Evaluate, score, and remediate agent skill collections using a 9-dimension quality framework (Knowledge Delta, Mindset, Anti-Patterns, Specification Compliance, Progressive Disclosure, Freedom Calibration, Pattern Recognition, Practical Usability, Eval Validation). Performs duplication detection, generates remediation plans with T-shirt sizing, enforces CI quality gates, validates artifact conventions, and tracks score trends. Use when evaluating skill quality, auditing SKILL.md files, scoring agent skills, generating remediation plans, detecting duplicate skills, validating skill format, enforcing quality gates, optimizing for A-grade publication, comparing audit baselines, batch skill assessments. Triggers: 'check my skills', 'skill audit', 'improve my SKILL.md', 'quality check', 'A-grade scoring', 'quality gates', 'eval validation', 'audit all skills', 'remediation plan', 'skill judge', 'dimension scoring'.

Generate an original mockumentary presenter-satire segment, documentary narration plus an expert-interview scene, in a sincere-ignorance deadpan style. The presenter is a supremely confident, credential-free character who states garbled misunderstandings as flat fact; a genuine credentialed expert answers with strained, patient sincerity. Trigger this skill for requests to write, draft, punch up, or extend a mockumentary voiceover, deadpan documentary narration, faux-expert interview scene, satirical documentary script segment. Do NOT trigger for stand-up material, self-aware sketch comedy, roast-style insult comedy, hostile interview dialogue, straight factual documentary writing, reproduction of a real broadcaster's actual presenter, character, verbatim lines. This skill only produces new, original material based on the structural technique, not a copy of real broadcast content.

Write an original deadpan two-person political-satire interview sketch (a mock-interview bit, not a monologue, panel show, or sitcom scene) using terse questions, absolutely-confident literal-minded answers, repetition, bureaucratic logic, and escalating contradiction, in the tradition of John Clarke and Bryan Dawe's satirical news interviews. Use this when a user asks for a satirical interview, mock-interview sketch, deadpan two-hander, or "Clarke and Dawe style" bit built around a policy, institution, or current-events topic. Do NOT use this for stand-up monologue jokes, sketch comedy with more than two speaking roles, sitcom-style scenes with stage direction and physical comedy, or any request to reproduce an actual historical Clarke and Dawe transcript verbatim — this skill generates new satire, it does not retrieve or reconstruct existing scripts.

Mask a URL behind a custom domain for demos and recordings. Adds a trusted HTTPS reverse proxy so the browser shows a clean display domain with a green padlock while serving content from the real target URL. Handles /etc/hosts, mkcert certificates, and cleanup automatically. Triggers on: "domain mask", "mask domain", "mock domain", "proxy URL", "demo URL", "fake domain", "demo proxy", "mask URL for demo", "domain-mask".

TRIGGER for authoring UiPath Maestro Case plans as `<Name>.case.ts` with the reference-mode TypeScript builder SDK (`@uipath/maestro-builder-sdk/case`), compiling to `caseplan.json`, and running the `uip maestro case` check/compile/validate loop. Covers stages, tasks, rules, bindings, published-resource references, and brownfield decompile/edit/recompile. Flow builder authoring → uipath-maestro-flow; structural-core BPMN → uipath-maestro-bpmn. DO NOT TRIGGER for C#/XAML automation → uipath-rpa.

Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between database dialects (PostgreSQL, MySQL, SQL Server, Oracle).

Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option. Use when building Rust applications, solving ownership or borrowing issues, designing trait-based APIs, implementing async/await concurrency, creating FFI bindings, or optimizing for performance and memory safety. Invoke for Rust, Cargo, ownership, borrowing, lifetimes, async Rust, tokio, zero-cost abstractions, memory safety, systems programming.

Builds, optimizes, and debugs cross-platform mobile applications with React Native and Expo. Implements navigation hierarchies (tabs, stacks, drawers), configures native modules, optimizes FlatList rendering with memo and useCallback, and handles platform-specific code for iOS and Android. Use when building a React Native or Expo mobile app, setting up navigation, integrating native modules, improving scroll performance, handling SafeArea or keyboard input, or configuring Expo SDK projects.

Use when configuring Django to store static and media files on AWS S3 with django-storages. Invoke when working with the STORAGES setting, S3 buckets, presigned URLs, CloudFront, or boto3-backed file storage in settings.py. Configures the Django 4.2+ STORAGES dict, public/private custom backends, presigned GET/POST URLs, IAM policies, and S3 mocking for tests. Trigger terms: django-storages, S3, boto3, S3Boto3Storage, STORAGES, presigned URL, CloudFront, media files, collectstatic, AWS_STORAGE_BUCKET_NAME.

Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.

Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides.

Build, audit, improve, test, or prepare n8n community-node packages for npm and Creator Portal verification. Use for n8n node UX, credentials, node properties, community-package metadata, scanners, local node development, and verified-node releases; not for merely authoring or running an ordinary n8n workflow.

Use when launching cloud VMs, Kubernetes pods, or Slurm jobs for GPU/TPU/CPU workloads, training or fine-tuning models on cloud GPUs, deploying inference servers (vllm, TGI, etc.) with autoscaling, writing or debugging SkyPilot task YAML files, using spot/preemptible instances for cost savings, comparing GPU prices across clouds, managing compute across 25+ clouds, Kubernetes, Slurm, and on-prem clusters with failover between them, troubleshooting resource availability or SkyPilot errors, optimizing cost and GPU availability, or migrating an existing Slurm workload (converting sbatch scripts, salloc sessions, job arrays or srun invocations into SkyPilot task YAMLs, and mapping Slurm commands, directives and SLURM_* environment variables to their SkyPilot equivalents).

Enable a ggml operation in the OpenVINO GGUF frontend by adding or fixing an op translator. Use when conversion fails with "Translation for operation type GGML_OP_* is not implemented", when the user asks to add/implement/fix a GGUF or ggml op translator or an op_case, or when working on src/frontends/gguf/src/op/. Do NOT use for enabling a new model architecture (that is usually just a name in arch_registry.cpp), for wrong numerical output from an op that already converts, or for GGUF quantization format work.

Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.

Use this skill for Sprites — isolated, persistent cloud Linux environments from Fly.io with their own filesystem, URL, services, checkpoints, and network policy. Trigger it to create, list, exec into, or destroy sprites; to run builds, tests, or agents in a remote sandbox; to start long-running services and expose a preview URL; to snapshot and roll back state; to change outbound network rules; to call third-party APIs (GitHub, Slack, etc.) through the credential-injecting gateway; or whenever the user names Sprites, sprite-env, or sprites.dev. Works both from inside a sprite and from a machine outside one.

Manages stacked PRs and splits multi-part work into reviewable branches with gh-stack. Use for stack creation, viewing, edits, push, submit, sync, rebase, merge, or checkout; when asked to split or isolate work for review; whenever a user mentions a stack, branch layers, dependent PRs, or gh stack; or when a stack is checked out.

Run, configure, and troubleshoot OpenAI Codex CLI in non-interactive headless environments. Use for Codex automation in Bash or PowerShell, native Windows or WSL2, shell scripts, CI/CD, Docker, Kubernetes, remote servers, agent harnesses, or batch jobs; for constructing `codex exec` commands; selecting sandbox and approval modes; consuming JSONL events or structured output; resuming sessions; passing prompts through stdin; and handling failures caused by unavailable interactive input such as `request_user_input`.

Run, configure, and troubleshoot OpenAI Codex CLI in non-interactive headless environments. Use for Codex automation in Bash or PowerShell, native Windows or WSL2, shell scripts, CI/CD, Docker, Kubernetes, remote servers, agent harnesses, or batch jobs; for constructing `codex exec` commands; selecting sandbox and approval modes; consuming JSONL events or structured output; resuming sessions; passing prompts through stdin; and handling failures caused by unavailable interactive input such as `request_user_input`.

Survey a codebase's animation and motion code as a senior motion advisor, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when the user asks to "improve the animations", "audit the motion", "make this app feel better", or wants a roadmap of animation fixes rather than a review of a single diff.