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- SolveLang Workflow Review
SolveLang Workflow Review
Deterministic, read-only review of n8n workflows and Solve Graphs — readiness score, severity-ranked findings, and concrete fixes before you ship.
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SolveLang Workflow Review
Example session with this skill installed
Analyze my n8n workflow in user-onboarding.json and check the impact of changing the 'Send Welcome Email' node.
- Read your context and instructions
- Compiled the solvelang workflow review
I have analyzed the n8n workflow and mapped the impact of changes to the 'Send Welcome Email' node using the SolveLang graph tools.
Workflow Review: user-onboarding.json
| Metric | Value |
|---|---|
| Readiness Score | 72/100 |
| Total Nodes | 14 |
| Critical Findings | 1 |
| High Findings | 2 |
Findings & Impact Analysis
- Critical: Unhandled Rejection
- Node:
Send Welcome Email(ID: node_82f)
- Node:
Issue: No error trigger or "On Error" path defined. Failure at this node will halt the entire onboarding sequence without logging the failure to the CRM.
-
Recommendation: Add a
Waitnode or an error handler that routes toSlack Alertnode. -
High: Data Transformation Risk
- Node:
Format User Data(ID: node_a12)
- Node:
Issue: Upstream dependency for Send Welcome Email. Changing the email node logic without updating the data map will cause Property undefined errors.
-
Impact: 3 downstream nodes (Send Email, Update SQL, Log Success).
-
Medium: Credential Hardcoding
- Node:
HTTP Request - Issue: Authentication header contains a static token reference instead of a workflow credential object.
- Node:
Change Impact (Blast Radius)
- Direct Dependents:
Update SQL User Record,Slack Notification. - Transitive Dependents:
Marketing Analytics Sync. - Shortest Path:
Send Welcome Email->Update SQL->Success Trigger.
Next steps
- Implement the recommended error path for the
Send Welcome Emailnode. - Use
solvelang_graph_impactto verify the specific JSON schema required byMarketing Analytics Sync. - Re-run the validation after switching the hardcoded token to a credential object.
Connects securely to your tools. The creator never sees your data.
About this skill
Review n8n workflows, .solve files, and canonical Solve Graph documents with deterministic, read-only SolveLang analysis — the same review method used by the official SolveLang plugins for Claude and Codex.
Ask your agent to validate, preflight, score, document, or explain a workflow and it will:
- analyze the workflow structure first, then generate a complete reviewable report when you want the full artifact;
- report a readiness score with critical and high findings first, the affected nodes, and concrete recommendations;
- state limitations and untested runtime assumptions honestly — structural evidence, never dressed up as runtime proof;
- answer Solve Graph questions (dependencies, dependents, blast radius / change impact) with resolved node IDs, direct relationships before transitive ones, and bounded traversal depth.
Built for process engineers and automation builders who want a disciplined second pair of eyes on a workflow before it goes live.
Safety by design: all analysis is read-only. The skill never executes a workflow, never asks for or verifies credentials, never calls external APIs, and never modifies files unless you separately request an edit.
Requirement (stated up front): this skill works through the free SolveLang MCP server (@solvelang/mcp-server@0.3.0 on npm). The package includes a setup reference with the exact one-block MCP configuration. No SolveLang account or API key is needed for the local read-only tools.
What's in the package:
SKILL.md— the review method (workflow, review format, safety rules)reference/SETUP.md— MCP connection block and tool inventory
Version: 1.0.0 (aligned with @solvelang/mcp-server v0.3.0)
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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