617 件 ・ 関連度順
概要と使いどころ
Analyze and categorize Bluesky accounts by topic using keyword extraction. Use when users mention Bluesky account analysis, following/follower lists, topic discovery, account curation, or network 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。
Scans a codebase and generates a self-contained HTML service-design journey map — NN/g combined customer journey + service blueprint format. Use when the user wants to map user journeys, create journey maps, build service blueprints, or understand user flows from code. Prompts for codebase path if not supplied. Works with any tech stack.
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。
Nexscope Ozon Russia category drill-down product list by Russian category path. Returns all products in a category with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for category bestseller mining, blue-ocean insight discovery, category ranking analysis, brand landscape observation. Trigger when the user mentions Ozon category drill-down, Ozon category products, Ozon blue-ocean mining, Ozon category bestsellers, Ozon category ranking, Ozon subcategory structure, Ozon niche SKUs, Nexscope category, Ozon category drill-down, Russian marketplace niche, Ozon niche mining, Ozon subcategory bestseller. Also trigger when the intent is to view all products and their sales/price/ranking performance under an Ozon category path, even without explicitly mentioning Nexscope.
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。
Query and analyze Amazon ABA (Brand Analytics) search term data, covering 15 marketplaces with nearly 3 years of weekly data. Trigger when the user mentions ABA data, Amazon search term analysis, keyword mining, search ranking trends, market opportunity analysis, seasonal keywords, high-click low-conversion analysis, blue ocean keyword discovery, competitor keyword analysis, ABA data, search term report, keyword mining, search ranking trends, blue ocean keywords, click share, conversion share, seasonal keywords, market opportunity analysis, competitor keywords. Even if the user does not explicitly mention "ABA", if their need involves Amazon search term data and ranking analysis, this skill should also be triggered.
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。
Generates engineering-standard drawings (P&ID, SLD, floor plans, isometric) with ISA-5.1 and IEEE symbol libraries in SVG/DXF format. Activates for drawing generation, diagram creation, blueprint packaging, and output formatting from verified engineering calculations.
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。
Bluesky Jetstream Firehose 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。
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
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。
Flask web framework conventions: app factory pattern with create_app(), Blueprint registration with url_prefix, MethodView for class-based API views, Marshmallow schema validation, WTForms for HTML forms, Flask-Login for session auth, flask-jwt-extended for stateless API auth, Jinja2 template conventions, error handlers, and extension initialization. Activated automatically by flask-plugin/stack.md. Use this skill to: - Structure Flask applications with the app factory and per-feature Blueprints. - Validate JSON request data with Marshmallow and HTML forms with WTForms. - Implement session-based auth with Flask-Login or token auth with flask-jwt-extended. - Render Jinja2 templates safely or return JSON responses for API mode. - Register global error handlers for consistent error responses. Do NOT use this skill for: - SQLAlchemy ORM model patterns and Flask-Migrate — see flask-plugin:sqlalchemy-patterns. - Python language idioms — see python-foundation:python-conventions. - Testing patterns — see python-foundation:pytest-testing.
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。
Schedule social posts to any of 30+ providers via a running postiz instance (hosted at api.postiz.com or self-hosted). Use this skill whenever someone wants to post, schedule, or publish a draft to LinkedIn, Reddit, Bluesky, Mastodon, Threads, Instagram, TikTok, YouTube, Pinterest, Discord, Slack, or any non-Twitter social channel. ALWAYS chain content-atomizer first for platform-specific copy — this skill is a distribution layer only, it does not rewrite copy. For Twitter/X threads, use typefully instead (better thread UX). Triggers: "post to linkedin", "post to reddit", "post to bluesky", "post to mastodon", "post to threads", "schedule via postiz".
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。
"Apply Blue Ocean Strategy to create uncontested market space through value innovation. Use this skill when the user needs to differentiate beyond price competition, find new market opportunities, or redesign a product's value proposition using the Strategy Canvas and Four Actions Framework (Eliminate-Reduce-Raise-Create). Also use when the user says 'how do we stop competing on price', 'create a new category', or 'escape the red ocean'.".
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。
Analyze competitors using Blue Ocean Strategy's ERRC Grid and Strategy Canvas (W. Chan Kim and Renee Mauborgne) to identify uncontested market space, not just who is better on the same axes. Produces an ERRC Grid, Strategy Canvas, positioning matrix, messaging comparison, and differentiation map. Use when the user asks for competitive analysis, competitor research, "how do we compare to X", positioning vs competitors, market landscape, "analyze our competition", "where is the blue ocean", or wants to update competitor docs. Writes to knowledge/markets/competitors.md. For a lightweight competitor summary in the knowledge base, see brand-context. For positioning against them, see positioning-doc.
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。
White-box security audit. Blue-teamer and lead red-teamer run in parallel isolation for an independent first pass — neither sees the other's output during reconnaissance. A synthesis step categorizes findings into four prescriptive buckets (anchoring-suppressed, convergent, blue-flagged-unverified, divergent), producing a unified target list. Focused red-teamers then deep-dive each target. Iterates when exploit chains are discovered. Heavy and thorough by design. Advisory only — produces findings and proposes tickets; does not implement remediation.
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。
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
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。
Atlassian Template and Files Creator/Modifier expert for creating, modifying, and managing Jira and Confluence templates, blueprints, custom layouts, reusable components, and standardized content structures. Use when building org-wide templates, custom blueprints, page layouts, and automated content generation.
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。
When expanding a one-line idea into the 12-block Cinematic Scene Blueprint — optional dialogue + ambient. Triggers 'expand this scene', 'blueprint for X'. 11-block refine → video-director.
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。
All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). Also covers auditing an existing composition's choreography (animation map) and 24 named text-animation effects. HyperFrames-native: single paused timeline, seek-safe, deterministic.
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。
간결한 plan을 사용자와 합의한 뒤, feature(use case) 하나를 RGB(Red→Green→Blue) 사이클로 끝까지 자율 구현하는 오케스트레이터. 문제 정의·기능 분해·완료조건(programmer test) 합의까지는 사용자와 피드백을 주고받고(인터랙티브), 합의 후 구현은 그 feature의 모든 test에 대해 Red 전체→Green 전체→Blue 전체 3-phase로 피드백 없이 끝까지 진행하고, feature(use case) 전체를 phase마다 하나씩 최대 3개 커밋(reviewable-commits Why-body 포함)으로 남긴다(자율). superpowers의 장황한 spec/plan 대신 개발에 맞는 간결 포맷을 쓴다. "기능을 TDD로 끝까지 구현", "plan 합의하고 자율 구현", "feature 단위 RGB", "use case TDD로 짜줘", "/tdd-feature" 요청 시 반드시 사용. 후속 "이어서", "다음 feature", "재개", "다시 진행"도 처리. 단, 단일 test의 step-wise(매 단계 피드백) RGB는 /tdd-rgb, plan 문서만 작성하고 끝낼 때는 /tdd-plan이 적합.
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。
ScalarDB Cluster および ScalarDB Analytics のアーキテクチャ、サイジング、構成を見積もるスキル。 性能要件、可用性要件、クラウド環境からScalarDB Cluster Pod数、Kubernetes構成、 バックエンドDB、API Gateway、監視システム等の全体構成を見積もる。 ScalarDB Analyticsを使用する場合はEMR/Databricksのサイジングも含む。 使用タイミング: - 「ScalarDBのサイジングを見積もりたい」「ScalarDB環境を構築したい」 - 「ScalarDB Clusterの構成を決めたい」「ScalarDBの費用を算出したい」 - 「開発/テスト/ステージング/本番環境のScalarDB構成」 - CI/CD、Blue/Green、Canary Deploymentを含む本番環境設計 - 「ScalarDB Analyticsを使いたい」「分析クエリ環境を構築したい」 - 「EMR/Databricksのサイジングを見積もりたい」 出力: Markdown形式の見積もり結果 + HTML形式のレポート 費用: USD/JPY両建て（為替レート明記）
Operational guide for the NV oOS assistant export/import track — the canonical nvoos-assistant bundle format (v1), the shared portability engine, its five surfaces (WP-CLI, REST, admin UI, AI tools, backup provider), the Pro blueprint exporter, credential-redaction rules, legacy/blueprint import compatibility, test conventions, and the Content Graph port checklist. Use when extending or debugging assistant export/import, adding a surface, changing the bundle schema, fixing round-trip fidelity, or continuing the portability track ("continue the portability plan", "add assistant export to X").
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。
Applicot ノベルプロジェクトの雛形を作成する。blueprints/directories.md に基づいたディレクトリ構造・ SOUL.md・CLAUDE.md・.mcp.json・初期データファイルを生成する。 使用タイミング: 新しい小説プロジェクトを始めるとき、「小説を作りたい」「ノベルプロジェクトを初期化したい」 「init novel」「scaffold」などと言われたとき。novels/ は .gitignore 済みでも問題なく作成する。
既存のノベルプロジェクトを最新の Applicot ディレクトリ構造にマイグレーションする。 blueprints/directories.md を正とし、不足ディレクトリの作成・ファイルの再配置・ テンプレート再生成を安全に実行する。フェーズ間の構造変化にも対応。 使用タイミング: Applicot のアップデート後にノベルプロジェクトを最新構造に合わせたいとき、 「migrate」「マイグレーション」「ディレクトリ構造を更新」「novelを最新化」などと言われたとき。
Senior engineering analyst for code review, plan review, and automation review. Use when: (1) "review this", "analyze the code", "check this plan", (2) After implementation to verify quality, (3) "is this good enough?", (4) Before marking a task complete, (5) Reviewing a blueprint from /architect, (6) Reviewing output from /refinery. Four-lens review: architecture, code quality, reliability, performance. Reads from system/blueprints/ and source code. Outputs to system/reviews/.
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。
Imports FBX meshes into CARLA on UE 5.8 as spawnable props — drives the editor headlessly to import the mesh, derives the prop size from its measured bounds, and registers it in PropParameters.json so it appears in the blueprint library as static.prop.<name>. Handles the FBX unit-scale problem, verifies the result against a running server, and can revert cleanly. Use when the user asks to "import a prop", "add a custom mesh/object to CARLA", "make my model spawnable", or a prop imports but never shows up in the blueprint 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。
Installs Scenic, the probabilistic scenario description language, for the CARLA in use — pip installing it into the same interpreter that holds the CARLA client, optionally cloning the upstream repo for the example scenarios the wheel does not ship, and verifying that the `scenic` CLI, the client and Scenic's version-keyed blueprint table all agree. Use when the user asks to "install Scenic", "set up Scenic", "download Scenic", "pip install scenic", wants to run `.scenic` files, or has a Scenic whose model import or blueprint lookup fails.
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。