Theme
AI Resources
Last30Days Skill
Last30Days Skill is a cross-client agent skill for researching what has happened around a topic in the last 30 days.
The current v3 repository supports Claude Code, Codex, Cursor, Copilot, Gemini CLI, OpenClaw, claude.ai, and many Agent Skills hosts. Its source mix can include Reddit, Hacker News, Polymarket, GitHub, X, YouTube, TikTok, Instagram, Threads, Pinterest, LinkedIn, Bluesky, web grounding, and optional local files, depending on setup. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A recent-topic research skill
It is a reusable agent workflow that gathers recent signals, ranks the available evidence, and asks the host assistant to produce a dated, source-linked brief.
Why it stands out
One run across several signal sources
Instead of checking one search page, the skill can combine public discussion, engagement, market signals, code activity, video, social sources, and web results, then synthesize what changed.
Availability
Several install paths, different source access
Claude Code has a marketplace path, many other clients can use the Agent Skills installer, claude.ai can upload a packaged skill, and OpenClaw has a dedicated install. Reddit, Hacker News, Polymarket, and GitHub work without extra source credentials; other sources need setup.
Why it matters
What makes it useful
Recency work can sprawl when a topic moves across communities, code, markets, videos, social networks, and the wider web. Last30Days turns that sweep into a repeatable agent task before someone writes, chooses a tool, or updates a plan.
What to know
Where it fits
Use it as a research workflow around an agent, not as a fact-checking authority. Its value is the repeatable cross-channel sweep and dated brief format; the reader still needs to open the linked sources before relying on claims.
Notable points
What stands out
The current source of truth is skills/last30days/SKILL.md. The repository also includes configuration guidance, setup and research scripts, tests, client manifests, release packaging, and a changelog for v3.
Before using
What to review
Run the project's source diagnosis and check which channels are actually available. Browser-derived X access can read sensitive session credentials, so confirm which browser profile and session are used and where authentication material is stored.
Scope optional local-file search to folders you intend to expose. Review credentials, caches, and saved reports under ~/.config/last30days or Documents before sharing or exporting them.
Whether a topic involves private people, sensitive communities, unreleased products, legal issues, finance, health, safety, or security, where a short trend brief can be too thin for decisions.
The linked source materials behind the final brief, especially when community chatter, GitHub activity, or trend movement is being treated as evidence.
Use the current install path for the chosen client and check updates, because the v3 skill, scripts, manifests, and supported sources continue to change.
Reader fit
Who may find it relevant
People who write or update AI pages, posts, notes, or project plans and need a quick check on whether the topic moved recently.
Agent users comparing reusable skills for research workflows rather than one-off prompts.
Less relevant for readers who want a verified report, a finished news product, or a source of truth without opening the underlying links.
Editorial note
Why LifeHubber lists it
Last30Days makes recent-topic checking reusable across many agent clients. Its breadth is useful for discovery, but the result is still a research lead: open the sources and verify important claims before acting on it.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Turn recent signals into checked evidence.
A cross-source sweep can show what people are discussing. Continue by understanding how AI search assembles an answer, then check important claims before using them.
More in AI Agents
Keep browsing this category
Explore more AI agent projects.
RAGFlow
infiniflow/ragflow
A self-hostable RAG and agent-context platform whose v0.27 line adds Knowledge Compilation, Agentic RAG thinking modes, document and data-source connectors, citations, APIs, and agent workflows.
Open Notebook
lfnovo/open-notebook
A self-hosted AI research workspace for organizing sources, chatting with selected material, searching with full-text or vector retrieval, writing notes, generating multi-speaker podcasts, and choosing local or cloud model providers.
Awesome GPT Image 2
freestylefly/awesome-gpt-image-2
A prompt-as-code library for GPT Image 2 with a categorized case gallery, reusable visual prompt templates, a live browsing site, and an installable agent skill for turning image ideas into structured prompts.
For project maintainers
Listed here? You can use the badge.
If you maintain a project with a current LifeHubber listing, you may add the optional “Listed on LifeHubber AI Resources” badge to its README, docs, or website. No introduction or permission request is needed.