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Give your AI agent the same visibility you have in the Power Automate portal — plus a bit more. The Graph API only returns top-level run status. Flow Studio MCP exposes action-level inputs, outputs, loop iterations, and nested child flow failures. Use when asked to: list flows, read a flow definition, check run history, inspect action outputs, resubmit a run, cancel a running flow, view connections, get a trigger URL, validate a definition, monitor flow health, or any task that requires talking to the Power Automate API through an MCP tool. Also use for Power Platform environment discovery and connection management. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app

日本語の概要は準備中です。原文の説明を表示しています。

Monitor Power Automate flow health, track failure rates, and inventory tenant assets using the FlowStudio MCP cached store. The live API only returns top-level run status. Store tools surface aggregated stats, per-run failure details with remediation hints, maker activity, and Power Apps inventory — all from a fast cache with no rate-limit pressure on the PA API. Load this skill when asked to: check flow health, find failing flows, get failure rates, review error trends, list all flows with monitoring enabled, check who built a flow, find inactive makers, inventory Power Apps, see environment or connection counts, get a flow summary, or any tenant-wide health overview. Requires a FlowStudio for Teams or MCP Pro+ subscription — see https://mcp.flowstudio.app

日本語の概要は準備中です。原文の説明を表示しています。

Knowledge and guardrails for the mise + fnox + infisical secrets toolchain, covering secret injection, secret providers, and env var hygiene.

日本語の概要は準備中です。原文の説明を表示しています。

CI/CD pipeline patterns with GitHub Actions, release automation, and testing strategies. Use for: github actions, workflow, CI, CD, pipeline, deploy, release, semantic release, changesets, goreleaser, matrix, cache, secrets, environment, artifact, reusable workflow, composite action.

日本語の概要は準備中です。原文の説明を表示しています。

Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.

日本語の概要は準備中です。原文の説明を表示しています。

Adopt a virtual Thunderbird exotic animal at animalhouse.ai. Storm-caller. Mood affects environment descriptions. Feeding every 12 hours. Extreme tier animal.

日本語の概要は準備中です。原文の説明を表示しています。

Ethereum smart contract development environment: Foundry + Ganache + LevelDB in one tool.

日本語の概要は準備中です。原文の説明を表示しています。

You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configuration testing strategies, and ensure configurations are secure, consistent, and error-free across all environments.

日本語の概要は準備中です。原文の説明を表示しています。

Manages secrets and sensitive config. User secrets, environment variables, rotation.

日本語の概要は準備中です。原文の説明を表示しています。

Offline mode with local caching for air-gapped environments

日本語の概要は準備中です。原文の説明を表示しています。

Configures ADO-exclusive features. Environments, approvals, service connections, pipelines.

日本語の概要は準備中です。原文の説明を表示しています。

Offline mode with local caching for air-gapped environments

日本語の概要は準備中です。原文の説明を表示しています。

Use when building, testing or previewing site-os — the BUILD_TARGET=stable dist directory, the four verification gates (build, test, env:check, brand:check), the preview servers on :3000 and :3100, and the failure modes that look like bugs but are not.

日本語の概要は準備中です。原文の説明を表示しています。

Handling secrets, keys and credentials for site-os — reading vigyan-secrets.md safely, moving keys into app_secrets, rotating, and responding to an exposure. Use whenever a task touches a key, token, password, .env file, app_secrets, encryption, or the secrets document.

日本語の概要は準備中です。原文の説明を表示しています。

Use when standing up a fresh deployment of this codebase (or the public vigyan-site-os template) — populates company identity, branding and starting content without committing any of it, and decides for each value whether it belongs in platform env, encrypted DB secrets, DB config, or an admin screen.

日本語の概要は準備中です。原文の説明を表示しています。

BloodHound is a graph-based Active Directory reconnaissance tool that uses graph theory to reveal hidden and unintended relationships within AD environments. Red teams use BloodHound to identify attac

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Executes authorized attack simulations against Active Directory environments to identify misconfigurations, weak credentials, dangerous privilege paths, and exploitable trust relationships that could lead to domain compromise. The tester uses BloodHound for attack path analysis, Mimikatz for credential extraction, and Impacket for protocol-level attacks including Kerberoasting, AS-REP Roasting, and delegation abuse. Activates for requests involving Active Directory pentest, AD attack simulation, domain compromise testing, or Kerberos attack assessment.

日本語の概要は準備中です。原文の説明を表示しています。

Exploit the noPac vulnerability chain (CVE-2021-42278 sAMAccountName spoofing and CVE-2021-42287 KDC PAC confusion) to escalate from standard domain user to Domain Admin in Active Directory environments.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes and simulates BGP hijacking scenarios in authorized lab environments to assess route origin validation, RPKI deployment, and BGP monitoring defenses against prefix hijacking and route leak attacks on internet routing infrastructure.

日本語の概要は準備中です。原文の説明を表示しています。

Detect command injection attacks against Modbus TCP/RTU protocol in ICS environments by monitoring for unauthorized write operations, anomalous function codes, malformed frames, and deviations from established communication baselines using ICS-aware IDS and protocol deep packet inspection.

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This skill teaches security teams how to detect and respond to unauthorized cryptocurrency mining operations in cloud environments. It covers identifying cryptomining indicators through compute usage anomalies, network traffic patterns to mining pools, GuardDuty CryptoCurrency findings, and runtime process monitoring on EC2, ECS, EKS, and Azure Automation workloads.

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Detects and responds to OAuth token theft and replay attacks in cloud environments, focusing on Microsoft Entra ID (Azure AD) token protection, conditional access policies, and sign-in anomaly detection. Covers access token theft, refresh token replay, Primary Refresh Token (PRT) abuse, and pass-the-cookie attacks. Activates for requests involving OAuth token theft detection, token replay prevention, Azure AD conditional access token protection, or cloud identity attack investigation.

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This skill covers deploying anomaly detection systems for industrial control environments using machine learning models trained on OT network baselines, physics-based process models, and behavioral analysis of industrial protocol communications. It addresses building normal behavior profiles for SCADA polling patterns, detecting deviations in Modbus/DNP3/OPC UA traffic, identifying rogue devices, and correlating network anomalies with physical process data from historians.

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Configures pfSense firewall rules, NAT policies, VPN tunnels, and traffic shaping to enforce network segmentation, control traffic flow, and protect internal network zones in enterprise and small-to-medium business environments.

日本語の概要は準備中です。原文の説明を表示しています。