Tools & Automation

CLI tools, utilities, converters, workflow automation, and productivity helpers

skills in category: 47,638
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Showing 6,193–6,216 of 47,638 skills

Gi AnnotationAPredict gene and transcript structure (intervals, exons, strand) from a DNA sequence using the Genomic Intelligence DNA Annotation model, via the hosted /v1/tasks/annotation/predict API. Async-onlytoolspythongoVotes: 0GitHub stars: 9
Expo Cicd WorkflowsAHelps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.toolsbashnodeVotes: 0GitHub stars: 9
Eqtl Catalogue SkillASubmit compact eQTL Catalogue API requests for association retrieval and documented metadata endpoints. Use when a user wants concise public eQTL Catalogue summariestoolspythonbashVotes: 0GitHub stars: 9
Core Agent BrowserAInternal support skill for agent-browser CLI workflows used by rust-learner, docs-researcher, and crate-researcher. Use only when browser automation is explicitly required.toolsrustgoVotes: 0GitHub stars: 9
Core ActionbookAInternal support skill for actionbook MCP selectors used by Rust documentation research workflows. Use only when another rust-skills workflow explicitly requests actionbook-backed selectors.toolsrustgoVotes: 0GitHub stars: 9
ChunkAUse CircleCI Chunk for AI-assisted CI/CD work through either the Chunk web UI or the chunk-cli. Trigger this skill when users ask to set up Chunk, troubleshoot or fix failing builds with Chunk, configure Chunk environments, schedule/proactively run Chunk tasks, or use chunk-cli commands such as init, validate, build-prompt, auth, sandbox, task, and skill install.toolsgorailsVotes: 0GitHub stars: 9
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Build Zoom Team Chat AppAUse when building Team Chat.toolsapiVotes: 0GitHub stars: 9
Build Perf BaselineAEstablish build performance baselines and apply systematic optimization techniques. USE FOR: diagnosing slow builds, establishing before/after measurements (cold, warm, no-op scenarios), applying optimization strategies like MSBuild Server, static graph builds, artifacts output, and dependency graph trimming. Start here before diving into build-perf-diagnostics, incremental-build, or build-parallelism. DO NOT USE FOR: non-MSBuild build systems, detailed bottleneck analysis (use build-perf-dia...toolsgobashVotes: 0GitHub stars: 9
Android PerformanceAGather and interpret Android performance evidence on an adb target using Simpleperf CPU profiles, Perfetto or Compose traces, gfxinfo frame data, dumpsys meminfo snapshots, Java heap dumps, and native allocation traces. Use when asked to profile an Android app flow, find CPU-heavy functions, diagnose jank, capture startup or frame timing evidence, compare before/after performance, explain what code is taking time, or gather memory/leak profiling artifacts.toolsgojavaVotes: 0GitHub stars: 9
Android Emulator QaAUse when validating Android feature flows in an emulator with adb-driven launch, input, UI-tree inspection, screenshots, and logcat capture.toolspythonshellVotes: 0GitHub stars: 9
FoundryASelf-writing meta-extension that forges new capabilities — researches docs, writes extensions, tools, hooks, and skillstoolsbashnodeVotes: 0GitHub stars: 78
Voice Clone SkillAGenerate and verify complete-ending local speech with a saved cloned voice, or prepare a reusable Qwen3-TTS voice profile from user-authorized reference audio. Use for cloned-voice narration, including Remotion or video-editing assets, and requests such as 보이스 클론, 이 목소리로 읽어줘, or 클론된 목소리로 음성 생성. Do not use for ordinary preset-voice TTS.toolspythonrustVotes: 0GitHub stars: 50
TddATest-Driven Development with RED-GREEN-REFACTOR cycle and commit strategy per PathtoolsgitVotes: 0GitHub stars: 188
Context7ALibrary documentation query via ctx7 CLI with deepwiki fallbacktoolsbashreactVotes: 0GitHub stars: 188
BrainstormAR/D phase enhancement: Socratic questioning, ADR writing, and design confirmation via cunzhitoolsVotes: 0GitHub stars: 188
Quantization Accuracy Tuning OrchestratorBEnd-to-end automated model quantization and accuracy tuning workflow. Use when user asks for automated model quantization and accuracy tuning, e.g. "自动量化", "量化调优", "一键量化", "精度调优", etc. 当用户给出多卡（≥2 卡）卡号时，量化阶段通过 EP 并行适配（msmodelslim-ep-parallel-adaptation）保证多卡 EP 并行，调优主流程仍在本 Skill。toolsbashgitVotes: 0GitHub stars: 31
Quant Tuning Score DitAAggregate DiT inference outputs into per-dimension VBench metrics via AISBench. Run after the quant-tuning-evaluate DiT workflow produces a directory of mp4s and the user supplies a VBench-1.0-mini JSON + pre-populated cache dir. Single mode (Standard).toolspythonbashVotes: 0GitHub stars: 31
Quant Tuning QuantizeA执行模型量化。通过 msmodelslim quant 依据 Practice YAML 对模型进行量化。toolsrustbashVotes: 0GitHub stars: 31
Quant Tuning Quantize DitA对 DiT（扩散/多模态生成）模型执行 W8A8 动态（data-free）或 W8A8 MXFP8（data-free）量化。覆盖 HunyuanVideo、Wan2.2-T2V/I2V/TI2V、FLUX.1-dev（已迁移）、SD3、Sana、HunyuanDiT、CogViewX 等。YAML apiversion 固定 multimodal_sd_modelslim_v1，统一 MultimodalPipelineInterface 重构路径（不再保留 LegacyMultimodalPipelineInterface）。模板与字段以 msmodelslim/model/hunyuan_video/model_adapter.py（唯一已迁移到重构路径且 lab_practice YAML 已 validated 的 DiT）为参考；其它 DiT 需按各自推理仓的 `parse_args` 调整字段集合。data-free 指不引入外部激活校准数据，spec.dataset（校准集短名，短名如 wan2_2_t2v；enable_dump: false 时不参与 dum...toolspythonrustVotes: 0GitHub stars: 31
Quant Tuning Infer DitA在 W8A8 动态量化后，用 MindIE-SD 冒烟测试 DiT 量化权重是否可加载（可选 skill）。与 `quant-tuning-evaluate`（DiT 扩展节）的区别：本 skill 仅做"能跑通 + 权重可用"的轻量验证（4~16 条 prompt，几分钟出结果），不算分；后者产出视频集交 `quant-tuning-score-dit`（AISBench-VBench 16 维度）评分，是调优回路一环。不引入 vLLM-Ascend、不做精度指标评估（FID/CLIP-score 等）。toolsbackendVotes: 0GitHub stars: 31
Quant Tuning History Append DitAAppend a DiT-tuning round to history.yaml. DiT-side counterpart of the LLM-path accuracy_append.py; records practice.md5, inference_outputs, fp_baseline_outputs, and the scoring fields (scores / overall_score / loss_vs_baseline / is_satisfied) populated by quant-tuning-score-dit. Idempotent on practice_id.toolspythonbashVotes: 0GitHub stars: 31
Quant Tuning EvaluateA执行模型测评（统一入口）。LLM/VLM 走主流程 scripts/run_evaluation.py + Evaluation YAML；model_family=dit 走 DiT 扩展节（references/dit/evaluate_workflow.md，vbench.py 批量推理产出视频）。toolspythonbashVotes: 0GitHub stars: 31
Msmodelslim Model AnalysisA在实现适配器前对候选模型做分析。确定模型实现来源（transformers / 模型目录 / diffusers）、结构特征、内存约束下的逐层量化建议（可选）及 MoE 融合权重风险。适用于用户询问模型适配可行性或做适配前分析时使用。识别为 DiT 扩散模型时，索取推理仓路径后回传 `next_step: model-adapt`，由 orchestrator 委派 `msmodelslim-model-adapt`（DiT 扩展节承接）。toolsshellapiVotes: 0GitHub stars: 31
Op Mfu CalculatorA计算算子（如 matmul/GEMM）的 MFU（Machine FLOP Utilization），并给出清晰的公式和推导过程。toolsVotes: 0GitHub stars: 31