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qualit527
GitHub creator profile

qualit527

Repository-level view of 7 collected skills across 1 GitHub repositories.

skills collected
7
repositories
1
updated
Apr 25, 2026
repository explorer

Repositories and representative skills

demo-presenter
technical-writersproducers-and-directors

Use when preparing an AutoQEC demo walkthrough, advisor presentation, hackathon pitch, recorded narration, or evidence-backed explanation of why the demos matter and why their outputs are correct.

Apr 25, 2026
review-framework
software-developers

Read the artifacts of a completed AutoQEC run and propose improvements to the framework code itself — DSL gaps, weak baselines, miscalibrated safety thresholds, prompt drift, env limitations, orchestration friction. Advisory only; never edits framework files.…

Apr 25, 2026
autoqec-run
data-scientists-152051

Run the AutoQEC research loop on a given env YAML. Orchestrates the autoqec-ideator / autoqec-coder / autoqec-analyst subagents via the Agent tool, invokes the Runner CLI for training + evaluation, and writes history.jsonl + pareto.json. Use when the user…

Apr 24, 2026
read-zulip
project-management-specialists

Read Zulip stream/topic history for project context, summarize decisions, and recover requirements or action items. Use when task context may depend on prior Zulip discussion rather than only repository files.

Apr 23, 2026
diagnose-failure
software-developers

Inspect a stalled or failed run, identify root cause (bad hyperparameter / NaN pattern / OOM / env misconfig), and recommend a fix. Does NOT apply fixes autonomously.

Apr 22, 2026
review-log
sociology-teachers-postsecondary

Read an entire runs/<id>/log.md and assess research narrative coherence, identify stuck hypotheses, detect overfitting signs, and write a review markdown. Use after a full run completes or when a loop has been stuck for many rounds.

Apr 22, 2026
verify-decoder
data-scientists-152051

Audit a predecoder checkpoint against holdout seeds. Runs independent_eval (3 fair-baseline guards) and interprets borderline cases with LLM reasoning. Use when a round produces a promising Δ_LER and the user wants to confirm it is not a reward-hacking…

Apr 22, 2026
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