发现 研究与调研 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Guidance for using Forgetful semantic memory effectively. Applies Zettelkasten atomic memory principles. Use when deciding whether to query or create memories, structuring memory content, or understanding memor...
Guidance for maintaining memory quality through curation. Covers updating outdated memories, marking obsolete content, and linking related knowledge. Use when memories need modification, when new information su...
Comprehensive Obsidian PKM skill covering markdown syntax, MCP integration, plugin ecosystem (Templater, QuickAdd, Tasks, Periodic Notes), workflows (daily review, weekly planning, capture, project management),...
Convert MCP servers to typed TypeScript APIs for efficient code execution. Reduces token usage by 98%+ by transforming tool calls into programmatic access. Use when building agents that need to interact with mu...
Enables automatic deep research mode with comprehensive analysis when trigger phrases are detected
Long-term user profile memory that persists across Claude Code sessions
Expert guidance for crafting effective LLM prompts using proven techniques like chain-of-thought and few-shot learning
Master communication style flexing to build rapport and influence stakeholders using the Social Styles Framework
Build executive presence through intentional personal brand development using Gartner research methodology
Aggressive session accountability via Obsidian timeline. PROACTIVELY log decisions, commits, ideas, and blockers AS THEY HAPPEN. Triggers on any significant action.
Configure SessionStart hooks for Claude Code on the web. Use when setting up a repository to run on cloud infrastructure, installing dependencies, or initializing environments for remote Claude Code sessions.
Build proper Claude Skills with correct directory structure, SKILL.md format, YAML frontmatter, and progressive disclosure. Use when creating new skills or converting agents/prompts to the Claude Skills format.
Transform data into compelling executive narratives using the What/Why/Next framework from Gartner research
Neutralize workplace political attacks using the MOAR framework from Gartner research
Use when implementing function calling, tool use, or agents with LLMs - unified tool API works across OpenAI, Anthropic, Google, and Ollama with consistent tool definition and execution patterns
Use when building real-time chat interfaces, displaying incremental LLM responses, or streaming output from OpenAI, Anthropic, Google, or Ollama - async iteration with usage tracking works across all providers
Use when starting a new project with llmring, building an application using LLMs, making basic chat completions, or sending messages to OpenAI, Anthropic, Google, or Ollama - covers lockfile creation (MANDATORY...
Use when extracting structured data from LLMs, parsing JSON responses, or enforcing output schemas - unified JSON schema API works across OpenAI, Anthropic, Google, and Ollama with automatic validation and pars...
Use when switching between LLM providers, accessing provider-specific features (Anthropic caching, OpenAI logprobs), or using raw SDK clients - covers multi-provider patterns and direct SDK access for OpenAI, A...
Use when creating llmring.lock file for new project (REQUIRED for all applications), configuring model aliases with semantic task-based names, managing environment-specific profiles (dev/staging/prod), or setti...
Create distinctive, production-grade terminal user interfaces with high design quality. Use this skill when the user asks to build CLI tools, TUI applications, or terminal-based interfaces. Generates creative,...
Python 3.12+の最新機能とベストプラクティスを活用したコード実装スキル
セキュリティを重視したPython開発パターンとベストプラクティス
uvパッケージマネージャーの最適活用とワークフロー管理スキル
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。