·traqo-tracing
</>

traqo-tracing

✓
cecuro/traqoGitHub: cecuro/traqoSource: cecuro/traqo

Read, analyze, and visualize traqo JSONL traces for application observability. Use when: (1) reading or debugging .jsonl/.jsonl.gz trace files, (2) investigating token usage or costs, (3) analyzing pipeline execution flow or errors, (4) adding tracing instrumentation to Python code, (5) querying trace data with shell commands, (6) launching the trace viewer UI. Triggers on phrases like "read the trace", "what happened in the pipeline", "token usage", "why did it fail", "add tracing", "trace this function", "check the logs", "show me the traces", "open the dashboard", "visualize the run".

cecuro·traqo·tracing
10Installs·0Trend·@cecuro

Installation

GitHub: cecuro/traqo
$npx skills add https://github.com/cecuro/traqo --skill traqo-tracing

How to Install traqo-tracing

Quickly install traqo-tracing AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/cecuro/traqo --skill traqo-tracing
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: cecuro/traqo.

SKILL.md

View raw

Traces are stored as compressed .jsonl.gz files, optionally with a .content.jsonl.zst sidecar for externalized large span inputs. The raw .jsonl buffer is deleted after compression. Last line is always traceend with summary stats. Start there.

For compressed traces, large spanstart inputs (>10 KB) are replaced with {"ref": " ", "size": N} stubs. The full input lives in the companion .content.jsonl.zst file. If you see a ref stub, use traqo ui (loads on click) or the Python readcontent() API to retrieve the original input.

| tracestart | tracerversion, input, metadata, tags, threadid | | spanstart | id, parentid, name, input, metadata, tags, kind | | spanend | id, parentid, name, durations, status, output, metadata, tags, kind | | event | name, data (arbitrary dict) | | traceend | durations, output, stats, children |

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/cecuro/traqo --skill traqo-tracing
Source
cecuro/traqo
Category
</>Dev Tools
Verified
✓
First Seen
2026-03-10
Updated
2026-03-11
URL
https://www.learn-skills.dev/en/skills/cecuro/traqo/traqo-tracing

Browse more skills from cecuro/traqo

Quick answers

What is traqo-tracing?

Read, analyze, and visualize traqo JSONL traces for application observability. Use when: (1) reading or debugging .jsonl/.jsonl.gz trace files, (2) investigating token usage or costs, (3) analyzing pipeline execution flow or errors, (4) adding tracing instrumentation to Python code, (5) querying trace data with shell commands, (6) launching the trace viewer UI. Triggers on phrases like "read the trace", "what happened in the pipeline", "token usage", "why did it fail", "add tracing", "trace this function", "check the logs", "show me the traces", "open the dashboard", "visualize the run". Source: cecuro/traqo.

How do I install traqo-tracing?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/cecuro/traqo --skill traqo-tracing Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/cecuro/traqo

Details

Category
</>Dev Tools
Source
skills.sh
First Seen
2026-03-10

Related Skills

None