「base」の検索結果

Validate Rust code quality with rustfmt, clippy, cargo check, and security analysis. Use for Rust codebases to ensure idiomatic Rust code and best practices.

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。

Write a durable feature spec before touching code. Reads the codebase map, reads related models/migrations to ask technical questions (not generic ones), then produces a structured spec doc in docs/specs/. Designed to pipeline with /implementation --issue N. Use before any feature implementation.

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。

Stack-specific security implementation guidance (backend, frontend, database, infrastructure, operations) with auto-detection from your changes. Use when implementing a feature securely or hardening code as you write it. Trigger on "how do I secure this", "security best practices", "is this secure", "harden this". For scanning existing code use /security-verify.

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。

Post-deploy observability for production services — structured logging, RED metrics + Prometheus, Grafana dashboards, SLO-based alerting. Use when setting up monitoring or instrumenting a live service. Trigger on "add logging", "metrics", "dashboard", "alerting", "observability", "monitor this service".

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。

Run SQL queries against psql, BigQuery, or MySQL from the terminal, including natural-language-to-SQL and schema exploration. Use when analyzing data, inspecting DB state, or debugging tables. Trigger on "query the database", "SQL", "show me data from", "explore table".

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。

Detect technical debt — duplicated code, dead code, TODOs, and oversized functions across the codebase. Use at the end of a session or when auditing code hygiene. Trigger on "find tech debt", "any dead code", "duplicated code", "code hygiene", "techdebt".

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。

Processes all open Dependabot PRs sequentially — rebases if needed, analyzes for breaking changes and security issues, then merges or requests changes. Use when you want to handle pending Dependabot dependency 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。

Frappe Helpdesk implementation and customization guidance for ticket intake, SLAs, assignment, portals, knowledge base, notifications, and support workflows. Use when work touches the Frappe Helpdesk app or customer support operations.

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。

Frappe-native SQL and ORM guidance for `frappe.db`, Query Builder, `tab{DocType}` tables, permission-sensitive queries, and raw SQL review. Use when writing or reviewing database access in Frappe.

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。

Write balanced, evidence-based performance reviews for employees. Covers achievements, development areas, and goal setting using the SBI (Situation-Behavior-Impact) feedback model. Produces reviews that are fair, legally defensible, and growth-oriented. Use during annual or semi-annual review cycles. Do not use for disciplinary actions, PIPs, or compensation 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。

Rapidly map a new codebase, identify the runtime model, risk zones, and first high-value next steps.

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 Kanban flow metrics to identify bottlenecks and improve team throughput. Covers Cycle Time, Throughput, WIP, and Flow Efficiency using Little's Law and Theory of Constraints. Use when a team wants to optimize delivery flow or improve predictability. Do not use for sprint-based Scrum planning — use sprint-planning-assistant instead.

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 structured 3-scenario financial models (Base / Bull / Bear) for business planning or investment decisions. Sensitize revenue and cost drivers across scenarios, produce P&L summaries, cash flow bridges, and executive narratives. Aligns with FP&A 2.0 and CIMA Management Accounting standards. Use when leadership needs to understand the financial impact range of a decision. Do not use for statutory financial reporting or audit-ready financials.

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 agent when you need to systematically review existing GO annotations for a gene and make curation decisions based on literature evidence and functional analysis. This agent should be called after seeding the SPECIES/GENE/GENE-ai-review.yaml file, which seeds each annotation with `action: PENDING`; these should all be manually reviewed.

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 agent when you need to perform custom bioinformatics analyses on genes or proteins that go beyond standard database lookups. This includes situations where existing domain/family annotations from UniProt are insufficient, when you need to verify dubious annotations, or when you need to perform comparative analyses across gene sets. The agent creates reproducible analysis pipelines with proper dependency management and documentation.

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 or update a GitHub PR for this Flutter repository using gh CLI. Verifies the work with build-verify and pr-review, generates an inline PR description, commits pending changes when approved, pushes, and opens or updates the PR. Supports stacked PRs by asking for the base branch when detection is ambiguous. Use when the user says "create PR", "open PR", "push PR", or wants to submit their work for review.

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。

Customize a new project created from this Flutter template, including app identity, package name, platform cleanup, icons, splash screen, Firebase/secrets decisions, setup tool execution, code generation, and 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。

Use when building Django REST APIs with TurboDRF - model Meta configuration, role-based and field-level permissions, multi-tenant predicates, router wiring, management commands, settings, or troubleshooting

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 building RAG or LLM applications with LlamaIndex - data loaders, node parsing, vector stores, retrievers and rerankers, query engines, agents and workflows, streaming, or evaluation

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 setting up visual regression testing with Playwright - toHaveScreenshot baselines, masking dynamic content, handling animations, full-page and element screenshots, cross-browser runs, CI integration, VUDA MCP tooling, or debugging flaky visual diffs

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 SQLAlchemy 2.0 in Python - declarative models, queries, sessions, async engines, Alembic migrations, relationship loading strategies, N+1 detection, pool exhaustion, or 2.0 migration

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 validating and serializing Python data with Pydantic v2 - models, field and model validators, constrained and special types, TypeAdapter, discriminated unions, BaseSettings, or FastAPI integration

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。

Type-safe client-side routing for React with file-based routes, search params validation, loaders, and code splitting

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。

Unstyled accessible React component primitives

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。