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do-nothing-scripting

abuxtonabuxton

Derive a do-nothing bash script from an asciinema .cast file, encoding each observed command as a manual step that prompts the operator before proceeding.

194 days ago

publishing-npm

abuxtonabuxton

Prepare and publish an npm package that ships agent skills, following the skills-npm convention for skill bundling and distribution.

194 days ago

asciinema-record

abuxtonabuxton

Record a terminal session to a named .cast file using asciinema, trim the recording to marked content, and optionally convert it to a GIF using agg.

194 days ago

GitHub Gist

abuxtonabuxton

Create, manage, and organize GitHub Gists using the gh CLI. Use this skill whenever a user wants to create a gist, share code snippets, manage existing gists, add files to a gist, list or search gists, edit gist content or descriptions, clone a gist, or delete a gist. Every gist created or modified must include a README.md documenting its purpose and contents.

194 days ago

shields-badges

abuxtonabuxton

Analyse a repository to identify its focus, technology stack, and labels, then search for and apply appropriate shields.io badges to markdown files.

194 days ago

writing-skills

abuxtonabuxton

Author high-quality agent skills following the agentskills.io specification, with correct frontmatter, workflow structure, and reference assets.

194 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.
Can't find your answer here? Get in touch

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