開発のスキル

Use when preparing Australian transaction coding and reconciliations before month-end close or BAS work.

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The shared Codex web-work inbox. Use when a coding agent needs browser work, provider account setup, OAuth or ecommerce portal work, npm publishing, or recovery of an incomplete Vault/account handoff delegated to Codex.

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This skill should be used when working with Python projects that use uv for package and project management. Use this skill for running Python scripts and CLI tools with `uv run`, managing dependencies, creating projects, handling virtual environments, and executing commands within isolated project environments. Essential for projects with pyproject.toml files.

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SQLAlchemy 2.x patterns for async FastAPI projects: models, sessions, queries, bulk operations, transactions, and Alembic migrations. Trigger: When writing models, queries, bulk operations, or DB-touching service code.

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Provides expert knowledge of Spring Boot conventions, Kotlin idioms, and MVC patterns for backend API development.

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。

Schedules reactive frontend states cleanly using entangle directives in PHP and JS.

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。

FastAPI conventions for REST APIs: routers, Pydantic v2 schemas, dependency injection, error handling, pagination, and project structure. Trigger: When writing any router, endpoint, schema, or dependency in a FastAPI project.

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。

Provides expert knowledge for designing, implementing, and managing REST API versioning strategies with deprecation workflows.

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Provides expert knowledge for building Astro 5+ sites with Islands Architecture, Content Collections, TypeScript, and performance-first rendering strategies.

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Configure a Rails project to work with Conductor (parallel coding agents)

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Provides expert knowledge for building Next.js 15+ applications with the App Router, TypeScript, Server Components, Server Actions, and TanStack Query.

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。

Multi-agent council for code review and architecture decisions

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Python development best practices: clean code, patterns, type hints, decorators, context managers, and architecture. Trigger: When writing Python code anywhere in the project.

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。

Python and Django conventions for multi-tenant SaaS POS projects: views, services, naming, JSON APIs, PDFs, and cart patterns. Trigger: When writing any view, service, API endpoint, or model code in apps/.

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。

Django ORM patterns for multi-tenant POS projects: efficient queries, bulk operations, transactions, and multi-schema upload paths. Trigger: When writing queryset logic, model saves, or DB-touching service code.

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。

社名・屋号・サービス名の候補を発音、意味、用途、画数から検討する。日本語筆順データを優先する根拠付きPython計数と、ユーザー提供の1〜120画の鑑定原文参照を行う。命名案の作成、比較、表記違いの検討、画数内訳の確認に使う。

Read data from Lyrion's SQLite databases — library stats, stored lyrics, album covers, recent plays. Use this whenever a task queries `library.db` or `persist.db`, adds or changes a statistic, or touches `services/database.py`. Covers the read-only connection model (RO open + `ATTACH persist.db`), the key tables, the `play_counts` view over the Alternative Play Count plugin, the single-flight stats cache, and why the app must never write to these DBs. Reach for it before writing any SQL against the Lyrion databases.

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Work on the dashboard's frontend — the vanilla JS/CSS page with no framework or bundler. Use this whenever a task touches `static/nowplaying.js`, `static/style.css`, the Jinja templates (`templates/nowplaying.html`, `_icons.html`), the accent-color tinting, the karaoke lyrics sync, the now-playing poll, or the empty-state mosaic / recent-plays pile. Covers how the page is wired, how it reads i18n and data from the server, the ESLint gate, and the Android bridge, so changes match the existing patterns.

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Query the Lyrion Music Server over its JSON-RPC API from the Flask app. Use this whenever a task needs live data from Lyrion — the now-playing track, player list, transport state, album art, or any `slim.request` command — or when adding a feature that reads from the music server. Covers the request format, the tag system, the shared cache, and the self-signed-TLS rules, so new calls match how `services/lyrion.py` already talks to the 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。

Structured code review through the shared OpenClaw agent-skills installation.

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Identifies non-coding RNAs (tRNA, rRNA, snoRNA, snRNA, riboswitches, sRNAs) using Infernal covariance-model search against Rfam, tRNAscan-SE 2.0 for tRNA, barrnap for rRNA, and ARAGORN for tmRNA, plus the small-RNA-seq boundary for miRNA and the transcript-assembly boundary for lncRNA. Covers the structure-conserved-not-sequence-conserved principle (why BLAST fails), GA-threshold and clan-competition correctness, tRNAscan-SE domain modes and pseudogene flags, rDNA copy-number collapse, and why homology annotation is a recall floor. Use when performing genome-wide ncRNA annotation, choosing the right tool for an RNA class, or interpreting ncRNA counts.

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Assigns GO terms, Pfam/InterPro domains, KEGG orthologs, EC numbers, and product names to predicted proteins using eggNOG-mapper (orthology), InterProScan (domain signatures), and KofamScan (KEGG), routing specialized functions to dbCAN/antiSMASH/AMRFinderPlus/SignalP. Covers the orthology-vs-domain-vs-homology paradigms, the annotation-error percolation cascade, domain-presence-is-not-function, GO IEA circularity in enrichment, evidence tiering, and bit-score/coverage thresholds. Use when adding functional annotation to predicted genes, choosing between eggNOG-mapper and InterProScan, or judging how much to trust a functional label.

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Identify tumor neoantigens from somatic variants with pVACtools (pVACseq/pVACfuse/pVACbind/pVACvector/pVACview) for personalized cancer vaccines and checkpoint biomarkers. Encodes the field's hard truth that binding prediction is the easy, near-solved part and single-digit-percent PPV lives downstream — so it centers clonality/CCF, HLA LOH (the silent invalidator), expression, proximal-variant phasing, agretopicity/foreignness quality, and the predicted->presented->immunogenic validation tiers. Use when nominating vaccine targets, ranking neoantigens, or building a tumor-to-candidate pipeline. Binding details in mhc-binding-prediction; ranking in immunogenicity-scoring.

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Annotates bacterial and archaeal genomes (isolates, MAGs, plasmids) with Bakta (active versioned databases, NCBI-compliant output) or Prokka (legacy), producing GFF3/GenBank/EMBL/FASTA with INSDC locus tags. Covers Bakta-vs-Prokka-vs-PGAP-vs-DFAST choice, light-vs-full database tiers, translation-table selection (11/4/25), archaeal and leaderless-gene caveats, the small-ORF blind spot, pseudogene-vs-phase-variation, the pangenome re-annotation trap, and submission compliance. Use when annotating a newly assembled prokaryotic genome, choosing an annotation tool, re-annotating a collection for pangenomics, or preparing annotations for NCBI/DDBJ submission.

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。