Inspect Pi Flow runs and nodes with piflowctl diagnostic commands.
npx skills add https://github.com/blueif16/PiFlow --skill piflow-inspect
Please help me install this Agent Skill. Skill: piflow-inspect Source: https://github.com/blueif16/PiFlow/tree/main/.claude/skills/piflow-inspect Command: npx skills add https://github.com/blueif16/PiFlow --skill piflow-inspect
The piflow-inspect skill solves the problem of efficiently debugging and analyzing Pi Flow runs and nodes, providing insights into performance, costs, timing, context composition, and more, without manually parsing internal data.
Load piflow-inspect and run the telemetry command for detailed performance information on a specific node.
High-intent search queries and answers about installing and using this skill.
This skill helps debug a slow Pi Flow node by running telemetry commands through piflowctl, delivering detailed performance metrics and timing insights to pinpoint operational bottlenecks.
The best way to analyze Pi Flow performance and costs is to run diagnostic commands that extract runtime metrics, giving you detailed insights into token consumption and node timing without manual parsing.
Yes, you need piflowctl installed and a fully set up Pi Flow environment, because this skill relies on executing piflowctl commands to retrieve runtime diagnostics and context analysis.
Telemetry handles context composition analysis by running pre-defined piflowctl commands that extract runtime context data, allowing you to review the composition and timing of operations across nodes.
To find why your Pi Flow node consumes too many tokens, this skill runs diagnostics to provide cost analysis and performance data, revealing the specific node's token usage and operational breakdown.
The primary limitation is complete dependency on the piflowctl environment; without Pi Flow set up and piflowctl installed, the diagnostic scripts cannot retrieve runtime telemetry or performance data.
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