Check the Signal Graph for topic, signal, and adjacent data availability.
npx skills add https://github.com/wattdata/plugin --skill help-discover
Please help me install this Agent Skill. Skill: help-discover Source: https://github.com/wattdata/plugin/tree/main/skills/help-discover Command: npx skills add https://github.com/wattdata/plugin --skill help-discover
This Skill answers the question “does Watt have data on this?” by checking the Signal Graph and returning a plain, honest result instead of guessing.
Ask the skill to check whether Watt has data for your topic and return the closest honest match if no exact signal is found.
High-intent search queries and answers about installing and using this skill.
A live probe checks the Signal Graph for your topic by synthesizing read-only candidates and returning an honest yes-or-no result with supporting evidence. It surfaces matching signals with size and freshness context, or reports closest related matches.
When data discovery finds no exact match, honest fallback handling reports the gap clearly and points to the closest related signal or next step. This prevents guessing and ensures you know exactly what adjacent data exists in the graph.
Yes, checking data availability in the Signal Graph requires a remote Watt MCP probe to perform live discovery. The probe synthesizes candidate matches and operates in read-only mode to return honest results without modifying the graph.
The best way to verify adjacent concepts is running a live data discovery probe on the Signal Graph. It checks for topics, signals, and adjacent angles, then returns the strongest matching evidence with size and freshness context in a concise summary.
Yes, read-only data discovery confirms graph freshness and signal size by probing the Signal Graph and surfacing the strongest matching signals. This live check provides concise evidence summaries so you can validate data suitability before analysis.
A data discovery probe returns closest matches because honest fallback handling points to related signals when no tight match exists. This ensures you receive actionable adjacent data rather than a dead end when exact signal candidates are absent.
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