read-optimizerOptimizes file reading by smartly extracting head/tail lines, matching patterns, or showing git diffs to minimize token use and latency.
Install via ClawdBot CLI:
clawdbot install autogame-17/read-optimizerOptimizes file reading operations by providing smarter read strategies (head/tail/grep/diff) to reduce token usage and latency. Use this when you need to inspect large files efficiently without dumping the entire content.
Reads the first N lines and the last N lines of a file. Good for logs or large docs.
node skills/read-optimizer/index.js --file <path> --mode smart --lines 100
Reads lines matching a pattern (regex supported).
node skills/read-optimizer/index.js --file <path> --mode grep --pattern "error|exception"
Reads only the lines changed since the last git commit (if in a git repo).
node skills/read-optimizer/index.js --file <path> --mode diff
--file : Path to the file.--mode : Operation mode (default: smart).--lines : Number of lines for head/tail (default: 50).--pattern : Regex pattern for grep mode.--context : Context lines for grep (default: 2).Generated Mar 1, 2026
DevOps teams use this skill to quickly inspect large server logs by reading the first and last lines to identify startup issues or recent errors, reducing time spent on manual log scanning. It helps in monitoring application health and troubleshooting without loading entire multi-gigabyte log files.
Developers apply the diff mode to view only changed lines in a file since the last git commit, streamlining code reviews by focusing on modifications. This avoids distractions from unchanged code, improving efficiency in collaborative projects and reducing cognitive load during pull request assessments.
System administrators use the grep mode to search for specific error patterns like 'exception' or 'timeout' in real-time logs, enabling rapid incident response. By filtering relevant lines with context, it minimizes token usage and latency in large-scale environments, ensuring quick diagnosis and resolution.
Data analysts leverage the smart read mode to preview the structure and tail of large CSV or JSON files before full processing, checking for data integrity and format issues. This optimizes initial exploration without loading entire datasets, saving computational resources and time in data pipelines.
Legal professionals use the grep mode to find specific terms or clauses in lengthy legal documents or contracts, such as 'liability' or 'confidentiality'. This reduces manual search efforts and token costs, facilitating efficient document analysis and compliance checks in high-volume environments.
Offer the skill as part of a cloud-based platform with tiered pricing based on usage volume, such as number of files processed or lines read. This model provides recurring revenue through monthly subscriptions, targeting enterprises with large-scale file analysis needs and offering premium support and advanced features.
Sell perpetual licenses or annual contracts to large organizations for on-premise deployment, integrating the skill into existing DevOps tools or data management systems. This generates high upfront revenue and includes customization, training, and maintenance services, appealing to sectors with strict data privacy requirements.
Provide a free basic version with limited features, such as small file sizes, and monetize through paid API calls for advanced modes like regex grep or high-volume diff reads. This attracts individual developers and small teams, converting them to paying customers as their needs grow, with revenue from API usage credits.
💬 Integration Tip
Integrate this skill into CI/CD pipelines to automatically analyze logs or code changes, or use it as a plugin in IDEs for real-time file inspection during development.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Query the DeepWiki MCP server for GitHub repository documentation, wiki structure, and AI-powered questions.
Automated GitHub PR code review with diff analysis, lint integration, and structured reports. Use when reviewing pull requests, checking for security issues,...
Essential Git commands and workflows for version control, branching, and collaboration.
Advanced git operations beyond add/commit/push. Use when rebasing, bisecting bugs, using worktrees for parallel development, recovering with reflog, managing subtrees/submodules, resolving merge conflicts, cherry-picking across branches, or working with monorepos.
Format commit messages using the Conventional Commits specification. Use when creating commits, writing commit messages, or when the user mentions commits, git commits, or commit messages. Ensures commits follow the standard format for automated tooling, changelog generation, and semantic versioning.