debug
Investigation-first debugging — gather evidence, form confirmed root-cause hypothesis, hand off to fix mode with diagnosis file.…
Check opencode-rig install health and report exact remediation steps.
$ npx -y skills add Borda/AI-Rig --skill rig-doctor --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/rig-doctorContext preview
The summary Claude sees to decide when to auto-load this skill.
Check opencode-rig install health and report exact remediation steps.
name: Rig Doctor description: Check opencode-rig install health and report exact remediation steps.
Run `rig_doctor` and interpret the report. Doctor is read-only.
Use `action: "assets"` (CLI: `opencode-rig doctor --assets`) to curate the shipped cards: `rig.json` roster agreement, skill frontmatter and headings, relative reference links, duplicated prose, and oversized skill or role cards. Roster drift and dead links fail; duplication and size warn.
Report each line as pass, warn, or fail. For every failure, give the exact command or edit that fixes it:
Do not change files while diagnosing. Do not run paid checks.
Practical agent workflows for Python, ML, and open-source maintenance. AI-Rig turns recurring work—scoping a change, reproducing a bug, reviewing a pull request, running an experiment, or checking release readiness—into explicit workflows with specialist
Investigation-first debugging — gather evidence, form confirmed root-cause hypothesis, hand off to fix mode with diagnosis file.…
TDD-first feature development — crystallise API as a demo test, drive implementation to pass it, run quality stack and…
Reproduce-first bug resolution — capture bug in failing regression test, apply minimal fix, run quality stack and review loop.…
Analysis-only planning — classify and scope a task without writing code; outputs a structured plan to .plans/active/. TRIGGER…
Test-first refactoring — audit coverage, add characterization tests, apply changes with safety net, run quality stack and review…
Multi-agent code review of local Python files, directories, or the current git diff covering architecture, tests, performance,…