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Pipeline

核心功能是自动链式执行多技能流程,无需手动调用中间步骤,含两类管道:研究管道串联/research与/validate,从创意生成research.md和prd.md;开发管道串联4个技能,输出完整可运行项目。适用于创意转PRD、PRD转代码场景,输入为管道类型及参数,可监控进度,支持跳过已完成阶段,删状态文件可取消流程。

fortunto2
fortunto2
热度 66.88
最近更新 2026-05-17 12:26:01
分类:自动化依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:自动化脚本 / 工作流 / 任务管理 / 研究 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add solo-pipeline
Metadata
name
solo-pipeline
description
Launch automated multi-skill pipeline that chains skills into a loop. Use when user says "run pipeline", "automate research to PRD", "full pipeline", "research and validate", "scaffold to build", "loop until done", or "chain skills". Do NOT use for single skills (use the skill directly).
license
MIT
metadata
{"author":"fortunto2","version":"1.4.0","openclaw":{"emoji":"🔄"}}
allowed-tools
Bash, Read, Write, AskUserQuestion
argument-hint
research <idea> | dev <name> <stack> [--feature desc]

/pipeline

Launch an automated multi-skill pipeline. The Stop hook chains skills automatically — no manual invocation needed between stages.

Available Pipelines

Research Pipeline

/pipeline research "AI therapist app"

Chains: /research -> /validate Produces: research.md -> prd.md

Dev Pipeline

/pipeline dev "project-name" "stack" /pipeline dev "project-name" "stack" --feature "user onboarding"

Chains: /scaffold -> /setup -> /plan -> /build Produces: full project with workflow, plan, and implementation

Steps

1. Parse Arguments

Extract from $ARGUMENTS:

  • Pipeline type: first word (research or dev)
  • Remaining args: passed to the launcher script

If no arguments or unclear, ask:

Which pipeline do you want to run?

1. Research Pipeline — /research → /validate (idea to PRD)
2. Dev Pipeline — /scaffold → /setup → /plan → /build (PRD to running code)

2. Confirm with User

Show what will happen:

Pipeline: {type}
Stages: {stage1} → {stage2} → ...
Idea/Project: {name}

This will run multiple skills automatically. Continue?

Ask via AskUserQuestion.

3. Start First Stage

Run the first skill in the pipeline directly:

For research pipeline: Run /research "idea name" For dev pipeline: Run /scaffold project-name stack

The Stop hook (if configured) will handle subsequent stages automatically. Without a Stop hook, manually invoke each skill in sequence.

3b. Launcher Scripts (optional, Claude Code plugin only)

If you have the solo-factory plugin installed, launcher scripts provide tmux dashboard and logging:

# Only available with Claude Code plugin — skip if not installed
solo-research.sh "idea name" [--project name]
solo-dev.sh "project-name" "stack" [--feature "desc"]

Pass --no-dashboard when running from within a skill context.

5. Pipeline Completion

When all stages are done, output:

<solo:done/>

The Stop hook checks for this signal and cleans up the state file.

State File

Location: .solo/pipelines/solo-pipeline-{project}.local.md (project-local) or ~/.solo/pipelines/solo-pipeline-{project}.local.md (global fallback) Log file: .solo/pipelines/solo-pipeline-{project}.log

Format: YAML frontmatter with stages list, project_root, and log_file fields. The Stop hook reads this file on every session exit attempt.

To cancel a pipeline manually: delete the state file solo-pipeline-{project}.local.md

Monitoring

tmux Dashboard (terminal use)

When launched from terminal (without --no-dashboard), a tmux dashboard opens automatically with:

  • Pane 0: work area
  • Pane 1: tail -f on log file
  • Pane 2: live status display (refreshes every 2s)

Manual Monitoring

Monitor pipeline progress with standard tools:

# Watch log file
tail -f .solo/pipelines/solo-pipeline-<project>.log

# Check pipeline state

# Auto-refresh
watch -n2 -c solo-pipeline-status.sh

Otherwise, use standard tools:

# Log tail
tail -f .solo/pipelines/solo-pipeline-<project>.log

# Check state file
cat .solo/pipelines/solo-pipeline-<project>.local.md

Session Reuse

Re-running a pipeline reuses any existing state — completed stages are skipped automatically.

  • No need to close/recreate — just run the same command again

Log Format

[22:30:15] START    | my-app | stages: research -> validate | max: 5
[22:30:16] STAGE    | iter 1/5 | stage 1/2: research
[22:30:16] INVOKE   | /research "AI therapist app"
[22:35:42] CHECK    | research | .../research.md -> FOUND
[22:35:42] STAGE    | iter 2/5 | stage 2/2: validate
[22:35:42] INVOKE   | /validate "AI therapist app"
[22:40:10] CHECK    | validate | .../prd.md -> FOUND
[22:40:10] DONE     | All stages complete! Promise detected.
[22:40:10] FINISH   | Duration: 10m

Critical Rules

  1. Always confirm before starting a pipeline.
  2. Don't skip stages — the hook handles progression.
  3. Cancel = delete state file — tell users this if they want to stop.
  4. Max iterations prevent infinite loops (default 5 for research, 15 for dev).
  5. Use --no-dashboard when running from within Claude Code skill context.