trend-spotter
SkillAI & modelsResearch emerging trends in a market or technology space. Returns signal vs noise breakdown with evidence. Use when the user asks what's changing in a market, what trends to watch, or what's coming next.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the trend-spotter skill
What this skill tells your AI
The instructions your AI receives, as published by hamzafarooq/multi-agent-course in .claude/skills/trend-spotter/SKILL.md and read by ahel’s review.
Ask the user: "What market or technology space do you want to scan? Any specific angle (e.g. enterprise adoption, pricing models, new entrants)?"
Then research and return:
Trend Report: [Space]
Strong Signals (high confidence, already moving)
3–4 trends with evidence: funding rounds, product launches, job posting spikes, pricing shifts. One paragraph each.
Weak Signals (early, worth watching)
2–3 things that are nascent but directional. Explain what would need to be true for each to become a strong signal.
Noise (talked about more than it matters)
1–2 things getting hype that are unlikely to materially change the market in the next 18 months. Say why.
Implication for a PM
Two sentences on what a product team should do differently based on these trends.
Cite specific evidence for every strong signal (company names, dates, data points). Avoid vague statements like "AI is changing everything."
Signals
- GitHub stars
- 84
- Forks
- 70
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
trend-spotter-2- Source
- github.com/hamzafarooq/multi-agent-course