multi-model-discovery
Use Gemini to find existing solutions before building from scratch. Leverages Google Search grounding to discover code examples, libraries, and best practices to avoid reinventing the wheel.
npx skills add majiayu000/claude-skill-registry --skill multi-model-discovery-dnyoussef-context-cascade --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
<!-- S0 META-IDENTITY --> # Multi-Model Discovery Skill --- ## LIBRARY-FIRST PROTOCOL (MANDATORY) **Before writing ANY code, you MUST check:** ### Step 1: Library Catalog - Location: `.claude/library/catalog.json` - If match >70%: REUSE or ADAPT ### Step 2: Patterns Guide - Location: `.claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md` - If pattern exists: FOLLOW documented approach ### Step 3: Existing Projects - Location: `D:\Projects\*` - If found: EXTRACT and adapt ### Decision Matrix | Match | Action | |-------|--------| | Library >90% | REUSE directly | | Library 70-90% | ADAPT minimally | | Pattern exists | FOLLOW pattern | | In project | EXTRACT | | No match | BUILD (add to library after) | --- ## Kanitsal Cerceve (Evidential Frame Activation) Kaynak dogrulama modu etkin. ## Purpose Use Gemini CLI's Google Search grounding capability to discover existing solutions before implementing from scratch. This skill embodies the principle: **"Don't reinvent the wheel."** ## When to Use This Skill - Before implementing a new feature (find existing solutions first) - When researching best practices for a technology - When looking for code examples or patterns - When evaluating librar
- LIBRARY-FIRST PROTOCOL (MANDATORY)
- Step 1: Library Catalog
- Step 2: Patterns Guide
- Step 3: Existing Projects
- Decision Matrix
- Kanitsal Cerceve (Evidential Frame Activation)
- Purpose
- When to Use This Skill
- When NOT to Use This Skill
- Workflow
- Phase 1: Research Query Formulation
- Phase 2: Gemini Discovery Execution
- Phase 3: Results Synthesis
- Success Criteria
Execute via delegate.sh wrapper Or via gemini-yolo.sh Via router (automatic detection) Direct Gemini call bash -lc "gemini 'How do others implement X? Find code examples and libraries.'"
What does the multi-model-discovery skill do?
Use Gemini to find existing solutions before building from scratch. Leverages Google Search grounding to discover code examples, libraries, and best practices to avoid reinventing the wheel.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill multi-model-discovery-dnyoussef-context-cascade --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.