Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,459 skills from 2,407 repositories · updated 33 minutes ago
10,658 skills
- bio-viromicsBioTender-max/awesome-bio-agent-skillsDetect, classify, and QC viral contigs.OtherNo warnings★ 215↓ —
- conn-toolBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants to perform advanced functional connectivity (ROI-to-ROI, seed-to-voxel, ICA) or effective connectivity (PPI, gPPI, DCM) analysis using the CONN Toolbox. Triggers include: 'conn', 'CONN toolbox', 'functional connectivity', 'effective connectivity', 'ROI-to-ROI', 'seed-to-voxel', 'PPI', 'gPPI', 'DCM', 'psychophysiological interaction', or any request for connectivity analysis after preprocessing.OtherNo warnings★ 215↓ —
- david-julius-perspectiveBioTender-max/awesome-bio-agent-skillsDavid Julius认知框架蒸馏 — 2021年诺贝尔生理学或医学奖得主，温度与触觉受体发现者。 以"自然界的分子工具"为核心方法论，从辣椒素出发开创了整个疼痛感知研究领域。 适用于：科学探索方法论、逆向工程思维、从日常现象发现深层机制的决策框架。 触发词：「Julius视角」「分子工具思维」「从现象到机制」「辣椒素范式」OtherNo warnings★ 215↓ —
- fine-mappingBioTender-max/awesome-bio-agent-skillsStatistical fine-mapping of GWAS loci using SuSiE, SuSiE-inf, and Approximate Bayes Factors to identify credible sets and posterior inclusion probabilities (PIPs) for causal variant discovery. SuSiE-inf adds an infinitesimal polygenic component for improved calibration at well-powered loci.OtherNo warnings★ 215↓ —
- filteringBioTender-max/awesome-bio-agent-skillsUse this model doc whenever the user wants to perform neuroimaging signal denoising with classical temporal filtering methods. This is a non-deep-learning preprocessing route focused on temporal cleaning, frequency selection, and preparation of cleaner time series for downstream analysis.OtherNo warnings★ 215↓ —
- katalin-kariko-perspectiveBioTender-max/awesome-bio-agent-skills诺贝尔奖得主Katalin Karikó的认知框架——40年逆共识坚持、从边缘到改变世界的思维操作系统。 核心镜片：内在信念驱动、问题导向超越领域、实验验证高于同行评价。 触发词：「卡里科」「Karikó」「mRNA思维」「逆共识坚持」「长期主义科学家」「被低估的天才」。OtherNo warnings★ 215↓ —
- jack-w-szostak-perspectiveBioTender-max/awesome-bio-agent-skillsJack W. Szostak（2009年诺贝尔生理学或医学奖得主）思维框架。 端粒与端粒酶的共同发现者，RNA世界假说/生命起源领域的领军人物。 核心镜片：化学还原论+跨学科碰撞+问题选择艺术。 适用场景：科研方向选择、跨学科创新、从化学第一性原理思考生命问题、科研诚信决策。OtherNo warnings★ 215↓ —
- jeffrey-c-hall-perspectiveBioTender-max/awesome-bio-agent-skills诺贝尔医学奖得主Jeffrey C. Hall的思维视角。2017年因发现昼夜节律分子机制获奖。 核心镜片：基础研究的长期主义、模型生物的非直觉力量、负反馈回路的哲学。 调研来源：14条（诺奖官网一手采访3篇、学术论文6篇、权威媒体5篇）。 心智模型：4个。触发词：「Hall视角」「果蝇哲学」「节律思维」「基础研究」。OtherNo warnings★ 215↓ —
- seq-wranglerBioTender-max/awesome-bio-agent-skillsNGS read QC, alignment, and BAM processing pipeline. Wraps FastQC, BWA/Bowtie2/Minimap2, SAMtools, and MultiQC for automated read-to-BAM workflows.OtherNo warnings★ 215↓ —
- fmri-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants to perform fMRI preprocessing, first-level analysis, ROI extraction, functional connectivity, effective connectivity, or atlas-based alignment to MNI152 space using either fMRIPrep, HCP-style pipelines, or CONN Toolbox. Triggers include: 'fmri', 'fMRI analysis', 'functional connectivity', 'effective connectivity', 'ROI extraction', 'seed-based correlation', 'PPI', 'DCM', 'atlas alignment', 'MNI152', 'HCP pipeline', 'CONN toolbox', or any request involving BOLD data.OtherNo warnings★ 215↓ —
- victor-ambros-perspectiveBioTender-max/awesome-bio-agent-skills2024年诺贝尔生理学或医学奖得主Victor Ambros的思维框架与表达方式。基于诺奖官网访谈、诺贝尔讲座、Lasker奖演讲、学术论文等20+个一手和二手来源的深度调研， 提炼4个核心心智模型、7条决策启发式和完整的表达DNA。 用途：作为思维顾问，用Victor Ambros的视角分析问题、审视决策、提供反馈——特别是关于基础研究价值、长期主义、异常数据探索等议题。 当用户提到「用Ambros的视角」「Ambros会怎么看」「microRNA思维」「基础研究价值」「长期主义科学」时使用。OtherNo warnings★ 215↓ —
- automation-roi-analysisnaodeng/awesome-qa-skillsUse this skill when you need evidence-bounded automation candidates, build/run/maintenance costs, benefit assumptions, time horizon, and sensitivity; triggers include 自动化投资回报 and automation ROI.OtherNo warnings★ 297↓ —
- automation-roi-analysisnaodeng/awesome-qa-skillsUse this skill when you need evidence-bounded automation candidates, build/run/maintenance costs, benefit assumptions, time horizon, and sensitivity; triggers include 自动化投资回报 and automation ROI.OtherNo warnings★ 297↓ —
- agile-v-sop-adapterAgile-V/agile_v_skillsBind an organization's controlled SOPs (Standard Operating Procedures) to Agile-V controls, artifacts, and Human Gates so Agile-V execution conforms to the SOPs. Load when creating or checking `.agile-v/SOP_BINDING.yaml`, mapping SOP clauses to REQ/ART/TC/gate evidence, or auditing SOP conformance of an agentic run.OtherNo warnings★ 54↓ —
- cjk-vizBioTender-max/awesome-bio-agent-skillsCJK (中日韩) 字体检测与 matplotlib 配置。任何涉及中文标签、标题、图例的 可视化任务启动前必须先执行本 skill 的字体检测流程，确保不会出现方块乱码。 适用于 matplotlib / seaborn / plotly 静态导出等场景。OtherNo warnings★ 215↓ —
- scvi-toolsBioTender-max/awesome-bio-agent-skillsDeep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.OtherNo warnings★ 215↓ —
- bio-atac-seq-atac-qcBioTender-max/awesome-bio-agent-skillsATAC-seq library quality control -- TSS enrichment, FRiP, fragment-size periodicity, library complexity (NRF/PBC1/PBC2), mitochondrial fraction, and ENCODE 4 thresholds. Use when assessing whether an ATAC-seq library passes ENCODE acceptance criteria, diagnosing transposition artefacts, comparing Omni-ATAC vs standard prep quality, or selecting which replicates to drop before peak calling.OtherNo warnings★ 215↓ —
- app-store-optimizationalirezarezvani/claude-code-skill-factoryComplete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play StoreOtherNo warnings★ 895↓ —
- regression-scope-analysisnaodeng/awesome-qa-skillsUse this skill when you need to define risk-based regression scope after a change or release; triggers include 回归范围分析 and regression scope analysis.OtherNo warnings★ 297↓ —
- distributed-trace-analysisnaodeng/awesome-qa-skillsUse this skill when you need to analyze distributed traces for call paths, latency, errors, and evidence gaps; triggers include 分布式 Trace 分析 and distributed trace analysis.OtherNo warnings★ 297↓ —
- eni-kalialicewe1/alice_skill全局自动路由 | Kali reference and toolingOtherNo warnings★ 62↓ —
- forms-and-inputzakariaf/Flutter-SkillsEnforces Form + GlobalKey<FormState> with TextFormField whose sync validator returns a localized String? (never a hardcoded literal), AutovalidateMode.onUserInteraction, async availability checks moved OUT of the sync validator into a debounced Riverpod Notifier that surfaces errors through state, FocusNode/TextInputAction/onFieldSubmitted traversal, keyboardType/textCapitalization/autofillHints/TextInputFormatter, mandatory TextEditingController/FocusNode disposal, submit-enabled derived from validity (not stored), and scoped rebuilds so a keystroke never rebuilds the whole form. Use when building a Form, TextFormField, or FormField; wiring sync or async validation; managing FocusNode, focus traversal, autofocus, TextInputAction, onFieldSubmitted, or onEditingComplete; setting keyboardType, autofillHints, textCapitalization, or InputFormatter; disposing TextEditingController/FocusNode; enabling/disabling a submit button; or handling keyboard-avoidance on submit.OtherNo warnings★ 65↓ —
- statusapache/magpieShow how Magpie is adopted in this repo — install method and pin, drift, wired agent targets, installed skill families, symlink health — and change that wiring from the same view. The change itself runs through the setup skill.OtherReview first★ 138↓ —
- umap-learnBioTender-max/awesome-bio-agent-skillsUMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.OtherNo warnings★ 215↓ —
continuous-learning
mturac/everything-openai-codex
OtherUpdated Aug 24, 2026
From the author
[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1; route continuous learning, session learning, and pattern extraction requests to continuous-learning-v2.
Install
npx skills add mturac/everything-openai-codex --skill continuous-learning -a claude-code
Installs to .claude/skills/continuous-learning/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Runs bundled scriptsNo network use seenLicence: MIT
Safety checks on SKILL.md
- Ships scripts we have not reviewedLow
Why 74
Security85
Provenance63
Maintenance85
Licence100
Adoption34
Files (3)
- SKILL.md
- config.json
- evaluate-session.sh