token-chunk
From the author
Design chunking strategies — semantic splitting, overlap tuning, retrieval-aware chunk sizing. Use when asked "how should we chunk documents", "what chunk size for retrieval", or "set up semantic splitting".
Install
npx skills add tonone-ai/tonone --skill token-chunk -a claude-code
Installs to .claude/skills/token-chunk/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 83
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- chunking-strategygiuseppe-trisciuoglio/developer-kitProvides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.Other★ 362
- cache-designtonone-ai/tononeDesign a caching strategy for an application — pattern selection, key design, TTL, and eviction policy. Use when asked to "add caching to this", "design a cache strategy", or "what should we cache".Design★ 76
- agentsop-multiscale-chunkingagentsope/SkillAlchemyDesigns multiscale chunking for RAG by embedding small units for retrieval precision and returning larger context for synthesis. Use when fixed-size chunks either lose surrounding context or dilute relevance in long documents, manuals, filings, or codebases. Covers sentence-window and parent-child or auto-merging strategies, base chunk sizing, and evaluation. Do not use when a single chunk scale already meets retrieval and generation needs.Productivity★ 446
- vect-embedtonone-ai/tononeDesign an embedding pipeline — model selection, chunking, and indexing strategy. Use when asked to "build an embedding pipeline", "design chunking and indexing", or "which embedding model should we use".Design★ 76
- embedding-strategieswshobson/agentsSelect and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.Planning★ 41.6K
- extractskillmds/skillmdIdentifies reusable UI patterns, components, and design tokens, then extracts and consolidates them into a design system for systematic reuse.Design★ 190
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in