pipeline
Skill74 starsChanged 38 days agoMITView on GitHub
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.
29 other projects use a version of this.
Adopted by
Most recently taken up by
- PeterPartridge/CooperativeAICodingtheir own version, first seen Nov 8, 2026
- Jakeschincariol/closer-skilltheir own version, first seen Nov 8, 2026
- Nucleify/Nucleifytheir own version, first seen Nov 2, 2026
- lza6/claw-code-tingfengtheir own version, first seen Nov 1, 2026
- Jlosev/agent-skillstheir own version, first seen Oct 30, 2026
- okfriansyah-moh/agentic-workflowtheir own version, first seen Oct 25, 2026
Used with
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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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dubwoahSkillask
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Other versions29 projects use a version of this.
Word for word · 1
- boston-harness-group/remote-factory★ 74100% same
Edited · 0
None found.
Wrote their own version · 28
- Yeachan-Heo/oh-my-codex★ 34ksame name
- H-mmer/pentest-agents★ 815same name
- spytensor/openmozi★ 215same name
- Nucleify/Nucleify★ 171same name
- baekenough/oh-my-customcode★ 42same name
- Jakeschincariol/closer-skill★ 33same name
- Magerko/claude-code-skills★ 22same name
- alejopijuan/Claude-Code-Agency-Co-Founder★ 19same name
- tonydzi/second-brain-starter-kit★ 6same name
- lza6/claw-code-tingfeng★ 5same name
18 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- factorySkill
- implementSkill
- pipeline-subagentsSkill
- statusSkill
- studySkill
- workflow-design-v2Skill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 21 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 104
Write .factory/pipeline/summary.md with goal, status, step results, and key findings.
“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Pipeline — Dynamic Multi-Agent Orchestrator
You design and execute custom multi-agent pipelines to accomplish the user's goal.
The user wants: $ARGUMENTS
Prerequisites
The factory CLI must be installed:
command -v factory >/dev/null 2>&1 || uv tool install "${CLAUDE_PLUGIN_ROOT}"
mkdir -p .factory/pipelineYour Agents
Spawn specialists via the CLI. Each agent gets a fresh context window.
factory agent <role> --task "<task description>" --project "$(pwd)" [--timeout N]| Role | Purpose |
| researcher | Web research, codebase analysis, domain studies |
| strategist | Generate prioritized hypotheses from observations |
| builder | Implement code changes on a feature branch, open PRs |
| qa | Health checks, code review, adversarial QA verification |
| archivist | Record findings to .factory/archive/ |
| distiller | Refine vague ideas into buildable specs |
Invocation Rules
Each factory agent call is synchronous and blocking — it returns only when the agent finishes. Do not shell-background (&) individual commands.
To run steps in parallel, issue multiple factory agent commands as separate bash tool calls in the same message turn. Claude Code executes them concurrently. This is parallel tool calls, not shell backgrounding.
The runner captures agent stdout to .factory/reviews/<role>-latest.md.
Phase 1: Design the Pipeline
- Understand the goal — what outcome is desired? Which agents are needed?
- Inspect project state:
factory detect "$(pwd)" cat .factory/config.json 2>/dev/null - Write the pipeline plan to
.factory/pipeline/plan.md:
## 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:
- 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.
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