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Found 491 Skills
Write Project Guardrails, i.e. project engineering specifications. Applicable scenarios: when you need to define frontend, backend, API, data, security, operation and maintenance, and release standards during new project launch, tech stack change, multi-team collaboration, incident review, or code specification drift.
Collaborative problem-solving protocols: write technical specifications (spec, or alspec), create implementation plans (plan, or alplan), or use Align-and-Do Protocol (AAD). Also generates PR/MR descriptions (aldescription).
OpenAPI/Swagger expert for API specification design, validation, and code generation
Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validation Use when: User requests involve requirements analyst tasks.
Create git commits following the Conventional Commits v1.0.0 specification (conventionalcommits.org). Use when the user asks to commit changes, says "/conventional-commit", or wants a well-structured commit message. Triggers on requests like "commit this", "commit my changes", "create a commit", or any git commit workflow. Analyzes staged/unstaged changes and produces compliant commit messages with proper type, scope, description, body, and footers.
Generates high-quality Gherkin (BDD) scenarios from functional requirements using a two-agent iterative cycle: a generator agent that creates/modifies the Gherkin and a reviewer agent that validates it and proposes improvements. The cycle repeats automatically until the Gherkin passes review. Use this skill whenever the user mentions: "generate Gherkin", "BDD scenarios", "Gherkin test cases", "Feature/Scenario/Given/When/Then", "requirements to Gherkin", "BDD specifications", or asks to transform functional requirements into behaviour tests. Also applies when the user brings a requirements document and wants test cases, acceptance criteria, or user stories with executable examples.
Audit skill SKILL.md files for compliance with the agentskills.io specification. Checks frontmatter fields (name, description, compatibility, metadata, argument-hint) and metadata sub-fields (author, scope, confirms). Use when adding new skills, reviewing skill quality, or ensuring all skills follow the spec. Triggers: "audit skills", "check skill spec", "skill compliance", "are my skills up to spec", "/claude-skill-spec-audit".
Use this before touching code when you have a requirement for a specification or multi-step task
Fetches up-to-date documentation for Cesium, CesiumJS, Cesium Viewer, 3D Tiles, Unreal Engine integration, Unity integration, cesium-unreal, cesium-unity, ACesium3DTileset, ACesiumGeoreference, Globe Anchor, Cesium plugin, georeferencing, and Cesium-related APIs using Context7 MCP tools. Useful for CesiumJS classes (Viewer, Entity, Camera, Scene, Cartesian3, etc.), Unreal Engine Cesium components, Unity Cesium components, 3D Tiles specification, and Cesium integrations. Use query-docs with library IDs: /cesiumgs/cesium (CesiumJS), /cesiumgs/cesium-unreal (Unreal), /cesiumgs/cesium-unity (Unity), /websites/ogc_cs_22-025r4 (3D Tiles spec).
Create Skills, write Skills, Skill templates. Help create and optimize Claude Code Skills in accordance with Testany's specifications.
Git Version Control & Collaboration Expert, covering GitHub/Gitee platform operations, Conventional Commits specifications, and PR/MR best practices.
Invoke MassGen's multi-agent system for general-purpose tasks, evaluation, planning, or spec writing. Use whenever you want multiple AI agents to tackle a problem, need outside perspective on your work, a thoroughly refined plan, or a well-specified set of requirements. Perfect for: writing, code generation, research, design, analysis, pre-PR review, complex project planning, feature specification, architecture decisions, or any task where multi-agent iteration produces better results than working alone.