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Found 1,407 Skills
Copywriting and content creation standards for website pages, blog posts, and all written copy. Covers headlines, ledes, readability, niche vocabulary, scannable formatting, and persuasive structure. Cross-cutting skill — apply whenever...
Write, scaffold, explain, and debug plugins for the Pelican gaming panel. Use this skill whenever the user mentions Pelican plugins, extending Pelican, FilamentPHP resources or pages for Pelican, plugin service providers, custom permissions, plugin settings, routes, models, widgets, or asks how to add new functionality to the Pelican panel.
GCC Embedded Project Build Tool (CMake + arm-none-eabi-gcc), used to scan CMake-based embedded projects, list presets, configure, compile, rebuild, clean, and analyze ELF size. It is automatically triggered when users mention GCC, arm-none-eabi, CMake embedded compilation, Ninja build, ELF size analysis, arm-gcc, cross-compilation, cmake --build, cmake --preset, and also supports explicit invocation via /gcc. Even if users just say "compile" or "check firmware size", this skill should be triggered as long as the context involves CMake-based embedded GCC projects.
Write, scaffold, and debug Go CLI applications with `github.com/spf13/cobra`. Use this skill whenever the user mentions Cobra, `cobra.Command`, a Go command-line app, subcommands, persistent or local flags, required flags, argument validation, shell completions, generated docs, or wants to build or refactor a cobra-based CLI.
Cognitive Scaffolding structures an agent's context window using principles from cognitive science — primacy effects, recency bias, chunking, and attention allocation.
Install the full development workflow into a Claude Code project: slash commands for breakdown, spec, work, commit, review, PR, security scanning, and issue triage; agents for architecture, implementation, quality review, and git management. Run this after the greenfield or brownfield skill has set up the project foundation. Trigger phrases: "/workflow", "install workflow", "set up commands", "set up agents", "install breakdown and work commands", "configure my workflow", "install the development workflow".
Work with the DatoCMS CLI tool (datocms) for command-line migrations, schema type generation, direct one-off CMA calls, typed one-off TypeScript CMA scripts, environment operations, deployment workflows, and multi-project profile syncing. Use when users ask for datocms CLI commands or scripts such as migrations:new, migrations:run, schema:generate, cma:call, cma:docs, cma:script (for ad-hoc typed TypeScript scripts with ambient client/Schema globals), migration scaffolding for models/fields/blocks, CLI setup with datocms.config.json and profiles, OAuth authentication (login, logout, whoami), discovering accessible projects (projects:list), project linking (link, unlink), environment commands (list/fork/promote/rename/destroy), maintenance-mode toggling, CI/CD migration pipelines, blueprint/client project sync, imports from WordPress or Contentful (including assets/content), and CLI plugin management (plugins:install, plugins:add, plugins:available, plugins:link for local plugin development, plugins:remove, plugins:update, plugins:reset, plugins:inspect).
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.
Guide AI-assisted learning that empowers learners while maintaining appropriate boundaries. Use when teaching, explaining concepts, or helping someone who is struggling to understand.
Best practices and guidelines for building real-time applications with WebSocket communication
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
In-depth analysis of AI papers, generating professional reading notes ready for direct publication