Claude-skill-registry keep-current
Research current online documentation and information. Use when working with external libraries, frameworks, APIs, services, version-specific issues, trends, or any topic where LLM training cutoff may impact accuracy. Guides when to use websearch, codesearch, or webfetch.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/keep-current" ~/.claude/skills/majiayu000-claude-skill-registry-keep-current && rm -rf "$T"
manifest:
skills/data/keep-current/SKILL.mdsource content
Keep Current
Ensure responses are accurate and up-to-date by doing targeted research (use helper agents when available) before answering.
When to Research
Research when working with:
- External dependencies: Libraries, frameworks, languages, SDKs
- External services: APIs, SaaS products (WorkOS, Stripe, morphllm, etc.)
- Version-specific topics: Migration guides, breaking changes, version compatibility
- Time-sensitive topics: Recent developments, trends, "latest" features, deprecations
- Uncertain knowledge: When not confident in the recency of your answer
What NOT to Research
Skip research for:
- Language basics: Syntax, core operators, standard data structures
- Stable APIs: Well-established features that rarely change
- Universal concepts: Programming patterns, algorithms, design principles
- Confident knowledge: When certain the answer is in your knowledge base and unchanged
- General knowledge: Topics that don't depend on recent changes
Rule of thumb: If it's core programming knowledge that hasn't changed in years, don't research it.
Research Assistance
When research is needed, use available research assistance (for example, a general-purpose research agent) to gather up-to-date information:
Provide Context
Include in your prompt:
- The research question: What specific information is needed
- Context: What you're building, version requirements, language/framework
- Scope: Level of detail needed (high-level overview vs deep dive)
- Constraints: Any specific requirements or limitations
Emphasize Thoroughness
The subagent must:
- Continue researching until it has a complete, confident understanding
- Explore multiple sources (official docs, community discussions, examples)
- Verify information across sources
- Not return until it has thoroughly researched the topic
- Provide distilled findings with source URLs
Example Prompt
I need to integrate WorkOS for authentication in a Next.js app. Research the current WorkOS documentation to understand: - Integration setup and configuration - SDK usage and code examples - Authentication flow implementation - Common patterns and best practices Thoroughly research this topic. Do not return until you have a complete understanding of how to integrate WorkOS based on current documentation. Provide distilled findings with source URLs.
Using Subagent Results
- The subagent returns distilled, synthesized information
- Apply findings to the user's request
- Reference sources when appropriate
- If findings are insufficient, ask for more specific research