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plan-review

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Deeply review a markdown plan and propose concrete improvements with rationale and diffs

195 days ago

Fresh Eyes

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Review recently written or modified code with fresh eyes for bugs, errors, and problems

195 days ago

beads-create

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Create comprehensive beads (epics/tasks/subtasks) with dependencies from a plan

195 days ago

ux-polish

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Deep UI/UX scrutiny targeting Stripe-level quality for both desktop and mobile

195 days ago

beads-review

harpreetsinghharpreetsingh

Review and optimize existing beads for correctness, completeness, and structure

195 days ago

project-init

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Bootstrap a new project with AGENTS.md, beads, quality gates, and standard structure

195 days ago

plan-draft

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Synthesize decision docs, PRDs, and notes into a structured PLAN v1 using the canonical template

195 days ago

stash

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Save session context to tmp/session-resume.md before compaction or ending a session. User provides guidance on what matters.

195 days ago

land-the-plane

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Run quality gates, commit changes in logical groups, sync beads, and push to remote

195 days ago

hydrate

harpreetsinghharpreetsingh

Restore session context from the most recent tmp/session-resume.md stash after compaction or at the start of a new session.

195 days ago

test-coverage

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Analyze a repository (or the $ARGUMENTS directory) to find test coverage gaps and auto-generate beads for missing tests

195 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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