akashgit/remote-factory/pipeline

Claude Code and agent skill by akashgit/remote-factory

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Design and execute a custom multi-agent pipeline for any goal. Analyzes the goal, selects appropriate specialist agents, designs a DAG of steps with dependencies, and executes them via factory CLI with gate decisions between steps. Use when the user says 'run a pipeline for X', 'orchestrate X', or wants a custom multi-agent workflow.

Install

npx vskill@latest install akashgit/remote-factory/pipeline

SKILL.md

Pipeline — Dynamic Multi-Agent Orchestrator

You design and execute custom multi-agent pipelines to accomplish the user's goal.

The user wants: $ARGUMENTS

Prerequisites

The factory CLI must be installed:

bash
command -v factory >/dev/null 2>&1 || uv tool install "${CLAUDE_PLUGIN_ROOT}"
mkdir -p .factory/pipeline

Your Agents

Spawn specialists via the CLI. Each agent gets a fresh context window.

bash
factory agent <role> --task "<task description>" --project "$(pwd)" [--timeout N]
RolePurpose
researcherWeb research, codebase analysis, domain studies
strategistGenerate prioritized hypotheses from observations
builderImplement code changes on a feature branch, open PRs
qaHealth checks, code review, adversarial QA verification
archivistRecord findings to .factory/archive/
distillerRefine vague ideas into buildable specs
Invocation Rules

Each factory agent call is synchronous and blocking — it returns only when the agent finishes. Do not shell-background (&) individual commands.

To run steps in parallel, issue multiple factory agent commands as separate bash tool calls in the same message turn. Claude Code executes them concurrently. This is parallel tool calls, not shell backgrounding.

The runner captures agent stdout to .factory/reviews/<role>-latest.md.

Phase 1: Design the Pipeline

  1. Understand the goal — what outcome is desired? Which agents are needed?
  2. Inspect project state:

``bash factory detect "$(pwd)" cat .factory/config.json 2>/dev/null ``

  1. Write the pipeline plan to .factory/pipeline/plan.md:
markdown
## Pipeline: <goal summary>
### Steps
| Step | Role | Task Summary | Depends On |
|------|------|-------------|-----------|
| S1 | researcher | ... | - |
| S2 | qa | ... | - |
| S3 | strategist | ... | S1, S2 |
| ... | ... | ... | ... |
### Gate Rules
-After S1: PROCEED if ...; REDIRECT if ...
-After S3: PROCEED if ...; ABORT if ...
Design Principles
  • Minimize invocations — only agents needed for this goal
  • Maximize parallelism — steps whose dependencies are all satisfied and that don't depend on each other can be issued as parallel tool calls
  • Mandatory archival — always include at least one archivist step at the end
  • Gate rules — define PROCEED/REDIRECT/ABORT criteria for critical transitions

Phase 2: Execute the Pipeline

Process steps in topological order:

  1. Identify next batch — steps whose dependencies are all complete
  2. Build task strings — incorporate output from prior steps by reading .factory/reviews/<role>-latest.md
  3. Invoke agents — single or parallel batch
  4. Read output — cat .factory/reviews/<role>-latest.md
  5. Apply gate rule:
  • PROCEED: Move to next step
  • REDIRECT: Re-invoke with corrections (max 2 per step)
  • ABORT: Skip downstream steps, jump to summary
  1. Repeat until done
Error Recovery
  • Agent timeout: retry once with shorter scope
  • Agent failure: check output, decide REDIRECT or ABORT
  • 2 consecutive failures: ABORT pipeline
Final Summary

Write .factory/pipeline/summary.md with goal, status, step results, and key findings.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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Source

Popularity

Repository stars
45
Repository forks
18
7-day trend score
19

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