grepai-config-reference
Comprehensive reference for GrepAI configuration, detailing the .grepai/config.yaml schema, embedder settings, storage backends, and optimization parameters.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
371 skills found
Comprehensive reference for GrepAI configuration, detailing the .grepai/config.yaml schema, embedder settings, storage backends, and optimization parameters.
Read, write, and manage Feishu (Lark) cloud documents. Supports markdown, block manipulation, tables, and media attachments.
Synchronize Zoho CRM leads into a local SQLite database with automated upserts, change detection, and a complete audit trail for offline analysis.
An automated memory middleware for AI agents, implementing a Retrieve-Respond-Save loop to maintain long-term persistent context across conversations.
Comprehensive SEO optimization tool for web applications. Performs automated site audits, meta tag management, structured data implementation, and technical performance analysis for Next.js, Astro, React, and static sites.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Standardized structure and templates for project documentation, including READMEs, API references, CLI guides, and directory layouts.
Analyze Claude Code session history to identify inefficiencies, optimize token usage, and suggest workflow improvements.
Automated, non-destructive proofreading for LaTeX and Quarto lecture files, generating quality reports for grammar, typos, and academic style.
Fetches Confluence PRDs and transforms them into structured local Markdown for the spec-kit specify workflow, bridging PO handoffs into technical SDD implementation.
End-to-end autonomous research agent: from idea generation and literature review to experiment execution, adversarial review loops, and paper writing.
Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.