Use this skill when external documentation, standards, or library comparisons are needed.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill research-joonghyun-lee-friere-oh-my-gemini-cli --agent claude-codeInstalls into .claude/skills of the current project.
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---
name = "research"
description = "Run source-backed technical research and convert findings into implementation-ready guidance."
---
## Purpose
Use this skill when external documentation, standards, or library comparisons are needed.
## Trigger
- User asks for latest API behavior or version-sensitive guidance
- Tradeoff decisions require evidence from primary sources
## Workflow
1. Split the question into focused research sub-questions.
2. Prefer official docs/specs and primary maintainers.
3. Record version/date context and confidence.
4. Compare options with explicit criteria.
5. Produce implementation recommendations for this repository.
## Output Template
```markdown
## Key Findings
- ...
## Source-Based Comparison
- Option A: ...
- Option B: ...
## Recommendation
- ...
## Risks / Unknowns
- ...
```
## Notes
- Keep quotes short and provide links.
- Escalate to planning (`$plan`) if research changes scope.
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Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Interview, source-challenge, verify, save, and ADR-gate fuzzy coding requests into Codex-ready implementation specs. Use when a feature, bugfix, refactor, migration, repo-wide change, or architecture task needs user-verified requirements, source-backed decisions, durable architecture decisions, acceptance criteria, validation commands, rollout notes, saved spec/ADR files, and a Codex execution prompt. Do not use when already fully specified or when the user wants direct implementation now.
Use when a repo needs CodeGraph plus ast-grep for Codex MCP setup, exploration, impact analysis, structural search, or safe refactor planning.