01Open daily current-event pages
02Scan entries and related terms manually
03Copy each original source link
04Standardize count, order, and formatting
SOURCED CURRENT-EVENT BRIEFINGS
Turn world events
into verifiable briefings
world-events-briefing collects global current-event material from Wikipedia Current Events and GDELT DOC 2.0, organizes it by date, country term, or keyword, and returns structured briefings with links to the original sources.
Date and keyword organizationNo API key requiredSource links retained
> Generate yesterday’s global briefing with 5 items.
01Resolve previous UTC day · 2026-09-14
02Read Wikipedia Current Events
03Attempt GDELT DOC 2.0
04Normalize · deduplicate · cap results
5 items returned● COMPLETE
BEFORE / AFTER
From fragmented collection
to a complete source trail
Generate five dated, numbered events with direct source links in one view, reducing manual scanning, copying, and formatting.
After · Live resultGlobal current events briefing
PROMPTUse world-events-briefing to generate yesterday’s global current events briefing with 5 items.
CORE CAPABILITIES
Core capabilities
Organize global current events by date, country term, or keyword while retaining the source name and original link.
Previous-day briefings
Generates dated, numbered current-event results for the previous UTC day, with original sources attached.
Country-term filtering
Applies a case-insensitive substring match to Wikipedia event text and returns potentially relevant entries.
Keyword briefings
Matches keywords across titles, descriptions, topics, and categories. Daily runs can be combined into a month-wide set.
Controlled item counts
Enforces the maximum requested in the prompt.
Source traceability
Retains a named source and original link for every displayed result, supporting direct review.
Single-source degradation
When GDELT is rate-limited or times out, the run can still complete with Wikipedia Current Events results.
HOW IT WORKS
From prompt to sourced result
The native interface processes one date per call. The past-month set was produced through daily runs, then merged and deduplicated by URL.
Define the request
Choose a date or yesterday, then add a country term, keyword, and maximum item count.
Fetch sources
Read Wikipedia Current Events and attempt the GDELT DOC 2.0 query.
Apply filters
Match country terms or keywords against the event text.
Assemble results
Normalize entries, deduplicate URLs, and enforce the requested item cap.
Return the briefing
Provide dates, categories, topics, source names, and original links.
USE CASES
Three practical working patterns
Cover daily briefings, country-term discovery, and month-wide keyword summaries. Month-wide searches are assembled through daily calls and merging.
Daily current-event briefings
Create a controlled set of global events for the previous UTC day, with a source retained for every item.
Country-term discovery
Filter a day’s event text with terms such as America or Iran to identify potentially relevant entries.
Month-wide keyword briefings
Search election day by day, merge and deduplicate the results, then return up to ten of the most recent matches.
CASE STUDIES
Three real-world examples
See the core workflows in action: a previous-day briefing, country-term filtering, and a month-wide keyword summary.
Yesterday’s Global Briefing
Use world-events-briefing to generate yesterday’s global current events briefing with 5 items.
Five global current-event items were returned for September 14, 2026.
GDELT returned HTTP 429. Every displayed result came from Wikipedia Current Events.
Iran-Related Current Events
Find international current events related to Iran, with a maximum of 10 items.
One Iran-related item was returned for September 14, 2026.
GDELT timed out. The displayed item came from Wikipedia Current Events.
Election Briefing · Past Month
Generate a global news briefing related to elections, covering the past month, with no more than 10 items.
The effective window was August 16–September 14, 2026. Ten items were collected from the six most recent days searched.
Daily calls were merged. Election can also match indirect entries in the Politics and elections category.
RELIABILITY
Trust through transparent boundaries
The Skill uses public endpoints without an API key, preserves source links, and clearly surfaces external-source status.
Public endpoints
No external API credentials are required.
Sources retained
Named sources and original links remain visible for direct review.
Independent failure
Wikipedia results can still return when GDELT produces HTTP 429 or times out.
Known limits
- Country filtering is a substring match. America can match both American and South America.
- Keyword matching covers titles, descriptions, topics, and categories, so election may include indirectly related entries.
- A past-month range requires daily runs, merging, and URL deduplication.
TARGET USERS
Built for teams that need concise, traceable context
Designed for current-event collection and organization—not opinion analysis, independent fact-checking conclusions, or investment advice.
Researchers
Analysts
Content teams
Investment research
Developers
GET STARTED
Start with a precise date and a focused question
Choose a specific date or the previous UTC day, add a country term or keyword, and set the maximum number of items. Review source status before using the linked entries.
Use world-events-briefing to generate yesterday’s global current events briefing with 5 items.