Skill for the Onboarding area of paddock. 41 symbols across 7 files.
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
Skill for the Onboarding area of paddock. 41 symbols across 7 files.
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。
Skill for the Integrations area of paddock. 25 symbols across 2 files.
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。
Skill for the Layout area of paddock. 55 symbols across 15 files.
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。
Skill for the Store area of paddock. 29 symbols across 4 files.
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。
Skill for the Observability area of paddock. 105 symbols across 26 files.
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。
Skill for the [id] area of paddock. 497 symbols across 165 files.
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。
Skill for the Workflow-contracts area of paddock. 51 symbols across 11 files.
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。
Skill for the Adapters area of paddock. 108 symbols across 22 files.
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。
Skill for the Panels area of paddock. 727 symbols across 76 files.
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。
Skill for the Dashboard area of paddock. 80 symbols across 16 files.
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。
Skill for the Github area of paddock. 23 symbols across 5 files.
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。
Skill for the Health area of paddock. 28 symbols across 6 files.
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。
Skill for the Chat area of paddock. 62 symbols across 10 files.
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。
Skill for the Governance area of paddock. 28 symbols across 23 files.
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。
Bun runtime, package manager, bundler, and test runner. Use when running scripts with bun, managing packages, serving HTTP with Bun.serve, querying databases with Bun.sql/bun:sqlite/Bun.redis, shell scripting with $, using S3/file I/O, writing tests with bun:test, bundling or compiling to executable, or using any Bun-specific API (spawn, glob, semver, FFI, workers, plugins, HTMLRewriter).
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。
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
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。
Read the project's knowledge record before answering from memory or from the files. Use before answering about the project's state, a number, a date, a decision, a source, a deadline or what was agreed - even a casual 'what's the situation with X' or 'is that quote still current'; before changing a recorded value; and whenever the opener or a grounding line names entries. After finding relevant IDs, prefer kpop context to read them with their declared dependencies and checks. Uses pull for concise readings or when the checked reader is unavailable, affects for changed inputs, and search when no ID is known. A missing id is not absence. Not for showing the record's page (the hub skill). Requests come in any language.
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。
Map existing materials into a first knowledge record, or investigate a subject's history in depth. Use whenever the user asks to map, survey, go through, reconstruct or investigate what already exists - folders of documents, decision records, meeting notes, emails, exports, code - or wants a starting record built from existing materials, even when the word 'record' is never said: consult this before listing or reading the files yourself, because a map has an agreed scope, a protocol and a report. Also, once, at a suitable moment, to offer the starting choices where a workspace has no record and the work is clearly ongoing - never on a greeting. Learning while working needs no map. Requests come in any language.
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 and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.
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。
Adaption AI SDK for synthetic data augmentation and dataset adaptation. Use when building data pipelines with the Adaption Python SDK, uploading datasets (local files, Hugging Face, Kaggle), running augmentation/adaptation jobs, configuring brand controls (hallucination mitigation, safety categories, length), recipe specifications (reasoning traces, deduplication, preference pairs, prompt rephrase), evaluating dataset quality, downloading results, or any workflow involving `pip install adaption`, `from adaption import Adaption`, Adaptive Data, or the adaptionlabs.ai API. Also trigger when the user mentions synthetic data generation for fine-tuning, dataset augmentation pipelines, DPO preference pair generation, or grounding-based hallucination reduction on training data.
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。
Scalingo is a European (French) Platform-as-a-Service for deploying and operating web applications, background workers, and managed databases. Use this skill whenever the user mentions Scalingo, wants to deploy an app to Scalingo, work with the scalingo CLI, provision addons (PostgreSQL, MySQL, MongoDB, Redis, OpenSearch, InfluxDB), configure review apps, manage the scalingo.json manifest or a Procfile, scale containers, set up log drains, migrate from Heroku, use the Scalingo Terraform provider, or target sovereign regions (osc-fr1, osc-secnum-fr1 on SecNumCloud infrastructure). Also trigger for "deploy a French PaaS", "HDS-compliant hosting", "SecNumCloud deployment", or questions about Scalingo's Heroku-compatible buildpack model.
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。
Design relational database schemas (and choose when to go NoSQL) that stay maintainable and fast. Use this skill whenever the user mentions tables, DDL, entities and relationships, normalization (1NF/2NF/3NF), primary and foreign keys, UUID vs bigint IDs, indexes (B-tree, composite, covering, partial), EXPLAIN, constraints (CHECK, UNIQUE, exclusion), transactions and isolation levels, migrations (Alembic, Prisma, Flyway, expand-contract, backfilling), or SQL vs NoSQL (MongoDB, DynamoDB, Cassandra, graph databases). Also trigger for "design the database", "model this domain", "which database should I use", or writing ORM models and migration files for PostgreSQL, MySQL, SQLite, or SQL Server.
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。
Plan, write, and maintain automated tests in any language, with worked examples in Python and JavaScript/TypeScript. Use this skill whenever the user wants to write or plan tests, apply TDD (red-green-refactor), structure unit tests with arrange-act-assert and given-when-then naming, choose between fakes, stubs, and mocks, set up dependency injection for testability, build integration tests with testcontainers, database seeding, or transaction rollback, write Playwright or Cypress end-to-end tests, use property-based testing with Hypothesis or fast-check, create pytest fixtures or factory_boy factories, review coverage or mutation testing, or triage flaky tests in CI. Also trigger for "test pyramid", "test trophy", "test isolation", "mocking", "snapshot tests", "golden files", "parametrized tests", "make the tests pass".
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。
Pull the latest GEO-SEO skill updates from the upstream repository. Compares installed files against the latest release, shows what changed, and updates all skills, agents, scripts, and schema templates in place.
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。