executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
wavelet-packetsRoutes PyWavelets users through 1D, 2D, and ND wavelet packet tree construction, traversal, and reconstruction.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this sub-skill when the task is about packet trees rather than ordinary DWT/SWT coefficient lists.
WaveletPacket, WaveletPacket2D, or WaveletPacketNDBaseNode, Node, Node2D, NodeNDpath_tupleget_level, get_leaf_nodes, walk, walk_depth, decompose, reconstruct, __getitem__, __setitem__, or __delitem__a/d, a/h/v/d, or ND packet path tuples../discrete-transforms/SKILL.md../wavelets-and-cwt/SKILL.mdreferences/api-reference.md for the verified constructor signatures and packet-tree methods.references/workflows.md for tree traversal, reconstruction, and path-selection examples.references/troubleshooting.md when a path, axis, or reconstruction step fails.../../scripts/check_pywavelets_install.py when you want a quick no-network smoke check that includes packet reconstruction.WaveletPacket defaults to mode='symmetric' and one transformed axis.WaveletPacket2D and WaveletPacketND default to mode='smooth'.WaveletPacket2D uses a/h/v/d naming for the four children of each node.WaveletPacketND uses path tuples or repeated child tokens for deeper trees.get_level(..., order='freq') is available on the 1D and 2D packet classes for frequency-style ordering.get_leaf_nodes(decompose=False) returns the currently existing leaves without forcing deeper decomposition.pywt.data.aero() and pywt.data.camera() are good for 2D packet smoke checks.pywt.data.ecg() is useful for 1D packet smoke checks.references/api-reference.md lists the verified packet constructors and node methods.references/workflows.md shows how to navigate, replace, delete, and reconstruct packet nodes.references/troubleshooting.md covers invalid paths, axes, and shape-trimming surprises.