influxdb-java: Fast Java Client for InfluxDB Integration
From the repo · “Java client for InfluxDB”
InfluxDB Java client allows startup founders to write and query time-series data from their Java applications to InfluxDB for monitoring and analytics purposes.
- •When building IoT applications that require storing and analyzing large amounts of time-stamped data.
- •When creating monitoring and logging systems for applications that require high-performance and scalable data storage.
- •When integrating InfluxDB with existing Java-based systems for data analysis and visualization.
Point point = Point.measurement("temperature") .time(1489233600000000L, TimeUnit.NANOSECONDS) .addField("value", 33.3); influxDB.write(point);Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/influxdb-java && curl -fsSL https://workflowstacks.com/api/skills/influxdb-java/claude-skill -o ~/.claude/skills/influxdb-java/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Influxdb-java: Fast Java Client for InfluxDB Integration is a medium Java project (~7.7k lines across 96 code files, plus 33 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit 8 months ago, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2src/main/java/org/influxdb/BatchOptions.javaInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/influxdb-java && curl -fsSL https://workflowstacks.com/api/skills/influxdb-java/claude-skill -o ~/.claude/skills/influxdb-java/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Outcome guideAutomate your weekly client reports
Keep each client’s metrics in a Google Sheet. Every Monday the workflow reads the week’s numbers, writes a plain-English narrative — what moved, why, and what’s next — and emails it to the client.
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The workflow reads your performance metrics and writes the narrative for you — this week at a glance, what moved and why, what’s next — then sends it on schedule.
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