Analysis updated 2026-05-18
Install the skill folder into an AI assistant to structure bug triage conversations.
Copy the portable prompt into an assistant without native skill support to triage a bug report.
Study the fact and assumption ledger format as a template for your own AI workflows.
| robertionutf/codecurrent-studio-sample | 00kaku/gallery-slider-block | 04amanrajj/netwatch | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | — | JavaScript | Rust |
| Last pushed | — | 2021-05-19 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | easy | easy | moderate |
| Complexity | 1/5 | 2/5 | 3/5 |
| Audience | developer | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
CodeCurrent Studio Public Workflow Sample is a repository that shows one limited example of a bug triage process built for AI coding assistants like Claude and Codex. Instead of trying to fix a bug directly, it walks through a careful method: it separates what is known for certain from what is assumed and what is only a guess, lays out a minimal plan to reproduce the issue, and points to the next diagnostic step that would narrow things down. The end result is a triage report a person can review, not a patch. The repository is explicit about its limits. It does not inspect an actual codebase, run tests, find a root cause, or attempt a repair when the evidence needed for that is missing. This is meant as a demonstration of style, not a working bug fixer on its own. There are two ways to try the sample. If your AI assistant supports filesystem based skills, you can install the skills/cc-sample-triage-bug folder, which follows a common shape with a SKILL.md file at its root. If your assistant does not support that, you can instead copy the text from portable-prompts/cc-sample-triage-bug.md into a new conversation and add your own bug report below it. An example bug report and its expected response are included in the examples folder, showing what a bounded triage output looks like rather than an invented fix. This sample is a small piece of a larger paid product called CodeCurrent Complete, which the README says covers specification, bug repair, release readiness, and client handoff across 30 skills, worked examples, templates, and installation guidance. CodeCurrent Studio states it is an independent company and is not affiliated with or endorsed by OpenAI, Anthropic, Google, Microsoft, or any other AI vendor. On the safety side, the repository contains only markdown instructions: no scripts, network calls, installers, credentials, or automatic destructive actions. The sample instructs the assistant to respect existing permissions and to ask for authorization before taking any consequential action. The sample files are released under the MIT License, while the paid CodeCurrent products use a separate single user commercial license.
A sample bug triage workflow for AI coding assistants that separates facts from assumptions and produces a reviewable report instead of an automatic fix.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.