Every task the Mind is holding. Tap a task's 📋 and its /start_dev command is on your clipboard — paste it into a Claude Code chat to route Claude straight to that task.
In flight 2 · Parked 3 · Planned 6 · Backlog 148 · markdown version
+In flight 2 · Parked 3 · Planned 6 · Backlog 149 · markdown version
TRIAGE: needs manual review before routing — medium · safe · high
latent-nan-guard-honest-run
148 filed prompts, not started — sorted most-pickable first (priority, then size). 23 of them belong to an epic and are listed only under Epics below.
+149 filed prompts, not started — sorted most-pickable first (priority, then size). 23 of them belong to an epic and are listed only under Epics below.
Numba CPU likelihood phase 1: batched MGE convolution + operated-matrix — autoarray · medium · supervised · high
Rectangular mesh split: Bilinear (fast CPU default) vs RTU (advanced/GPU) — autoarray · medium · supervised · high
Numba CPU likelihood phase 2: kernel-CDF numba fast path (the — autoarray · large · supervised · high
Profile and speed up JAX likelihood-function compile times (all use — autolens_profiling · large · supervised · high
Give the Profiling Agent a compile-time axis — the arc — profiling · large · supervised · high
Which other searches need prior-support handling — coverage audit after — autofit · medium · supervised · medium
Give PyAutoFit searches a seed — today no search can — autofit · medium · supervised · medium
Can create a list of InversionMatrix objects for each dataset — autoarray · medium · supervised · normal
Tune cluster-scale JOSS benchmarks toward their 5-minute targets — autolens_workspace · medium · supervised · normal
Token-light wiki index over the complete/ archive — pyautomind · medium · supervised · normal
The imaging features/advanced/los_halos example needs improving and padding out before — workspaces · medium · safe · normal
The imaging features/advanced/subhalo/sensitivity example needs improving and padding out before — workspaces · medium · safe · normal
Claude Development Prompt: Arcsecond Tick Label Decimal Placement — autoarray · large · supervised · normal
EP analytic updates — implement the four planned work packages — autofit · large · supervised · normal
Remote-MCP deployment tiers (2 + 3) for the results-inspector server — autofit_assistant · large · human-required · normal
Search settings-estimation + profiling infrastructure (n_starts / batch_size / n_batch) — autolens_profiling · large · supervised · normal
Adopt oversampled PSFs in the start-here dataset chain (option a) — autolens_workspace · large · supervised · normal
Follow-up to rectangular_adapt_cdf.md (issue #322) and Path A — autoarray · too-large · supervised · normal
PIEMass.potential_2d_from: implement the missing lensing potential — autogalaxy · too-large · supervised · normal
autolens_jax_joss benchmark repo + real-data start_here pairing — autolens_jax_joss · too-large · supervised · normal
Context: PyAutoLens issue #542 follow-up (Gap 1, deferred during the — jax_substructure · too-large · supervised · normal
Context: PyAutoLens issue #542 follow-up (Gap 2, deferred during the — jax_substructure · too-large · supervised · normal
Once https://github.com/PyAutoLabs/PyAutoLens/issues/480 is fixed (PointSolver — workspaces · too-large · supervised · normal
dPIE: optional central-dispersion (sigma_0) parameterization — autogalaxy · small · supervised · low
Release board: local run_logs enrichment — pyautohands · small · supervised · low
Gallery runner: add visualization_upper + decide the modeling_visualization_jit tier — workspaces · small · supervised · low
Scheduled runs — overnight queue passes with a morning report — autonomy · medium · supervised · low
Teach repos_sync --write to stamp organ config surfaces — pyautomind · hard · supervised · low
Stamp the small-datasets regime at the FITS writer funnel — pyautonerves · large · supervised · high
Fix release JAX runtime compatibility and likelihood parity — health_fixes · too-large · supervised · high
Fix JIT quick-update visualization output regressions — health_fixes · too-large · supervised · high
interferometer Delaunay pixelization — non-PD FitException in test-mode bypass — autolens · medium · supervised · normal
JAX point-source smoke sentinel: point.py returns -1e99 instead of -83.38 — autolens · medium · supervised · normal
JIT cache not hit in modeling_visualization delaunay/rectangular scripts — autolens · medium · supervised · normal
multi_dataset/jax_likelihood scripts hang to the timeout cap (XLA compile stall) — autolens_workspace_test · medium · supervised · normal
@PyAutoFit TransformedMessage.logpdf/pdf omit the transform Jacobian — priors · medium · supervised · normal
Resolve release-profile timeout scripts deliberately — health_fixes · too-large · supervised · normal
@PyAutoFit Refactor: replace hand-rolled AbstractDensityTransform with tfp.bijectors / numpyro.distributions.transforms — priors · too-large · supervised · normal
interferometer/start_here.py OOM in nightly release-validation integrate leg — autolens
Numba CPU likelihood phase 1: batched MGE convolution + operated-matrix — autoarray · medium · supervised · high
Rectangular mesh split: Bilinear (fast CPU default) vs RTU (advanced/GPU) — autoarray · medium · supervised · high
Numba CPU likelihood phase 2: kernel-CDF numba fast path (the — autoarray · large · supervised · high
Profile and speed up JAX likelihood-function compile times (all use — autolens_profiling · large · supervised · high
Give the Profiling Agent a compile-time axis — the arc — profiling · large · supervised · high
Which other searches need prior-support handling — coverage audit after — autofit · medium · supervised · medium
Give PyAutoFit searches a seed — today no search can — autofit · medium · supervised · medium
Can create a list of InversionMatrix objects for each dataset — autoarray · medium · supervised · normal
Tune cluster-scale JOSS benchmarks toward their 5-minute targets — autolens_workspace · medium · supervised · normal
Token-light wiki index over the complete/ archive — pyautomind · medium · supervised · normal
The imaging features/advanced/los_halos example needs improving and padding out before — workspaces · medium · safe · normal
The imaging features/advanced/subhalo/sensitivity example needs improving and padding out before — workspaces · medium · safe · normal
Claude Development Prompt: Arcsecond Tick Label Decimal Placement — autoarray · large · supervised · normal
EP analytic updates — implement the four planned work packages — autofit · large · supervised · normal
Remote-MCP deployment tiers (2 + 3) for the results-inspector server — autofit_assistant · large · human-required · normal
Search settings-estimation + profiling infrastructure (n_starts / batch_size / n_batch) — autolens_profiling · large · supervised · normal
Adopt oversampled PSFs in the start-here dataset chain (option a) — autolens_workspace · large · supervised · normal
Follow-up to rectangular_adapt_cdf.md (issue #322) and Path A — autoarray · too-large · supervised · normal
PIEMass.potential_2d_from: implement the missing lensing potential — autogalaxy · too-large · supervised · normal
autolens_jax_joss benchmark repo + real-data start_here pairing — autolens_jax_joss · too-large · supervised · normal
Context: PyAutoLens issue #542 follow-up (Gap 1, deferred during the — jax_substructure · too-large · supervised · normal
Context: PyAutoLens issue #542 follow-up (Gap 2, deferred during the — jax_substructure · too-large · supervised · normal
Once https://github.com/PyAutoLabs/PyAutoLens/issues/480 is fixed (PointSolver — workspaces · too-large · supervised · normal
dPIE: optional central-dispersion (sigma_0) parameterization — autogalaxy · small · supervised · low
Release board: local run_logs enrichment — pyautohands · small · supervised · low
Gallery runner: add visualization_upper + decide the modeling_visualization_jit tier — workspaces · small · supervised · low
Scheduled runs — overnight queue passes with a morning report — autonomy · medium · supervised · low
Teach repos_sync --write to stamp organ config surfaces — pyautomind · hard · supervised · low
Deep research: Can we speed up Delaunay in PyAutoArray? — autoarray · too-large · supervised · high
Census of priors and messages — confirmed bugs + redesign — autofit · too-large · supervised · high
pixel_scales given as an int (or np.float64) is never widened — autoarray · small · supervised · mediumseed — today no search can — autofit · medium · supervised · mediumfeatures/advanced/los_halos example needs improving and padding out before — workspaces · medium · safe · normalLogGaussianPrior misreports its own support as (-inf, inf) — autofit · small · supervised · normalfeatures/advanced/subhalo/sensitivity example needs improving and padding out before — workspaces · medium · safe · normalautofit.plot functions accept **kwargs and silently discard them — autofit · small · supervised · normalrectangular_adapt_cdf.md (issue #322) and Path A — autoarray · too-large · supervised · normalgenerate.py deletes notebooks/ before rejecting an unknown project — pyautohands · small · supervised · normalPIEMass.potential_2d_from: implement the missing lensing potential — autogalaxy · too-large · supervised · normalautoreduce 0.9 on PyPI never got the Python 3.12 floor — pyautoreduce · small · supervised · normalaplt.Output stale-API drift in the remaining workspace repos — workspaces · small · supervised · normaljax_likelihood pins are stale by ~1.24e-4 and fail the — workspaces · small · supervised · normal@PyAutoFit TransformedMessage.logpdf/pdf omit the transform Jacobian — priors · medium · supervised · normal@PyAutoFit Refactor: replace hand-rolled AbstractDensityTransform with tfp.bijectors / numpyro.distributions.transforms — priors · too-large · supervised · normalpixel_scales given as an int (or np.float64) is never widened — autoarray · small · supervised · mediumLogGaussianPrior misreports its own support as (-inf, inf) — autofit · small · supervised · normalautofit.plot functions accept **kwargs and silently discard them — autofit · small · supervised · normalseed — today no search can — autofit · medium · supervised · mediumfeatures/advanced/los_halos example needs improving and padding out before — workspaces · medium · safe · normalfeatures/advanced/subhalo/sensitivity example needs improving and padding out before — workspaces · medium · safe · normalgenerate.py deletes notebooks/ before rejecting an unknown project — pyautohands · small · supervised · normalautoreduce 0.9 on PyPI never got the Python 3.12 floor — pyautoreduce · small · supervised · normalaplt.Output stale-API drift in the remaining workspace repos — workspaces · small · supervised · normaljax_likelihood pins are stale by ~1.24e-4 and fail the — workspaces · small · supervised · normalrectangular_adapt_cdf.md (issue #322) and Path A — autoarray · too-large · supervised · normalPIEMass.potential_2d_from: implement the missing lensing potential — autogalaxy · too-large · supervised · normal@PyAutoFit TransformedMessage.logpdf/pdf omit the transform Jacobian — priors · medium · supervised · normal@PyAutoFit Refactor: replace hand-rolled AbstractDensityTransform with tfp.bijectors / numpyro.distributions.transforms — priors · too-large · supervised · normal