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Agent-native workflow

Two skills, one dataset, different jobs

The skills page should make it obvious that one skill maintains the monthly pipeline while the other helps agents inspect and analyze the live dataset.

How developers actually use it

exploding-insights-sse

Use this skill when the goal is to refresh the source data, normalize the month, import D1, and redeploy the Worker.

exploding-insights-query

Use this skill when the goal is to query, compare, and analyze the live dataset that is already in D1.

Use exploding-insights-query to find the strongest March 2026 categories and the most repeated pain points.
Operations

exploding-insights-sse

Use this skill when the goal is to refresh the source data, normalize the month, import D1, and redeploy the Worker.

Best for monthly maintenance, re-imports, and pipeline ownership.
Touches raw exports, normalized artifacts, D1 import SQL, and Worker deployment.
Use when the question is operational: sync, import, deploy, or refresh.
Use exploding-insights-sse to sync the latest month into D1 and redeploy the dataset endpoints.
Analysis

exploding-insights-query

Use this skill when the goal is to query, compare, and analyze the live dataset that is already in D1.

Best for category research, pain-point analysis, and gig inspection.
Starts from /api/agent/bootstrap, /api/agent/query/months, /api/agent/query/stats, and /api/agent/query/category-rollups.
Use when the question is analytical: what is working, what keeps repeating, and where demand is strongest.
Use exploding-insights-query to find the strongest March 2026 categories and the most repeated pain points.

Open the repo where AGENTS.md is present

The repository already exposes the skills through AGENTS.md, so agent-compatible tools can discover them in the project context.

Call the skill by name or natural language

Users can mention the skill explicitly or ask for the outcome they want, and the agent can route to the correct skill.

Use the protected agent API on top of the live D1 dataset

Both skills ultimately rely on the same monthly dataset, but external agent traffic should come through the authenticated /api/agent/query and /api/agent/sse routes.

Example prompts

These prompts are good enough to show on the page because they make the job of each skill concrete.

Use exploding-insights-query to rank the top March 2026 categories by average revenue and show the top 10.
Use exploding-insights-query to cluster repeated pain points related to AI consulting and summarize what buyers keep asking for.
Use exploding-insights-sse to refresh the monthly dataset, import it into D1, and redeploy the Worker.

What this page should clarify

Without this page, people understand the data exists but not how they should use it.

The sync skill is for maintaining the pipeline.

The query skill is for using the dataset after it is already live.

The API page and skills page should link to each other because technical users often need both.

Open the API page