Customizing the Webiny Admin UI -- white-labeling, custom data list columns, page-type forms, named dialogs, named drawers, and Lexical editor plugins. Use this skill when the developer wants to change branding (logo, title, theme colors), add custom columns to content entry list views, create custom forms for Website Builder page types, register named dialogs or drawers that can be opened from anywhere with params, or extend the Lexical rich text editor. Covers AdminConfig, ContentEntryListConfig, useDialog, useDrawer, useOpenDialog, useOpenDrawer.

Building a New Entry Wizard for the Headless CMS. Use this skill when the developer wants to show a custom wizard UI before the entry form when creating new CMS entries -- collecting fields like title, slug, or category upfront, then pre-filling the entry form. Covers ContentEntryEditorConfig.NewEntryWizard, createFeature, FormModelFactory, createReactiveComponent, useContentEntryFormPresenter, and the dirty-flag on setData.

UseCase implementation pattern — DI, Result handling, error types, decorators, CMS repositories, entry mappers, and schema-based permissions. Use this skill to implement, inject, override, or decorate any Webiny UseCase, or to build repositories that persist data via CMS.

Creates and updates OrchardCore data migrations (DataMigration classes with CreateAsync/UpdateFromX). Use when the user needs to alter content type definitions, create or change SQL index tables, patch existing content items, run a recipe migration, or version a module's schema.

WASM build constraints for the crates/xberg-wasm crate — the wasm-target feature set, no-tokio sync-only internal APIs, the crate-private SyncExtractor trait, the 2 MB HTML size limit, size-optimized build config (opt-level="z"), and the async-wrapper/sync-internal API pattern. Load when building for wasm32, adding or modifying a WASM-compatible extractor, or debugging WASM build/runtime failures.

Use Desktop Commander for terminal and command-line work, especially anything that needs a shell whose state persists across turns: Python/Node REPLs, database shells, dev servers and other long-running processes, SSH into remote machines, and Windows PowerShell. Also handles everyday terminal tasks — navigating folders, choosing the right command for the user's shell (PowerShell, cmd, bash, zsh), running Docker/curl/cloud-CLI commands, inspecting processes and ports, and saving recurring workflows as scripts — even when the user doesn't say "Desktop Commander" or "terminal." Reach for it on pasted errors like "command not found", "permission denied", "EADDRINUSE", "address already in use", "npm ERR!", "ModuleNotFoundError", or "ENOENT", and on intents like "what's using port 3000", "kill that process", "ssh into my server", or "why won't my dev server start". Works on Windows, macOS, and Linux. Never run destructive commands without explicit confirmation.

Manage matter workspaces — new, list, switch, close, or detach (practice-level). Use when working across multiple clients or matters in private practice and you need to create, list, switch, close, or detach the active matter so context from one engagement doesn't leak into another.

Disable a community skill installed through the hub without removing its files. Use when the user wants to temporarily quiet a community skill ("disable [skill]"), stop its hooks from firing while keeping its config, or re-enable a previously disabled skill.

Check open leaves for deadline alerts and required decisions. Surfaces only the leaves that require an action and explains why — not a status board. Use weekly, or whenever the attorney needs to know which leaves have upcoming designation, certification, or exhaustion deadlines.

Update the status of an in-progress international expansion project — recalculates what is now unblocked, flags anything overdue, and surfaces the next priorities. Use when work has happened since the last session and the expansion tracker needs to reflect the current state.

House cold-start interview (request list + prior memo), or --new-deal for deal-specific context. Modular: identifies which practice areas apply (M&A, Board & Secretary, Public Company, Entity Management), then asks targeted questions for each active module and writes only the relevant sections to the plugin config. Use on fresh install, when CLAUDE.md still has [PLACEHOLDER] markers, when starting a new deal, or to re-check integrations or refresh a module.

Run the cold-start interview to learn your commercial contracts practice and write your team practice profile. Use on first use of the plugin, when `~/.claude/plugins/config/claude-for-legal/commercial-legal/CLAUDE.md` is missing or still contains template placeholders, or when the user says "set up the plugin", "configure commercial contracts", "onboard me", or "let's get started". This is the only skill that should run on a fresh install.

Apply ClawHub-specific Convex conventions and route to the right managed Convex skill. Use for any change under convex/, Convex commands or deployment targeting, query performance, migrations, retention, runtime validation, or skill stat reads and writes in the ClawHub repository.

Expert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, production debugging, or log investigation.

Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.

Where the Rerun documentation and code snippets live on disk and how to search them. Read this before answering a question about how Rerun works, what an archetype or view does, how to log or query data, or when you need a copy-pastable example in Python, Rust, or C++.

How raw multimodal robot data maps onto the Rerun data model. Read FIRST, before modeling or converting a dataset — and whenever you are about to convert/ingest/preprocess robot data into an .rrd or build a Rerun recording, even if not asked for the data model. Resolves the entity-vs-component, property-vs-component-vs-layer, and static-vs-temporal decisions and routes to the mechanism (do it with readers and lenses, not hand-built chunks or per-message rr.log): rerun-chunk-processing and the importer skills rerun-mcap, rerun-urdf, rerun-parquet, rerun-mp4, rerun-lerobot.

Use this skill when the user sends a slash command or asks to run a MoviePilot system or plugin command in natural language. Discover the live command catalog, resolve the exact command, and dispatch it through the structured API gateway.

Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"