Ai

videodb helps you ingest video and audio from local files, URLs, RTSP/RTMP live feeds, or desktop capture; search moments with timestamps and playable evidence; and act with clips, overlays, transcription, alerts, and timeline editing. It is a practical videodb guide for VideoDB for Video Editing and live-stream analysis.

token-budget-advisor is a routing skill that helps choose response depth before answering. Use it to control length, detail, or token spend in workflow automation and chat flows. This token-budget-advisor guide covers trigger rules, when not to use it, and how to apply it from skills/token-budget-advisor.

skill-comply is a compliance-testing skill that checks whether an agent follows a skill, rule, or agent definition in real runs. It generates specs from markdown, runs three prompt strictness levels, classifies tool-call timelines, and reports compliance rates with evidence. Useful for skill-comply for Compliance Review.

santa-method is a multi-agent verification workflow for outputs that need to be right before they ship. It uses independent review to catch blind spots in content, code-adjacent deliverables, compliance-sensitive copy, and workflow automation tasks. Install the santa-method skill when you need a repeatable generate, verify, converge loop.

regex-vs-llm-structured-text skill for choosing regex or LLM in structured text extraction. Start with deterministic parsing, add LLM validation for low-confidence edge cases, and use a cheaper, more reliable pipeline for documents, forms, invoices, and data analysis.

llm-trading-agent-security is a practical guide for securing autonomous trading agents with wallet authority. It covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV-aware execution, and key isolation to reduce financial-loss risk in a Security Audit.

foundation-models-on-device helps you build Apple FoundationModels features on iOS 26+ with on-device text generation, guided output with @Generable, tool calling, snapshot streaming, and availability checks for privacy-first apps.

cost-aware-llm-pipeline helps you build LLM workflows that control API spend with model routing, immutable cost tracking, retry handling, and prompt caching. Ideal for batch jobs, document pipelines, and Workflow Automation where output volume and quality tradeoffs need clear rules.

ai-first-engineering is a concise operating model for teams where AI agents generate much of the implementation work. It helps set Agent Standards for planning, architecture, review, and testing, with guidance on install, usage, and when to apply the skill.

fact-checker is a prompt-driven skill for structured claim verification, source evaluation, and clear verdicts with confidence and context. Install it from Shubhamsaboo/awesome-llm-apps to fact check statements, rumors, statistics, and misleading claims with a repeatable workflow.

deep-research is a lightweight agent skill for structured web research. It helps clarify scope, gather multiple sources, evaluate credibility, and synthesize cited findings from a single SKILL.md workflow.

Triage is a GitHub issue-triage skill for moving incoming bugs and feature requests through a role-based state machine. Use it to classify issues, decide whether more information is needed, route work to an AFK agent or a human maintainer, and keep issue handling consistent. It is a practical triage skill for Issue Tracking.

vector-index-tuning helps tune vector search indexes for latency, recall, and memory. Use it to choose index types, adjust HNSW settings, and compare quantization options for RAG workflows.

rag-implementation is a practical skill for planning RAG systems with vector databases, embeddings, retrieval patterns, and grounded-answer workflows. Use it to compare stack options, shape architecture decisions, and guide install and usage for document Q&A, knowledge assistants, and semantic search.

similarity-search-patterns helps you choose distance metrics, index types, and hybrid retrieval patterns for semantic search and RAG workflows. Use it to plan production vector search tradeoffs around recall, latency, and scale.

The hybrid-search-implementation skill shows how to combine vector and keyword retrieval with RRF, linear fusion, reranking, and cascade patterns for RAG and search systems.

Use the llm-evaluation skill to design repeatable evaluation plans for LLM apps, prompts, RAG systems, and model changes with metrics, human review, benchmarking, and regression checks.

embedding-strategies helps you choose and optimize embedding models for semantic search and RAG workflows, with practical guidance on chunking, model tradeoffs, multilingual content, and retrieval evaluation.

ai-prompt-engineering-safety-review is a prompt audit skill for reviewing LLM prompts for safety, bias, security weaknesses, and output quality before production, evaluation, or customer-facing use.

gws-modelarmor helps you work with Google Model Armor in the googleworkspace/cli ecosystem. Use it to sanitize prompts, sanitize model responses, and create templates with less guesswork than a generic prompt. It is designed for repeatable, policy-aware usage and Security Audit workflows.

develop-ai-functions-example helps you create or modify runnable AI SDK examples in vercel/ai under examples/ai-functions/src/. Use it to choose the right category, match repo conventions, and build minimal examples for provider validation, demos, or fixtures.

add-provider-package is a focused guide for creating a new @ai-sdk/<provider> package in vercel/ai. It helps contributors and API teams follow the AI SDK provider architecture, package structure, and implementation workflow when adding a provider.

ai-seo helps teams improve AI answer visibility across ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini. Use it to diagnose indexing, bot access, extractability, and citation readiness, then build a practical content plan with the repo’s platform and content-pattern references.

mama is a narration-style variant of the pua skill that keeps the same core rules but switches to a Chinese nagging-mom voice. Use it to install a reusable trigger pattern for persistent troubleshooting, debugging, and Prompt Writing workflows, with inherited escalation, checklists, and stronger follow-through.