Skip to main content
在 Manus 中运行任何 Skill
一键导入
$pwd:
HughYau
GitHub 创作者资料

HughYau

按仓库查看 4 个 GitHub 仓库中的 18 个已收集 skills,并展示近似职业覆盖。

已收集 skills
18
仓库
4
职业领域
3
更新
2026-04-03
仓库浏览

仓库与代表性 skills

#001
qiushi-skill
11 个 skills3.2k237更新于 2026-03-26
占该创作者 61%
arming-thought
项目管理专家

触发:在每次新的顶层对话开始时自动调用,用于建立“实事求是”的总原则,并在明确适用时为后续任务选择下游 skill;如果你是被派遣执行单一具体任务的子 agent,则跳过此 skill。 English: Trigger at the start of each new top-level conversation to establish the core methodology and select downstream skills only when clearly useful. Skip this skill when you are a delegated sub-agent handling a narrow, concrete task.

2026-03-26
criticism-self-criticism
项目管理专家

触发:当一项工作已经完成、进入阶段验收、收到批评反馈,或反复出现同类错误需要系统纠偏时调用;常见信号包括 review、audit、retrospective、quality check、纠错与复盘。 English: Trigger after delivery or at a review checkpoint when quality must be examined honestly and errors must be corrected without defensiveness. Use this skill for structured self-review, feedback processing, and continuous correction.

2026-03-26
concentrate-forces
项目管理专家

触发:当多个任务同时争夺时间、注意力、算力或预算,必须确定主攻方向并停止分散用力时调用;常见信号包括优先级过多、资源紧张、推进分散、需要决定先做什么。 English: Trigger when limited resources are being split across too many tasks and one main target must be chosen. Use this skill to concentrate effort, sequence work decisively, and finish a meaningful breakthrough before expanding.

2026-03-26
contradiction-analysis
管理分析师

触发:当问题复杂、存在多个冲突因素、优先级不清,或你不知道应该先解决什么时调用;常见信号包括 trade-off、瓶颈、根因不明、主次不清、多个问题互相牵制。 English: Trigger when a problem contains competing forces, unclear priorities, or no obvious entry point. Use this skill to identify contradictions, isolate the principal contradiction, classify its nature, and choose the right response.

2026-03-26
investigation-first
管理分析师

触发:当你准备下判断、做决策或提出建议,但事实、上下文或一手信息还不充分时优先调用;常见信号包括 unknowns、信息缺口、证据不足、领域陌生、需要先摸清现状。 English: Trigger before making claims or decisions when context is incomplete, evidence is weak, or the domain is unfamiliar. Use this skill to investigate first, gather firsthand facts, and let reality shape the conclusion.

2026-03-26
mass-line
项目管理专家

触发:当你需要收集多方意见、把零散反馈整合成可执行方案,或把方案带回真实使用者/执行者验证时调用;常见信号包括 stakeholder input、user feedback、意见汇总、对齐与验证。 English: Trigger when input must be gathered from many people, synthesized into a clearer plan, and returned to the affected users or executors for validation. Use this skill for a collect-synthesize-validate loop.

2026-03-26
overall-planning
项目管理专家

触发:当你需要在多个目标、利益方或相互制约的指标之间做动态平衡时调用;常见信号包括 trade-offs、目标冲突、系统性约束、优化一项会伤害另一项。 English: Trigger when several important goals must be advanced together and optimizing one dimension can damage another. Use this skill to map the key relationships, avoid one-sided decisions, and balance the system as a whole.

2026-03-26
practice-cognition
管理分析师

触发:当你提出了方案、假设或判断,需要通过实践验证、试错迭代或复盘升级认知时调用;常见信号包括 experiment、prototype、validate、iterate、feedback loop。 English: Trigger when an idea, hypothesis, or plan must be tested in practice and improved through iteration. Use this skill to move from action to understanding and back to action in a spiral learning loop.

2026-03-26
当前展示该仓库 Top 8 / 11 个已收集 skills。
#002
neuroforge-skills
5 个 skills30更新于 2026-02-24
占该创作者 28%
brian2
数据科学家

Brian2 skill for spiking neural network simulation with equation-based neuron models, synapses and plasticity, monitors, runtime and cpp_standalone execution, and multicompartment morphology workflows. Use when working with brian2.NeuronGroup, brian2.Synapses, brian2.SpikeMonitor, brian2.StateMonitor, brian2.PopulationRateMonitor, brian2.PoissonGroup, brian2.TimedArray, brian2.set_device, brian2.SpatialNeuron, or brian2.Morphology; keywords: STDP, event-driven synapses, Poisson input, code generation, standalone C++, morphology.

2026-02-24
mne-python
数据科学家

MNE-Python for MEG/EEG/iEEG/fNIRS analysis pipelines, from loading raw signals to epoching, preprocessing, time-frequency analysis, inverse modeling, and reporting. Use when working with mne.create_info, mne.io.RawArray, mne.Epochs, mne.compute_covariance, mne.preprocessing.ICA, mne.time_frequency.psd_array_welch, mne.make_sphere_model, mne.Report, sensor/source-space workflows, or electrophysiology quality control.

2026-02-24
nilearn
数据科学家

Nilearn skill for neuroimaging ML workflows across datasets, image transforms, maskers, GLM, decoding, connectomes, plotting, surface pipelines, and BIDS/fMRIPrep interfaces using source-verified API signatures and docs-backed usage patterns. Use when working with nilearn.datasets, nilearn.image, nilearn.maskers, nilearn.glm, nilearn.decoding, nilearn.connectome, nilearn.plotting, nilearn.surface, or nilearn.interfaces; keywords: fMRI, Niimg-like, NiftiMasker, FirstLevelModel, Decoder, ConnectivityMeasure, plot_stat_map, view_img, vol_to_surf, load_confounds, first_level_from_bids.

2026-02-24
pynibs
数据科学家

pyNIBS skill for non-invasive brain stimulation (TMS/NIBS) analysis workflows including subject/session containers, HDF5 mesh I/O, ROI structures, stimulation optimization, nonlinear regression mapping, and experiment import/cleanup utilities. Use when working with pynibs.subject, pynibs.hdf5_io, pynibs.mesh, pynibs.roi, pynibs.optimization, pynibs.regression, pynibs.expio, or dosing utilities; keywords: TMS, e-field, coil placement, MEP, SimNIBS, ROI, HDF5, cortical mapping.

2026-02-24
spikeinterface
数据科学家

Unified extracellular electrophysiology workflows for spike sorting, preprocessing, postprocessing, metrics, curation, and visualization. Use when working with Recording/Sorting objects, building SortingAnalyzer pipelines, running sorters, comparing sortings to ground truth, and applying automated/manual curation in SpikeInterface. Keywords: generate_ground_truth_recording, NumpyRecording, load_extractor, create_sorting_analyzer, quality_metrics, run_sorter, compare_sorter_to_ground_truth, apply_curation, threshold_metrics_label_units, plot_traces.

2026-02-24
#003
opensci-skill
1 个 skills100更新于 2026-02-25
占该创作者 5.6%
已展示 4 / 4 个仓库
已展示全部仓库