스킬 레이더 · GITHUB
실제 사용량으로 검증된 유용한 Agent Skills.
공개 저장소의 검증된 Skills를 기능, 패키지 구성, 설치 수, 출처 근거에 따라 비교할 수 있습니다.
- 카탈로그 범위
- 검증 완료
- Skills
- 15,652
- 저장소
- 2532
- 최근 동기화
- 2026. 10. 13.
arize-aiarize-instrumentation
Adds Arize AX tracing to an LLM application for the first time. Detects the stack, routes to the single matching integration doc, wires auto-instrumentation after user confirmation, and verifies traces land. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-instrumentation-health
Audits instrumentation health of existing Arize traces. Runs deterministic checks over a bounded span sample (orphaned/uncategorized/duplicate spans, flat structure, blank root I/O, unset status, missing token counts or children) and returns a ranked report. Use when the user asks why traces look empty/flat/broken, wants to verify instrumentation is healthy, find instrumentation issues, or why evals or token/cost dashboards show n/a or zero. To debug app behavior or errors, use arize-trace.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-link
Generates deep links to the Arize UI for projects, traces, spans, sessions, datasets, experiments, labeling queues, evaluators, and annotation configs. Discovers organization and project IDs with the ax CLI and produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a project, trace, span, session, dataset, experiment, evaluator, or annotation config in the Arize UI.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-migrate-braintrust
Migrates LLM observability from Braintrust into Arize AX — historical trace import via OTLP (BT output→output.value, spanparents, one AX trace per turn + session.id), datasets, and prompts (latest or versions). Use when migrating from Braintrust to Arize or importing Braintrust logs into AX.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-migrate-langfuse
Migrates LLM observability from Langfuse into Arize AX — historical trace import via OTLP (LF output→output.value, sessionId→session.id), datasets, and prompts (latest or versions + labels). Use when migrating from Langfuse to Arize or importing Langfuse observations into AX.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-migrate-langsmith
Migrates LLM observability from LangSmith into Arize AX — historical trace import via OTLP (LS outputs→output.value, session/thread→session.id), datasets, and Prompt Hub prompts (latest or versions). Use when migrating from LangSmith to Arize, importing LangSmith runs into AX, or replacing LangSmith with Arize.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-phoenix-migration
Migrate existing Phoenix (PX) traces, datasets, experiments, and stored evaluation results into Arize AX and verify the imported records. Use when users ask to move or copy historical Phoenix data to AX; not for adding live instrumentation or exporting AX data alone.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-prompt-optimization
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-prompts
INVOKE THIS SKILL for Arize Prompt Hub and ax prompts workflows: author or import templates and save (Workflows A–B), label/promote (C), or list/get/edit/delete/duplicate (D). Use when the user mentions ax prompts, Prompt Hub, creating/editing/saving a prompt, {variable} placeholders, or production/staging labels. For improving prompt text using traces or eval scores, use arize-prompt-optimization. For running experiments, use arize-experiment.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-span-routing
Use when one Python service must send each agent's, tenant's, team's, or request's spans to its correct Arize space and project using application metadata. Covers dynamic OpenTelemetry routing for custom agent builders and multi-tenant applications, including registerwithrouting, setroutingcontext, multi-space tracing, and custom span routing.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
arize-aiarize-trace
Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.
- 설치 수
- 3
- GitHub Stars
- 58
- 업데이트
- 10월 7일
googlefinding-google-skills
- Google platform decision and setup guidance, loaded on demand from Google's skill catalog. Use when a developer is choosing or setting up part of their stack, such as where to run a service, a database, storage, messaging, authentication, analytics, ads, or AI model serving, and a Google product is a reasonable candidate - whether or not a vendor is named - or when a request names a Google product or API. Brings in the matching Google skill so the answer can weigh Google options, their trade-o
- 설치 수
- 3
- GitHub Stars
- 2.1만
- 업데이트
- 10월 8일
humanlayerimprove-claude-md
improve a CLAUDE.md file using blocks to improve instruction adherence
- 설치 수
- 3
- GitHub Stars
- 5.1천
- 업데이트
- 10월 8일
humanlayerrpi
Only use when the user explicitly invokes this skill by name.
- 설치 수
- 3
- GitHub Stars
- 5.1천
- 업데이트
- 10월 8일
firecrawlfirecrawl-developer-index
Search an index of public repositories, GitHub issues, merged pull requests, repository READMEs, and curated documentation sites. Use when a programming question needs external documentation or upstream evidence.
- 설치 수
- 3
- GitHub Stars
- 117
- 업데이트
- 10월 8일
firecrawlfirecrawl-download
Save a site or section as local files (markdown, screenshots). Use for "download the site", offline docs, or a local copy for reference.
- 설치 수
- 3
- GitHub Stars
- 117
- 업데이트
- 10월 8일
firecrawlfirecrawl-interact
Drive a live browser on a scraped page: click, fill forms, log in, paginate, infinite-scroll. Use when content requires interaction or a scrape failed or returned incomplete content.
- 설치 수
- 3
- GitHub Stars
- 117
- 업데이트
- 10월 8일
firecrawlfirecrawl-map
Discover and list a site's URLs, with search filtering. Use for "map the site" or "find the URL for" requests — when the user knows the site but not the exact page, or wants site structure.
- 설치 수
- 3
- GitHub Stars
- 117
- 업데이트
- 10월 8일
firecrawlfirecrawl-monitor
Alert by webhook/email on web changes — use for "monitor/watch/track/alert me when": recurring checks on known URLs (prefer over repeated one-off scrapes) or web-wide watches for new results (queries + goal).
- 설치 수
- 3
- GitHub Stars
- 117
- 업데이트
- 10월 8일
firecrawlfirecrawl-scrape
Read a known webpage or execute a discovered workflow or data-provider capability. Use for page content or structured results once the URL or tool is selected.
- 설치 수
- 3
- GitHub Stars
- 117
- 업데이트
- 10월 8일
its-a-skill-issuegpt-image
Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI. Models: GPT-Image-2. Capabilities: text-to-image, image editing, inpainting, mask-based editing, multi-image reference, batch generation. Use for: product mockups, marketing visuals, image editing, concept art, inpainting, photo manipulation. Triggers: gpt image, gpt-image-2, openai image, chatgpt image, dall-e, dalle, openai image generation, gpt image edit, gpt inpainting, openai dall-e, gpt 4o image
- 설치 수
- 3
- GitHub Stars
- 0
- 업데이트
- 9월 6일
its-a-skill-issuehappyhorse
Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, vi
- 설치 수
- 3
- GitHub Stars
- 0
- 업데이트
- 9월 6일
its-a-skill-issuep-image
Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna, p-image, pruna image, fast image generation, optimized flux, pruna ai, p image, fast ai image, economic image generation, cheap image generation
- 설치 수
- 3
- GitHub Stars
- 0
- 업데이트
- 9월 6일
its-a-skill-issuep-video
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
- 설치 수
- 3
- GitHub Stars
- 0
- 업데이트
- 9월 6일