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specification AI Agent Skills

Browse 5 skills related to specification

project-specification

196
atholaathola

Transform project briefs into testable specifications with acceptance criteria. Use for requirements translation, spec creation, pre-implementation. Skip if spec exists or still exploring.

specificationrequirementsacceptance-criteria+1
141 days ago

spec-kit-claude-code-workflow

188
aiskillstoreaiskillstore

A conceptual skill for guiding the Spec-Kit + Claude Code development workflow

speckitclaude-codeworkflow+2
141 days ago

Specification Compliance Testing

71
PramodDuttaPramodDutta

Testing implementations against formal specifications including RFC compliance, protocol adherence, and standards conformance verification.

specificationrfcprotocol+2
141 days ago

BDD Gherkin Testing Patterns

71
PramodDuttaPramodDutta

Behavior-Driven Development with Gherkin syntax, step definitions, scenario outlines, data tables, and living documentation generation.

bddgherkincucumber+2
141 days ago

requirement-study

gyanranjangyanranjan

Analyze, write, and validate software requirements from any input — conversations, documents, rough notes, or existing specs. Use when someone asks to study requirements, create a PRD, analyze a feature request, extract requirements from a document, or validate completeness of existing requirements. Also triggers on phrases like "what do we need to build", "write me a spec", or "break this down into requirements".

requirementsprdanalysis+2
141 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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