OpenAgentSkill Registry Manifest
Skill: pyfixest-grid-sharding
Slug: kennethkhoocy-pyfixest-grid-sharding
Category: research
Description: Diagnose and fix slow pyfixest regression GRIDS (many feols/fepois calls run
sequentially) that stay slow despite demeaner_backend="cupy64" and an idle
GPU. Use when: (1) a script looping dozens of pf.feols models on a 100k+ row
panel takes ~1 min/model, (2) process inspection shows ~1-1.5 cores busy and
nvidia-smi shows ~0% GPU utilization with a resident cupy context, (3)
planning any worker prompt that will run a model grid (robustness variants x
FE structures x domains). Root cause: per-model CPU-side single-threaded
fixed costs (formulaic model-matrix build, interaction construction,
singleton detection, cluster vcov) dominate wall time; GPU demeaning is a
small slice. Fix: shard the model grid across OS processes and/or use
pyfixest multiple-estimation syntax; mandate this IN THE WORKER PROMPT.

Agent fit:
- Decision: 63/100 Prototype first
- Primary fit: Research agents
- Role: Fallback candidate

Supply profile:
- Track: Research and knowledge work
- Scenario: Research agents
- Applicable agents: Claude Code, CLI, Codex, Cursor
- Maintenance: Pushed today
- Risk: Needs review

Trust:
- Trust score: 77/100 Strong shortlist
- Audit: 80/100 Needs review

Attribution:
- Status: Registry indexed
- Source: recursive skill source sync
- Creator: Claude Code
- Claim URL: https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-grid-sharding#claim-this-skill

Install:
npx skills add kennethkhoocy/applied-micro-skills --skill pyfixest-grid-sharding

URLs:
- Web: https://www.openagentskill.com/skills/kennethkhoocy-pyfixest-grid-sharding
- API: https://www.openagentskill.com/api/agent/skills/kennethkhoocy-pyfixest-grid-sharding
- Install API: https://www.openagentskill.com/api/skills/kennethkhoocy-pyfixest-grid-sharding/install
- Repository: https://github.com/kennethkhoocy/applied-micro-skills/tree/main/plugins/applied-micro/skills/pyfixest-grid-sharding