By oborchers
Compress LLM agent instructions and code documentation markdown files through iterative section-by-section compression with compressor-reviewer loop — lossless structural optimization and lossy semantic compression modes
npx claudepluginhub oborchers/fractional-cto --plugin markdown-compressorRecursively find and compress all matching markdown files in a repository — auto-approve mode with batched processing
Compress a markdown file to reduce token usage — lossless (structural) or lossy (semantic) modes with section-by-section review
Use this agent to review a compressed markdown section against its original. This agent catches information loss, over-aggressive compression, and broken references. It is spawned by the /compress command after the section-compressor — not invoked directly by users. <example> Context: The /compress command just received a compressed section from section-compressor and needs quality review. user: "Compress my CLAUDE.md file" assistant: "I'll dispatch the compression-reviewer agent to verify no critical information was lost." <commentary> After section-compressor returns a compressed version, the compression-reviewer compares original and compressed text to catch information loss before presenting to the user. </commentary> </example> <example> Context: Lossy compression of an agent instruction file — reviewer checks the aggressive compression. user: "/compress agents/code-reviewer.md" assistant: "The compression-reviewer agent will verify the compressed version preserves all behavioral rules and specifics." <commentary> The reviewer is especially critical in lossy mode where semantic changes are expected. It verifies that essential information survived compression. </commentary> </example>
Use this agent to compress a single markdown section during the /compress workflow. This agent receives one section at a time and returns the compressed version. It is spawned by the /compress command — not invoked directly by users. <example> Context: The /compress command is processing a CLAUDE.md file section-by-section in lossy mode. user: "Compress my CLAUDE.md file" assistant: "I'll dispatch the section-compressor agent to compress this section." <commentary> The /compress command splits the file into sections and dispatches section-compressor for each one. The agent applies compression techniques from the markdown-compression skill and returns the compressed text. </commentary> </example> <example> Context: The /compress command is processing an agent instruction file in lossless mode. user: "/compress agents/code-reviewer.md --lossless" assistant: "I'll use the section-compressor agent to apply lossless transformations to this section." <commentary> In lossless mode, the section-compressor applies only structural transformations. In lossy mode, it applies semantic compression. The mode is specified in the agent's task prompt. </commentary> </example>
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault. Covers memory management, session notetaking, knowledge organization, and agent context across projects. Based on Andrej Karpathy's LLM Wiki pattern.
No model invocation
Executes directly as bash, bypassing the AI model
Complete developer workflow toolkit. Includes 34 reference skills, 34 specialized agents, and 21 slash commands covering TDD, debugging, code review, architecture, documentation, refactoring, security, testing, git workflows, API design, performance, UI/UX design, plugin development, and incident response. Full SDLC coverage with MCP integrations.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
Convert documents between formats (Markdown, DOCX, PDF, HTML, LaTeX) using pandoc. Use for format conversion, document generation, and preparing markdown for Google Docs.