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session-reflection-analysis

297
Harperreed Dotfiles Session Reflection AnalysisHarperreed Dotfiles Session Reflection Analysis

Use when asked to reflect on how the session went

194 days ago

native-app-performance

297
Harperreed Dotfiles Native App PerformanceHarperreed Dotfiles Native App Performance

Native macOS/iOS app performance profiling via xctrace/Time Profiler and CLI-only analysis of Instruments traces. Use when asked to profile, attach, record, or analyze Instruments .trace files, find hotspots, or optimize native app performance without opening Instruments UI.

194 days ago

releasing-software

297
Harperreed Dotfiles Releasing SoftwareHarperreed Dotfiles Releasing Software

Use when preparing a release, tagging a version, or when user says "release", "tag", "ship it", "push to production" - ensures all release artifacts are verified before tagging to avoid the retag-four-times failure pattern

194 days ago

pagen

17
harperreedharperreed

Personal CRM and contact management - manage contacts, relationships, and interactions. Use when the user discusses contacts, people, or relationship tracking.

194 days ago

memory

4
harperreedharperreed

Semantic memory and context - store and retrieve information with embeddings for similarity search. Use for long-term memory, context recall, and knowledge persistence.

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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