Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat.
# Add to your Claude Code skills
git clone https://github.com/AIScientists-Dev/FlowtraceLast scanned: 6/7/2026
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}Flowtrace is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by AIScientists-Dev. Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat. It has 483 GitHub stars.
Yes. Flowtrace passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/AIScientists-Dev/Flowtrace" and add it to your Claude Code skills directory (see the Installation section above).
Flowtrace is primarily written in TypeScript. It is open-source under AIScientists-Dev on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Flowtrace against similar tools.
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Run your agent's work as steps you can follow, check, and reuse, instead of a stream of text that buries you and then disappears.
Works with the agent you already use: Claude Code, Codex, Cursor.
What it does · Get started · Examples · Docs
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⭐ If Flowtrace looks useful, star it (button's top-right) — it's how we decide what to keep building in the open.
Real work with an agent happens as a stream of text. You run a skill and it does the whole task in one pass, or you go back and forth in a chat that keeps growing. Either way it piles up faster than you can follow, and once it is done you are left with a wall of messages.
For a quick question that is fine. For a buy or sell call, a due diligence memo, a security gate, anything you would actually need to verify or run again, it is a problem:
Flowtrace runs that same work as a trace: a flow of steps the agent moves through one at a time, each leaving its output on disk. Here is one, a buy or sell decision that ends in a fixed-format, citable PDF:
Same skills, same agent. Running that work as a trace is what changes:
Transparent. The work is a flow of steps you take in at a glance, not a thread you scroll. Each step's output is a file you open, so the intermediate work is right there instead of buried in messages.
Grounded. Every result points back to the files it came from, so you verify instead of trust.
Steerable. Fix one step and only what depends on it re-runs. The rest stays put.
Traceable. The whole run is files and git, so it does not vanish when you close the tab. Stop and resume anytime, hand it to a teammate, read the full history.
Reusable. A finished task becomes a trace you run again on new input. The method is reused, not rebuilt.
Evolving. The trace gets better the more it runs. When a step misses its bar, the next version switches to a method that clears it, and the version that passes is the one that sticks.
Structured reading. A trace exposes the work as a graph of files, not a linear transcript. The agent reads it by structure and on demand, loading a step's contract, inputs, and outputs only while working on it and following explicit dependencies rather than carrying the whole history. This bounds working context, reduces drift, and yields a representation people and agents can both inspect and extend.
You do not start from scratch. A skill, a long session, a plan, a finished run: run any of them as a trace and you get the same steps you can follow, check, and run again. Open any one to read it full size.
Not every task needs this. A quick one off, just chat. Flowtrace earns its place when the result matters enough to verify, or when you will run the task again.
The fast path is to hand the repo to an agent. Point a coding agent (Claude Code, Codex, Cursor) at this folder and say:
"Install Flowtrace and run the tailored-resume example."
It installs the CLI, builds a real trace at ~/traces/tailored-resume/, and opens the web view at http://localhost:3000, where the flow lights up step by step.
Two ways to get a trace:
Try a reference. Each example ships as a builder that creates a real trace folder and walks one full run.
bash scripts/examples/tailored-resume/build.sh # → ~/traces/tailored-resume/
flowtrace serve # → http://localhost:3000
Make your own. The make-trace skill turns any source (a SKILL.md, a runbook, a chat log, a finished task) into a trace. Copy skills/make-trace/ into the agent's skills directory and run /make-trace.
A run is steerable: stop at any step, change it, and the steps that depend on it re-run while the rest stay put.
git clone https://github.com/AIScientists-Dev/flowtrace.git
cd flowtrace
./scripts/install.sh # builds + symlinks flowtrace to ~/.local/bin/
Update with git pull && ./scripts/install.sh. Override the symlink target with INSTALL_DIR=…. Building from source or contributing? See CONTRIBUTING.md.
Nine examples built from popular open-source skills, spanning different domains. Open any one for its flow and a one-command demo in the examples gallery:
Plus six more: