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smart-explore

Open source alternatives to smart-explore

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

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  2. O

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    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

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  3. A

    andrej-karpathy-skills

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    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

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  4. M

    microsoft/markitdown

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    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

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  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

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  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About smart-explore

S

smart-explore

Token-optimized structural code search using tree-sitter AST parsing

smart-explore is a skill from the claude-mem project that replaces full-file reading with structural code search based on tree-sitter AST parsing, which keeps token use low. While the skill is active, it tells the agent to use its smart_search, smart_outline and smart_unfold tools as the primary way to explore code, instead of Read, Grep and Glob. The core principle is to index first and fetch on demand: get a map of the code before loading implementation detail. Before opening any file, the agent asks whether it needs to see all of it or whether a structural overview would do. The three tools work in order. smart_search walks a directory, parses the code files and returns ranked symbols and files in one call, which replaces the usual cycle of globbing, grepping and reading. smart_outline gives the structural skeleton of a single file. smart_unfold returns the full source of one named symbol. The skill notes that it only loads instructions, so the agent must call the MCP tools itself.

View smart-exploreAll AI Skills apps
Price
Free
Made by
thedotmack
Category
AI Skills
Website
github.com/thedotmack/claude-mem/smart-explore