1,175 件 ・ 関連度順
概要と使いどころ
Use for non-trivial, design-bearing, or architecture-affecting work before execution planning. Creates or updates a versioned spec under planning/specs/active/ with design intent, alternatives, risks, and acceptance criteria.
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 and maintain CI/CD pipelines, containerization, Kubernetes manifests, and quality gates for this repository. Use when the user asks for Docker, Kubernetes, GitHub Actions/Azure DevOps pipelines, deployment, reliability, or static analysis workflows.
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。
Implement, organize, and test Rust modules in this repository following mandatory project organization and test discovery rules. Use when tasks involve Cargo crates, module structure, Rust refactors, or creation/fix of Rust tests including required error test coverage.
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。
Audit and remediate dependency/package vulnerabilities across .NET backend, frontend (npm/pnpm/yarn), and Rust projects with severity-based quality gates. Use when the user asks for SCA checks, dependency hardening, or release security gates.
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。
Audit and remediate dependency/package vulnerabilities across .NET backend, frontend (npm/pnpm/yarn), and Rust projects with severity-based quality gates. Use when the user asks for SCA checks, dependency hardening, or release security gates before build/package.
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 safe, deterministic git worktrees for large or risky workstreams using the repository-owned runtime helper and Windows-safe defaults.
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, implement, and stabilize automated tests (unit, integration, E2E) for .NET/C#, Rust, APIs, and frontend flows. Use when the user asks to create tests, increase coverage, fix flaky tests, or validate behavior changes.
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。
Mandatory final risk-focused review for any repository change. Checks security, architecture boundaries, test coverage, and release readiness before closeout.
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 and implement observability and SRE controls including SLO/SLI, OpenTelemetry instrumentation, alerting, dashboards, and incident readiness. Use when tasks involve telemetry coverage, operational reliability metrics, incident response, or runbook quality.
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。
Assembles the minimal context pack for a given task. Use when the task spans multiple domains or the context set has obvious redundancy. Do not trim required working context by default.
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。
Route tasks using the repository's static routing catalog and load only the minimal context pack. Use before execution when the task spans multiple domains or the correct instruction set is unclear.
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 active planning documents under `planning/active`, then define the execution slices, validations, specialist handoff, and closeout expectations. Use when the task is non-trivial, multi-step, or explicitly asks for planning.
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。
Sync shared repo assets into local ~/.github, ~/.codex, and ~/.claude, and apply MCP settings from the shared canonical runtime catalog. Use when runtime assets are stale or after onboarding a new machine.
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。
Extend dev-software-engineer with .NET/C# backend specialization for Clean Architecture, CQRS, EF Core, and production-ready API practices. Use when tasks involve ASP.NET endpoints, handlers, services, dependency injection, MediatR, migrations, or backend performance/resilience.
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 and sequence complex implementation work into deterministic, testable steps for this repository. Use when the user asks for planning, roadmap breakdown, execution strategy, effort estimation, or multi-step delivery coordination across domains.
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。
Implement and refactor frontend features using Vue and Quasar with repository architecture, theming, UX, and performance standards. Use when tasks involve components, composables, Pinia, routing, i18n/UI behavior, responsive layouts, or frontend clean architecture changes.
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 a minimal context pack and recommend the correct specialist path for token-efficient execution. Use when the task is non-trivial, spans multiple domains, or should reduce token usage before 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。
Create safe, deterministic git worktrees for large or risky workstreams. Use when tasks are complex enough to warrant isolation from the main working tree.
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 as the single visible starter and controller for workspace work that may change files, runtime assets, planning state, docs, settings, or governance. Normalize the request into the Super Agent lifecycle: intake, spec registration for non-trivial work, planning registration, specialist routing, execution, testing, review, closeout, and planning-state updates before implementation begins.
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 FIRST when someone asks for a new feature or a change to an existing one — before any schema, code or test. Works out what is actually being asked for, whether to build it or integrate a third party (Trustpilot, Stripe, Calendly and the like), where the data lives, who may do what, and what happens when the vendor is down. Produces a decision, then hands to feature-schema.
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 user wants to start tracking a local custom instruction file (like .agy/ANTIGRAVITY.md or .github/copilot-instructions.md) in SuperCtx. Requires a path argument.
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。
Meta-skill that orchestrates the discourse skill suite: routes between steel-man-argument, socratic-questioning, toulmin-argument-analysis, logical-fallacy-detector, bad-faith-rhetoric-detector, discourse-elision-analyzer, forensic-speech-structure, and productive-discourse-facilitator. Use when analyzing conversations, facilitating discourse, or operating as a dialogue copilot. Maintains mode (silent analysis, coaching overlay, active facilitator) and decides which skills to invoke based on conversation dynamics.
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。
Research AI coding assistant products, audiences, user stories, social proof, hacks, and unmet needs for apps like Cursor, Claude Code, Codex, Warp Code, Devin, Windsurf, GitHub Copilot, Cline, Aider, and homegrown agent stacks. Use when designing or positioning agentic developer tools, Port Daddy Agent Harbor, swarm consoles, background coding agents, or competitive/product research for AI software engineering. NOT for implementing the coding agent runtime, generic market research, or UX mockups without developer workflow evidence.
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。