Agent Workflow Claude Skills
4 122 agent workflow skills from 665 authors. They configure the agents themselves: memory, prompts, context and other skills. Half of them fit into 1 844 tokens or less — that is what one costs your context window when the agent loads it. 778 ship runnable scripts rather than instructions alone. 5 of them cannot work without an MCP server, most often task. We also found 589 copies of these same skills sitting in other people's repositories — counted once here, not 589 times.
4 122 unique 665 authors 4 updated this month 506 from vendors
Use this skill whenever the user wants to process MEG (magnetoencephalography) data including source localization, time-frequency analysis, connectivity analysis, sensor-level preprocessing, or MEG-specific feature extraction. Triggers include: 'MEG', 'MEG processing', 'MEG source localization', 'MEG connectivity', 'magnetoencephalography', 'beamformer', 'time-frequency', 'MEG preprocessing', or any request involving MEG data files (.fif, .con, .ds).
Use this skill whenever the user wants an end-to-end workflow for the Motor Neuron Disease (MND) dataset from OpenNeuro ds005874, including BIDS validation, multimodal processing of rs-fMRI and task-fMRI, phenotype extraction, and QC integration. Triggers include: 'MND', 'Motor Neuron Disease', 'ALS', 'Amyotrophic Lateral Sclerosis', 'process MND data', 'MND fMRI', or any request to run the MND multimodal pipeline.
Use this skill whenever the user wants an end-to-end workflow for the Longitudinal MS Lesion Segmentation Challenge dataset, including data validation, multimodal processing of T1w, T2w, FLAIR, and PD, lesion segmentation, and QC integration. Triggers include: 'MS Lesion Challenge', 'MS Lesion', 'ISBI MS', 'longitudinal MS', 'multiple sclerosis lesion', or any request to run the MS lesion segmentation pipeline.
Use this skill whenever NeuroClaw needs concrete nibabel operations for neuroimaging files: loading and validating NIfTI images, inspecting shapes and affine matrices, saving derived images, converting voxel coordinates to MNI/world coordinates, or reading FreeSurfer geometry and annotation files. Triggers include: 'nibabel', 'inspect NIfTI', 'read affine', 'save nifti', 'voxel to MNI', 'atlas coordinates', 'read FreeSurfer surface', 'read annot', or any request focused on low-level neuroimaging I/O rather than full preprocessing.
Use this skill whenever the user wants an end-to-end workflow for the Neuroimaging in Frontotemporal Dementia (NIFD) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'NIFD', 'frontotemporal dementia', 'FTD', 'bvFTD', 'PPA', 'process NIFD data', or any request to run the NIFD multimodal pipeline.
Use this skill whenever the user wants an end-to-end workflow for the Natural Scenes Dataset (NSD), including data access, BIDS validation, multimodal processing of task-fMRI and structural MRI, stimulus metadata extraction, and QC integration. Triggers include: 'NSD', 'Natural Scenes Dataset', 'process NSD data', 'NSD fMRI', 'visual neuroscience', or any request to run the NSD multimodal pipeline.
Use this skill whenever the user wants an end-to-end workflow for the OASIS (Open Access Series of Imaging Studies) dataset, including BIDS validation, multimodal processing of sMRI, and phenotype extraction for aging and Alzheimer's disease research. Triggers include: 'OASIS', 'OASIS-1', 'OASIS-2', 'OASIS-3', 'process OASIS data', 'Alzheimer', or any request to run the OASIS pipeline.
Use this skill whenever the user wants to synchronize NeuroClaw-generated LaTeX manuscripts with Overleaf, read/write .tex files, download/upload projects, create/rename/archive projects, compare versions, or manage project structure. Triggers include: 'sync to Overleaf', 'upload paper to Overleaf', 'Overleaf project', 'LaTeX sync', 'push draft', 'download Overleaf', 'create Overleaf project', 'tex file to Overleaf', or any request involving paper_draft.tex / collaboration. This skill is the **mandatory interface-layer LaTeX collaborator** in NeuroClaw: it strictly enforces pull-first workflow with diff reporting and per-operation user authorization for any write/create/delete action, uses pyoverleaf (cookie-based), preserves Overleaf version history, integrates directly after paper-writing, and never performs unauthorized modifications.
Use this skill whenever the user wants to process PET neuroimaging data including spatial normalization to T1w/MNI space, SUVR computation, reference region quantification, partial volume correction, or tracer-specific workflows (PiB amyloid, FDG metabolism, tau). Triggers include: 'PET', 'PET processing', 'SUVR', 'amyloid PET', 'FDG PET', 'tau PET', 'PiB', 'flortaucipir', 'reference region', 'partial volume correction', or any request involving PET neuroimaging data.
Use this skill whenever the user wants an end-to-end workflow for the Philadelphia Neurodevelopmental Cohort (PNC) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, task-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'PNC', 'Philadelphia Neurodevelopmental Cohort', 'process PNC data', 'PNC fMRI', or any request to run the PNC multimodal pipeline.
Use this skill whenever the user wants an end-to-end workflow for the Parkinson's Progression Markers Initiative (PPMI) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'PPMI', 'Parkinson', 'Parkinson disease', 'process PPMI data', 'PPMI fMRI', or any request to run the PPMI multimodal pipeline.
Use this skill whenever the user wants an end-to-end workflow for the REST-meta-MDD (Resting-State Meta-Major Depressive Disorder) dataset, including BIDS validation, processing of rs-fMRI, phenotype extraction, and QC integration. Triggers include: 'REST-meta-MDD', 'MDD', 'Major Depressive Disorder', 'depression resting-state', 'process REST-meta-MDD', or any request to run the REST-meta-MDD pipeline.
Use this skill whenever the user wants an end-to-end workflow for the SEED-IV (SJTU Emotion EEG Dataset - 4 emotions) dataset, including EEG validation, preprocessing, feature extraction, and emotion classification. Triggers include: 'SEED-IV', 'SEED4', 'emotion EEG', 'EEG emotion recognition', 'process SEED-IV', or any request to run the SEED-IV pipeline.
Use this skill whenever the user wants an end-to-end workflow for the SEED-VIG (SJTU Emotion EEG Dataset - Vigilance) dataset, including EEG validation, preprocessing, feature extraction, and vigilance/fatigue detection. Triggers include: 'SEED-VIG', 'SEEDVIG', 'vigilance EEG', 'fatigue detection', 'drowsiness EEG', 'process SEED-VIG', or any request to run the SEED-VIG pipeline.
Use this skill after a task succeeds (user confirms 'success' or tools report success). It extracts new experience from the session log + daily memory, locates relevant skills, and proposes diff-formatted updates to SKILL.md files with a clear summary for the user.
Use this skill whenever the user wants to process structural MRI (sMRI) such as T1w/T2w/FLAIR for brain extraction, bias correction, tissue segmentation (GM/WM/CSF), registration to MNI, cortical/subcortical parcellation, cortical thickness/volumetry (FreeSurfer), HCP-style structural preprocessing, WMH lesion segmentation (FLAIR+T1), ROI-wise feature extraction, or converting results back to DICOM. This is the NeuroClaw modality-layer interface: it plans WHAT to do and delegates execution to tool skills.
Use this skill whenever the user wants an end-to-end workflow for the Transdiagnostic Connectome Project (TCP) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'TCP', 'Transdiagnostic Connectome', 'process TCP data', 'TCP fMRI', or any request to run the TCP multimodal pipeline.
Use this skill whenever the user wants an end-to-end workflow for the UCLA CNP (Consortium for Neuropsychiatric Phenomics) dataset, including BIDS validation, multimodal processing of sMRI, task-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'UCLA CNP', 'Consortium Neuropsychiatric Phenomics', 'process UCLA CNP', or any request to run the UCLA CNP multimodal pipeline.
Use this skill whenever the user wants to analyze already available UK Biobank data for brain-related research, including neurological outcomes, cognitive phenotypes, brain MRI derived phenotypes, survival analysis, subgroup analysis, propensity score analysis, mediation analysis, sensitivity analysis, machine learning, visualization, or manuscript-ready summaries. This skill only covers post-extraction analysis and explicitly excludes RAP access and data download guidance.
Run a multi-agent scientific manuscript review with parallel specialist reviewers, disagreement checks, and an editor meta-review. Use when reviewing a manuscript, preprint, revision, or rebuttal in Codex or Claude Code.
| Skills for opening and driving agent-controllable visualization components in the Pantheon UI sidebar — interactive viewers the agent cell omics), Viv (bioimage / microscopy), plus agent-generated apps.
| Skills for using nf-core community pipelines to process omics data, from installation and configuration to running specific analysis pipelines.
| Skills for single-cell and spatial omics data analysis. Best practices, code snippets, and workflows for the scverse ecosystem.
| Skills for Open-ST spatial transcriptomics data processing, from raw BCL files to spatially-resolved single-cell h5ad objects.
| Skills for creating presentations, slides, and visual documentation.
| Skills derived from the Single-cell Best Practices book (sc-best-practices.org). Comprehensive workflows and guidelines for single-cell and spatial omics analysis.
| Skills for spatial transcriptomics analysis including single-cell to spatial mapping (MOSCOT), 3D visualization (PyVista), and related spatial workflows.
| Skills for upstream data processing in single-cell and spatial omics, covering raw data generation, barcode processing, alignment, spatial registration, and technology-specific preprocessing pipelines.
Compact this Claude Code session.
Find duplicate ownership, hidden second sources of truth, and contract drift in layered codebases. Use when reviewing normalization, validation, defaulting, canonicalization, persistence mapping, runtime-vs-durable state, duplicated helpers, query or cache ownership, or any "who owns this rule?" architecture question. Especially useful for SSOT audits across frontend, backend, shared core, and adapter layers, and when the user explicitly asks for duplicate-ownership exploration with subagents.
Find, clone, inspect, and summarize high-quality GitHub reference repositories for coding agents. Use when a user asks for GitHub reference projects, examples, prior art, inspiration, implementation patterns, or includes "$search-context" in a coding prompt.
v2.4.0 · Dungeon Master assistant for running persistent D&D 5e campaigns. Handles campaign creation/loading, character management, combat tracking, NPC generation, dice rolling, and session state — all persisted across sessions. Invoke with /dm:dnd followed by a subcommand, or just speak naturally once a campaign is loaded.
Delegate tasks to Claude Code CLI for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID.
Delegate tasks to Codex CLI for prototyping, debugging, code review, implementation handoff, cross-model second opinions, and multi-turn Codex sessions via SESSION_ID.
> Low-noise self-improvement skill. Captures learnings, errors, and corrections into a local `.learnings/` cache layer. Never auto-promotes to long-term memory files (SOUL.md, MEMORY.md, AGENTS.md, TOOLS.md). Promotion requires explicit user approval after repeated validation.
HTML/PPT 风格网页演示文稿生成工作流。用户提供第一页 Hero Prompt、现有 Hero 工程、演示文稿扩展指令、或要求"先对齐再执行"、"需要你更改的部分: {}"、"把 hero 扩成多页汇报/slide deck/HTML PPT"时必须使用。本 skill 要求先同步理解、列出需要用户更改或确认的部分，得到明确确认后才修改代码，并保持第一页视觉系统一致。
把需求、原始 PRD、竞品分析、零散笔记或模糊产品想法提炼成可直接发给 Claude Code、Codex 或其他编码 Agent 的精简中文 Markdown PRD。触发：用户说“帮我写一个用来vibe coding的PRD”、要求整理 coding-agent-ready PRD/spec/prompt，或希望从业务/产品材料中抽取实现所需信息。
HTML/React 第一页 Hero 生成工作流。用户提供 Hero Prompt、品牌主题、首页视觉需求、背景视频/图片、或要求"先对齐再生成第一页"、"需要你更改的部分: {}"、"做一个能跑的交互 Hero 页面"时必须使用。本 skill 要求先同步理解和需要替换的部分，确认后再创建或修改前端工程，并交付可运行、可预览、可打包的第一页。
Manage Claude Code session transcripts from local JSONL storage, including listing candidate sessions, exporting full or selected sessions to organized Markdown, inspecting archives, and summarizing tool-call history. Use when the user asks to scan, parse, archive, inspect, recover, summarize, manage, or convert Claude Code sessions, `~/.claude/projects` data, `.jsonl` transcripts, tool-call history, or hard-to-read Claude Code conversation logs.
Use when an agent needs to delegate a task to the OpenAI Codex CLI from another agent environment such as Claude Code, OpenClaw, or similar. Covers checking whether Codex CLI is installed, running one-off Codex prompts with `codex exec`, resuming sessions, collecting outputs, attaching images or files as input with `-i`/stdin, and handling Codex image generation including finding and reporting generated image file paths.
Manage local Codex session transcripts, including listing candidate sessions, exporting full or selected sessions to organized Markdown, inspecting archived sessions, and summarizing tool-call history. Use when the user asks to scan, parse, archive, inspect, recover, summarize, manage, or convert Codex sessions, `~/.codex/sessions` data, `~/.codex/archived_sessions` data, `.jsonl` transcripts, tool-call history, or hard-to-read Codex conversation logs.
Review one completed Claude Code session and propose a skill to create, update, or reuse so similar work goes faster next time. Use when the user asks to "mine a session for skills", "what skill can be created or updated from the session where I…", "extract a skill from this chat", or to review a past session for reusable workflows. Operates on exported session markdown from claude-session-manager. Not for exporting/converting sessions (use claude-session-manager) and not for writing blogs or TODOs from sessions.
Expert skill for lockheed-martin
Expert skill for Northrop Grumman
Expert-level AI Application Engineer with deep knowledge of RAG systems, LangChain, LlamaIndex, vector databases, prompt engineering, LLM API integration, and agent frameworks
Elite AI Product Manager skill with expertise in AI product strategy, LLM product development, ML feature prioritization, AI ethics and fairness. Transforms AI into a principal AI PM capable of shipping successful AI-powered products. Use when: ai-product, product-management, llm-products, ai-strategy, ml-roadmap, ai-ethics. Works with Claude Code, OpenAI Codex, Kimi Code, OpenCode, Cursor,
Expert-level Prompt Engineer skill. Transforms AI into a specialist who designs, evaluates, and optimizes prompts for LLMs, RAG pipelines, and agent workflows. Covers prompt patterns (zero-shot, few-shot, CoT, ReAct, Tree-of-Thought), RAG context injection and chunking strategies, agent tool-calling and multi-agent coordination, LLM-as-judge evaluation pipelines, and prompt injection
Expert-level Product Manager skill covering product strategy, roadmap development, user research, feature prioritization, and go-to-market. Use when: product-management, roadmap, user-research, feature-prioritization, product-strategy, go-to-market.