Manage Meta Ads (Facebook + Instagram) — performance, ROAS, CPM, frequency, audience overlap, learning phase, creative fatigue, budgets, ad sets, campaigns, ads. Use for any mention of Meta Ads, Facebook Ads, Instagram Ads, ROAS, CPM, ad spend, or campaign settings on Meta.

Manage the user's shared agent-skill library via skills-manager-cli — install, update, remove, deploy or undeploy skills per agent, manage presets, organize tags, search, and adopt existing skills. Use this whenever the user wants Claude Code, Codex, Cursor, or another agent to gain or lose a skill, wants to organize the central library, or asks what is installed or deployed. Prefer this over direct agent-folder installs because Skills Manager preserves source metadata, preset membership, updates, and cross-agent deployment state.

Locate objects with a running PerceptionLocalize stack over MCP (`state`, `localize`) - probe the machine, build the time window, watch labels on a schedule, narrow an object's position, change params per call, and tell where a failure comes from. Use whenever a blueprint with PerceptionLocalize and McpServer runs, such as go2-localize or xarm-localize-live.

Set up or modernize code-quality tooling for JavaScript and TypeScript projects. Use when creating a project, adding code-health or CI quality checks, making a repository agent-ready, or consolidating dead-code, duplication, architecture, dependency, and changed-code analysis. Do not use for formatting-only, lint-rule-only, or TypeScript type-error tasks. Do not use to run an analysis of a project that is already set up; use the fallow skill for that.

Activate when the user explicitly names the narrator skill or requests production-ready narration in either case: (1) numbered takes fitted to fixed video windows, or (2) one continuous long-form story read in a locked voice that must be measured and retried for timbre or internal pauses. Collect missing text, voice_id, or voice_type after activation; their absence is not a reason to skip this workflow. Own pacing, speech-duration gates, retries, and ready audio delivery; never time-stretch. Do not use for ordinary TTS, "read this aloud", an unconstrained voiceover, voice browsing, music, SFX, singing, dubbing existing speech, or voice cloning.

Share Dropbox files or folders by creating shared links, inspecting existing shared links, or explaining current shared-link state. Use only when the user explicitly asks to create a shared link, check access, or inspect a Dropbox shared link.

Async and concurrency patterns for Mistral Vibe. Use when working with asyncio, the agent loop, the app server's event loop, HTTP clients, streaming surfaces, or core-to-client communication.

Analyze MSBuild binary logs to diagnose build failures. USE FOR: build errors that are unclear from console output, diagnosing cascading failures across multi-project builds, tracing MSBuild target execution order, and generally any MSBuild build issues. Requires an existing .binlog file. DO NOT USE FOR: generating binlogs (use binlog-generation), binlog MCP startup or connection failures (use troubleshoot-binlog-mcp), non-MSBuild build systems.

Correctly call native (C/C++) libraries from .NET using P/Invoke and LibraryImport. Covers function signatures, string marshalling, memory lifetime, SafeHandle, and cross-platform patterns. USE FOR: writing new P/Invoke or LibraryImport declarations, reviewing or debugging existing native interop code, wrapping a C or C++ library for use in .NET, diagnosing crashes, memory leaks, or corruption at the managed/native boundary. DO NOT USE FOR: COM interop, C++/CLI mixed-mode assemblies, or pure managed code with no native dependencies.

The scheduled model sweep. Reads the team's models channel for hints, discovers new LLM models, adds them to ml_model_list.py, runs the paid tests, marks dead provider entries deprecated, opens PRs under the team's rules, announces them in Slack, and checks whether remote_config needs a publish PR. Use when asked to run the model sweep by hand, to add or deprecate models unattended, or to change how the daily sweep behaves.

Kiln's code conventions and per-area gotchas, plus a diff gate that enforces the mechanical ones. Invoke before writing or changing any Python, TypeScript or Svelte code in the Kiln repo (libs/core, libs/server, app/desktop, app/web_ui), and when reviewing such a change. Covers comments, startup and entry points, globals and module state, config reads, module layering, library-vs-app rules and async I/O.

Create, migrate, update, and verify Wear OS widgets using Glance Wear and Remote Compose in an Android project. Use this skill when implementing GlanceWearWidget, GlanceWearWidgetService, WearWidgetDocument, Remote Compose UI primitives (RemoteColumn, RemoteRow, RemoteBox, RemoteText, RemoteImage, RemoteButton), local state with rememberMutableRemoteInt and valueChange, click actions with pendingIntentAction, widget provider XML containers (SMALL and LARGE), rectangular widget picker PNG previews, or migrating legacy ProtoLayout TileService tiles to Wear OS widgets. Don't use for mobile home screen AppWidgetProvider or GlanceAppWidget implementations, watch face complications, or full-screen Wear OS activities.

Download and archive Discord attachments, images, and links from a server channel, DM, or Discord Data Package export. Use when asked to "download Discord attachments", "harvest a Discord channel", "archive a DM", or "organize a Discord Data Package"; or when preserving files from a Discord export or conversation.

Use the local Kaggle CLI skill for command guidance, workflows, and troubleshooting across competitions, datasets, kernels/notebooks, models, model variations and versions, inbox file uploads, forums/discussions, benchmarks, configuration, OAuth/API-token authentication, and accelerator quota. Activate this skill when the user asks about kaggle CLI commands, examples, flags, metadata files, download/upload flows, submissions, benchmark tasks, or Kaggle CLI behavior.

Manually dispatch and iterate on the Release Canary workflow that smoke-tests published OpenShell artifacts (install.sh on macOS/Ubuntu/Fedora, Helm chart on kind) after each Release Dev publish. Use when changing `.github/workflows/release-canary.yml`, validating a release before tagging, debugging a canary failure, or reproducing a canary job locally. Trigger keywords - release canary, release-canary, canary failed, canary dispatch, test release canary, post-release smoke, install.sh canary, helm chart canary, kind canary, dispatch canary.

Reach into past AI conversation history through the `trellis mem` CLI. Use whenever the user asks 'how did we solve X last time', 'have we discussed this before', 'what was the decision on X', 'remind me what we did in this task', '上次怎么解的', '之前讨论过吗', '想起一段对话', or when starting a brainstorm that overlaps prior work, debugging a familiar bug, continuing a task across sessions, or doing a finish-work review. Returns raw past dialogue; decide for the moment whether to update spec, append to task notes, quote inline in the answer, or just internalize.

Generates Terraform HCL configurations for Cloud Monitoring notification channels (`google_monitoring_notification_channel`) and adds notification channels to alerting policies (`google_monitoring_alert_policy`) in Google Cloud projects. Use when creating or configuring email, SMS, Slack, PagerDuty, Pub/Sub, or webhook notification channels, verifying Pub/Sub topic compatibility (including cross-project topics, message storage policies, and in-transit enforcement) and publishing permissions for the Cloud Monitoring Service Agent, or adding notification channels to existing alert policies. Don't use for authoring or editing alerting policy conditions, selecting metric descriptors, or writing PromQL or Monitoring Filter queries.

Discover Google Cloud resource telemetry and effective Org Policies, evaluate brownfield workloads against sovereign data boundary and compliance standards (EU Data Boundary with Support, FedRAMP Moderate/High, DoD IL4/IL5, ITAR, CJIS, US/EU Regional Data Boundaries), and recommend the optimal Assured Workloads Framework. Use when asked to: "assess my environment for compliance", "which Assured Workloads framework should I use?", "check if my folder is ready for EU sovereignty", "evaluate compliance posture for folders/123 or projects/xyz", or "discover compliance gaps before deployment". Do NOT use for live mutating policy deployments, generating deep audit reports via Cloud Audit Manager, generating remediation scripts, or authoring custom Assured Workloads frameworks.

Processes GCP infrastructure design and deployment workflows within Application Design Center (ADC). Use when: - Designing GCP infrastructure with Terraform. - Validating local HCL. - Performing best-practice plan scans. - Importing templates to Application Design Center (ADC). - Deploying templates. - Troubleshooting deployment failures. Boundaries: - Only use for GCP-specific cloud infrastructure. - Only use for Terraform coding within the ADC context.

Use when building, editing, validating, testing, or debugging an n8n workflow through the n8n-mcp MCP server — designing a flow, configuring a node, writing an expression or Code node, wiring credentials, or fixing one that misbehaves. The entry-point skill for the n8n-mcp-skills pack: it routes you to the right specialist skill, gives working knowledge of every n8n-mcp tool from turn one, and states the rules that keep workflows from breaking in production. Always consult it first on any n8n, workflow, node, or automation task — even a quick one-off, and even when the user names no skill — because n8n's surface drifts between versions and the specialist skills prevent silent failures.