study-note
Log ideas, notes, and learning progress chronologically to project archives using a CLI helper tool for systematic knowledge retention.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
460 skills found
Log ideas, notes, and learning progress chronologically to project archives using a CLI helper tool for systematic knowledge retention.
Drafts engaging social media posts, writes hooks, creates thread structures, and generates companion images for LinkedIn and X/Twitter.
Validates Excel exports for Customer Feedback Analyzer with 7 specific view sheets, 36 columns, and precise color-coded formatting. Ensures zero errors in customer-facing deliverables.
ClawHub is the official registry and CLI tool for managing OpenClaw AI agent skills. Search, install, version-control, and publish custom skills to your local OpenClaw workspace.
Unified content extraction and action planning engine. Automatically processes URLs (YouTube, articles, PDFs) into actionable plans.
Implement shadcn/ui components: installation, Vite/TanStack Router configuration, CLI command management, and Tailwind CSS integration.
RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.
Comprehensive Google Docs and Drive management tool. Supports document creation via Markdown, text formatting, structure analysis, and full file operations including upload, download, and sharing.
SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.
Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.
Persistent state management and workflow analytics using DuckDB for task dependency tracking, historical metrics, and context checkpointing.
An intelligent gateway that analyzes, scores, and routes user requests across 27 agents, 27 skills, and 14 MCPs to optimize Claude Code execution.