القائمة
Prepare ptychography reconstruction parameters, append experimental parameters, save them, and submit reconstruction to the server.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Workflow for starting BF preview, waiting for preview stabilization, synchronizing pixel size, confirming ROI, stopping preview, waiting, and acquiring 4D-STEM data.
Calibrate 4D-STEM iDPC inputs and generate an iDPC-style image from the selected dataset.
A compound skill that first acquires data on the SEM and then processes it using the ptychography workflow.
Query recent ptychography slurm IDs and visualize reconstruction results such as object, probe, positions, or loss curve.
Workflow for checking current UI parameters, collecting required experiment constraints, calculating 4D-STEM/ptychography setup recommendations, validating constraints, and updating the Nion Swift recommendation UI.
Calibrate 4D-STEM virtual detector inputs and generate a BF, ABF, or ADF virtual detector image from the selected dataset.
| id | ptychography |
| name | Ptychography Parameter Preparation And Submission |
| description | Prepare ptychography reconstruction parameters, append experimental parameters, save them, and submit reconstruction to the server. |
| version | 1.1.0 |
agent_ptychography.prepare_parameters with arguments {"total_thickness": <number|null>, "num_slices": <integer|null>, "convergence_angle": <number|null>, "accela_voltage": <number|null>, "fov_nm": <number|null>, "PLRotation_deg": <number|string|null>, "rez_pixel_size_mrad": <number|null>, "rez_pixel_size_A": <number|null>, "aberrations": <array>, "data_pad": <integer|null>, "bright_threshold": <number>, "scan_step_A": <number|null>, "transform_axis_matrix": <array>}.agent_ptychography.append_exp_params with arguments {}.agent_ptychography.save_params with arguments {}.agent_ptychography.start_server_ptychography with arguments {"param_path": "<path returned by save_params or current ptychography UI path_params>"}.agent_ptychography.load_preset with arguments {} when the user wants to start from a preset.agent_ptychography.search_RAG_for_parameters with arguments {"parameter_name_list": ["<parameter names>"]} when parameter meanings/defaults are unclear.agent_ptychography.change_pypty_parameters with arguments {"user_query": "<requested parameter change>"} when the user asks to modify current pypty or experimental parameters.agent_ptychography.prepare_parameters. Use values from user input, current ptychography UI state, SEM/acquisition metadata, or JSON null for unknown optional numeric values. Use current UI/default values for non-null array/number fields such as aberrations, bright_threshold, and transform_axis_matrix.agent_ptychography.append_exp_params, but put confirm_prepared_ptychography_parameters in this step's required_inputs so execution stops and asks the user to review the prepared parameters before calling the tool.agent_ptychography.save_params. The output should include or imply the parameter file path.agent_ptychography.start_server_ptychography with param_path from save_params output or the current ptychography UI experimental_params.path_params, but put confirm_saved_ptychography_parameters_before_server in this step's required_inputs so execution stops and asks the user before server submission.check_parameters, append_parameter, save_parameters, or send_to_server.prepare_parameters and append_exp_params; they are separate MCP tools and separate workflow steps.required_inputs on append_exp_params for confirming prepared parameters, and on start_server_ptychography for confirming saved parameters.null or omitted when unknown. Non-null fields (aberrations, bright_threshold, transform_axis_matrix) must be populated from UI/defaults. Do not use the string "None".search_RAG_for_parameters or change_pypty_parameters as a support step only when needed.required_inputs list and use on_failure: ask_user; do not block the whole plan with PlanReview missing_inputs.