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Docs, README files, API references, tutorials, specs, and changelogs
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- Gi SpliceDetect splice donor and acceptor sites in DNA sequences using the Genomic Intelligence G0 BigBird transformer, via the hosted /v1/tasks/splice/predict API. Returns per-position site probabilitiesVotes: 0GitHub stars: 9
- Gi ExpressionPredict tissue / cell-type expression (log TPM + TPM) from a 9,198 bp TSS-centered DNA sequence using the Genomic Intelligence G0 Expression model, via the hosted /v1/tasks/expression/predictVotes: 0GitHub stars: 9
- Gi EnhancerPredict enhancer activity in DNA sequences using the Genomic Intelligence G0 DeepSTARR model, via the hosted /v1/tasks/enhancer/predict API. Returns per-window activity scores.Votes: 0GitHub stars: 9
- Gi ChromatinPredict chromatin state — histone marks, DNase, TF binding — across 919 tracks (DeepSEA-style) for DNA sequences, via the hosted Genomic Intelligence /v1/tasks/chromatin/predict API.Votes: 0GitHub stars: 9
- Genebass Gene Burden SkillSubmit compact Genebass gene burden requests for one Ensembl gene ID and one burden set. Use when a user wants concise Genebass PheWAS summariesVotes: 0GitHub stars: 9
- Finngen Phewas SkillFetch compact FinnGen PheWAS summaries for single variants by accepting rsID, GRCh37, or GRCh38 input and resolving to the required GRCh38 query. Use when a user wants concise FinnGen association results for one variantVotes: 0GitHub stars: 9
- FastreerPhylogenetic distance matrices and trees from VCF or FASTA data using the fastreeR hybrid Java/Python toolkit (VCF2TREE, VCF2DIST, DIST2TREE, FASTA2DIST).Votes: 0GitHub stars: 9
- Eva SkillSubmit compact EVA REST requests for species metadata and archived variant lookups. Use when a user wants concise European Variation Archive summariesVotes: 0GitHub stars: 9
- Ensembl SkillSubmit compact Ensembl REST API requests for lookup, overlap, cross-reference, and variation endpoints. Use when a user wants concise Ensembl summariesVotes: 0GitHub stars: 9
- Efo Ontology SkillSubmit compact EFO OLS4 requests for search, term lookup, children, and descendants. Use when a user wants concise EFO resolution or ontology-expansion summariesVotes: 0GitHub stars: 9
- Core Fix Skill DocsInternal maintenance support for checking and fixing generated Rust skill documentation references. Use only when explicitly invoked by /fix-skill-docs.Votes: 0GitHub stars: 9
- Civic SkillSubmit compact CIViC GraphQL requests for cancer variant interpretation schema inspection and targeted evidence retrieval. Use when a user wants concise CIViC summariesVotes: 0GitHub stars: 9
- Bgee SkillSubmit compact Bgee SPARQL requests for healthy wild-type expression metadata and ontology-aware lookup patterns. Use when a user wants concise Bgee summaries; save raw results only on request.Votes: 0GitHub stars: 9
- Alphafold SkillSubmit compact AlphaFold Protein Structure Database API requests for prediction, UniProt summary, sequence summary, and annotation lookups. Use when a user wants AlphaFold metadata or concise structure summariesVotes: 0GitHub stars: 9
- DocxUse this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx) or Word templates (.dotx). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, find-and-replace in Word files, working with tracked c...Votes: 0GitHub stars: 3
- Docsdocs (living docs people share, comment on and edit; use only when the user asks for one: names a doc, document, page, memo, spec, PRD, runbook or write-up, asks for somewhere to share or keep editing something, or says yes to your doc offer; a plan, comparison, summary or notes asked in chat stays in chat (at most a one-line doc offer); a report, status update, recap or "something I can send them" with no form named → ask first: reply, doc or file?; tabs hold tables and live charts too; a pa...Votes: 0GitHub stars: 3
- Quantization Expert Experience Tuning Rules量化专家经验调优库：按「L1 通用专家调优意见 → L2 结构化专家调优意见 → L3 模型专属专家调优意见」三级递进， 输出量化精度调优的完整手段（离群值抑制 / 量化方法·粒度·对称性选型 / 校准集调整 / 敏感层回退 / 模型专属策略）， 每条结论附专家原因分析与专家意见可信度等级。 本 Skill 是专家经验库，负责说明可选离群值抑制算法并询问用户选择哪些算法，以及回答「怎么调、哪些层需要回退及为什么」；不运行离群值抑制 processor，不修改 YAML、不执行量化、不做 EP 检查 / 服务化 / 任务评测。Votes: 0GitHub stars: 31
- Msmodelslim Layer Wise Quantization为 msModelSlim 适配器实现逐层量化（按层加载/懒加载）能力。仅在用户明确要求逐层量化或基础适配因 CPU 内存不足无法全量加载权重时使用。该特性为高阶可选项，不是基础适配必需项。Votes: 0GitHub stars: 31
- Msmodelslim Ep Parallel Adaptation--- name: msmodelslim-ep-parallel-adaptation description: | 为 MoE 模型提供 EP（Expert Parallel）多卡并行适配：确认 MoE 架构 → 检查 EP 是否就绪 → 未就绪时完成 EP 代码改造（专家按 rank 分片构造、权重按 rank 加载、Smooth/QuaRot/LN fuse 等量化映射本地化）→ 用真实多卡日志 `[EP_CHECK]` 验证结构分片，再用 `[EP_ACT_GATE]`（单卡量化 vs 多卡 EP 量化逐层激活余弦相似度）验证数值一致， 最终回传 `EP_ADAPT_RESULT=PASS`。 本 Skill 只保证「后续调优全程以 EP 并行进行」，不承担量化、测评迭代、结构化回退与最终交付； 调优主流程由 quantization-accuracy-tuning-orchestrator 承接。 license: Apache-2.0 metadata: version: 0.1.0 domain: quantization frameVotes: 0GitHub stars: 31
- Msmodelslim Adapter Verification为 msModelSlim 适配器执行功能性验证。适用于基础适配器开发完成后，自动执行四步验证（测试模型、全回退量化、权重一致性与可加载/保存、实际量化规则校验）并输出通过/失败结论。Votes: 0GitHub stars: 31
- Gen Evaluation CfgGenerate msmodelslim evaluation YAML configuration (service_oriented + aisbench + vllm-ascend). Use when user asks for evaluation config generation.Votes: 0GitHub stars: 31
- Ascend Schedule AnalysisAnalyze Ascend NPU schedule, operator dispatch, operator launch, and Host Bound profiling issues in Ascend profiling data. Use when need to diagnose device Free time, framework/operator dispatch latency, launch latency, PYTORCH_API/CANN_API launch gaps, aclrtSynchronizeStream stalls, task queue behavior, CPU scheduling interference, GC/lock pauses, CPU affinity, or schedule-side optimization actions.Votes: 0GitHub stars: 31
- Mssanitizer Basic Usage昇腾AscendC算子异常检测工具（msSanitizer）。检测内存越界、内存泄漏、数据竞争、未初始化读取、同步异常等缺陷。触发关键词：mssanitizer、sanitizer、检测工具、内存检测、竞争检测、初始化检测、同步检测Votes: 0GitHub stars: 31
- Document Ux Review当用户希望你像第一次接触项目的人一样，真实按仓库的 README、安装文档或 quick start 跑一遍，并判断“新人能不能走通”“文档是否可用”“哪里会卡住”“安装/启动说明是否对新手友好”时，使用这个 skill。它适用于 repo onboarding audit、documentation UX review、quickstart validation、README walkthrough、按文档验证安装与运行并输出问题报告的场景；即使用户只是说“按 README 试一下”“帮我检查这个仓库文档能不能跑通”“看看 quick start 为什么带不动新人”，也应触发。不要用于纯翻译、润色、摘要、风格对比、治理项检查，或只想直接修环境/修单个报错而不做完整文档体验审查的请求。Votes: 0GitHub stars: 31