Results for “ar-previews”

Use when a commit's changes are finished and about to be presented for review. Runs the checks that catch the objections the user would otherwise raise, before they spend time reviewing.

Read every ADR markdown file in docs/adr before making or reviewing decision-sensitive changes. Use when architecture, conventions, or tradeoffs are involved.

ADR Fleet

Review a ticket or PR through focused specialist lenses: scope, architecture, security, tests, AC coverage, and PR metadata.

Internal technical readiness drill assistant for release and handoff.

Use this skill for WebXR, AR previews, model-viewer, mobile sensors, permissions, fallback UX. Trigger when the task involves 3d web work related to XR AR Web Experiences, production implementation, audits, debugging, strategy, or validation.

Run an AI-readiness assessment on the current repository and generate a static HTML dashboard at reports/index.html.

Embed before/after screenshots and annotated images in pull request descriptions to help reviewers see visual changes without checking out the branch.

Fetch unread GitHub notifications for open PRs where review is requested from a specified team or opened by a team member.

Iterate on a pull request until actionable CI checks pass and high/medium review feedback is addressed, stopping at human approval, draft, or merge gates.

Run pre-deployment validation checks for Azure readiness, including configuration, infrastructure (Bicep or Terraform), RBAC role assignments, and managed identity permissions.

Runs a multi-perspective review of a pull request, including code quality, tests, and potential silent failures, then reports findings ranked by severity.

Run an AI-assisted PR code review using multi-layer lenses with confidence scoring.

Designing and evaluating AI/ML systems: prompt engineering, RAG design, LLM application patterns, AI safety, evaluation frameworks, MLOps, cost optimization. Use for AI pipelines or eval harnesses.

Guides VR/AR development with platform selection, comfort principles, performance targets, interaction patterns, and spatial design best practices.

Prepare release readiness notes, version checks, test checklist, and local issue drafts.

Manage your Radarr (movies) and Sonarr (TV series) media library from the terminal. Search and browse movies/series, add new content, check calendars, view queue and download history, inspect quality profiles, and trigger searches. Use when the user mentions Radarr, Sonarr, the *arr stack, adding a movie or series, checking the library, finding something to watch, what's in the queue, download history, upcoming releases, media server setup, or movie/TV automation.

Comprehensive code review using specialized agents — orchestrates code, comments, tests, errors, types, and simplify agents sequentially.

VR/AR development principles. Comfort, interaction, performance requirements.

Agent skill for swarm-pr - invoke with $agent-swarm-pr

已上线应用的本地证据生产就绪审计——上线前审查、合并后检查及事故后分析

Detect data staging activity before exfiltration by monitoring for archive creation with 7-Zip/RAR, unusual temp folder access, large file consolidation, and staging directory patterns via EDR and process telemetry.

Render the cited draft as an HTML preview styled like the brand's blog so the writer can review the article in browser before publishing.

Use when planning an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) campaign end to end — running the year backward from the early-June deadline through the two review rounds, the rebuttal, conditional-acceptance shepherding, the post-acceptance artifact evaluation, and the ACM Open Access camera-ready for the November Hong Kong conference.

Runs independent AI CLI reviewers over phase plans and merges their feedback into a REVIEWS.md file.

Produces a maintainer-grade review of a pull request or large contribution, explaining the change tutorial-style and delivering a polished HTML or Markdown report with a concrete merge recommendation.

Documents AI-built apps with architecture, permissions, secrets, and test coverage maps to make them reviewable before shipping.

Applies dialogue MA, portrait reframing, and loudness/sync QA to an interview or talking-head rough cut using canonical timeline metadata and a shared renderer.

Spec Craft

Eng manager-mode plan review. (gstack)

Red-team a PRD, roadmap, or strategy by attacking its load-bearing assumptions before reality does, ranking failure modes by impact, likelihood, and cheapness to test.

Runs a structured three-question lazy-check on significant output before submission, forcing root-cause analysis, alternative consideration, and outcome verification.

Simulates ARP spoofing attacks in authorized lab or pentest environments using arpspoof, Ettercap, and Scapy to demonstrate man-in-the-middle risks, test network detection capabilities, and validate ARP inspection countermeasures.