpenClaw. Instead of asking the base agent to improvise a current-state comparison from whatever it can scrape together, you are giving it a purpose-built recency engine first.

What happens after the first run

This project is designed to degrade gracefully.

On the first run, you can use the free baseline sources immediately. Then, depending on what credentials or local tools you add, more sources unlock.

The project documentation specifically calls out these common upgrades:

• X / Twitter via browser login, XAI_API_KEY, or compatible auth paths

• YouTube via yt-dlp

• TikTok, Instagram, Threads, and some expanded scraping flows via SCRAPECREATORS_API_KEY

• Web search via a key such as BRAVE_API_KEY

• Bluesky via an app password

The skill spec also marks many of these as optional rather than hard-required, which is exactly the right shape for an OpenClaw add-on. You can start narrow, then unlock more as your use case gets more serious.

Where it fits in an OpenClaw workflow

OpenClaw gives you the agent, the Gateway, the channels, the control plane, and the surrounding tool system. last30days-skill gives that agent a much sharper way to answer questions like:

• what are people saying about this product right now?

• what changed around this person or company in the last month?

• what are the current complaints before I take a sales call?

• what does the community think about tool A versus tool B?

• what are the recent signals before I write about a topic?

That combination makes sense.

A few caveats worth knowing

This skill is powerful, but it is not magic.

A few realities are worth keeping in mind:

• the best source coverage comes when you add optional keys and helper tools

• some sources depend on outside services and platform auth, so quality can vary based on what you have configured

• it is optimized for recent signal, not timeless reference documentation

• very broad topics can still produce messy output if the query itself is vague

That last point is important. This skill works best when the topic is specific enough to anchor the search properly.

My take

For OpenClaw users, this is the kind of skill that makes the platform feel more alive.

It is not just another tiny utility skill with one command and one boring outcome. It meaningfully changes what your OpenClaw agent can research well, especially when you care about recency, community reaction, and cross-source synthesis rather than generic search-engine leftovers.

If you already use OpenClaw for research, writing, product tracking, or pre-meeting prep, last30days-skill is an easy one to justify.

What to try first

If you install it, these are the three tests I would run first:

1. a person you are about to meet

2. a product you are evaluating

3. a direct comparison between two tools in the same category

That is usually enough to tell whether you want to keep it as a permanent part of your OpenClaw setup.