Check Slack for important messages and activity. Use during daily planning or when user asks about Slack updates.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Check Slack for important messages and activity. Use during daily planning or when user asks about Slack updates.
日本語の概要は準備中です。原文の説明を表示しています。
Prioritize assumptions by risk and importance. Use after assumption mapping to decide what to test first.
日本語の概要は準備中です。原文の説明を表示しています。
Create structured records of decisions with expected outcomes, probabilities, and quit conditions. Use for important decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+). Covers retriever selection (VectorRetriever, HybridRetriever, VectorCypherRetriever, HybridCypherRetriever, Text2CypherRetriever, ToolsRetriever), external vector DB retrievers (Weaviate, Pinecone, Qdrant), retrieval_query Cypher fragments, query_params, filters, GraphRAG pipeline wiring (GraphRAG + LLM + prompt), all LLM providers (OpenAI, Anthropic, Gemini/VertexAI, Bedrock, Cohere, Mistral, Ollama), embedder setup, index creation, token usage tracking, Cypher 25 SEARCH clause, and LangChain/LlamaIndex integration. Does NOT handle KG construction — use neo4j-document-import-skill. Does NOT handle plain vector search — use neo4j-vector-index-skill. Does NOT handle GDS analytics — use neo4j-gds-skill. Does NOT handle agent memory — use neo4j-agent-memory-skill.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Neo4j command-line tools — neo4j-cli (modern unified CLI — Cypher via Bolt, schema inspection, Aura management, Docker containers, credential management, agent skill catalog install; install with curl -sSfL https://neo4j.sh/install.sh | bash), neo4j-admin (backup, restore, import, memory sizing), cypher-shell (ad-hoc queries, scripting, CI/CD), or neo4j-mcp (quick MCP server install). Does NOT cover Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades — use neo4j-migration-skill. Does NOT cover full MCP editor configuration — use neo4j-mcp-skill.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the server side of the diff fetches, renders, redirects to or validates a URL that input can influence - webhooks, link previews, import-from-URL, PDF renderers, OAuth/JWKS discovery, allowlist and blocklist checks
日本語の概要は準備中です。原文の説明を表示しています。
Use when writing or running Godot tests - gdUnit4 or GUT (whichever the repo has), unit tests on typed GDScript classes, scene runners for frames, physics, input and signals, headless CLI with --import first, reports and exit codes, and C# tests via gdUnit4Net or plain dotnet test.
日本語の概要は準備中です。原文の説明を表示しています。
Use when training, tuning, comparing or evaluating a model — choosing the cross-validation scheme, baselines, tuning inside CV, thresholds and calibration, per-slice metrics, feature importance and error analysis
日本語の概要は準備中です。原文の説明を表示しています。
Use when adding a use case, port, repository or adapter in a Go service — where each piece goes, how errors and transactions cross layers, and how to check the import direction
日本語の概要は準備中です。原文の説明を表示しています。
Use on every UI change - Atomic Design levels, reuse-before-build, correct placement, and import direction through the shared component library.
日本語の概要は準備中です。原文の説明を表示しています。
Use when optimizing, auditing, or preparing to ship web animations or rendering performance work: frame loops, scroll/viewport reveals, mount/unmount transitions, canvas/WebGL lifecycles, reduced motion, lazy rendering, and deferred off-screen work. Use for jank, per-frame allocations, forced reflows, render loops, animations that do not pause off-screen, content-visibility, requestIdleCallback, analyzing Chrome DevTools performance traces for animation or rendering issues, or choosing between browser-driven CSS/WAAPI, minimal JS, phase, and Motion/GSAP. Use when the user explicitly asks about phase APIs or behavior. Do not use during exploratory animation ideation, prototyping, visual iteration, or trying variants, even when the code already imports phase; wait until the user asks for performance guidance, an audit, production implementation, ship-readiness review, or about phase itself.
日本語の概要は準備中です。原文の説明を表示しています。
Builds per-repo code graphs in JSON and markdown-ready derived artifacts. Use when you need blast radius, symbol-level maps, import graphs, inheritance, or test links.
日本語の概要は準備中です。原文の説明を表示しています。
Use before changing PlainTab persistent storage, including localStorage keys, IndexedDB keys or record formats, `LS_VERSION`, `DB_VERSION`, `ptab_schema_version`, migration code, backup/import/export storage shape, wallpaper cache cleanup, or any task that may affect old users upgrading across versions.
日本語の概要は準備中です。原文の説明を表示しています。
Claude adapter for PlainTab storage, IndexedDB, localStorage, schema version, migration, cleanup, import/export, and old-user upgrade safety work.
日本語の概要は準備中です。原文の説明を表示しています。
Create, edit, validate, and import Monitors-as-Code YAML files. CLI-first; falls back to MC MCP tools, then manual validation.
日本語の概要は準備中です。原文の説明を表示しています。
Reconstruct Blender models from supplied reference sheets, branding templates, texture atlases, orthographic front/side/back/top views, or mascot/logo art where visual fidelity to the source is more important than a plausible generated object. Use when the user says the model must match a template, wireframe, texture pack, character sheet, mascot sheet, or brand asset exactly; also use after feedback like "does not look like the reference", "fit the texture 1:1", "wrong number of visible parts", or "compare against the template". Requires Blender MCP plus local Python with Pillow/OpenCV/numpy; pairs with blender-uv-texturing, wireframe-to-3d, blender-modeling, blender-materials, and blender-export.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever you learn something important during a conversation: a key architectural decision, a project-specific convention, a bug root-cause, a 3rd-party API quirk, or any fact that would help a future agent avoid re-doing the same research. Writes structured entries to the project's knowledge base so that context persists across conversations and agents.
日本語の概要は準備中です。原文の説明を表示しています。
Use this when creating, editing, or reviewing Python code — including type hints, docstrings, naming conventions, imports, error handling, and code structure.
日本語の概要は準備中です。原文の説明を表示しています。
Ingest external plans with conflict detection against project decisions before writing anything.
日本語の概要は準備中です。原文の説明を表示しています。
Import a GSD-2 (.gsd/) project back to GSD v1 (.planning/) format
日本語の概要は準備中です。原文の説明を表示しています。
Create, import, browse, and maintain design system components and tokens
日本語の概要は準備中です。原文の説明を表示しています。
Developing with Zotero: Web API v3 (read/write, file upload, sync, OAuth, item types/fields), the desktop client's JS API, plugin development (7-10), translators (web/import/export/search), and CSL/citeproc-js styles. Use when scripting Zotero or building or debugging a plugin, translator, or citation style.
日本語の概要は準備中です。原文の説明を表示しています。
원본 재무 데이터(엑셀·은행 CSV·카드 내역 CSV·영수증 이미지·세금계산서 PDF·카드명세서 PDF)를 표준 거래내역 13개 필드로 변환하는 스킬. PaddleOCR 로컬 처리로 영수증·세금계산서·카드명세서에서 거래 자동 추출, Level 2 민감정보 마스킹 적용.
日本語の概要は準備中です。原文の説明を表示しています。
한국 스타트업·1인 법인 대표·프리랜서·개인사업자를 위한 장부 자동 생성 진입점 스킬. 호출 시 5개 하위 스킬(jangbu-import·jangbu-tag·jangbu-tax·jangbu-dash·jangbu-jongso)을 번호·문자 메뉴로 제시하고, 입력 즉시 해당 스킬 인터뷰로 직행한다. 엑셀·5대 은행 CSV·7대 카드사 명세서 PDF·영수증·세금계산서 지원, macOS Vision/PaddleOCR 로컬 처리, Level 2 민감정보 마스킹.
日本語の概要は準備中です。原文の説明を表示しています。