grimaldost

by Grimaldo Stanzani

Modern Python engineering standards and stack-agnostic data-engineering discipline, with ruff/uv enforcement hooks and a self-refreshing toolchain manifest.

by Grimaldo Stanzani

Discipline for evaluation acts: structure an experiment and its write-up so the Methods reconstruct without the conversation and the uncertainty is declared, not hidden — a typed record.yaml across a probe / measurement / decision tier ladder, with every load-bearing rule a script that exits non-zero rather than a line of prose.

by Grimaldo Stanzani

Superpowers-derived process disciplines in a calibrated register: fit-ranked tool dispatch, capacity dispatch (task-to-model/effort routing on a calibrated rubric), calibration-first skill authoring, red-green TDD, root-cause-first debugging, design-before-code brainstorming, evidence-before-claims verification, technically rigorous review reception, and midweight planned execution (executable-cold plans + per-task subagent review loop) — deduplicated against the craft-collection toolkit and eval-gated from birth.

by Grimaldo Stanzani

Capture session knowledge into structured entries and consolidate them into durable guidance, author paste-ready hand-off briefs, convene fresh-eyes review panels, audit a large file corpus by blind fan-out, maintain a compaction-surviving control anchor for long autonomous runs, behaviorally evaluate skills, keep live awareness of the installed toolkit, sign agent-assisted work with machine-generated provenance trailers (exact model + versioned tool stack, never a co-author line), and run the tool-dogfooding feedback loop: per-session feedback reports captured into each tool's repo and triaged into leverage-ordered improvement backlogs.