BoltzmannEntropy

Reproduce, diagnose, fix, verify, commit, and push changes for GitHub issue reports and bug tickets. Use when the user provides a GitHub issue URL/number, asks to reproduce a reported crash or workflow failure, wants a blocker-first debugging workflow, or needs issue-linked commit/push notes after a verified fix.

Use when auditing Apple-platform app projects for release infrastructure and distribution compliance. Covers macOS DMG readiness and iOS/iPad App Store Connect release gates via companion checks.

Use when preparing mobile/desktop apps for App Store submission, before final release, or when user mentions App Store, production readiness, shipping, or needs comprehensive quality review for distribution

Use when conducting deep code review for production blockers including API mismatches, memory leaks, busy wait loops, and UI workflow failures. Apply before release to catch runtime bugs that static analysis misses.

Use when adding login/authentication to a Flutter macOS app (desktop) using Auth0. Includes Auth0 tenant setup, macOS callback configuration, Flutter login UI and AuthService, secure token storage, logout, and a backend JWT verification example.

Use when preparing iOS and iPadOS apps for TestFlight or App Store release, including signing, archive/IPA export, App Store Connect metadata, privacy/compliance checks, and final distribution readiness.

Build, verify, and package Flutter desktop apps for Windows into a distributable executable bundle (EXE plus required DLL/data dependencies, optional installer-ready artifacts). Use when a user asks to generate a Windows Flutter executable, ship a Windows desktop release, include runtime dependencies, or troubleshoot missing DLL/runtime issues in Windows Flutter distribution.

Modular workflow chain composing the QuantumNovelty skill catalog (deep_research, quantum_reviewer, logical_fallacies, novelty_audit, cross_llm_prediction, pareto_explorer, quantum_paper, process_summary, ...) into named pipelines for quantum-computing research. Per-stage `--with-X` / `--skip-X` toggles, structured telemetry (`pipeline_summary.json`, `decision_history.json`, `_stage_health.json`, `HEARTBEAT_AUDIT.md`, `checkpoint.json` — AutoResearchClaw's stage-health pattern), strict no-fallback env defaults, and a cross-model falsifiability fork. The QN-specific contributions are: paper-audit as a first-class pipeline, the 11 quantum-CS-specific fallacy taxonomy in the fallacies stage, the cross-LLM amplitude-prediction skill (`cross_llm_prediction`) as an opt-in stage, and the audit-and-falsify Pareto novelty check.

Simulated USPTO examiner panel for quantum-computing patents. Ingests a Google Patents URL / publication number / saved file, examines every claim individually under 35 U.S.C. §§ 101/102/103/112 + a quantum-operability check, runs claim-compliance and full-application review under USPTO/EPO/PCT standards, and emits an Office Action plus a deterministic machine-actionable `_office_action.json` (disposition, rejected/allowed claims, rejections-by-statute). The patent analogue of quantum_reviewer.

Real patent prior-art search for the examiner panel. Generates patent-search queries from an invention topic/claims, queries a keyless patent search (Google Patents query endpoint; ddgs site:patents.google.com fallback), and LLM-filters genuine on-topic prior art. Produces a prior-art-of-record reference list that patent_reviewer consumes via --prior-art, so §102/§103 rejections are grounded in named real references instead of fabricated-from-memory citations. Complements literature_surfacer (which covers academic non-patent literature).

Guided quantum-patent drafting workflow. Starts from an invention disclosure or short topic and drafts a filing package for USPTO, EPO, or multi-standard review: title, abstract, background, summary, drawings plan, detailed description, examples, claims, claim-compliance notes, application formalities, and prosecution checklist.