regular-web-daily-brief

name	regular_web_daily_brief
description	Regular Daily News sync: create/refresh the `# Daily News` header in today’s Daily Brief from deterministic `web_sources.py` output.

Web Daily Brief

What it does

• Uses web_sources.py as the only allowed data source for the Daily News block.
• Reads deterministic source payloads for:
  • ECMWF (IFS) weather (Prague + Hradec Králové) for today at fixed times
  • Anticipated / recap source feeds already fetched by web_sources.py
  • Markets (S&P 500, NASDAQ-100, DAX, Russell 2000)
• Writes the results as a readable # Daily News section into today’s Daily Brief:
  • 10_DailyBriefs/YYYY/MM/YYYY-MM-DD_Daily_Brief.md
• Preserves the rest of the file (especially # Tasks, which is owned by the Todoist sync).

Hard rule

• The agent must not do any ad-hoc web research when running this skill.
• The agent must only run 90_System/Skills/Web_Daily_Brief/web_sources.py fetch ..., inspect that JSON output, and use it to construct the # Daily News block.
• If required data is missing from web_sources.py output, report the gap instead of browsing manually.

Canonical path + ownership

• Daily Brief path: 10_DailyBriefs/YYYY/MM/YYYY-MM-DD_Daily_Brief.md
• This skill owns only the # Daily News section.
• 90_System/Skills/daily_brief_todoist/ owns # Tasks.
• .agents/skills/regular_day_start/SKILL.md is the preferred morning wrapper when you want the full Daily Brief + Meetings flow.

Output rules

• Timezone for “today / yesterday”: Europe/Prague (use explicit dates in the text)
• Keep it scannable:
  • Tables for weather + markets
  • Short bullets for events (1–2 sentences each)
  • Add 1–2 sources per item (markdown links)
• Replace only the # Daily News section if it exists; otherwise insert it above # Tasks.
• Sections to include (in this order):
  • Weather (ECMWF IFS): Prague + Hradec Králové (07:00/10:00/13:00/16:00/19:00/22:00)
  • Anticipated today (CZ): top 3
  • Anticipated today (World): top 3
  • Yesterday (CZ): top 3
  • Yesterday (World): top 3
  • Yesterday (AI): top 3
  • Trending yesterday (Czechia): top 5
  • Trending yesterday (World): top 5
  • Markets (last close): S&P 500, NASDAQ-100, DAX, Russell 2000

Deterministic sources

Fetch “raw” inputs from fixed endpoints, then write the brief from those results:

• Fetch sources (JSON to stdout):
  • .\.venv\Scripts\python.exe 90_System\Skills\Web_Daily_Brief\web_sources.py fetch --pretty
• Save the fetched JSON to an intermediate file:
  • .\.venv\Scripts\python.exe 90_System\Skills\Web_Daily_Brief\web_sources.py fetch --pretty > 70_Exports\sources.json
• What you get back (high level):
  • ecmwf_open_data_sample (ECMWF Open Data, GRIB2 metadata + file path; decoding is separate)
  • open_meteo_ecmwf_weather (structured ECMWF IFS weather rows for Prague + Hradec Králové at 07:00/10:00/13:00/16:00/19:00/22:00)
  • stooq_market_snapshot (structured S&P 500, NASDAQ-100, DAX, Russell 2000 close + previous close + % change + as-of date)
  • google_news_rss_cz + google_news_rss_world_proxy_us (RSS items: title/link/pubDate)
  • wikipedia_featured_news_cs + wikipedia_featured_news_en (Wikimedia “featured” feed news array; sometimes empty)
  • wikipedia_current_events_en_wikitext_yesterday (Wikipedia “Portal:Current events/” wikitext via MediaWiki API)
  • pytrends_top5_yesterday_cz + pytrends_top5_yesterday_world_proxy_us (Top 5; can break if Google changes endpoints)
  • pytrends_trending_searches_united_states + pytrends_trending_searches_japan (examples of pytrends.trending_searches(pn=...); “trending now”, not “yesterday”)
  • google_trends_dailytrends_yesterday_cz + google_trends_dailytrends_yesterday_world_proxy_us (Top 5 via Google Trends dailytrends endpoint; unofficial, may 404)
  • google_trends_daily_rss_cz + google_trends_daily_rss_world_proxy_us (Top 5 via Google Trends daily RSS; unofficial but often the most reliable “trending” input)

Weather (ECMWF)

• Source recommendation (ECMWF model via Open‑Meteo):
  • Use Open‑Meteo forecast with models=ecmwf_ifs
  • Read temperature_2m and precipitation_probability
  • Time points (today): 07:00, 10:00, 13:00, 16:00, 19:00, 22:00 (local time)
• Locations (fixed):
  • Prague: 50.0755, 14.4378
  • Hradec Králové: 50.2092, 15.8328
• Direct API URLs (fast path)
  • Prague (ECMWF IFS, hourly temp + precip prob, Europe/Prague):
    • https://api.open-meteo.com/v1/forecast?latitude=50.0755&longitude=14.4378&hourly=temperature_2m,precipitation_probability&timezone=Europe%2FPrague&models=ecmwf_ifs&forecast_days=1
  • Hradec Králové (ECMWF IFS, hourly temp + precip prob, Europe/Prague):
    • https://api.open-meteo.com/v1/forecast?latitude=50.2092&longitude=15.8328&hourly=temperature_2m,precipitation_probability&timezone=Europe%2FPrague&models=ecmwf_ifs&forecast_days=1
• Extraction shortcut
  • In the returned JSON, use hourly.time[] to find today’s 07:00, 10:00, 13:00, 16:00, 19:00, 22:00 entries, then pull the aligned values from:
    • hourly.temperature_2m[]
    • hourly.precipitation_probability[]

Markets

• Indices:
  • S&P 500
  • NASDAQ-100
  • DAX
  • Russell 2000
• Output:
  • Last close and % change vs previous close
  • “As of” date (last trading day for that index)
• Fast sources (pick 1 and be consistent)
  • Stooq quote pages (easy last close + % change; verify “as of” date):
    • S&P 500: https://stooq.com/q/?s=^spx
    • NASDAQ-100: https://stooq.com/q/?s=^ndx
    • DAX: https://stooq.com/q/?s=^dax
    • Russell 2000: https://stooq.com/q/?s=^rut
  • If Stooq is unavailable, use a major finance source (e.g., exchange/operator pages or widely used market data sites) and compute % chg = (close/prev_close - 1) * 100 if needed.

Construction rule

• Use only the fetched JSON from web_sources.py.
• Do not open search engines, browse news sites manually, or add extra sources outside the JSON payload.
• When a source payload is ok: false, omit or clearly label that subsection instead of researching manually.

Commands (Windows)

This skill is “agent-driven” in the sense that the agent summarizes deterministic JSON and writes markdown. It is not a free-form browsing task.

• Fetch deterministic sources:
  • .\.venv\Scripts\python.exe 90_System\Skills\Web_Daily_Brief\web_sources.py fetch --pretty > 70_Exports\sources.json
• Construct 70_Exports\daily_news.md only from that JSON output:
  • .\.venv\Scripts\python.exe 90_System\Skills\Web_Daily_Brief\web_daily_brief.py render --sources-file 70_Exports\sources.json --output-file 70_Exports\daily_news.md
• Apply a prepared # Daily News block from a file:
  • .\.venv\Scripts\python.exe 90_System\Skills\Web_Daily_Brief\web_daily_brief.py apply --content-file 70_Exports\daily_news.md
• Dry run:
  • .\.venv\Scripts\python.exe 90_System\Skills\Web_Daily_Brief\web_daily_brief.py apply --content-file 70_Exports\daily_news.md --dry-run

Daily News template (copy/paste)

Use this structure.

# Daily News
- Updated: YYYY-MM-DDTHH:mm (Europe/Prague)
- Coverage: weather (ECMWF), events (CZ+World), yesterday (CZ+World+AI), trends (CZ+World), markets

## Weather (ECMWF IFS)

### Prague
| Time | Temp (°C) | Precip prob (%) |
|---:|---:|---:|
| 07:00 |  |  |
| 10:00 |  |  |
| 13:00 |  |  |
| 16:00 |  |  |
| 19:00 |  |  |
| 22:00 |  |  |
Source: [Open‑Meteo (ECMWF IFS)](https://open-meteo.com/)

### Hradec Králové
| Time | Temp (°C) | Precip prob (%) |
|---:|---:|---:|
| 07:00 |  |  |
| 10:00 |  |  |
| 13:00 |  |  |
| 16:00 |  |  |
| 19:00 |  |  |
| 22:00 |  |  |
Source: [Open‑Meteo (ECMWF IFS)](https://open-meteo.com/)

## Anticipated today (CZ) — YYYY-MM-DD
- **Event** — short context. ([source](https://example.com))
- **Event** — short context. ([source](https://example.com))
- **Event** — short context. ([source](https://example.com))

## Anticipated today (World) — YYYY-MM-DD
- **Event** — short context. ([source](https://example.com))
- **Event** — short context. ([source](https://example.com))
- **Event** — short context. ([source](https://example.com))

## Yesterday (CZ) — YYYY-MM-DD
- **Event** — short context. ([source](https://example.com))
- **Event** — short context. ([]())
  — short context. ([]())


  — short context. ([]())
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  — short context. ([]())
  — short context. ([]())
  — short context. ([]())


  — (optional context). ([]())
  — (optional context). ([]())
  — (optional context). ([]())
  — (optional context). ([]())
  — (optional context). ([]())


  — (optional context). ([]())
  — (optional context). ([]())
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  — (optional context). ([]())
  — (optional context). ([]())


| Index | Close | % chg | As of |
|---|---:|---:|---|
| S&P 500 |  |  | YYYY-MM-DD |
| NASDAQ-100 |  |  | YYYY-MM-DD |
| DAX |  |  | YYYY-MM-DD |
| Russell 2000 |  |  | YYYY-MM-DD |
Sources: link the pages you used.