Digital Research Product Hub — federated infrastructure for reproducible science in particle physics & astrophysics. PUNCH4NFDI consortium project.
Quellsprache: Englisch
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Skills in diesem Repository
SkillsMP hat 184 Skills aus arm2arm/AstroAgentAssistant gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
arm2arm/AstroAgentAssistantEs werden 40 von 184 gesammelten Skills angezeigt.
Digital Research Product Hub — federated infrastructure for reproducible science in particle physics & astrophysics. PUNCH4NFDI consortium project.
Quellsprache: Englisch
Complete guide to running AgentBench FC benchmarks with LLM agents
Quellsprache: Englisch
Run AgentBench DBBench benchmark against LLMs and generate standardized comparison dashboard. Use when testing any model on DBBench (SQL generation task).
Quellsprache: Englisch
Benchmark LLMs using AgentBench suite with local Ollama models
Quellsprache: Englisch
Class-level guide for running AI agent benchmarks — Terminal-Bench, SWE-Bench, DBBench, and related evaluation frameworks. Includes platform compatibility, container setup, and result interpretation.
Quellsprache: Englisch
Overview and comparison of benchmarks that evaluate LLMs as autonomous agents: GAIA, WebArena, OSWorld, ToolBench, LiveAgentBench, BrowseComp, WebVoyager, Tau-Bench. Includes guidance on running AgentBench DBBench SQL generation and selecting the right…
Quellsprache: Englisch
Procedures, queries, pitfalls, and reproducible recipes for finding, verifying, and harvesting papers on large language models and agentic/LLM-based data analysis applied to galaxy formation, cosmology, and related astronomical subfields.
Quellsprache: Englisch
Integrate agentic assistants into DRP / reproducibility papers, slides, and architecture with grounded, non-hype framing; especially Hermes + DRP-Hub + REANA style workflows.
Quellsprache: Englisch
Full lifecycle for creating reproducible DRP cards: scaffolding with reana.yaml, Beamer/LaTeX or Python workflows, GitLab publishing, and DRP-Hub registration via REST API. Covers the complete path from project creation to share link.
Quellsprache: Englisch
Class-level skill: reproducible paper build, DRP-Hub screenshot capture, BibTeX sweep, and final packaging workflow for agentic-astronomy papers. Use when preparing/finishing a DRP-style manuscript and integrating live registry screenshots or API extracts.
Quellsprache: Englisch
Query DRP Hub public cards without auth.
Quellsprache: Englisch
Common LaTeX compilation errors, debugging patterns, and fixes — especially for agent-generated Beamer decks, TikZ/pgfplots variable mismatches, block/column nesting issues, and systematic error diagnosis workflows.
Quellsprache: Englisch
Complete guide to writing, iterating, compiling, and packaging LaTeX research papers. Covers monolithic paper generation, multi-round improvement, merging papers, figure generation, MNRAS/journal submission formatting, and portability fixes on Ubuntu/Debian.
Quellsprache: Englisch
Run LLM agent benchmarks (AgentBench FC) to evaluate multi-turn agent performance
Quellsprache: Englisch
Systematic LLM benchmarking on AgentBench, DBBench, and other standardized evaluations
Quellsprache: Englisch
Guide for verifying and extracting BibTeX metadata from NASA Astrophysics Data System (ADS). Includes verified API endpoints, search strategies, and CrossRef fallback.
Quellsprache: Englisch
Benchmarking LLM agents in terminal environments using Harbor and Terminal-Bench datasets (2.0, 2.1, Pro). Covers installation, custom endpoint configuration, oracle smoke tests, dataset selection, ARM64 pitfalls, and result interpretation.
Quellsprache: Englisch
Umbrella for the dt4acc Digital Twin (particle accelerator simulation) covering Apptainer builds, host-side smoke tests, EPICS and TANGO runbooks, container troubleshooting, and burn-in testing.
Quellsprache: Englisch
Maintain the AstroAgentAssistant-style public skills repository by auditing secrets, syncing README coverage, resolving vague issues into concrete skill changes, and keeping taxonomy consistent.
Quellsprache: Englisch
Use when running coding tasks via dsh (DeepSeek Harness).
Quellsprache: Englisch
Headless Blender 5 rendering from Docker with Cycles CPU, material creation patterns, and S3 delivery. Use when rendering 3D scenes via Blender in container.
Quellsprache: Englisch
Access StarHorse data products including SHboost-2024 and the SH21 EDR3 catalog via gaia.aip.de TAP.
Quellsprache: Englisch
Author, validate, and run REANA workflows under AIP conventions — canonical reana.yaml template, the approved environment images, mandatory reana-client validate, submit/monitor recipe, GitLab + DRP-card hand-off.
Quellsprache: Englisch
Manage DRP Hub Digital Research Products via the production REST API at drp-term.kube.aip.de/api/v1/. Supports full CRUD, clone, maturity, publish, audit, lineage, human-review, bookmarks, likes, sharing, and SSE event streaming.
Quellsprache: Englisch
When explicitly asked, use it to build a REANA serial workflow (Python analysis on remote data, Parquet cache, PNG outputs).
Quellsprache: Englisch
Complete guide to the Hermes Kanban system: the orchestrator decomposition playbook, specialist roster conventions, anti-temptation rules, and the deeper worker pitfalls, examples, and edge cases. The core lifecycle is auto-injected into every worker's system…
Quellsprache: Englisch
Work with data.aip.de and S3-backed datasets using reproducible local caching, Dask-first reads for huge data, and plotting workflows that scale to large astronomy catalogs.
Quellsprache: Englisch
FALLBACK Gaia access (prefer gaia-dr3-tap-query). Query Gaia DR3 at gaia.aip.de via its Daiquiri REST API for full-table COUNTs and very large async scans — CSRF handling, async jobs, queue names, JSON result fetching. Access 1.8 billion sources with ~153…
Quellsprache: Englisch
Retrieve nearby Gaia DR3 stars (via the AIP TAP service) and produce a two-panel research-paper figure — RA/Dec on the left, a Galactic XY projection overlaid with the SFD all-sky dust-extinction map on the right (dustmaps package).
Quellsprache: Englisch
Query Gaia DR3 at gaia.aip.de via TAP/pyvo — the DEFAULT way to get Gaia data. ADQL queries, uniform random subsampling, Parquet caching, and ready-made sky / Galactic-XY plots. Access 1.8 billion sources.
Quellsprache: Englisch
Query RAVE DR6 stars with SHboost24 distances via Gaia source_id crossmatch
Quellsprache: Englisch
Query the RAVE DR6 catalog at https://www.rave-survey.org/tap/ using pyvo (TAPService.run_sync). Access stellar parameters, Gaia cross-matches, distances, and Galactic coordinates (l, b). Includes galactic and equirectangular projection plotting recipes.
Quellsprache: Englisch
Query RAVE DR6 via TAP and crossmatch with SHboost24 distances for nearby star analysis.
Quellsprache: Englisch
Access the AIP documentation MCP server at https://docs-mcp-server.kube.aip.de. Search, scrape, and fetch documentation for 15+ indexed libraries including reana, pandas, snakemake, dask, unsloth, and more. HTTP POST + SSE, internal network only.
Quellsprache: Englisch
Back up the REANA workspace (data, code, figures, chat/agent state, skills) to a downloadable tar.gz — recipes and results, never venv binaries. Restore = untar; skill venvs re-provision themselves.
Quellsprache: Englisch
Use when accessing Gaia data through AIP services, choosing between Gaia@AIP TAP/ADQL/pyvo and Daiquiri REST/PostgreSQL APIs, handling CSRF/queue details, checking endpoint health, caching results, and falling back when services are unavailable.
Quellsprache: Englisch
Query gaia.aip.de using ADQL/TAP with reproducible query capture and astronomy-aware caveats.
Quellsprache: Englisch
Query the Gaia DR3 PostgreSQL database at gaia.aip.de via its Daiquiri REST API. Includes CSRF handling, async job submission, queue names, and result fetching. Access 1.8 billion sources with ~153 columns.
Quellsprache: Englisch
Query the Gaia DR3 PostgreSQL database at gaia.aip.de via its Daiquiri REST API. Includes CSRF handling, queue names, and result fetching.
Quellsprache: Englisch
Use when querying, caching, or plotting RAVE DR6 data via its TAP/ADQL service, including Gaia cross-match tables, recent observations, stellar parameters, southern-sky coverage caveats, VOTable parsing, and publication-ready visualizations.
Quellsprache: Englisch