godot-gdscript-patterns
신호, 씬, 상태 기계, 최적화 등 Godot 4의 주요 GDScript 패턴을 익혀보세요. Godot 게임을 제작하거나, 게임 시스템을 구현하거나, GDScript 모범 사례를 배울 때 활용하세요.
스킬 불러오는 중
스킬 불러오는 중
스킬 불러오는 중
SKILL DIRECTORY
설치 수와 최근 흐름을 기준으로 필요한 Agent Skill을 찾아보세요.
skills.sh API 기준방금 확인
신호, 씬, 상태 기계, 최적화 등 Godot 4의 주요 GDScript 패턴을 익혀보세요. Godot 게임을 제작하거나, 게임 시스템을 구현하거나, GDScript 모범 사례를 배울 때 활용하세요.
Use when a task needs secrets or key setup in a repo with .sops.yaml and secrets/<env>.env, or a pnpm secrets script.
Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filtering across many fields with variable combinations. Provides workflows for selecting the right search type, creating indexes, constructing queries, and optimizing performance using the MongoDB MCP server.
Parallel divergent ideation for coding agents. Spawns N isolated branches under different cognitive frames (regulator, biology, speedrunner, 10-year-old, $0 budget), scores, clusters, prunes traps, and deepens top survivors. Use on /adhd, "ADHD mode", brainstorm/ideate intents, or open-ended design, architecture, naming, API/SDK surface, and fuzzy-debugging decisions. Skip for syntax, lookups, bugs with known root cause, or closed phrasing ("quick", "standard", "canonical", "textbook"). Full pre-flight gate is in the skill body.
Azure Verified Modules (AVM) requirements and best practices for developing certified Azure Terraform modules. Use when creating or reviewing Azure modules that need AVM certification.
Create or update a Sumsub Proof-of-Address (POA) preset. POST `/resources/api/agent/poaStepSettings` to create new, PATCH same path to update (id in body), GET `/resources/api/agent/poaStepSettings/{id}` to read one back. TRIGGER when the user asks to "create / add / build / configure / update / edit a POA preset" or "PoA step settings", configure which proof-of-address document types are accepted (utility bills, bank statements, tax bills, etc.), set validity periods per provider type, enable POI-as-POA (accept identity doc as proof of address), tune the cross-validator (name/address fuzzy match between POI and POA), or add per-country POA overrides. SKIP for attaching a preset to a level (set `poaStepSettingsId` on the level instead, via `sumsub-create-level`), or for non-POA presets (cross-check presets, permission presets, etc.).
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Use when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing, multisite, and scripting/automation with wp-cli.yml.
Validates that the app brief aligns with and solves the defined problem
Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managing multi-region or multi-environment infrastructure, or troubleshooting Terraform Stacks syntax and structure.
Make Sentry stack traces readable — upload source maps for JavaScript/TypeScript, or debug files for native and mobile (dSYM, ProGuard/R8, NDK symbols, Dart obfuscation maps, .NET PDBs). Use when frames in Sentry show minified names, bundled paths, hex addresses, "unknown", or method names with no file/line, instead of your original source.
Finds data scientists and ML engineers to recruit using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find data scientists on Twitter for recruiting, discover machine learning engineers or AI researchers to hire from X, find data analysts or ML practitioners by specialization on Twitter, identify NLP computer vision or LLM engineers via social signals, find data science professionals open to work on Twitter, build a data science talent pipeline from social, or find researchers posting about job opportunities. Returns handle, name, ML specialty (from bio/tweets), stack (Python/R/TensorFlow), follower count, and open-to-work signals. Ideal for ML engineering hiring managers, AI research labs, and data-driven startups.
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Add, replace, or remove tags on a Sumsub applicant profile via the public API — `POST /resources/applicants/{applicantId}/tags/add` (additive), `POST .../tags` (overwrite the full set), `DELETE .../tags` (remove), read-back via `GET .../one`. TRIGGER when the user asks to "tag / untag an applicant", "add / remove / clear applicant tags", "label an applicant profile", or "replace an applicant's tag set". SKIP for transaction tags, tag definitions with scoring weights, or applicant risk assessment (use `sumsub-create-kyt-rules`), for automated tagging inside verification workflows (use `sumsub-create-workflow`), and for subscribing to tag-change webhooks (use `sumsub-manage-webhooks`).
Core DQL syntax, pitfalls, query patterns, and query optimization. Load to write, build, fix, or OPTIMIZE a DQL query — prevents syntax errors and makes queries faster, more efficient, and cheaper (less data scanned = lower query consumption/cost per run). Covers fetch commands, data models, field namespaces, time alignment, entity/smartscape patterns, metric discovery, and performance/cost optimization (filter early, bucket filters, short time ranges, field selection, sampling, cardinality). Trigger: \"write/build/fix a DQL query\", \"DQL syntax\", \"query logs/spans/metrics\", \"create a timeseries\", \"optimize my DQL\", \"make my query faster/cheaper\", \"reduce DQL cost/consumption/scanned data\", \"keep DQL cost under control\". Do NOT use to explain an existing query or answer product questions. For MONITORING a tenant's ACTUAL query consumption/billing (how much queries cost, who scanned most, cost trends) use dt-platform-costs — this tunes the query text, not billing data.
페이지 제목, 메타 설명, 정규 URL, 오픈 그래프 태그, 트위터 카드, 파비콘, JSON-LD 구조화된 데이터, 로봇 지시문 등 HTML 메타데이터를 점검하고 수정합니다. SEO 메타데이터를 추가하거나, 소셜 공유 미리보기를 수정하거나, 오픈 그래프 태그를 검토하거나, 정규 URL을 설정하거나, 올바른 메타 태그가 필요한 새 페이지를 공개할 때 사용하세요.
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QA test a live website with Firecrawl browser and scrape evidence. Use when the user wants exploratory QA, form testing, navigation/link checks, responsive checks, performance observations, bug reports, or a pre-launch quality review.
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.