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IceWhaleTech AI Skills

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Browse published AI skills maintained by IceWhaleTech. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

20

Repository forks

6

Average repository stars per indexed skill

3

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

toolfs-skill

IceWhaleTech

Execute WASM-based skills mounted to virtual paths. Use this skill when the user requests skill execution such as "Execute the RAG skill", "Run the analytics skill", or "Call the skill at this path".

GitHub

toolfs-filesystem

IceWhaleTech

Access files and directories from mounted local filesystems. Use this skill when the user requests file operations such as "Read this file", "Write to that file", "List directory contents", or "Check if file ex...

GitHub

toolfs-snapshot

IceWhaleTech

Create point-in-time snapshots of filesystem state and restore to previous states. Use this skill when the user requests state management such as "Create a snapshot", "Save current state", "Restore previous sta...

GitHub

toolfs

IceWhaleTech

Unified virtual filesystem framework for LLM agents. Provides access to files, memory, RAG, skills, and snapshots through a single interface. Use this skill when the user requests file operations, memory storag...

GitHub

toolfs-memory

IceWhaleTech

Persistent key-value storage for session data, conversation context, and agent state. Use this skill when the user requests storing or retrieving memory entries such as "Store this in memory", "Remember this pr...

GitHub

toolfs-rag

IceWhaleTech

Semantic search over vector databases for document retrieval. Use this skill when the user requests searching documents, finding relevant content, or performing semantic queries such as "Search for information...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.