Diagnose software issues by aggregating evidence from GitHub issues, pull requests, and commit history.
npx skills add https://github.com/rotnov/pycc --skill i-have-an-issue
Please help me install this Agent Skill. Skill: i-have-an-issue Source: https://github.com/rotnov/pycc/tree/main/.agents/skills/i-have-an-issue Command: npx skills add https://github.com/rotnov/pycc --skill i-have-an-issue
This skill addresses the uncertainty of debugging complex software issues by providing a structured methodology to gather evidence from the project's history and the broader open-source ecosystem.
Use the i-have-an-issue skill to research the history of the current compiler error by searching through the repository issues and pull requests.
High-intent search queries and answers about installing and using this skill.
Root cause analysis for software bugs involves systematically aggregating evidence from upstream GitHub issues, pull requests, and commit history to identify if a problem is a known regression or recurring design challenge. This approach reveals prior failures and existing workarounds.
Researching a cryptic compiler error requires cross-referencing the error message against existing GitHub issues and pull requests in the repository. This open source evidence gathering determines if a fix is already in progress or if a documented workaround exists.
To check if a software bug is a known regression, search through the project's version control metadata and issue tracking systems. Reviewing historical commit history and prior bug triaging discussions confirms whether the failure has been previously reported.
Yes, you can identify compatibility traps and rejected approaches by performing preventive analysis on a repository. Reviewing prior discussions, project documentation, and pull request history highlights constraints and historical technical debt to avoid problematic implementations.
Gathering evidence for software maintenance and bug triaging involves systematically searching upstream repositories and comparable open source projects. Synthesizing version control metadata and issue tracking data provides structured preventive checks against historical failures.
Yes, access to version control metadata and issue tracking systems is required to perform root cause analysis. This access allows the systematic aggregation of upstream evidence needed to synthesize prior failures and identify historical technical debt.
rotnovGenerate changelog entries from commits and pull requests following Keep a Changelog.
cc-clawsCreates structured Markdown issue documents from guided user interviews.
TbK0ngDiagnose bug root causes and generate structured prevention analyses.
robertzengcnMonitor live web applications for console errors, performance regressions, and page failures after deployment.
