대상 에이전트에 대해 동시 스크립트 대화를 실행하여 작업 유지, 올바른 응답, 반복 가능한 테스트 케이스에서의 성능을 측정합니다.
이 기술은 Agent Evaluation 프레임워크를 활용하여 스크립트된 다중 턴 대화 시나리오를 통해 AI 가상 에이전트의 성능을 체계적으로 벤치마킹합니다. 개발자는 동시에 여러 대화를 실행하여 에이전트가 주어진 작업을 얼마나 잘 수행하는지, 응답이 정확한지, 반복 가능한 테스트 케이스에서 일관된 성능을 보이는지 평가할 수 있습니다. 주로 Python 환경에서 동작하며, 대상 에이전트 엔드포인트나 통합 지점이 필요합니다. AWS Bedrock이나 SageMaker 같은 서비스와 선택적으로 통합 가능하며, 오픈소스 저장소(awslabs/agent-evaluation)를 기반으로 합니다. 이 기술은 에이전트의 신뢰성과 안정성을 정량적으로 측정해야 하는 QA 팀이나 개발자에게 특히 유용하며, 에이전트 배포 전 자동화된 회귀 테스트 및 성능 검증에 효과적입니다.
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/benchmark-virtual-agents-with-scripted-multi-turn-conversations-using-agent-evaluation대상 에이전트에 대해 동시 스크립트 대화를 실행하여 작업 유지, 올바른 응답, 반복 가능한 테스트 케이스에서의 성능을 측정합니다.
Python 환경, 대상 에이전트 엔드포인트 또는 통합, 선택적 AWS 서비스 (Bedrock 또는 SageMaker 등)
소스 기반 설치 또는 사용 지침을 자동으로 추출할 수 없습니다. 민감한 워크플로우에서 이 스킬을 실행하기 전에 상위 프로젝트를 검토하세요.
This repo contains 20 individual skills — each has its own dedicated page.
Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.
Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.
An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.
Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.