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概要と使いどころ
Plan and implement infrastructure, containers, CI/CD, deployment safety, observability, and rollback changes. Use for Docker, IaC, cloud runtime, Kubernetes, pipeline, deployment, or operational reliability work. Does not read dotenv files or approve/release deployments.
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 RoutIR — call a running endpoint with the client, stand up a local server that mixes locally-hosted services with services proxied from a remote master server, and extend RoutIR with new bi-encoders, rerankers, and document collections by writing a small config (and optionally one Python file referenced via `file_imports`). No checkout of the routir source is required.
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 connect, set up, or configure Fusionaly in their AI client, or when the fusionaly MCP tools are missing. Verifies the Fusionaly URL and agent key, then adds the MCP server to Claude Code, Codex, Cursor, Gemini CLI, or another client.
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 diagrams and visualizations using Mermaid.js v11 syntax. Use when generating flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, user journeys, timelines, architecture diagrams, or any of 24+ diagram types. Supports JavaScript API integration, CLI rendering to SVG/PNG/PDF, theming, configuration, and accessibility features. Essential for documentation, technical diagrams, project planning, system architecture, and visual communication.
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。
Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.
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。
DraftForge test infrastructure for writing backend unit tests, Playwright E2E tests, and managing test data population. This skill should be used when writing new tests, adding test fixtures, creating populate functions for new features, adding Playwright E2E specs, using login/auth fixtures, creating test users/orgs/leagues/tournaments, or understanding the test data architecture. Covers backend Django tests via Docker, Playwright config (projects, workers, sharding), test auth endpoints that expose backend login to frontend, and feature-isolated test data patterns.
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。
PostgreSQL performance optimization guidelines from Supabase. Apply when writing SQL, designing schemas, configuring RLS, or optimizing database performance.
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 verified improvement suggestions from eval-core analysis to omcustom configuration
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。
Parameterized evaluator-optimizer loop for quality-critical output with configurable rubrics
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 project and auto-configure agents, skills, rules, and guides
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。
Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI 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。
Install and configure PostHog analytics SDK in React Native applications, including event tracking, feature flags, user identification, and error tracking. Use when the user needs to add PostHog analytics, session recording, or feature flags to a React Native app.
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。
Scan the repository for hardcoded secrets, exposed API keys, insecure network configurations, and vulnerable dependencies. Use when the user asks for a security audit, secret detection, credential scan, vulnerability check, or wants to find leaked tokens in the codebase.
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。
Prepare, execute and verify authorized Fusion CAD changes using resolved entities, explicit units and state-bound plans. Use for reviewed parameter, sketch, feature, assembly or configuration 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。
Deterministically score comparable imported review-run lanes with root-cause metrics and uncertainty. Use only when the user explicitly asks to benchmark normalized local review runs or use the bundled synthetic fixture.
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。
Configure and diagnose Fusion interoperability, transport selection, scoped profiles and qualification. Use for setup or connection problems, not design edits.
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。
Inspect an explicit Fusion design, parameters, geometry, references, configuration and health without editing it. Use for model understanding or engineering audits.
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。
Initialize or safely upgrade a processor project's root AGENTS.md from a maintained baseline. Use when starting a processor project, adding project-level Agent collaboration rules, or comparing an existing AGENTS.md with the package baseline. This skill only handles AGENTS.md; it does not scaffold documentation, inspect or configure environments, install tools, or modify processor source.
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 asks about Codex Rules behavior, injected project rules, supported rule file locations, matching, or environment configuration.
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。
Fallback for general coding work that does not match any specific sextant sub-skill. Use for lightweight tasks: config changes, style fixes, utility functions, one-off scripts, or tasks too small to warrant a dedicated workflow. All dedicated sub-skills take priority over this one — check these first: sextant:fix-bug (broken behavior), sextant:debug (unknown bug location), sextant:add-feature (new functionality), sextant:modify-feature (changing existing behavior), sextant:review-code (evaluating code), sextant:write-tests (test coverage), sextant:refine-requirements (ambiguous scope), sextant:plan (multi-step sequencing), sextant:ship (release prep), sextant:migrate (cross-module upgrade), sextant:security (vulnerability audit). Only use this skill when none of the above match.
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。
First-run setup wizard for the Recruiter Skills Pack. Creates config, verifies API keys, shows available skills.
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 skill whenever the user asks to generate, edit, inpaint, restyle, or create bitmap images through OpenAI's Responses API image_generation tool from Codex. This skill calls the Responses API, saves generated base64 image results to files, uses no npm or pip dependencies, works on Linux/macOS/Windows with either Node.js 18+ or Python 3, and reuses Codex's configured API base URL, model, and key instead of asking the user for credentials.
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。
Coordinate eval, benchmark, load-test or batch campaigns on authorized SSH hosts or short-lived rented hosts, with isolated jobs, configured-path canaries, telemetry and evidence. Use manage-remote-resources for paid resource ownership and run-remote-builds for build-only offload.
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。
Scientific model and eval tuning loop for prompt/skill/system-prompt changes, model configuration, runtime options, and local/Ollama model sizing or environment variables. Use when tuning eval performance, comparing local or remote models, improving tool-use behavior, reducing timeouts/loops, or deciding whether an eval optimization is worth keeping.
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。