Official agent skill

Flowstudio Power Automate Monitoring

by github in github/awesome-copilot

Pro+ subscription required. An agent skill from github/awesome-copilot.

OfficialMITAuto-check passedDevelopment

Install Flowstudio Power Automate Monitoring

skills CLI
$ npx skills add github/awesome-copilot --skill flowstudio-power-automate-monitoring -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot flowstudio-power-automate-monitoring --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/flowstudio-power-automate-monitoring .claude/skills/flowstudio-power-automate-monitoring && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
flowstudio-power-automate-monitoring
GitHub stars
40k
Used in
2 other repos
Token cost
~3.3k tokens
SKILL.md length
1,015 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Pro+ subscription required. An agent skill from github/awesome-copilot.

  • Tasks that involve Root cause analysis
  • SKILL.md covers How Monitoring Works, Tools, Store vs Live and Response Shapes, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve MCP servers

What it does

Flowstudio Power Automate Monitoring is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Pro+ subscription required. Tenant-wide Power Automate monitoring using the FlowStudio MCP cached store: failure rates, run-health trends, maker/app inventory, inactive owners, and compliance/health reports. Use only for aggregated tenant views. For one environment, one flow, run control, or root-cause debugging, use flowstudio-power-automate-mcp, flowstudio-power-automate-debug, or the server monitor-flow bundle. Requires FlowStudio for Teams or MCP Pro+.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Root cause analysis, MCP servers and Debugging. It works with Power Automate and Model Context Protocol. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve Root cause analysis
  • Tasks that involve MCP servers
  • Tasks that involve Debugging

Example prompts

  • “/flowstudio-power-automate-monitoring”

What it can do on your machine

Read from SKILL.md and the folder at commit 82701c2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • mcp.flowstudio.app
    • learn.flowstudio.app

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Flowstudio Power Automate Monitoring loads about 3.3k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 1,015 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~124
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 82701c2, republished under its MIT licence (© github). 1,015 words, ~3,282 tokens.

Download SKILL.mdSave it as .claude/skills/flowstudio-power-automate-monitoring/SKILL.md (or your agent's skills folder).
name
flowstudio-power-automate-monitoring
description
Pro+ subscription required. Tenant-wide Power Automate monitoring using the FlowStudio MCP cached store: failure rates, run-health trends, maker/app inventory, inactive owners, and compliance/health reports. Use only for aggregated tenant views. For one environment, one flow, run control, or root-cause debugging, use flowstudio-power-automate-mcp, flowstudio-power-automate-debug, or the server monitor-flow bundle. Requires FlowStudio for Teams or MCP Pro+.

Power Automate Monitoring with FlowStudio MCP

Monitor flow health, track failure rates, and inventory tenant assets through the FlowStudio MCP cached store — fast reads, no PA API rate limits, and enriched with governance metadata and remediation hints.

⚠️ Pro+ subscription required. This skill calls store_* tools that only work for FlowStudio for Teams or MCP Pro+ subscribers.

If the user does not have Pro+ access: the first store_* tool call will return a 403/404 error. When that happens:

  1. STOP calling store tools
  2. Tell the user this feature requires a Pro+ subscription
  3. Link them to https://mcp.flowstudio.app/pricing
  4. If their question can be answered with live tools (e.g. "list flows in one environment"), offer to use the flowstudio-power-automate-mcp skill instead

Discovery: load tool schemas via tool_search rather than tools/list — call with query: "select:list_store_flows,get_store_flow_summary" for the common monitoring tools, or load the full set with query: "skill:governance" (the server's governance bundle covers most monitoring reads too — this skill and flowstudio-power-automate-governance share the underlying tool family). This skill covers response shapes, behavioral notes, and workflow patterns — things tool_search cannot tell you. If this document disagrees with a real API response, the API wins.


How Monitoring Works

FlowStudio scans the Power Automate API daily for each subscriber and caches the results. There are two levels:

  • All flows get metadata scanned: definition, connections, owners, trigger type, and aggregate run statistics (runPeriodTotal, runPeriodFailRate, etc.). Environments, apps, connections, and makers are also scanned.
  • Monitored flows (monitor: true) additionally get per-run detail: individual run records with status, duration, failed action names, and remediation hints. This is what populates get_store_flow_runs and get_store_flow_summary.

Data freshness: Check the scanned field on get_store_flow to see when a flow was last scanned. If stale, the scanning pipeline may not be running.

Enabling monitoring: Set monitor: true via update_store_flow or the FlowStudio for Teams app (how to select flows).

Designating critical flows: Use update_store_flow with critical=true on business-critical flows. This enables the governance skill's notification rule management to auto-configure failure alerts on critical flows.


Tools

ToolPurpose
list_store_flowsList flows with failure rates and monitoring filters
get_store_flowFull cached record: run stats, owners, tier, connections, definition (triggerUrl field included)
get_store_flow_summaryAggregated run stats: success/fail rate, avg/max duration
get_store_flow_runsPer-run history with duration, status, failed actions, remediation (filter status="Failed" for errors-only view)
update_store_flowSet monitor flag, notification rules, tags, governance metadata
list_store_environmentsAll Power Platform environments
list_store_connectionsAll connections
list_store_makersAll makers (citizen developers)
get_store_makerMaker detail: flow/app counts, licenses, account status
list_store_power_appsAll Power Apps canvas apps

For start/stop, use set_live_flow_state from the monitor-flow bundle (tool_search query: "select:set_live_flow_state") — the cache resyncs on the next scan. The previous set_store_flow_state convenience wrapper is deprecated.


Store vs Live

QuestionUse StoreUse Live
How many flows are failing?list_store_flows—
What's the fail rate over 30 days?get_store_flow_summary—
Show error history for a flowget_store_flow_runs (filter status="Failed")—
Who built this flow?get_store_flow → parse owners—
Read the full flow definitionget_store_flow has it (JSON string)get_live_flow (structured)
Inspect action inputs/outputs from a run—get_live_flow_run_action_outputs
Resubmit a failed run—resubmit_live_flow_run

Store tools answer "what happened?" and "how healthy is it?" Live tools answer "what exactly went wrong?" and "fix it now."

If get_store_flow_runs or get_store_flow_summary return empty results, check: (1) is monitor: true on the flow? and (2) is the scanned field recent? Use get_store_flow to verify both.


Response Shapes

list_store_flows

Direct array. Filters: monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (bool).

json
[
  {
    "id": "Default-<envGuid>.<flowGuid>",
    "displayName": "Stripe subscription updated",
    "state": "Started",
    "triggerType": "Request",
    "triggerUrl": "https://...",
    "tags": ["#operations", "#sensitive"],
    "environmentName": "Default-aaaaaaaa-...",
    "monitor": true,
    "runPeriodFailRate": 0.012,
    "runPeriodTotal": 82,
    "createdTime": "2025-06-24T01:20:53Z",
    "lastModifiedTime": "2025-06-24T03:51:03Z"
  }
]

id format: Default-<envGuid>.<flowGuid>. Split on first . to get environmentName and flowName.

triggerUrl and tags are optional. Some entries are sparse (just id + monitor) — skip entries without displayName.

Tags on list_store_flows are auto-extracted from the flow's description field (maker hashtags like #operations). Tags written via update_store_flow(tags=...) are stored separately and only visible on get_store_flow — they do NOT appear in the list response.

Show full SKILL.md (393 more words)Show less
get_store_flow

Full cached record. Key fields:

CategoryFields
Identityname, displayName, environmentName, state, triggerType, triggerKind, tier, sharingType
Run statsrunPeriodTotal, runPeriodFails, runPeriodSuccess, runPeriodFailRate, runPeriodSuccessRate, runPeriodDurationAverage/Max/Min (milliseconds), runTotal, runFails, runFirst, runLast, runToday
Governancemonitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (number), rule_notify_email (string), log_notify_onfail (ISO), description, tags
Freshnessscanned (ISO), nextScan (ISO)
Lifecycledeleted (bool), deletedTime (ISO)
JSON stringsactions, connections, owners, complexity, definition, createdBy, security, triggers, referencedResources, runError — all require json.loads() to parse

Duration fields (runPeriodDurationAverage, Max, Min) are in milliseconds. Divide by 1000 for seconds.

runError contains the last run error as a JSON string. Parse it: json.loads(record["runError"]) — returns {} when no error.

get_store_flow_summary

Aggregated stats over a time window (default: last 7 days).

json
{
  "flowKey": "Default-<envGuid>.<flowGuid>",
  "windowStart": null,
  "windowEnd": null,
  "totalRuns": 82,
  "successRuns": 81,
  "failRuns": 1,
  "successRate": 0.988,
  "failRate": 0.012,
  "averageDurationSeconds": 2.877,
  "maxDurationSeconds": 9.433,
  "firstFailRunRemediation": null,
  "firstFailRunUrl": null
}

Returns all zeros when no run data exists for this flow in the window. Use startTime and endTime (ISO 8601) parameters to change the window.

get_store_flow_runs

Direct array of cached run records. Parameters: startTime, endTime, status (array — pass ["Failed"] for an errors-only view, ["Succeeded"], or omit for all).

Returns [] when no run data exists in the window.

Trigger URL

Read the triggerUrl field directly from get_store_flow (cached) or get_live_flow (live). It is null for non-HTTP triggers.

Starting / stopping a flow

Use set_live_flow_state from the monitor-flow server bundle. The cache catches up on the next daily scan; if you need cache freshness sooner, call get_live_flow after the state change to confirm and let the next scan sync.

update_store_flow

Updates governance metadata. Only provided fields are updated (merge). Returns the full updated record (same shape as get_store_flow).

Settable fields: monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (number, 0=disabled), rule_notify_email (comma-separated), description, tags, businessImpact, businessJustification, businessValue, ownerTeam, ownerBusinessUnit, supportGroup, supportEmail, critical (bool), tier, security.

list_store_environments

Direct array.

json
[
  {
    "id": "Default-aaaaaaaa-...",
    "displayName": "Flow Studio (default)",
    "sku": "Default",
    "type": "NotSpecified",
    "location": "australia",
    "isDefault": true,
    "isAdmin": true,
    "isManagedEnvironment": false,
    "createdTime": "2017-01-18T01:06:46Z"
  }
]

sku values: Default, Production, Developer, Sandbox, Teams.

list_store_connections

Direct array. Can be very large (1500+ items).

json
[
  {
    "id": "<environmentId>.<connectionId>",
    "displayName": "user@contoso.com",
    "createdBy": "{\"id\":\"...\",\"displayName\":\"...\",\"email\":\"...\"}",
    "environmentName": "...",
    "statuses": "[{\"status\":\"Connected\"}]"
  }
]

createdBy and statuses are JSON strings — parse with json.loads().

list_store_makers

Direct array.

json
[
  {
    "id": "09dbe02f-...",
    "displayName": "Sample Maker",
    "mail": "maker@contoso.com",
    "deleted": false,
    "ownerFlowCount": 199,
    "ownerAppCount": 209,
    "userIsServicePrinciple": false
  }
]

Deleted makers have deleted: true and no displayName/mail fields.

get_store_maker

Full maker record. Key fields: displayName, mail, userPrincipalName, ownerFlowCount, ownerAppCount, accountEnabled, deleted, country, firstFlow, firstFlowCreatedTime, lastFlowCreatedTime, firstPowerApp, lastPowerAppCreatedTime, licenses (JSON string of M365 SKUs).

list_store_power_apps

Direct array.

json
[
  {
    "id": "<environmentId>.<appId>",
    "displayName": "My App",
    "environmentName": "...",
    "ownerId": "09dbe02f-...",
    "ownerName": "Catherine Han",
    "appType": "Canvas",
    "sharedUsersCount": 0,
    "createdTime": "2023-08-18T01:06:22Z",
    "lastModifiedTime": "2023-08-18T01:06:22Z",
    "lastPublishTime": "2023-08-18T01:06:22Z"
  }
]

Common Workflows

Find unhealthy flows
1. list_store_flows
2. Filter where runPeriodFailRate > 0.1 and runPeriodTotal >= 5
3. Sort by runPeriodFailRate descending
4. For each: get_store_flow for full detail
Check a specific flow's health
1. get_store_flow → check scanned (freshness), runPeriodFailRate, runPeriodTotal
2. get_store_flow_summary → aggregated stats with optional time window
3. get_store_flow_runs(status=["Failed"]) → per-run failure detail with remediation hints
4. If deeper diagnosis needed → switch to live tools:
   get_live_flow_runs → get_live_flow_run_action_outputs
Enable monitoring on a flow
1. update_store_flow with monitor=true
2. Optionally set rule_notify_onfail=true, rule_notify_email="user@domain.com"
3. Run data will appear after the next daily scan
Daily health check
1. list_store_flows
2. Flag flows with runPeriodFailRate > 0.2 and runPeriodTotal >= 3
3. Flag monitored flows with state="Stopped" (may indicate auto-suspension)
4. For critical failures → get_store_flow_runs(status=["Failed"]) for remediation hints
Maker audit
1. list_store_makers
2. Identify deleted accounts still owning flows (deleted=true, ownerFlowCount > 0)
3. get_store_maker for full detail on specific users
Inventory
1. list_store_environments → environment count, SKUs, locations
2. list_store_flows → flow count by state, trigger type, fail rate
3. list_store_power_apps → app count, owners, sharing
4. list_store_connections → connection count per environment

  • flowstudio-power-automate-mcp — Foundation skill: connection setup, MCP helper, tool discovery
  • flowstudio-power-automate-debug — Deep diagnosis with action-level inputs/outputs (live API)
  • flowstudio-power-automate-build — Build and deploy flow definitions
  • flowstudio-power-automate-governance — Governance metadata, tagging, notification rules, CoE patterns

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/flowstudio-power-automate-monitoring of github/awesome-copilot.

Open the folder on GitHubat commit 82701c2

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

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Categories

Questions about Flowstudio Power Automate Monitoring

What does Flowstudio Power Automate Monitoring do?

Pro+ subscription required. An agent skill from github/awesome-copilot. Flowstudio Power Automate Monitoring is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Pro+ subscription required.

When should I use Flowstudio Power Automate Monitoring?

Flowstudio Power Automate Monitoring fits situations like: tasks that involve Root cause analysis; tasks that involve MCP servers; tasks that involve Debugging.

How do I install Flowstudio Power Automate Monitoring in Claude Code?

Run `npx skills add github/awesome-copilot --skill flowstudio-power-automate-monitoring -a claude-code`. Or copy the skill folder (skills/flowstudio-power-automate-monitoring in github/awesome-copilot) into .claude/skills/flowstudio-power-automate-monitoring in your project. Claude Code loads it when a task matches its description.

How do I install Flowstudio Power Automate Monitoring in Codex?

Run `npx skills add github/awesome-copilot --skill flowstudio-power-automate-monitoring -a codex`. Or copy the skill folder (skills/flowstudio-power-automate-monitoring in github/awesome-copilot) into .agents/skills/flowstudio-power-automate-monitoring in your project. Codex loads it when a task matches its description.

Can I use Flowstudio Power Automate Monitoring in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill flowstudio-power-automate-monitoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/flowstudio-power-automate-monitoring, .gemini/skills/flowstudio-power-automate-monitoring, .github/skills/flowstudio-power-automate-monitoring and .opencode/skills/flowstudio-power-automate-monitoring in your project.

What does Flowstudio Power Automate Monitoring need to run?

SKILL.md names no scripts, command-line tools or credentials: Flowstudio Power Automate Monitoring is instructions for the agent only.

Does Flowstudio Power Automate Monitoring access the network?

SKILL.md names 2 domains. As links in the text: mcp.flowstudio.app and learn.flowstudio.app. This is read from the text; nothing was executed.

Is Flowstudio Power Automate Monitoring safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Flowstudio Power Automate Monitoring use?

Flowstudio Power Automate Monitoring is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Flowstudio Power Automate Monitoring use?

About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Flowstudio Power Automate Monitoring?

Skills that share tags, products or a category with Flowstudio Power Automate Monitoring: Debug (agentic-community/mcp-gateway-registry, 968 stars), QA Find Bugs MCP (bex-co/beancount-io, 297 stars), QA Find Bugs Mobile (bex-co/beancount-io, 296 stars) and LangBot Plugin Development (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Flowstudio Power Automate Monitoring?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,878 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 9, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.