Shaping a strategy discussion
Provides a briefing on emerging market themes and the evidence behind their momentum. Gives strategy discussions a broader foundation than familiar headlines alone.
— Markets & Intelligence
Emerging Trend Scanner
Pulls live market signals across news, companies, investment, regulation and market activity, deduplicates the same story told twice, and clusters the rest into themes with the genuinely accelerating ones named.
- Markets & Intelligence
- Traceable reasoning
- Runs anywhere
1 week → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- Current news and market reporting
- Output
- Emerging trend briefing
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1 week per run
— USE CASES
What people use Emerging Trend Scanner for
Reviewing a sector outlook
Connects developments across companies, investment, regulation and market activity to reveal themes forming within a sector. Distinguishes accelerating patterns from established narratives.
Focusing research priorities
Highlights emerging themes that warrant closer investigation, with supporting signals grouped together. Reduces the risk of prioritising a story simply because it attracts repeated coverage.
Preparing a client briefing
Produces a concise account of what is emerging and why it matters. Gives advisers an evidence-led basis for discussing changes that may not yet be prominent in the wider market narrative.
What it works from
- Current news and market reporting
- Company announcements and activity
- Investment developments
- Regulatory developments and policy signals locales
What you get back
- Emerging trend briefing
- Grouped themes with supporting market signals
- Assessment of theme acceleration
- Distinction between emerging and established narratives
— HOW IT BEHAVES
How Emerging Trend Scanner produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Composed as work product
Findings on the market being watched are written up as a document that reads like professional output, with each claim tied back to a signal.
The same point counted once
Duplicate signals expressed in different wording are folded together, so the output reflects distinct issues rather than repetition.
Criteria-based analysis of every signal
Each signal is assessed against explicit criteria you control, so the same standard is applied across the market being watched on every run.
Grounded in your own live external signals and current research
The run works from live external signals and current research you supply, so conclusions about the market being watched are anchored to your evidence rather than general model knowledge.
Why this is expensive by hand
Market intelligence often contains repeated coverage of the same events, making familiar stories appear more significant while emerging themes remain hard to assess. In practice it shows up as shaping a strategy discussion: provides a briefing on emerging market themes and the evidence behind their momentum. Gives strategy discussions a broader foundation than familiar headlines alone. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 1 week of capacity for it.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is emerging trend briefing, with grouped themes with supporting market signals. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. Net effect: 1 week down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Who it's for
- Strategy and market intelligence teams
- Corporate development and investment teams
- Consultants advising on positioning and timing
- Leaders who need early warning, not hindsight
Run it in Skillsize — or export it anywhere
Emerging Trend Scanner exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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