MoaidHathot

Catalogue of architecturally useful Orchestra orchestrations already registered in this workspace that should be reused (via the `Orchestration` step type or the data-plane `invoke_orchestration` MCP tool) instead of being re-implemented inline. Use this skill when authoring a new orchestration that needs to publish ActionView entries, generate other orchestrations from natural-language descriptions, or run an ephemeral self-healing task. Pair it with `writing-orchestrations` (schema reference) and `mcp-catalog` (MCP wiring).

Authoritative catalog of MCP servers actually configured and working in this Orchestra workspace. Use this skill whenever you author or generate an orchestration so every `mcps:` entry references a real MCP. Distinguishes pre-registered MCPs (in orchestra.mcp.json, no top-level declaration needed) from inline-only MCPs (must be declared in the orchestration's top-level `mcps:` block).

Creates and validates Orchestra orchestration files (JSON/YAML) that define DAGs of steps (Prompt, Command, Script, Http, Transform, Approval, Orchestration) with triggers, hooks, MCPs, subagents, loops, typed inputs, human-in-the-loop pauses, and template expressions. Use when authoring new orchestrations, generating orchestration files from descriptions, reviewing existing orchestrations for correctness, or debugging orchestration issues.

Responds to PR comments using the PowerReview MCP server. Reads incoming comments on the user's PRs, creates draft replies and proposed code fixes. Use when asked to respond to PR feedback, fix issues raised in review comments, or address reviewer concerns.

Reviews pull requests using the PowerReview MCP server. Reads PR metadata, diffs, and comment threads, then creates draft review comments. Use when asked to review a pull request, provide code review feedback, or analyze PR changes.

Creates an ActionView entry of type 'pr-comment-response' summarizing how AI agents responded to incoming PR comments. Shows each reviewer comment paired with the AI's draft reply, draft operation, and/or proposed code fix, with per-response approve/delete/reject actions and safe entry-level actions. Use after the AI agent has finished processing incoming comments on a PR.

Creates an ActionView entry of type 'pr-review-summary' from PowerReview draft comments/replies and consolidated review data. Produces a structured JSON entry with PR metadata, per-draft details (reviewer name, file/thread, severity, code diff when available), per-draft approve/delete actions, and entry-level bulk actions (approve all, submit, vote, delete all). Use after all PR reviewers have finished creating their draft comments or follow-up replies and the consolidated review is available.

Use when reviewing a Pull Request and you want to apply the liabadi reviewing perspective, covering Resource Providers, RPAAS, UserRP ARM, Azure deployment and RP semantics, orchestration correctness, and observability.

Use the Zakira.Replay command-line tool to extract durable, timestamped, fact-shaped evidence from video URLs or local media. Zakira.Replay produces facts only; you synthesize summaries, work items, and other insights from those artifacts.

Use Zakira.Replay's MCP server tools to run non-blocking video analysis jobs, retrieve timestamped evidence artifacts, build chapters/search indexes, and extract clips. Zakira.Replay produces facts only; you synthesize summaries, work items, and other insights from those artifacts.

Deprecated combined Zakira.Replay skill. Prefer zakira-replay-cli when shell commands are available, or zakira-replay-mcp when Zakira.Replay MCP tools are available.

Comprehensive guide for AI assistants on using the StringExtensions and StringHelper APIs

Will tell you everything about me

Use, configure, and troubleshoot Zakira.Conduit - the .NET 10 global CLI tool that mirrors agent skills from GitHub repositories or local directories into one or more target folders via a conduit.json manifest. Activate when the user mentions conduit, conduit.json, .conduit-state.json, syncing or mirroring agent skills, pinning a commit / branch, or runs commands such as `conduit sync`, `conduit list`, `conduit status`, `conduit pin`, `conduit update`, `conduit watch`, `conduit init`, or `conduit validate`.

Inspect and scan Model Context Protocol (MCP) servers - list tools/resources/prompts, classify auth surface (anonymous / RFC 9728 OAuth / Bearer / custom challenge), capture TLS posture, audit OAuth/RFC 8414 authorization-server metadata, run behavioural probes (server-initiated sampling/elicitation/roots, call-non-existent-tool), and produce structured JSON reports with diff/baseline support. Use when the user asks to "inspect / scan / audit / list / test / observe an MCP server", "list tools/resources/prompts on an MCP", "diff two MCP scans", "find leaky tool descriptions", "check OAuth/auth setup of an MCP", "fetch a resource from an MCP", "set per-target headers on an MCP", or works with the `mcplense` CLI / `McpLense.Cli` dotnet tool / `McpLense` NuGet library.

Creates and validates Orchestra orchestration files (JSON/YAML) that define DAGs of steps (Prompt, Command, Script, Http, Transform, Approval, Orchestration) with triggers, hooks, MCPs, subagents, loops, typed inputs, human-in-the-loop pauses, and template expressions. Use when authoring new orchestrations, generating orchestration files from descriptions, reviewing existing orchestrations for correctness, or debugging orchestration issues.

Create review and notification entries (PR reviews, deploy approvals, incidents, alerts) in the user's ActionView review queue, and inspect or modify existing entries via its MCP server. Use when the user has ActionView running and you need to surface something interactive for them to review, when you produce content the user must approve or edit before submitting (e.g., AI-drafted PR comments), or when the user asks you to inspect, update, dismiss, or pin items in the queue.

Sends rich Windows Toast Notifications from the command line using the Palantir CLI tool. Use when the user wants to show notifications, display alerts, prompt for confirmation, capture user input via toasts, track progress with toast progress bars, or integrate notifications into scripts and CI/CD pipelines. Requires Windows 10+ and the Palantir .NET global tool.