TAM/SAM/SOM 시장분석, 경쟁자 비교, 타겟 페르소나, SWOT를 포함한 research.md를 작성합니다. 사용자가 '리서치', '시장조사', '경쟁분석'을 언급할 때 사용하세요.
Score 95/100
Drive an approved plan's browser-level (E2E) phases against the running app,
Score 85/100
AI agent that assists with Unity game development — sprite generation, code scaffolding, balance tuning, audio generation, in-game AI Director. Built to demonst
Score 85/100
Unity-based mini colony-sim-style game prototype, built using game-dev-agent. Portfolio piece demonstrating AI agent + game dev T-shape skill.
Score 85/100
Guides porting existing Android 2D apps to Meta Quest and Horizon OS — input adaptation, panel layout, and design requirements. Use when adapting a mobile Andro
Score 85/100
Upgrades Meta Quest apps to newer Horizon OS SDK versions — migration guides, deprecated API replacements, changelog. Use when updating SDK versions or fixing d
Score 85/100
Builds WebXR experiences for Meta Quest and Horizon OS using the Immersive Web SDK (IWSDK) — ECS architecture, Three.js integration, spatial UI. Use when creati
Score 85/100
Analyzes Meta Quest and Horizon OS VR performance using Perfetto traces — frame timing, CPU/GPU bottlenecks, render pass analysis. Use when profiling frame drop
Score 85/100
For 3P / EXTERNAL developers: guides interactive Horizon Platform SDK (PSDK) integration for Meta Quest and Horizon OS Android/Kotlin apps — analyzes the codeba
Score 85/100
MANDATORY pre-flight check before answering any question or writing any code related to Meta Quest VR headsets (Quest 2, Quest 3, Quest 3S, Quest Pro) or apps t
Score 85/100
Profiles Meta Quest and Horizon OS application CPU performance using simpleperf — workload classification, CPU hotspot recording, kernel overhead measurement. U
Score 85/100
Builds spatial Android apps for Meta Quest and Horizon OS with Meta Spatial SDK — ECS architecture, 2D panels, 3D objects, hybrid experiences. Use when creating
Score 85/100
Guides end-to-end Meta Quest and Horizon OS app submission to the Meta Horizon Store — build validation, VRC compliance, asset preparation, upload, and submissi
Score 85/100
Reviews Unity code targeting Meta Quest and Horizon OS for performance issues, rendering best practices, and common VR pitfalls. Use during code review or when
Score 85/100
Debugs Meta Quest and Horizon OS VR/MR applications using the metavr CLI — view logs, capture screenshots, diagnose common issues. Use when troubleshooting cras
Score 85/100
Sets up the Meta XR Simulator for testing Meta Quest and Horizon OS apps without a physical device. Use when configuring device-free testing for Unity or Unreal
Score 85/100
Provides the complete metavr (Meta VR CLI) reference for Meta Quest and Horizon OS development — installation, device setup, command discovery, MCP server mode,
Score 85/100
Diagnoses and fixes PermissionRequest hook issues when Bash triggers unexpected approval prompts. When called with arguments, treat the argument as the diagnost
Score 85/100
Every Abnormal Security threat, case, vendor, employee, and dashboard operation, plus a local threat store, ranked SOC triage, and one-shot client reporting. Tr
Score 80/100
Use when: writing, rewriting, or auditing acceptance criteria, definition-of-done lists, or user-story AC for quality: testable, observable, single, scoped, and
Score 80/100
The first real CLI for the Acronis Cyber Protect Cloud platform - every tenant, agent, and usage metric mirrored locally Trigger phrases: `acronis backup heal
Score 80/100
Use when the user asks to check Action1 patch status, triage vulnerabilities, find stale or offline agents, score endpoint risk, or report patch posture across
Score 80/100
Use when: auditing agent instructions, skill files, SKILL.md artifacts, prompt-packaged workflows, AI assistant instruction artifacts, custom agent modes, or re
Score 80/100
Use when the user asks to reconcile AppDirect marketplace billing, see which payments failed or stalled across every reseller company, find active-but-unbilled
Score 80/100
Use when: comparing two or more candidate architectures, designs, or technical approaches against weighted quality attributes: performance, consistency and corr
Score 80/100
Use when: reviewing, designing, implementing, or testing safe archive extraction for ZIP, TAR, tar.gz, tgz, package importers, backup restore, plugin/theme uplo
Score 80/100
Use when: surfacing implicit assumptions in a spec, plan, design, or estimate before work starts: data shapes, ordering, scale, auth context, environment, compa
Score 80/100
Every Atera RMM + PSA endpoint, plus a local SQLite mirror that answers fleet-health, SLA, and book-of-business questions no single API call can. Trigger phrase
Score 80/100
Audits a codebase to verify that an implementation matches a plan file. Use when you want to check if code changes made by any tool (Gemini, another AI, a devel
Score 80/100
Use when: reviewing, designing, implementing, or testing auth/security claim contracts for optional claims, JWT/OIDC/SAML/session/token claims, missing-vs-inval
Score 80/100
Use when the user asks to triage the Autotask service desk, find unbilled or uninvoiced time before a billing run, check contract burn or retainer run-out, pull
Score 80/100
Use when the user asks to check Axcient x360Recover backups across an MSP fleet - whose backups failed or went stale last night, who is breaching RPO, per-clien
Score 80/100
Use when the user asks to check what's down in Better Stack, find monitors that would page nobody, report incident MTTA/MTTR, see who's on call or where on-call
Score 80/100
Use when the user asks to triage Blumira findings across client accounts, see what changed in Blumira since the last sync, check detection-coverage drift versus
Score 80/100
Use when: designing, implementing, reviewing, or debugging Boost.Asio, asio, async I/O, boost::asio::awaitable, co_spawn, io_context, executor, strand, cancella
Score 80/100
Use when: designing, implementing, reviewing, or debugging Boost.Beast, beast::http, websocket, HTTP/1.1, parser, serializer, flat_buffer, tcp_stream, ssl_strea
Score 80/100
Use when the user asks to roll up Microsoft 365 posture across all their CIPP tenants (MFA, Conditional Access, Standards, BPA), find unused M365 licenses, flag
Score 80/100
Use when auditing or fixing Claude Code config drift — settings permissions, hooks, skill staleness, plugin connectivity, memory age, context token usage.
Score 80/100
Use when: reviewing, designing, or refactoring CMake build configuration, CMakeLists.txt, target-based usage requirements, PUBLIC PRIVATE INTERFACE propagation,
Score 80/100
Nastavení barev, redesign a výběr barevného schématu pro aplikaci. Použij vždy když uživatel chce: nastavit barvy, změnit barvy, vybrat barevné schéma, změnit d
Score 80/100
Use when: reviewing, designing, or evolving C++ library public headers and binary interfaces, including ABI stability, ABI breaks, ODR violations, noexcept cont
Score 80/100
Use when: reviewing, designing, implementing, or debugging C++ multithreaded code using std::thread, std::jthread, std::mutex, std::atomic, condition variables,
Score 80/100
Use when: designing, reviewing, or refactoring C++ error handling policy, exceptions vs std::expected vs error codes, exception safety guarantees (basic, strong
Score 80/100
Use when: reviewing, designing, implementing, or debugging C++ object lifetime, dangling pointers or references, iterator invalidation, reference invalidation,
Score 80/100
Use when: triaging, interpreting, or acting on AddressSanitizer, ThreadSanitizer, UndefinedBehaviorSanitizer, MemorySanitizer, or LeakSanitizer reports, includi
Score 80/100
Creates a Product Requirements Document through interactive brainstorming with parallel codebase and web research. Use when starting a new feature or product, b
Score 80/100
Sync your whole Datto BCDR fleet into local SQLite and answer the questions the per-appliance Partner Portal can't. Trigger phrases: `which datto backups failed
Score 80/100
Every Datto RMM API operation, plus a local SQLite fleet store and fleet-wide analytics no other Datto tool has. Trigger phrases: `datto rmm stale devices`, `wh
Score 80/100
Use when: deciding at design time whether to build, buy, or adopt a library, framework, service, or platform dependency: maintenance signals, API stability, loc
Score 80/100
Every Domotz endpoint, plus a local SQLite fleet mirror that answers cross-site questions. Trigger phrases: `which domotz sites are down`, `list offline devices
Score 80/100
Use when: a concrete defect, incident, review finding, PR review comment, test failure, or bug report suggests a class of equivalent defects across sibling fiel
Score 80/100
Use when: fact-checking factual claims, verifying citations/source support, checking draft/report accuracy, reviewing evidence quality, assigning supported/unsu
Score 80/100
Use when: designing failure behavior for an architecture or component design before implementation: per-dependency failure modes (slow, down, wrong, partial), d
Score 80/100
Use when: auditing code that builds filesystem paths from external input and then reads, creates, mutates, or deletes files under a trusted root. Detects traver
Score 80/100
Use when: planning fixes for a batch of review findings, clustering findings by shared root cause, deciding root-cause versus symptom-level fixes, ordering a fi
Score 80/100
Use when: assessing what a proposed fix or patch could newly break before it is pushed, tracing fix impact through callers, shared state, and contracts, checkin
Score 80/100
Use when the user asks to push usage counts into Gradient MSP Synthesize for billing reconciliation, see which accounts' counts drifted since the last push, con
Score 80/100
Every Hudu cmdlet, plus an offline SQLite mirror, cross-entity audits, and agent-native output. Trigger phrases: `hudu hygiene scorecard`, `audit hudu documenta
Score 80/100
Use when the user asks to triage Huntress incidents across client organizations, find coverage gaps or dark agents, trace an indicator's blast radius across the
Score 80/100
Use when: auditing AI instruction artifacts, prompts, prompt templates, LLM task prompts, agent instructions, skill files, SKILL.md artifacts, prompt-packaged w
Score 80/100