feishu-fetch-doc
Fetch and parse Feishu (Lark) cloud documents into Markdown, with support for media handling and Wiki space navigation.
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538 skills found
Fetch and parse Feishu (Lark) cloud documents into Markdown, with support for media handling and Wiki space navigation.
Meta-skill for structured, multi-depth codebase exploration including architectural analysis, fast structural overviews, and deep-dive documentation workflows.
Provides expert technical guidance for analyzing, parsing, and debugging DWARF format debug information in compiled binaries.
Converts complex bash commands prone to parse errors into reliable temporary scripts for robust execution.
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
Automate drafting tweets and threads on X (Twitter) using browser automation. Ensures content is saved to drafts for manual review.
Orchestrate complex multi-agent swarms with topologies like mesh, hierarchical, and star for research, development, and testing workflows.
Expert guide for kagent: the Kubernetes-native framework for building, deploying, and managing AI agents, MCP tools, and A2A protocols.
A Notion-based tracking system for tweet performance to enable data-driven content experimentation using reinforcement learning principles.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.
A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.