GitHub user
Agent skills by zhnnky329
- skills
- 29
- repository
- 1
Repositories by zhnnky329
Skills by zhnnky329, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Build and risk-screen a compact role-based method shortlist for a mathematical-modeling subquestion. | zhnnky329/ | 1.1k | — | ~1.6k | Automated safety check: Pass | MIT | 14 days ago |
| 2 | Classify each parsed mathematical-modeling subquestion by required output and structure, surface ambiguous framing trade-offs for human choice, and record primary/secondary task types without… | zhnnky329/ | 1.1k | — | ~611 | Automated safety check: Pass | MIT | 14 days ago |
| 3 | Map contest attachments to subquestions, audit and clean raw data, and emit one reusable data profile with quality, coverage, imbalance, concentration, and method-readiness evidence for downstream… | zhnnky329/ | 1.1k | — | ~1.1k | Automated safety check: Pass | MIT | 14 days ago |
| 4 | Build one compact choice card at a genuine mathematical-modeling judgment point. | zhnnky329/ | 1.1k | — | ~837 | Automated safety check: Pass | MIT | 14 days ago |
| 5 | Generate and run minimal reproducible MATLAB or Beita Tianyuan compatible code for the human-approved main method and usable baseline, with compact experiment artifacts and a canonical run summary. | zhnnky329/ | 1.1k | — | ~685 | Automated safety check: Pass | MIT | 14 days ago |
| 6 | Translate a human-approved main method and usable baseline into a minimal language-neutral implementation and experiment contract. | zhnnky329/ | 1.1k | — | ~881 | Automated safety check: Pass | MIT | 14 days ago |
| 7 | Faithfully append a human modeler's choice and rationale to one canonical per-subquestion JSONL decision ledger. | zhnnky329/ | 1.1k | — | ~783 | Automated safety check: Pass | MIT | 14 days ago |
| 8 | Polish mathematical modeling paper drafts for grammar, clarity, formula consistency, hedging calibration, overclaim detection, and contest formatting compliance. | zhnnky329/ | 1.1k | — | ~3.4k | Automated safety check: Pass | MIT | 14 days ago |
| 9 | Parse a mathematical-modeling problem into goals, objects, data, constraints, outputs, subquestions, dependencies, variables, relationships, and human-confirmed success criteria before any method… | zhnnky329/ | 1.1k | — | ~662 | Automated safety check: Pass | MIT | 14 days ago |
| 10 | Review, run, debug, and verify approved Python modeling code against its code plan, data contract, method decision, risk conditions, and experiment outputs, saving one compact JSON review. | zhnnky329/ | 1.1k | — | ~688 | Automated safety check: Pass | MIT | 14 days ago |
| 11 | Generate and run minimal reproducible Python modeling code for the human-approved main method and usable baseline, saving compact experiment artifacts and a canonical run summary. | zhnnky329/ | 1.1k | — | ~691 | Automated safety check: Pass | MIT | 14 days ago |
| 12 | Manage and verify references for mathematical modeling contest papers, generating BibTeX entries, checking citation completeness, and ensuring all references are traceable to actual sources. | zhnnky329/ | 1.1k | — | ~2.6k | Automated safety check: Pass | MIT | 14 days ago |
| 13 | Collect and analyze relevant papers, reports, and reference methods to inform method selection without fabricating references or copying models blindly. | zhnnky329/ | 1.1k | — | ~1.8k | Automated safety check: Pass | MIT | 14 days ago |
| 14 | Summarize modeling experiment evidence, compare the approved main method with a usable baseline, surface fallback triggers, and produce a decision-point or final report without creating routine… | zhnnky329/ | 1.1k | — | ~689 | Automated safety check: Pass | MIT | 14 days ago |
| 15 | Assemble a submission-ready writer package from final method, result, robustness, figure, and human-decision artifacts, then freeze approved numerical claims with provenance. | zhnnky329/ | 1.1k | — | ~739 | Automated safety check: Pass | MIT | 14 days ago |
| 16 | Package a G6-approved mathematical-modeling paper and its exact supporting code, data, results, and figures without changing their behavior or the workspace. | zhnnky329/ | 1.1k | — | ~1.1k | Automated safety check: Pass | MIT | 14 days ago |
| 17 | Inspect a mathematical-modeling workspace, evaluate lean or submission gates per subquestion, update machine-readable manifests, classify change impact, and route one next action without duplicating… | zhnnky329/ | 1.1k | — | ~1.8k | Automated safety check: Pass | MIT | 14 days ago |
| 18 | Generate and render-verify publication-quality mathematical-modeling figures from saved evidence, using the approved figure plan, source data, claim, type, and consistent visual system. | zhnnky329/ | 1.1k | — | ~585 | Automated safety check: Pass | MIT | 14 days ago |
| 19 | Audit whether the semantic evidence required by the active lean or submission profile exists and is current, without requiring one verbose artifact per skill or an arbitrary number of pass bullets. | zhnnky329/ | 1.1k | — | ~533 | Automated safety check: Pass | MIT | 14 days ago |
| 20 | Run scoped or final cross-media consistency checks for mathematical-modeling artifacts, comparing canonical numbers, symbols, parameters, decisions, files, and paper claims without performing… | zhnnky329/ | 1.1k | — | ~567 | Automated safety check: Pass | MIT | 14 days ago |
| 21 | Plan the smallest set of diagnostic, comparison, paper, and appendix figures or tables needed to support verified mathematical-modeling decisions and claims. | zhnnky329/ | 1.1k | — | ~623 | Automated safety check: Pass | MIT | 14 days ago |
| 22 | Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. | zhnnky329/ | 1.1k | — | ~526 | Automated safety check: Pass | MIT | 14 days ago |
| 23 | Review, run, debug, and verify approved MATLAB or Beita Tianyuan modeling code against its plan, data contract, method decision, compatibility constraints, and experiment outputs, saving one compact… | zhnnky329/ | 1.1k | — | ~484 | Automated safety check: Pass | MIT | 14 days ago |
| 24 | Extract and maintain global and method-specific mathematical-model assumptions from the problem frame, active method cards, data profile, and risk probes, while leaving necessity and impact… | zhnnky329/ | 1.1k | — | ~496 | Automated safety check: Pass | MIT | 14 days ago |
| 25 | Draft submission-ready mathematical-modeling paper sections from the approved solution package, frozen numbers, human decision ledger, and verified figures without searching scattered exploratory… | zhnnky329/ | 1.1k | — | ~656 | Automated safety check: Pass | MIT | 14 days ago |
| 26 | Perform the final submission-level audit of mathematical-modeling workflow integrity, evidence quality, anti-fabrication, paper coherence, figures, references, and contest readiness after… | zhnnky329/ | 1.1k | — | ~579 | Automated safety check: Pass | MIT | 14 days ago |
| 27 | Design and run risk-targeted robustness, sensitivity, error, and baseline checks for an approved mathematical model, emitting compact machine evidence in lean mode and a final report in submission… | zhnnky329/ | 1.1k | — | ~589 | Automated safety check: Pass | MIT | 14 days ago |
| 28 | Build and maintain one global mathematical symbol and unit table from the problem frame and active method cards, resolving cross-subquestion conflicts before code or paper work. | zhnnky329/ | 1.1k | — | ~475 | Automated safety check: Pass | MIT | 14 days ago |
| 29 | Detect whether approved modeling code is Python or MATLAB/Beita Tianyuan and route it to the matching reviewer using the compact named-check review contract. | zhnnky329/ | 1.1k | — | ~273 | Automated safety check: Pass | MIT | 14 days ago |
Questions, answered from the data.
What is the best skill by zhnnky329?
Method Selector from zhnnky329/MathModeling-skills ranks first of the 29 skills by zhnnky329 listed here, with the highest score: its repository has 1.1k GitHub stars, its SKILL.md loads about 1.6k tokens and it passes the automated safety check with no findings. Next come Problem Classifier and Data Auditor Cleaner.
Are zhnnky329's skills official?
None yet. All 29 skills by zhnnky329 listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.