sequential agent workflow builder
Architect high-reliability multi-agent pipelines with formal contracts, validation gates, and revision loops.
$5
Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+21 moreClaude CodeCursorCodex CLIMuseDots
Manus
Grok
Grok Bot+18 agentssequential agent workflow builder
Example session with this skill installed
Design a 4-stage sequential agent pipeline for processing customer support emails, from classification to final response generation, including quality gates and escalation rules.
- Read your context and instructions
- Compiled the sequential agent workflow
I have designed a 4-stage sequential workflow for customer support email processing. This specification includes strict input/output contracts, validation gates, and clear escalation paths for low-confidence classifications.
Support Email Processing Workflow
graph TD
S1[stage-01-triage] --> G1{gate-01-02}
G1 -->|Pass| S2[stage-02-extract]
G1 -->|Fail| E1[Escalate to Human]
S2 --> G2{gate-02-03}
G2 -->|Pass| S3[stage-03-draft]
G2 -->|Fail| R1[Revision Loop S1]
S3 --> G3{gate-03-04}
G3 -->|Pass| S4[stage-04-qa]
S4 --> G4{gate-04-out}
Stage Definitions
| Stage ID | Agent Role | Output Contract | Validation Gate |
|---|---|---|---|
| stage-01-triage | Classifier | {category: string, priority: int, sentiment: float} | priority in [1,2,3] |
| stage-02-extract | Data Extractor | {order_id: string, customer_id: string, issue_summary: text} | order_id matches regex |
| stage-03-draft | Writer | {response_body: text, tone: string, cited_docs: list} | response_body.length > 50 |
| stage-04-qa | Reviewer | {approved: bool, score: float, feedback: text} | score >= 0.85 |
Revision & Escalation Policy
Revision Loop: If gate-03-04 fails, the QA agent sends a revision_message to the Writer agent. Max 2 attempts before escalation.
Escalation: Any artifact with a classification confidence < 0.7 at stage-01 is routed to the human_coordinator_agent.
- Traceability: All transitions are logged with an
upstream_digestto ensure data integrity across the pipeline.
Next steps
- Implement the JSON Schemas for the defined output contracts in your orchestration framework.
- Configure the
human_coordinator_agentwebhook for the escalation triggers. - Run the "Happy Path" test scenario to verify agent handoff latency.
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About this skill
The problem
Multi-agent systems often fail when low-quality outputs from one agent propagate downstream, causing a chain reaction of errors. Managing state, handoffs, and error recovery in complex agent pipelines becomes unmanageable without a formal contract-driven architecture.
What it does
- Generates strict sequential stage definitions with specialized roles and clear input/output contracts.
- Designs automated validation gates to block malformed or low-confidence artifacts before they reach downstream agents.
- Configures bounded revision loops and feedback paths to resolve quality issues without manual restarts.
- Defines explicit escalation rules and conflict resolution protocols for handling autonomous failures.
- Specifies append-only traceability schemas to maintain a full audit trail of every agent decision and state transition.
Why this beats prompting it yourself
Building reliable agent chains requires rigorous systems engineering, not just prompting. This skill enforces a structured framework that prevents common pitfalls like circular dependencies, state drift, and unhandled edge cases, delivering a blueprint that is ready for implementation in your orchestration layer.
Use cases
- Content generation pipelines requiring extraction, analysis, drafting, and QA stages.
- Data processing workflows where accuracy and confidence scores must meet specific thresholds.
- Legal or financial document analysis needing multi-stage verification and human-in-the-loop escalation.
- Complex software engineering tasks involving research, implementation, testing, and documentation stages.
Known limitations
Focuses on synchronous sequential pipelines. Asynchronous or highly parallel branch designs require explicit manual annotation within the workflow specification.
Focuses on synchronous sequential pipelines. Asynchronous or highly parallel branch designs require explicit manual annotation within the workflow specification.
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