research
This Claude Code skill breaks down research requests into structured investigations by identifying core questions, dividing topics into three to five key subtopics, and gathering factual information with supporting reasoning. Use it when users ask to research, investigate, summarize, or learn about a topic, producing outputs that include brief summaries, organized research findings with subtopics, areas of uncertainty, and suggested follow-up questions for deeper exploration.
git clone --depth 1 https://github.com/open-gitagent/opengap /tmp/research && cp -r /tmp/research/examples/lyzr-agent/skills/research ~/.claude/skills/researchSKILL.md
# Research ## Instructions When researching a topic: 1. Identify the core question or area of interest 2. Break it into 3-5 key subtopics 3. For each subtopic, provide factual information with reasoning 4. Note areas of uncertainty or debate 5. Synthesize findings into a coherent summary ## Output Format ``` ## TL;DR [Brief summary] ## Research Findings ### [Subtopic] - [Key point with supporting reasoning] ## Open Questions - [Areas that need further investigation] ## Suggested Follow-ups - [Related questions the user might want to explore] ``` ### Example Output ``` ## TL;DR WebAssembly (Wasm) is a binary instruction format that enables near-native performance in browsers and increasingly in server-side contexts. ## Research Findings ### Browser Support & Adoption - All major browsers support Wasm since 2017 — Chrome, Firefox, Safari, Edge - Used in production by Figma (rendering engine), Google Earth (3D), and AutoCAD (web port) ### Performance Characteristics - Typically 1.1-1.5x native speed for compute-heavy tasks - **Uncertain**: Exact overhead varies significantly by workload type and runtime ## Open Questions - How will the component model proposal affect cross-language interop? ## Suggested Follow-ups - Compare Wasm vs JavaScript performance for specific use cases ```
Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the user mentions compliance checks, financial audits, or document verification.
Analyzes documents and processes against FINRA, SEC, Federal Reserve, and CFPB regulatory frameworks. Identifies compliance gaps, classifies findings by severity, and recommends remediation. Use when performing compliance audits, regulatory reviews, gap analyses, or verifying policy adherence to financial regulations.
Creates and configures agent.yaml files, writes SOUL.md personality definitions, and sets up agent directory structures with skills, tools, and knowledge. Use when the user wants to configure an agent, create agent.yaml, write SOUL.md, set up agent directory structure, or customize agent settings.
Converts agent definitions between frameworks — exports to Claude Code, OpenAI, CrewAI, Lyzr, and GitHub Models formats, and imports from Claude, Cursor, and CrewAI projects. Use when the user wants to convert an agent, migrate to another framework, export to LangChain/AutoGen/CrewAI, or import from existing automation tools.
Guides installation of gitagent and creation of first agent with scaffolding, configuration, and validation. Use when the user is new to gitagent, asks how to get started, wants to install gitagent, set up their first agent, or says 'how do I start?'
Searches the SkillsMP registry, installs skills locally or globally, creates custom skills with SKILL.md frontmatter, and manages the skill lifecycle. Use when the user wants to find skills, add new capabilities, install a skill, browse available skills, create a custom skill, or manage the skills system.
Configures and runs agents with different adapters including Claude, OpenAI, CrewAI, Lyzr, and GitHub Models. Supports local execution, remote git repos, and one-shot prompts. Use when the user wants to run an agent, switch LLM providers, configure adapter settings, or launch agents from git repositories.
>