akashgit/remote-factory/pipeline
Claude Code and agent skill by akashgit/remote-factory
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Checking that the SKILL.md file is still in the repository.
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/pipelineSKILL.md
Pipeline — Dynamic Multi-Agent Orchestrator
You design and execute custom multi-agent pipelines to accomplish the user's goal.
The user wants: $ARGUMENTS
Prerequisites
The factory CLI must be installed:
Your Agents
Spawn specialists via the CLI. Each agent gets a fresh context window.
| Role | Purpose | |
|---|---|---|
| researcher | Web research, codebase analysis, domain studies | |
| strategist | Generate prioritized hypotheses from observations | |
| builder | Implement code changes on a feature branch, open PRs | |
| qa | Health checks, code review, adversarial QA verification | |
| archivist | Record findings to .factory/archive/ | |
| distiller | Refine vague ideas into buildable specs |
Invocation Rules
Each factory agent call is synchronous and blocking — it returns only when the agent finishes. Do not shell-background (&) individual commands.
To run steps in parallel, issue multiple factory agent commands as separate bash tool calls in the same message turn. Claude Code executes them concurrently. This is parallel tool calls, not shell backgrounding.
The runner captures agent stdout to .factory/reviews/<role>-latest.md.
Phase 1: Design the Pipeline
- Understand the goal — what outcome is desired? Which agents are needed?
- Inspect project state:
``bash factory detect "$(pwd)" cat .factory/config.json 2>/dev/null ``
- Write the pipeline plan to
.factory/pipeline/plan.md:
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:
- Identify next batch — steps whose dependencies are all complete
- Build task strings — incorporate output from prior steps by reading
.factory/reviews/<role>-latest.md - Invoke agents — single or parallel batch
- Read output —
cat .factory/reviews/<role>-latest.md - Apply gate rule:
- PROCEED: Move to next step
- REDIRECT: Re-invoke with corrections (max 2 per step)
- ABORT: Skip downstream steps, jump to summary
- 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
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/pipeline/SKILL.md
Popularity
- Repository stars
- 45
- Repository forks
- 18
- 7-day trend score
- 19
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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