원클릭으로
pipeline
Invoke and resume YAML-defined pipelines by name — /pipeline auto-dev runs the full release pipeline
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Invoke and resume YAML-defined pipelines by name — /pipeline auto-dev runs the full release pipeline
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | pipeline |
| description | Invoke and resume YAML-defined pipelines by name — /pipeline auto-dev runs the full release pipeline |
| scope | harness |
| user-invocable | true |
| effort | high |
| argument-hint | <pipeline-name> | resume | (no args to list available) |
| source | {"type":"external","origin":"github","url":"https://github.com/baekenough/baekenough-skills","version":"1.0.0"} |
/pipeline auto-dev # Run the auto-dev pipeline
/pipeline # List available pipelines
/pipeline resume # Resume a halted pipeline
Execute these steps to display available pipelines:
Glob("workflows/*.yaml") (NOT templates/) to find all pipeline definitionsBash to extract name and description:
for f in workflows/*.yaml; do
name=$(grep -m1 '^name:' "$f" | sed 's/^name: *//' | tr -d '"')
desc=$(grep -m1 '^description:' "$f" | sed 's/^description: *//' | tr -d '"')
echo " $name — $desc"
done
Glob("templates/workflows/*.yaml") for template examplesAvailable pipelines:
{name} — {description}
{name} — {description}
Template pipelines (in templates/workflows/):
{name} — {description}
{filename} — (parse error, skipped)workflows/{name}.yamlname, description, steps[]skill: or prompt: (not both).codex/skills/^[a-z0-9-]+$ (kebab-case only) — reject path traversal attempts[Pipeline] Starting {name} — {step_count} stepsskill: name): Invoke via Skill tool — Skill(skill: "{name}")prompt: text): Execute the described action using appropriate agents/toolsforeach: collection): Iterate over collection from previous step outputmode: "bypassPermissions" in the Agent tool call if the session uses bypassPermissions. Without explicit mode, CC defaults to acceptEdits./tmp/.codex-pipeline-*-{PPID}.json for state filesTrack per-step state:
{
"pipeline": "{name}",
"started": "ISO-8601",
"status": "running|completed|halted",
"current_step": 0,
"steps": [
{"name": "triage", "status": "completed", "duration_ms": 5000},
{"name": "plan", "status": "running"}
]
}
State saved to /tmp/.codex-pipeline-{name}-{PPID}.json on failure.
Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached
Monitor Claude Code releases and auto-generate GitHub issues for each new version
Execute OpenAI Codex CLI prompts and return results
YAML-based DAG workflow engine with topological execution and failure strategies