Claude-skill-registry dqmc-dev
Workflow for modifying DQMC C code, adding new measurements, and running tests. Use when editing source code, implementing new observables, debugging, or validating code changes.
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/dqmc-dev" ~/.claude/skills/majiayu000-claude-skill-registry-dqmc-dev && rm -rf "$T"
manifest:
skills/data/dqmc-dev/SKILL.mdsource content
Code Development
Build & Test
# Build make # -> build/dqmc make clean # remove build/ # Test cd test && make && ./test_greens
Smoke Test
After any code change:
dqmc-util gen Nx=4 Ny=4 U=4 dt=0.1 L=20 n_sweep_warm=50 n_sweep_meas=100 build/dqmc sim_0.h5 dqmc-util summary sim_0.h5
Adding New Measurements
-
Add to X-macro list in
:src/rc/sim_types.h// Add to MEAS_EQLT_LIST (or MEAS_UNEQLT_LIST for unequal-time) #define MEAS_EQLT_LIST \ /* ... */ \ X(my_meas, num_ij) // pick an appropriate size expression -
Implement measurement kernel in
src/rc/meas.c -
Add analysis function in
(and update reshaping/symmetrization if needed):dqmc_util/analyze_hub.py@observable( description="my new observable", requires=("meas_eqlt/n_sample", "meas_eqlt/sign", "meas_eqlt/my_meas"), ) def _my_meas(ctx): return core.jackknife_noniid( ctx.data["meas_eqlt/n_sample"], ctx.data["meas_eqlt/sign"], ctx.data["meas_eqlt/my_meas"], )
Key Code Patterns
Dual compilation: Files in
src/rc/ compile twice. Use RC(name) macro for real/complex dispatch.
Memory: Use
my_calloc() for 64-byte aligned allocations.
Profiling: Wrap with
profile_begin(name) / profile_end(name).
Definition of Done
-
succeeds without warningsmake -
passescd test && make && ./test_greens - Smoke run completes
- If touching measurements: verify via
dqmc-util summary