Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tracks Vietnam market and sector narratives from major domestic financial media; used when users ask for market stories, sector heat, and most-mentioned Viet...
Tracks Vietnam market and sector narratives from major domestic financial media; used when users ask for market stories, sector heat, and most-mentioned Viet...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Use this skill to monitor domestic Vietnam market narratives by sector and ticker mentions.
CafeF: https://cafef.vn/ VnEconomy: https://vneconomy.vn/ VietnamFinance: https://vietnamfinance.vn/ Vietstock: https://vietstock.vn/
OpenClaw web fetch + Brave API available. No Python scripts needed for this skill.
Fetch latest headlines from all four sources. Tag headlines by sector and potential ticker mentions. Count mention intensity by sector. Compare with previous snapshot (if available) to detect narrative acceleration/deceleration. Highlight possible misinformation/noise risk areas.
Run this gate before final output: Freshness: include collection window in ICT (UTC+7) and last-update timestamp per source. Coverage: target >= 3 domestic sources; if < 3, set confidence to Low. De-duplication: cluster duplicate headlines by normalized title + publisher domain. Evidence tags: mark each major claim as Fact (headline/text) or Inference (market implication). Bias check: flag concentration if one source contributes > 50% of collected items.
Apply this common standard: High: >= 3 active sources, fresh window (24h/7d explicitly stated), and low concentration bias. Medium: 2 sources or moderate concentration bias, but sector/ticker narratives are still cross-validated. Low: < 2 sources, stale window, or highly concentrated/noisy coverage with weak confirmation. Always output confidence with: Source coverage table. Freshness window (ICT UTC+7). Major noise/bias factor that may distort narrative ranking.
Section 1: Source coverage and freshness. Section 2: Top sectors by media intensity. Section 3: Most-mentioned tickers. Section 4: Narrative shift vs previous period. Section 5: Risks and validation checklist before investment action.
If the user provides an ACTIVE_WATCHLIST (tickers), add an extra section: Watchlist Impact Map: for each ticker, list relevant headlines (with links), label Fact vs Inference, and provide 1–2 monitoring triggers. Do not issue buy/sell commands; this skill is for signal monitoring only.
"What are the hottest Vietnam market narratives today?" "Which sectors and tickers are mentioned most in Vietnamese financial media?" "Compare this week's market narrative vs last week."
Headlines are signals, not direct trading decisions. Always recommend cross-checking with vnstock quantitative metrics. Provide source links for every major statement. If source coverage is weak or stale, explicitly downgrade confidence.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.