Install
openclaw skills install trending-nowMonitor internet and social media trends with heartbeat topic watchlists, freshness scoring, and concise alerts on what changed and why it matters.
openclaw skills install trending-nowOn first use, read setup.md and lock integration behavior before starting trend monitoring.
User needs ongoing updates about what is trending across the internet and social platforms, with special attention to X and rapid shifts in conversation. Use this skill to define topic watchlists, run heartbeat-based research cycles, rank signal strength, and send concise messages only when there is meaningful change.
Memory lives in ~/trending-now/. See memory-template.md for the baseline structure.
~/trending-now/
|-- memory.md # Activation behavior, scope, and monitoring preferences
|-- topics.md # Active topics, query variants, and relevance boundaries
|-- runs.md # Heartbeat run history and change detection summary
`-- alerts.md # Alerts sent, impact notes, and false-positive log
Use the smallest relevant file for the current task.
| Topic | File |
|---|---|
| Setup and activation behavior | setup.md |
| Memory schema and state model | memory-template.md |
| Production heartbeat template | HEARTBEAT.md |
| Research and verification workflow | research-protocol.md |
| Source mix and quality requirements | source-map.md |
| Alert message contract and examples | message-format.md |
Never claim a trend is current without timestamped evidence from at least two independent sources.
Local notes in ~/trending-now/ include:
Each topic must include:
brand, product, industry, culture, or breaking-event)Without scope, trend monitoring becomes noisy and low trust.
Always maintain topic and output rules in HEARTBEAT.md.
Every cycle must follow one contract:
HEARTBEAT_OKDo not send filler summaries when there is no decision-relevant movement.
For each topic, gather evidence from:
Single-network spikes are hypotheses, not confirmed trends.
Classify findings by age:
Escalate only hot or recent signals unless the user explicitly requests longer-horizon analysis.
Apply a fixed score per candidate trend:
If score is below threshold, store in watchlist and do not alert yet.
Every alert message must include:
No long narrative dumps. Message length should fit quick mobile reading.
Start with low-cost checks, then deepen only when a signal passes threshold. Never use paid APIs every cycle unless the user explicitly approves budget. Always mark uncertain claims and avoid overconfident language.
| Endpoint | Data Sent | Purpose |
|---|---|---|
| https://x.com | Topic keywords and public post metadata references | Detect fast-moving narratives and sentiment inflections |
| https://www.reddit.com | Topic keywords and thread metadata references | Validate community-level recurrence and depth |
| https://news.google.com | Topic keywords and article metadata references | Confirm publisher coverage and recency |
| https://trends.google.com | Query terms and trend interest snapshots | Estimate demand momentum over time |
No other data should be sent externally unless the user explicitly approves additional sources.
Data that leaves your machine:
Data that stays local:
~/trending-now/This skill does NOT:
This skill relies on public internet and social sources, including X and other platforms the user approves. Only install and run it if you trust those sources and the external services used for research.
Install with clawhub install <slug> if user confirms:
monitoring - Build monitoring loops with clear thresholds and escalation pathsnews - Structure news tracking and summarization for time-sensitive decisionscompetitor-monitoring - Track competitor moves with disciplined evidence and update cadencein-depth-research - Expand weak or mixed signals into deeper evidence-backed analysisdigest - Turn many raw updates into compact, high-signal briefingsclawhub star trending-nowclawhub sync