Skills — le catalogue de compétences de vos agents

Generate monthly/annual operations reports from IMRC system data across 10 pages

Analyze mutual fund performance, holdings, risk metrics, and investment suitability

Vendor-neutral, governed, READ-ONLY energy/substation telecontrol data tap — the energy edition (变电/电力) of Industrial-AIOps. Monitor-direction telemetry over IEC 60870-5-104 (IEC-104: RTU link status, general interrogation, single monitored-point reads by IOA — 遥测/遥信), DNP3 / IEEE 1815 (outstation link status, Class 0/1/2/3 integrity poll), and IEC 61850 MMS (IED logical-device directory, model browse, data-attribute reads) — plus the base cross-protocol brain (dataflow diagnosis, alarm bad-actors, data-quality scorecards, OEE, asset inventory, compliance self-assessment) mounted on the same s

Search, browse, and download 52K+ NASA Earth science datasets. Combines the opengeos/NASA-Earth-Data offline catalog with live CMR / LP DAAC earthdata cloud / GES DISC endpoints. Supports offline search, online granule search, single-granule download with bearer token, and --qa sidecar.

Consolidated trading knowledge from 62 books covering technical analysis, quantitative methods, behavioral finance, risk management, and systematic strategies. Use when analyzing markets, developing trading systems, or applying frameworks from classic trading literature.

Load a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply.

将 Reddit 讨论转化为有来源的洞察 · Reddit insight

Automated watershed delineation from DEM. Computes D8 flow direction, flow accumulation, delineates watersheds from outlet points, extracts stream networks, and generates statistics. Use when the user wants to delineate a watershed, compute flow accumulation, extract streams, or analyze hydrological characteristics from a DEM.

Read LAS/LAZ/COPC point clouds, compute statistics, classification QA, DEM/DSM/CHM rasters, cross-sections, density maps, and quality reports. Use when analyzing LiDAR point cloud data, generating terrain models, checking point cloud quality, or producing canopy height models.

Estimate water quality parameters from multispectral satellite imagery using red and green bands, optionally NIR/SWIR, for analysis and report generation.

Blue carbon ecosystem assessment - identify mangrove, salt marsh, and seagrass ecosystems, estimate carbon stocks, changes, and uncertainty using IPCC default factors or project-specific data.

Assess urban green space distribution equity across populations and communities. Evaluates quantity, quality, and walkable accessibility of parks and green spaces, identifies service gaps and priority areas for intervention. Use when the user needs green space equity analysis, service coverage assessment, or priority community identification.

Multi-criteria site selection for solar PV and wind projects. Applies hard constraints (slope, water, protected areas) and weighted suitability analysis. Use when screening for renewable energy development zones or comparing site alternatives.

Establish level-area-storage relationships from multi-period water surface, DEM, and water level data. Monitor reservoir capacity change and sedimentation trends. Use when analyzing reservoir storage changes, estimating current capacity, or detecting sedimentation from area-level curve shifts.

Monitor surface disturbance at mining sites using multi-temporal optical/SAR/DEM data. Detect bare land, pits, dumps, roads, and vegetation removal. Track disturbance objects across years, identify boundary violations, and generate area statistics.

Analyze vegetation recovery at mining sites by comparing pre-mining and post-reclamation NDVI rasters, generating detailed reports and statistics.

Compute carbon stock changes, emissions/removals, and uncertainty from multi-temporal land cover data using IPCC Tier 1/2 carbon factors. Use when analyzing land use change carbon budgets, estimating CO2e emissions from deforestation, or generating carbon accounting reports.

Analyze land subsidence from InSAR displacement data. Use when the user wants to analyze changes, detect hazards, or generate assessment reports.

Multi-criteria suitability analysis for infrastructure site selection. Use when the user wants to analyze changes, compare multi-temporal rasters, compute indices, or generate assessment reports.

Multi-criteria screening of groundwater recharge potential using terrain, soil, geology, land cover, drainage density, and rainfall. Supports AHP, weighted overlay, and fuzzy aggregation with sensitivity analysis and spatial validation. Use when the user wants to identify zones with higher recharge potential, compare weight scenarios, or generate candidate recharge area maps for planning purposes.

Unified geospatial data quality audit for GIS data packages. Checks raster, vector, table, NetCDF, and directory structure. Outputs JSON/HTML reports, issue layers, checksums, and machine-readable exit codes. Use when the user wants to validate data packages, check delivery quality, find CRS/nodata/ geometry issues, or generate QA reports.

Multi-temporal shoreline change rate analysis. Generates transects, computes Endpoint Rate (EPR) and Linear Regression Rate (LRR), and identifies erosion hotspots. Use when monitoring coastline retreat/accretion or identifying erosion-prone segments.

Identify major crop types from multi-temporal optical/SAR imagery using phenological features. Produces pixel/field-level classification, area statistics, and confidence maps. Use when mapping crop distributions, estimating planted areas, or generating agricultural intelligence from remote sensing data.

Monitor construction progress from multi-temporal satellite imagery. Classifies project stages (clearing, earthwork, foundation, structure, finishing, completed) using spectral indices and detects stagnation. Use when tracking infrastructure projects, auditing construction timelines, or generating progress reports from remote sensing data.