Turning signals into decisions
Convert external movement into specific internal implications leadership can act on.
— Markets & Intelligence
Classifies market signals and translates each into concrete business implications for planning, hiring or capability decisions.
1–2 hours → ~5 minutes
For one document, brief or record at a time
No coding required
— USE CASES
Convert external movement into specific internal implications leadership can act on.
Classify signals by impact so attention goes to the ones that change the plan.
Feed a structured impact assessment into workforce or strategy planning.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Signals are sorted into your categories using the same rules each time, which is what makes a large volume of live external signals and current research readable.
Market activity around the market being watched is pulled in as it stands today, so the analysis reflects the current picture rather than a model's memory.
Content is restructured into the form your deliverable or downstream system expects, with each signal kept intact.
Signals impact assessment is routine in name only: the inputs are messy, the standard is unwritten, and two people rarely reach the same answer. Turning signals into decisions is the typical trigger — convert external movement into specific internal implications leadership can act on. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 hours of experienced attention.
Here the same job runs as a Skill. Your material goes in; signals classified by type and impact comes out, alongside named business implications per group. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. Net effect: 1–2 hours down to ~5 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Signals impact assessment 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.
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.
Keeps a standing watch on leadership changes, restructures, acquisitions, funding and regulation, and when a trigger fires it matches the event to the service it creates demand for and emails the play.
Cross-reads live market signals and fresh research against a value creation plan to surface the pricing, expansion, product, partnership and operational moves the outside world has just made possible.
Reconciles live market signals for a product, service or category against fresh external research to rule on whether demand is strengthening, softening or shifting elsewhere.
Tests each assumption behind an investment thesis against live market signals and current research, ruling every one strengthened, weakened, unchanged or invalidated with the evidence attached.
Groups and summarises the market signals flowing into Skillsize into a focused, filtered digest for a chosen audience.