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omniHarness
omniHarness contient 10 skills collectées depuis archimedes-run, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Scaffold, generate, and test a FastMCP server that can be used as an MCP tool provider. Handles API wrapper, database connector, and custom tool templates.
End-to-end smoke test skill for OmniHarness. Guides through: 1) Pulling latest code, 2) Docker OR Local installation and deployment (user preference, default to Local if Docker network issues), 3) Service availability verification, 4) Health check, 5) Final test report. Use when the user says "run smoke test", "smoke test deployment", "verify installation", "test service availability", "end-to-end test", or similar.
Build previewable static or dynamic web apps, dashboards, and sites as OmniHarness artifacts with source projects, exported outputs, live preview sessions, and artifact_manifest.json metadata for the Artifact Canvas.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Interact with OmniHarness AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to OmniHarness for research/analysis, start a OmniHarness conversation thread, check OmniHarness status or health, list available models/skills/agents in OmniHarness, manage OmniHarness memory, upload files to OmniHarness threads, or delegate complex research tasks to OmniHarness. Also use when the user mentions omniharness, deer flow, or wants to run a deep research task that OmniHarness can handle.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
Conduct multi-round deep research on any GitHub Repo. Use when users request comprehensive analysis, timeline reconstruction, competitive analysis, or in-depth investigation of GitHub. Produces structured markdown reports with executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams. Triggers on Github repository URL or open source projects.
Use this skill when the user wants a systematic literature review, survey, or synthesis across multiple academic papers on a topic. Also covers annotated bibliographies and cross-paper comparisons. Searches arXiv and outputs reports in APA, IEEE, or BibTeX format. Not for single-paper tasks — use academic-paper-review for reviewing one paper.