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Optimize vector index performance across latency, recall, and memory tradeoffs. \n \n Covers HNSW parameter tuning (M, efConstruction, efSearch) with benchmarking templates and automated recommendation logic based on vector count and target recall \n Includes quantization strategies: scalar INT8, product quantization, binary quantization, and FP16 compression with memory estimation tools \n Provides Qdrant collection configuration templates optimized for three scenarios: recall-focused, speed-fo

Generates hierarchical AGENTS.md knowledge base files with complexity-scored subdirectory documentation. \n \n Discovers project structure through parallel explore agents, bash analysis, LSP codemap, and existing documentation to build a complete codebase map \n Scores directories by file count, code ratio, symbol density, and module boundaries to determine which subdirectories warrant their own AGENTS.md files \n Generates root AGENTS.md with overview, structure, conventions, and anti-patterns,

Generate and maintain file indexes in markdown documents by scanning folders and updating or creating organized file listings. \n \n Scans target markdown files and discovers files matching specified patterns in designated folders \n Generates three table format options: simple lists with descriptions, detailed tables with type/size metadata, or categorized sections grouped by file type \n Automatically identifies existing index sections by heading patterns (\"index\", \"files\", \"contents\") a

Guide to optimizing vector indexes for production performance.

Use this skill as the entry point for Eve SE. It routes to the correct skill for the task.

Quick router to the right Effect skill based on your coding task. \n \n Organized decision tree with 12 focused skills covering Effect fundamentals, error handling, concurrency, streams, dependency injection, HTTP, validation, data structures, logging, queues, and testing \n Cross-skill pattern references linking common workflows (retries, resource management, graceful shutdown, service design) to both relevant skills and the 130+ pattern examples in the Patterns Hub \n Local Effect source code

Interprets Culture Index behavioral profiles, team dynamics, and hiring fit using trait analysis and burnout detection. \n \n Analyzes individual CI profiles to identify behavioral archetypes, strengths, and trait-based challenges using distance-from-arrow methodology \n Assesses team composition via Gas/Brake/Glue framework; detects burnout by comparing Survey (hardwired traits) vs Job (adaptive behavior) graphs and calculating energy utilization \n Supports hiring profile definition, manager c

Index at Creation Time \n Index artifacts when they're created, not at batch boundaries. \n Pattern \n If downstream logic depends on artifacts being queryable, index immediately at write time. \n DO \n \n Index handoffs in PostToolUse Write hook (immediately after creation) \n Use --file flag for fast single-file indexing \n Trigger indexing from the same event that creates the artifact \n \n DON'T \n \n Wait for SessionEnd to batch-index \n Rely on cron/scheduled jobs for time-sensitive data \