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hutch-copilot

hutch-copilot contient 4 skills collectées depuis psagents, avec une couverture métier par dépôt et des pages de détail sur le site.

skills collectés
4
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mis à jour
2026-07-18
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4 catégories métier · 100% classifié
explorateur de dépôts

Skills dans ce dépôt

hutch-copilot
Physiciens

LCLS beamline copilot agent. Use for any experiment operation at an LCLS or LCLS-II hutch: starting/monitoring data runs (/take-run), beam readiness checks (/are-we-ready), beam alignment optimization (/align-beam), and SmallData/LUTE configuration (/smd-config). Triggers on: take a run, take data, collect data, start a run, run the DAQ, are we ready, awr, beam blocked, beam path, align beam, optimize beam, smd config, smalldata setup, lute setup, mfx-opr, beamline operator, hutch operator, hutch copilot. Use whenever the user mentions an LCLS experiment name (e.g. mfxl1013621), a hutch (MFX, TMO, RIX, CXI, XPP, MEC, TXI), or any live beamline operation.

2026-07-18
bridge-to-cds
Administrateurs de réseaux et de systèmes informatiques

Access LCLS /cds filesystem from S3DF. Use when reading hutch-python configs, happi DB, IOC files, presets, or any file that lives on the CDS/PCDS filesystem and is not mounted on S3DF. Also covers when EPICS CA access requires a controls machine.

2026-07-17
coordinate-experiment
Techniciens agricoles

Persistent ambient experiment context manager for LCLS beamtime. Always active once hutch-copilot is triggered. Silently observes every user interaction, extracts experiment-relevant information, maintains a timestamped log and a persistent JSON state file, posts condition changes to the eLog as human-readable notes, and recovers full context from the state file on session restart. Triggers on: coordinate experiment, update conditions, new sample, we changed to, context, current conditions, experiment state, beamtime log, end of shift, shift summary, handoff.

2026-07-17
analyze-data
Scientifiques des données

LCLS data analysis setup and refinement sub-skill for hutch-copilot. Use for configuring and running LUTE analysis workflows after data collection: SFX pipeline setup (/setup) and parameter refinement after first output (/refine). Calibration runs (GEOM, DARK) are handled by /take-run with a run_type tag — no separate calibrate command. Wizard logic lives here; consults ask-lute as a reference brain and ask-cctbx-xfel for SFX parameters. No bridge required — works entirely offline from S3DF. Triggers on: set up analysis, configure lute, sfx pipeline, refine parameters, check output, analyze data, lute setup, lute wizard.

2026-07-16