The official skillset consisting of core agent manuals to operate ChronoAI official services.
12 skills
Draft, revise, or review focused research manuscripts with complete arguments, verified literature, and direct prose. Remove defensive wording and repeated summaries while preserving exact claims, attribution, authors' voice, and reproducibility. Especially useful for mathematical, theoretical-CS, and computer-assisted papers, short notes, and coauthor revisions; adaptable to empirical papers. Use for manuscript work, not outreach campaigns or standalone theorem proving.
Plugin research-paper-writing-rigor from marketplace nyx-skills in ChronoAIProject/nyx-skills. Commands read from the repo's manifest — today.
research-paper-writing-rigorDraft, revise, or review focused research manuscripts with complete arguments, verified literature, and direct prose. Remove defensive wording and repeated summaries while preserving exact claims, attribution, authors' voice, and reproducibility. Especially useful for mathematical, theoretical-CS, a
The official skillset consisting of core agent manuals to operate ChronoAI official services.
12 skills
Turn an ambiguous request into scoped testable acceptance criteria with risks and edge cases.
1 skill
只读体检验收 canary 数据是否漂移、fixture 是否完好。用户提到“验收 fixture 漂移体检”、对应英文名称或要求运行该验收 workflow 时使用。
1 skill
Subject a claim to two independent skeptical reviews pass only if neither refutes.
1 skill
testing skill for aevatar bot
1 skill
Use when a user wants to create, edit, validate, publish, or explain an Aevatar Agent Profile; set purpose or instructions; bind exact Ornn skills and activation modes; restrict tool authority; or diagnose ETag, validation, publication, deployment exposure, or runtime binding. Agent Profile is a separate resource, not a workflow, member, team, service, or schedule. Use the opaque profileId, exact `{skillGuid, literalVersion, expectedName, expectedPublisherId}` references, strong ETags, accepted-vs-committed semantics, and capability detection before mutation.
1 skill
Two skills for hard mathematics problems, each ending in a self-contained proof.md: /math-proof:solo has the session work the problem itself in stages with a notes file; /math-proof:siege works on it for hours in rounds of judge and worker sub-agents and says plainly what is and is not proved.
2 skills · 3 agents
Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
1 skill · 3 commands · 1 agent
Agent-orchestrated skills for finding, reproducing and adjudicating regressions in PRs or commits.
7 skills
Run Mooncake pre-PR local validation via scripts/run_ci_test.sh, reproducing the reproducible parts of GitHub Actions.
1 skill
Skills for MLX-VLM: command-line and server inference, convert/quantize, adding new models, benchmarking, contributing, cached-model listing, and reproducible GitHub issues.
8 skills
Explicit 8-step empirical-analysis pipeline in the modern tidyverse + econometrics R stack (dplyr + haven + fixest + did + synthdid + rdrobust + MatchIt + WeightIt + grf + DoubleML + mediation + marginaleffects + modelsummary). All eight steps fit in a single .qmd; `quarto render` produces a unified PDF/HTML/Word reproducibility report. Includes epidemiology and ML-causal modes.
1 skill
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