tiny-css
Write minimal, efficient CSS for small or minimalist projects by trusting the browser instead of fighting it. Only use this skill for personal sites, prototypes, simple landing pages, or projects intentionally kept lean — if the project has multiple developers, a component library, a design token system, or more than a handful of CSS files, a more comprehensive CSS approach is needed. If you're about to write a CSS reset, declare a base font-size on :root, set default colors on body, use px for spacing, or reach for physical margin/padding properties, this skill will stop you.
abuse-detection
Detect and analyze abusive accounts on Pollinations. IP clustering, multi-signal scoring, ban recommendations. Use when investigating abuse, bot farms, or suspicious usage patterns.
app-review
Review and process app submissions for the Pollinations showcase. Parse issues, validate submissions, create PRs, handle user corrections.
candidate-evaluation
Evaluate GitHub contributors for MLOps/engineering roles. Use when analyzing candidates, researching GitHub profiles, or updating CONTRIBUTORS.md with hiring assessments.
code-formatting
Format code on the current branch using Biome. Use when asked to format, lint, or clean up code before committing or creating a PR.
enter-services
Deploy and manage enter.pollinations.ai text/image services on EC2 and Cloudflare Workers. Requires: SSH keys, sops, wrangler.
issue-maker
Create GitHub issues following Pollinations team conventions. Use when asked to create issues, track work, or plan features.
model-debugging
Debug and diagnose model errors in Pollinations services. Analyze logs, find error patterns, identify affected users. For taking action on user tiers, see tier-management skill.
model-management
Add, update, or remove text/image/video models. Handles any provider.
monitor-services
Health check and auto-restart all Pollinations GPU services (Flux/Z-Image on RunPod, LTX-2 on GH200, Klein on RunPod, legacy image on OVH, Sana on Oracle Cloud). Use with /loop for recurring checks.
polli
Generate images, text, audio, video, and transcribe speech via the Pollinations API using the polli CLI. Use when asked to generate media, call pollinations.ai, check pollen balance, list models, manage API keys, or run polli commands.
provider-billing
Query billing, usage, credits, and resource deployments across all our cloud and SaaS providers (Azure, AWS, Cloudflare, GCP, Tinybird, Vercel, Stripe, Polar, etc.) via their native CLIs and APIs. Use for any question about provider costs, spend by service/day/month, credit eligibility, invoice totals, which resources are running, or how to deploy/inspect resources. Each provider has a dedicated playbook under `providers/`.
r2-glacier-migration
Monitor and manage R2 to AWS Glacier Deep Archive migration. Use when checking transfer status, resuming transfers, or managing the archive migration.
spending-analysis
Analyze Pollinations revenue, pack purchases, and tier spending patterns. Query Polar for payment history and Tinybird for usage data.
test-model
Test any model (text, image, video, audio) locally and via enter integration tests
tier-management
Evaluate and update Pollinations user tiers. Check balances, upgrade devs, batch process users. For finding users with errors, see model-debugging skill first.
tinybird-deploy
Deploy Tinybird pipes and datasources for enter.pollinations.ai observability. Validates and pushes changes to Tinybird Cloud.
voting-status
Create and post ASCII art voting status diagrams to GitHub issues and Discord. Use when asked to update voting, show voting results, or announce voting status.
web-research
Query Pollinations text API with web-search models (gemini-search, perplexity-fast, nomnom, etc.). Use when you need web search grounded answers via Pollinations.
founder-meditation
When something goes wrong — build failures, crashes, errors, test failures, deployment issues — generate a short calming meditation with TTS audio to reassure the user that everything will be okay.
playstore-competitor-analysis
Research and analyze competitor apps on the Google Play Store. Extracts app metadata (title, description, rating, reviews, category, developer, version, price, installs) and downloads screenshots. Supports analyzing multiple competitor apps for comparison, or searching for top competitors by keyword. Use when user wants to analyze competitors, research Play Store listings, gather competitive intelligence, compare multiple apps, or find top apps in a category. Triggers on Play Store URLs (play.google.com), app package IDs, or requests like "analyze competitor", "research this app", "compare these apps", "top 10 messenger apps", "find competitors for X".
paper-narrative-rearrange
对科研文稿进行润色或语言重新组织。
jupyter-notebook
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
bioinformatics-log-resume
为生物信息学多样本批处理脚本设计、实现或审查基于日志的断点续跑。用于 bash/shell 主控脚本需要支持中断后重跑、并行写日志防竞争、按样本写入 success.log 和 fail.log、并且明确禁止通过扫描输出目录或输出文件判断完成状态的场景。适用于给现有流水线补加断点续跑、重构样本循环、或检查实现是否只依赖日志判定完成。
code-visualization-palette
用于代码驱动的数据可视化配色约束。凡是生成、修改、审查或解释 Python、R 及其他绘图库的可视化代码或图形样式时都应使用本技能，并强制按照基于 color.md 整理的规则选择离散、连续单色或连续双色配色并生成所需数量的颜色。若用户已经手动指定新的颜色、新的色板或新的配色方案，则不使用本技能。
gotree-phylogenetic-tree
使用 Gotree 命令行对系统发育树进行读取、检查、重定根、修剪、重命名、格式转换、支持度与枝长处理、折叠、比较、绘图、距离矩阵导出、随机树生成与远程下载上传。适用于 Newick、NEXUS、PhyloXML、Nextstrain/Augur v2 树文件的批处理、管道式工作流和终端自动化；涉及多序列比对请改用 goalign，涉及 Python 树分析请按需使用 biopython 或 scikit-bio。
pipeline-coding-standard
编写或者修改代码至符合规范科研和数据处理的流水线(pipeline)。仅适用于科研、分析pipeline；不要用于普通单文件小工具、Web 前端、通用库开发或 Notebook 探索分析。
pipeline-job-splitting
将已有的粗粒度科研、分析或生物信息学管线拆分为多个细粒度单核 HPC 子任务。用于 bash/shell 主控流程需要按样本列表、区域列表、染色体列表或其他任务清单切分，并为每个子任务生成独立配置文件和调度脚本的场景。适用于 LSF 优先的 HPC 提交重构、细粒度任务提交、粗粒度任务拆解为多个单核子任务、high-throughput submission、job splitting 或 scatter 风格改造。默认保留原有分析逻辑，只重构任务切分、配置派生与手动作业提交层。
python-dual-mode
将既有或新编写的 Python 脚本重构为双模式模块，用于稳定、可维护的数据处理流。
python-plot-editable-fonts
在Python数据可视化输出中强制使用可编辑的矢量字体文本。凡是在创建或修改Python绘图代码时（matplotlib、seaborn、pandas绘图库），均应使用这一设置，以确保导出的PDF/PS/SVG图像保留可编辑文本状态，避免将字形转换为路径。
r-pheatmap-pairwise-matrix
使用pheatmap包生成R代码以进行配对矩阵可视化。当用户明确要求生成R的pheatmap热图，针对配对矩阵，并在输入矩阵以矩阵形式、tidylong表或tidywide数据框传输，以及可能添加行和列的样本-组别标注时，请使用此类代码。
r-style
编写、生成、修改、补充、优化 R 代码时使用此 skill。凡是用户请求涉及 R 语言脚本、R 分析代码、R 可视化代码、R 数据处理代码，或者用户说"用 R 写"、"R 代码"、"写个 R 脚本"时，必须遵循本 skill 的风格规范。
tidyplots-plot-builder
生成和修复基于 tidyplots 的 R 绘图工作流。用于用户要求使用 tidyplots 包进行绘图、改图、配色优化、统计标注、分面输出、导出 PDF/PNG、多图排版、报错排查（如找不到函数/包）等场景。输入可以是数据结构描述、列名、目标图形类型、风格约束或期刊图规范。
clinvar-database
查询NCBI ClinVar变异临床意义数据库。按基因/位置搜索，解释致病性分类，通过E-utilities API或FTP访问，注释VCF文件，用于基因组医学。
ensembl-database
查询Ensembl基因组数据库REST API，覆盖250多个物种。基因查找、序列检索、变异分析、比较基因组学、同源基因、VEP预测，用于基因组研究。
gene-database
通过E-utilities/Datasets API查询NCBI基因数据库。按基因符号/ID搜索，获取基因信息(RefSeqs、GO、位置、表型)，批量查找，用于基因注释和功能分析。
geo-database
访问NCBI GEO基因表达/基因组数据库。搜索/下载微阵列和RNA测序数据集(GSE、GSM、GPL)，获取SOFT/Matrix文件，用于转录组学和表达分析。
gwas-database
查询NHGRI-EBI GWAS目录中的SNP-性状关联。通过rs ID、疾病/性状、基因搜索变异，获取p值和汇总统计信息，用于遗传流行病学和多基因风险评分。
pubmed-database
直接访问PubMed REST API。高级布尔/MeSH查询、E-utilities API、批量处理、引文管理。对于Python工作流，建议使用biopython (Bio.Entrez)。此技能适用于直接HTTP/REST操作或自定义API实现。
uniprot-database
直接访问UniProt REST API。蛋白质搜索、FASTA序列获取、ID映射、Swiss-Prot/TrEMBL数据库。对于涉及多个数据库的Python工作流，建议使用bioservices（统一接口覆盖40多个服务）。此技能适用于直接HTTP/REST操作或UniProt特定控制。
anndata
单细胞分析中带注释矩阵的数据结构。用于处理.h5ad文件或与scverse生态系统集成。这是数据格式技能——用于分析工作流请使用scanpy；用于概率模型请使用scvi-tools；用于群体规模查询请使用cellxgene-census。
biopython
综合分子生物学工具包。用于序列操作、文件解析(FASTA/GenBank/PDB)、系统发育学和程序化NCBI/PubMed访问(Bio.Entrez)。最适合批处理、定制生物信息学管道、BLAST自动化。快速查找请使用gget；多服务集成请使用bioservices。
gget
快速CLI/Python查询20+生物信息学数据库。用于快速查找：基因信息、BLAST搜索、AlphaFold结构、富集分析。最适合交互式探索、简单查询。批处理或高级BLAST请使用biopython；多数据库Python工作流请使用bioservices。
pydeseq2
差异基因表达分析(Python DESeq2)。从bulk RNA-seq计数中识别差异表达基因，Wald检验，FDR校正，火山图/MA图，用于RNA-seq分析。
pysam
基因组文件工具包。读写SAM/BAM/CRAM比对文件、VCF/BCF变异文件、FASTA/FASTQ序列，提取区域，计算覆盖度，用于NGS数据处理管道。
scanpy
标准单细胞RNA-seq分析管道。用于质控、标准化、降维(PCA/UMAP/t-SNE)、聚类、差异表达和可视化。最适合具有成熟工作流的探索性scRNA-seq分析。深度学习模型请使用scvi-tools；数据格式问题请使用anndata。
scikit-bio
生物数据工具包。序列分析、比对、系统发育树、多样性度量(alpha/beta, UniFrac)、排序(PCoA)、PERMANOVA、FASTA/Newick I/O，用于微生物组分析。
scvi-tools
单细胞组学深度生成模型。当需要概率批次校正(scVI)、迁移学习、带不确定性的差异表达或多模态集成(TOTALVI, MultiVI)时使用。最适合高级建模、批次效应、多模态数据。标准分析管道请使用scanpy。
opencli-explorer
Use when creating a new OpenCLI adapter from scratch, adding support for a new website or platform, or exploring a site's API endpoints via browser DevTools. Covers API discovery workflow, authentication strategy selection, YAML/TS adapter writing, and testing.
opencli-oneshot
Use when quickly generating a single OpenCLI command from a specific URL and goal description. 4-step process — open page, capture API, write YAML adapter, test. For full site exploration, use opencli-explorer instead.
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