feishu-weekly-report
Generate professional weekly reports by aggregating Feishu chat history and local daily memory logs into a structured template.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
271 skills found
Generate professional weekly reports by aggregating Feishu chat history and local daily memory logs into a structured template.
Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.
Automates research resource preparation by loading instances, searching GitHub for codebases, building dataset descriptions, and downloading arXiv papers.
Comprehensive Polymarket agent skill for prediction market data, trading API integration, and real-time WebSocket monitoring.
An AI-driven active listening framework to extract, clarify, and structure requirements, business values, and scope from ambiguous user stories.
AI-powered coach for Xiaohongshu (XHS) note writing. Generate viral, platform-optimized content with storytelling templates, engagement hacks, and automated compliance tagging.
Orchestrates multi-agent iterative refinement for high-quality OpenClaw skill development, ensuring rigorous testing and lifecycle management.
Automate release note generation from git commits. Categorizes changes, transforms technical jargon into user-friendly summaries, and supports CHANGELOG.md, PR bodies, and Slack announcements.
A deep analysis tool for A-share markets generating interactive, FT-style HTML daily reports using multi-agent parallel architecture, AkShare data, and Tavily news.
An aggressive sprint coach that helps builders overcome procrastination and overplanning by generating 5-day actionable tasks, tracking progress, and managing project momentum.
Generates standardized metadata, including git/jj version info and timestamps, for research docs, handoffs, and implementation plans.
Automates the triage, prioritization, and feedback process for new MultiQC module requests by analyzing repository activity, community engagement, and technical feasibility.