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Tencent SkillHub · Data Analysis

Us Macro News Monitor

Tracks US macro signals from Bloomberg, WSJ, and Reuters and maps potential spillover to Vietnam sectors; used when users ask about US macro news and likely...

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High Signal

Tracks US macro signals from Bloomberg, WSJ, and Reuters and maps potential spillover to Vietnam sectors; used when users ask about US macro news and likely...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, agents/openai.yaml

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.2

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

US Macro News Monitor (Web Workflow)

Use this skill for US macro monitoring that can indirectly impact Vietnamese equities.

Data sources

Primary media sources: Bloomberg: https://www.bloomberg.com/ WSJ: https://www.wsj.com/ Reuters Markets: https://www.reuters.com/markets/ Fallback (open/public macro sources): Federal Reserve (FOMC/calendar/speeches): https://www.federalreserve.gov/ BLS releases (CPI, jobs): https://www.bls.gov/ BEA releases (GDP, PCE): https://www.bea.gov/ FRED calendars/series metadata: https://fred.stlouisfed.org/

Tooling assumption

OpenClaw web fetch + Brave API available. No Python scripts needed for this skill.

Execution workflow (ordered)

Collect fresh headlines from primary sources. Replace blocked/paywalled coverage with fallback public sources. Classify items into macro themes. Tag each item with tone (risk-on, risk-off, neutral). Map transmission channels to Vietnam sectors and representative tickers. Run quality gate and confidence scoring. Produce required output sections with source links.

Theme taxonomy

Classify each item into these macro themes: inflation rates/yields growth/employment USD/FX oil/energy geopolitics/trade Summarization horizon: 24h changes 7d narrative drift

Data quality gate (required)

Run this gate before finalizing output: Freshness: include only items with explicit publish/update time; report window in ICT (UTC+7). Coverage: target >= 3 distinct sources; if < 3, downgrade confidence. De-duplication: remove near-duplicate headlines by normalized title + URL domain. Evidence tags: mark each claim as Fact or Inference. Missingness log: list blocked/paywalled sources and what fallback replaced them.

Shared confidence rubric (required)

Apply this common standard: High: >= 3 distinct sources, <= 24h freshness for core items, and no single-source dominance over 60%. Medium: 2 sources or partial freshness gaps, but core themes still cross-confirmed. Low: 1 source only, stale coverage, or major paywall blocks without reliable fallback. Always output confidence with: Source count and source list. Time window used (ICT UTC+7). Main uncertainty driver (paywall, missing source, stale timing, or weak cross-confirmation).

Output format (required)

Section 1: Top headlines with source URLs. Section 2: Theme counts and tone distribution. Section 3: Vietnam sector spillover map. Section 4: Actionable watchlist (what to monitor next).

Watchlist mode (optional)

If the user provides an ACTIVE_WATCHLIST (tickers), extend Sections 3–4: Add a Watchlist Impact Map that maps macro themes → transmission channel → each ticker. Provide monitoring triggers (what would confirm/negate the impact) and a confidence tag. Never output absolute buy/sell instructions; this skill produces signals and watch items.

Trigger examples

"What US macro news overnight could move VN stocks today?" "Summarize Fed/CPI signals and their impact on Vietnam sectors." "Map US rates and USD narrative to Vietnamese equities."

Quality rules

Clearly mark inferred impacts as inference. Respect paywalls: use only accessible metadata when full text is unavailable. Avoid over-claiming causality. If source coverage is below threshold, explicitly set confidence to Low.

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Config
  • SKILL.md Primary doc
  • agents/openai.yaml Config