Antigravity-awesome-skills similarity-search-patterns

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

install
source · Clone the upstream repo
git clone https://github.com/sickn33/antigravity-awesome-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/sickn33/antigravity-awesome-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/antigravity-awesome-skills-claude/skills/similarity-search-patterns" ~/.claude/skills/sickn33-antigravity-awesome-skills-similarity-search-patterns && rm -rf "$T"
manifest: plugins/antigravity-awesome-skills-claude/skills/similarity-search-patterns/SKILL.md
source content

Similarity Search Patterns

Patterns for implementing efficient similarity search in production systems.

Use this skill when

  • Building semantic search systems
  • Implementing RAG retrieval
  • Creating recommendation engines
  • Optimizing search latency
  • Scaling to millions of vectors
  • Combining semantic and keyword search

Do not use this skill when

  • The task is unrelated to similarity search patterns
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open
    resources/implementation-playbook.md
    .

Resources

  • resources/implementation-playbook.md
    for detailed patterns and examples.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.