Total 36,819 skills
Showing 12 of 36819 skills
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Python port of Claude Code agent harness — tools, commands, task orchestration, and CLI entrypoint via oh-my-codex
This is used when users want to learn about industry hotspots, check topic challenge rankings, view recent hot search events or public domain popularity trends. It supports two dimensions: topic challenges and hot list events. Manual trigger: /trending
Build and deploy autonomous AI agents in-process using Open Agent SDK, an open-source alternative to @anthropic-ai/claude-agent-sdk that works anywhere without CLI dependencies.
Lovrabet development workflow CLI — Manage datasets, SQL queries, BFF scripts and code generation via the rabetbase command. Trigger words: dataset, data table, custom SQL, sql.execute, bff.execute, get_dataset_detail, validate_sql_content, save_or_update_custom_sql, @lovrabet/sdk, lovrabet development, rabetbase, filter, codegen.
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
Open or rebuild the video-lens gallery index — your personal library of saved video summaries. Use this whenever the user wants to browse, open, or search saved video reports: "show my gallery", "open video library", "browse saved videos", "build gallery", "what videos have I saved", "show my video notes", "my video summaries", "find my saved summary for [topic]", "rebuild the index", "show video-lens index", "backfill metadata", "update index".
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.
Bidirectional sync between BMAD planning artifacts and GitHub Projects v2. Use this skill whenever the user says "sync to github", "push stories", "pull status from github", "set up github project", "github sync", "onboard github project", "create github issues from stories", "update stories from github", "sync status", or wants to manage BMAD artifacts in GitHub Projects. Also trigger when user mentions "gh project", "github board", "sprint board", "project roadmap", "relationship field", "blocked by", or "parent issue" in the context of BMAD artifacts. Trigger on implicit cues like "I want to track stories in github", "let's set up a project board", "what's out of sync", "push the sprint to github".