Agent skill · Security

flowstudio-power-automate-debug

Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscriptio

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill flowstudio-power-automate-debug --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 3
SKILL.md size: 18 KB
Bundled scripts: none
Path: skills/flowstudio-power-automate-debug/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Power Automate Debugging with FlowStudio MCP A step-by-step diagnostic process for investigating failing Power Automate cloud flows through the FlowStudio MCP server. > **Real debugging examples**: [Expression error in child flow](https://github.com/ninihen1/power-automate-mcp-skills/blob/main/examples/fix-expression-error.md) | > [Data entry, not a flow bug](https://github.com/ninihen1/power-automate-mcp-skills/blob/main/examples/data-not-flow.md) | > [Null value crashes child flow](https://github.com/ninihen1/power-automate-mcp-skills/blob/main/examples/null-child-flow.md) **Prerequisite**: A FlowStudio MCP server must be reachable with a valid JWT. See the `flowstudio-power-automate-mcp` skill for connection setup. Subscribe at https://mcp.flowstudio.app --- ## Source of Truth > **Always call `list_skills` / `tool_search` first** to confirm available tool > names and parameter schemas. Tool names and parameters may change between > server versions. > This skill covers response shapes, behavioral notes, and diagnostic patterns — > things tool schemas cannot tell you. If this document disagrees with > `tool_search` or a real API response, the API wins. --- ## Python Helper ```py

What's inside
Steps it walks through
  1. Source of Truth
  2. Python Helper
  3. Step 1 — Locate the Flow
  4. Step 2 — Find the Failing Run
  5. Step 3 — Get the Top-Level Error
  6. Step 4 — Inspect the Failing Action's Inputs and Outputs
  7. What the action outputs reveal (that error codes don't)
  8. Foreach iterations
  9. Evidence Compose Bookends
  10. Example: HTTP action returning 500
  11. Example: Expression error on null
  12. Step 5 — Read the Flow Definition
  13. Step 6 — Walk Back from the Failure
  14. Step 7 — Pinpoint the Root Cause
Ships with 2 files
  • references/common-errors.md
  • references/debug-workflow.md
More from awesome-copilot
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About this skill
What does the flowstudio-power-automate-debug skill do?

Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscriptio

How do I install it?

Run `npx skills add github/awesome-copilot --skill flowstudio-power-automate-debug --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going