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概要と使いどころ
Automated Planning utilities for loading PDDL domains and problems, generating plans using classical planners, validating plans, and saving plan outputs. Supports standard PDDL parsing, plan synthesis, and correctness verification.
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Analyzes 3D mesh files (STL) to calculate geometric properties (volume, components) and extract attribute data. Use this skill to process noisy 3D scan data and filter debris.
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。
Transform research into Opportunity Solution Tree (Teresa Torres method). Map outcomes, opportunities, solutions, and experiments.
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 structured records of decisions with expected outcomes, probabilities, and quit conditions. Use for important decisions.
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 end-user needs to the full value chain, identify core value generators, and highlight vulnerabilities.
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 competitors using Porter's four-component model - drivers, assumptions, strategy, capabilities.
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, review, and refactor Neo4j graph data models. Use when choosing node labels vs relationship types vs properties, migrating relational/document schemas to graph, detecting anti-patterns (generic labels, supernodes, missing constraints), designing intermediate nodes for n-ary relationships, enforcing schema with constraints and indexes, or assessing an existing model against graph modeling best practices. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle Spring Data Neo4j entity mapping — use neo4j-spring-data-skill. Does NOT handle GraphQL type definitions — use neo4j-graphql-skill. Does NOT handle data import — use neo4j-import-skill.
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。
Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph. Use when chunking PDFs, HTML, plain text, or Markdown; extracting entities and relationships from text with an LLM (SimpleKGPipeline, neo4j-graphrag); loading JSON via apoc.load.json; building Document→Chunk→Entity graph structures; or connecting LangChain/LlamaIndex document loaders to Neo4j. Covers neo4j-graphrag SimpleKGPipeline, LLM Graph Builder web UI, entity resolution, chunking strategies, and graph schema design for RAG pipelines. Does NOT handle structured CSV/relational import — use neo4j-import-skill. Does NOT handle GraphRAG retrieval after ingestion — use neo4j-graphrag-skill. Does NOT handle vector index creation — use neo4j-vector-search-skill.
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 Spring Boot applications with Neo4j using Spring Data Neo4j (SDN 7.x/8.x) — @Node entity mapping, @Relationship, @RelationshipProperties, Neo4jRepository, ReactiveNeo4jRepository, @Query annotations, application.yml configuration, projections, Neo4jClient, Neo4jTemplate, transactions, auditing, or Spring AI Neo4jVectorStore vector search. Does NOT handle raw Java driver code without Spring — use neo4j-driver-java-skill. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle driver version upgrades — use neo4j-migration-skill.
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 diff changes a workflow with states, money, credits, quotas, approvals, invites, coupons, counters or expiry - skipped or replayed steps, check-then-act races with real impact, negative or overflowing quantities, partial-failure rollback, fail-open defaults, and legitimate features (export, import, search, preview, invite) used against their own rules
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 adding or changing tuning values, items, enemies, abilities or levels - put them in the engine's data assets (ScriptableObject, Resource, DataAsset/DataTable, JSON/RON) with validation and stable IDs, keep runtime state out of shared data, inject services instead of singletons, and test data invariants.
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 Unreal's Gameplay Ability System - when GAS is worth it, where the AbilitySystemComponent lives and how it is initialised on server and client, AttributeSets with correct clamping and replication, GameplayEffects and execution calculations as data, abilities with commit/end, gameplay tags, prediction, and testing.
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 in a Unity project that uses Entities (DOTS) or when a task needs thousands of simulated objects - when ECS is worth it, components/bakers/ISystem with IJobEntity and Burst, entity command buffers for structural changes, native memory rules, and testing systems in a test World.
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 touching anything that runs per frame, adding entities/effects at scale, or answering a stutter/frame-drop report - frame budgets per target FPS, per-system split, the profiler per engine, before/after numbers, and threshold tests.
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 writing tests for data or ML code — what to test at each layer (transforms, schemas, properties, pipeline smoke, model-quality thresholds, determinism and parity), how to build small synthetic fixtures, and what not to test
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 modelling a rich domain in Java - SOLID principles, encapsulated entities that enforce their own invariants, and value objects over 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。
Guide for using KimiX API utilities covering kimix, kimix.utils, kimix.base, kimix.dag, kimix.network, kimix.server, kimix.parser, kimix.cot, kimix.retrieval, kimix.summarize, and kimi_agent_sdk.
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。
Guide for creating effective skills. Use when users want to create or update a skill that extends agent's capabilities.
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。
Optimize Docker images with multi-stage builds, distroless bases, BuildKit cache mounts, multi-arch builds, compose watch, security hardening (non-root, seccomp, capabilities drop), and vulnerability scanning via docker scout/trivy. Use when user asks to write a Dockerfile, optimize image size, set up docker-compose, debug containers, harden container security, or scan for CVEs. Do NOT use for Kubernetes deployments (use kubernetes), CI/CD pipeline design (use ci-cd), or Terraform (use terraform).
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 comprehensive design systems, brand identities, and UI component libraries. Use when the user says "create design system", "build brand identity", "design UI components", "generate design tokens", "create figma specs", "review my design", "analyze design trends", "audit accessibility", "convert design to code", or "create presentation deck". Covers 10 specialized roles from system architecture to executive presentations.
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Runs security audits on codebases — full scans, diff reviews, threat models, vulnerability triage, remediation guidance, and finding tracking. Activate when the user says "security scan", "audit this repo", "review this PR for security", "threat model", "triage vulnerabilities", "fix this vuln", or "track findings".
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。
Creates database table with full Kotlin synchronization (SQL migration → Table → Entity → Repository → Tests). Use when adding new database tables or entities.
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 a live web app with Playwright, extract all features, generate PRD/epics/stories with priorities and dependencies, export to Notion. Checks required MCP servers before starting.
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Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
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。