Codecov API v2 및 codecov-cli와 통합하여 커버리지 보고서를 업로드하고, 커버리지 델타를 분석하며, 최소 임계값을 적용합니다. lcov, cobertura 및 jacoco 리포트 형식을 지원합니다.
Codecov 커버리지 리포트 분석기는 개발자와 AI 에이전트가 Codecov API v2 및 codecov-cli를 활용하여 코드 커버리지 보고서를 자동으로 업로드하고 분석할 수 있도록 지원하는 스킬입니다. 이 스킬은 lcov, cobertura, jacoco 등 다양한 리포트 형식을 지원하며, 커밋 간 커버리지 델타를 계산하여 품질 관점에서 중요한 변화를 파악할 수 있습니다. 또한 최소 커버리지 임계값을 설정하고 위반 시 경고나 실패를 트리거하여 CI/CD 파이프라인에서 코드 품질 기준을 강제하는 데 유용합니다. 주로 Python 및 Docker 환경에서 동작하며, GitHub 사용자는 Codecov GitHub 앱을 필수로 설치해야 합니다. Codecov 공식 문서와 Agent Skill Exchange에서 제공되는 가이드를 기반으로 쉽게 시작할 수 있습니다.
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/codecov-coverage-report-analyzerCodecov API v2 및 codecov-cli와 통합하여 커버리지 보고서를 업로드하고, 커버리지 델타를 분석하며, 최소 임계값을 적용합니다. lcov, cobertura 및 jacoco 리포트 형식을 지원합니다.
업스트림의 요구 사항 및 주의 사항:
기본 사용법 또는 시작 가이드 노트:
내용으로 건너뛰기
가이드 API 변경 로그 지원 상태 Codecov 홈 Codecov 무료 체험
가이드 API 엔드포인트 변경 로그 v4.6 v5.0 v2023 가이드 API 변경 로그 지원 상태 Codecov 홈 Codecov 무료 체험
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.