菜单
Use when interacting with GitHub Actions CI/CD automation. Covers workflow status, triggering, debugging, and configuration.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | gh-actions |
| description | Use when interacting with GitHub Actions CI/CD automation. Covers workflow status, triggering, debugging, and configuration. |
This skill covers interacting with GitHub Actions for this repository.
.github/workflows/train.yml and .github/workflows/ci.yml
| Job | Description |
|---|---|
lint | Runs ruff, black --check, flake8 |
test | Runs pytest tests/ after lint passes |
type-check | Runs mypy for type checking |
model-import-check | Verifies model and dataset modules |
push to mainpull_request targeting main# View latest workflow runs
gh run list --repo owner/tiny-cats-model
# View a specific run
gh run view <run-id>
# Watch a run in progress
gh run watch <run-id>
# View run logs
gh run view <run-id> --log
# Re-run failed jobs
gh run rerun <run-id> --failed
# Trigger workflow_dispatch
gh workflow run train.yml
# Trigger with inputs
gh workflow run train.yml -f epochs=20
# Add Modal token secrets
gh secret set MODAL_TOKEN_ID --body "your_token_id"
gh secret set MODAL_TOKEN_SECRET --body "your_token_secret"
# List secrets
gh secret list
Or via GitHub UI: Settings → Secrets and variables → Actions
| Issue | Fix |
|---|---|
| Lint fails | Run ruff check . --fix and black . locally |
| Tests fail | Run pytest tests/ -v locally |
| Import error | Check dependencies in requirements.txt |
| Timeout | Reduce epochs or use gpu-t4 in modal.yml |
When CI fails after push:
gh run listgh run view <run-id>@skill code-quality@skill testing-workflow@skill code-quality@skill gh-actionsSee plans/ADR-006-ci-fix-workflow.md for full workflow details.
Enhance session checkpoints with git context and diff summaries. Use after completing significant work to enrich checkpoint.md files with repository state, recent commits, and code change summaries. Triggers include "enhance checkpoint", "update checkpoint with git", "add git context to checkpoint", or when finishing a multi-file change session.
Use for model training, hyperparameter tuning, and Modal GPU training.
Use when invoking training, evaluation, and dataset preparation via CLI. Provides all standard commands for this project.
Multi-perspective code analysis using three AI personas (RYAN, FLASH, SOCRATES) for comprehensive decision-making. Use when complex code decisions need analysis from multiple viewpoints, or when avoiding single-perspective blind spots is critical.
Use for authentication management, token validation, and credential troubleshooting.
Use for secrets management, credentials handling, and security best practices.