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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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m01-ownership

CRITICAL: Use for ownership/borrow/lifetime issues. Triggers: E0382, E0597, E0506, E0507, E0515, E0716, E0106, value moved, borrowed value does not live long enough, cannot move out of, use of moved value, ownership, borrow, lifetime, 'a, 'static, move, clone, Copy, 所有权, 借用, 生命周期

actionbook
actionbook
96588

m07-concurrency

CRITICAL: Use for concurrency/async. Triggers: E0277 Send Sync, cannot be sent between threads, thread, spawn, channel, mpsc, Mutex, RwLock, Atomic, async, await, Future, tokio, deadlock, race condition, 并发, 线程, 异步, 死锁

actionbook
actionbook
96588

m02-resource

CRITICAL: Use for smart pointers and resource management. Triggers: Box, Rc, Arc, Weak, RefCell, Cell, smart pointer, heap allocation, reference counting, RAII, Drop, should I use Box or Rc, when to use Arc vs Rc, 智能指针, 引用计数, 堆分配

actionbook
actionbook
96588

rust-code-navigator

Navigate Rust code using LSP. Triggers on: /navigate, go to definition, find references, where is defined, 跳转定义, 查找引用, 定义在哪, 谁用了这个

actionbook
actionbook
96588

m09-domain

CRITICAL: Use for domain modeling. Triggers: domain model, DDD, domain-driven design, entity, value object, aggregate, repository pattern, business rules, validation, invariant, 领域模型, 领域驱动设计, 业务规则

actionbook
actionbook
96588

m10-performance

CRITICAL: Use for performance optimization. Triggers: performance, optimization, benchmark, profiling, flamegraph, criterion, slow, fast, allocation, cache, SIMD, make it faster, 性能优化, 基准测试

actionbook
actionbook
96588

m11-ecosystem

Use when integrating crates or ecosystem questions. Keywords: E0425, E0433, E0603, crate, cargo, dependency, feature flag, workspace, which crate to use, using external C libraries, creating Python extensions, PyO3, wasm, WebAssembly, bindgen, cbindgen, napi-rs, cannot find, private, crate recommendation, best crate for, Cargo.toml, features, crate 推荐, 依赖管理, 特性标志, 工作空间, Python 绑定

actionbook
actionbook
96588

m12-lifecycle

Use when designing resource lifecycles. Keywords: RAII, Drop, resource lifecycle, connection pool, lazy initialization, connection pool design, resource cleanup patterns, cleanup, scope, OnceCell, Lazy, once_cell, OnceLock, transaction, session management, when is Drop called, cleanup on error, guard pattern, scope guard, 资源生命周期, 连接池, 惰性初始化, 资源清理, RAII 模式

actionbook
actionbook
96588

m13-domain-error

Use when designing domain error handling. Keywords: domain error, error categorization, recovery strategy, retry, fallback, domain error hierarchy, user-facing vs internal errors, error code design, circuit breaker, graceful degradation, resilience, error context, backoff, retry with backoff, error recovery, transient vs permanent error, 领域错误, 错误分类, 恢复策略, 重试, 熔断器, 优雅降级

actionbook
actionbook
96588

m14-mental-model

Use when learning Rust concepts. Keywords: mental model, how to think about ownership, understanding borrow checker, visualizing memory layout, analogy, misconception, explaining ownership, why does Rust, help me understand, confused about, learning Rust, explain like I'm, ELI5, intuition for, coming from Java, coming from Python, 心智模型, 如何理解所有权, 学习 Rust, Rust 入门, 为什么 Rust

actionbook
actionbook
96588

m15-anti-pattern

Use when reviewing code for anti-patterns. Keywords: anti-pattern, common mistake, pitfall, code smell, bad practice, code review, is this an anti-pattern, better way to do this, common mistake to avoid, why is this bad, idiomatic way, beginner mistake, fighting borrow checker, clone everywhere, unwrap in production, should I refactor, 反模式, 常见错误, 代码异味, 最佳实践, 地道写法

actionbook
actionbook
96588

meta-cognition-parallel

EXPERIMENTAL: Three-layer parallel meta-cognition analysis. Triggers on: /meta-parallel, 三层分析, parallel analysis, 并行元认知

actionbook
actionbook
96588

rust-call-graph

Visualize Rust function call graphs using LSP. Triggers on: /call-graph, call hierarchy, who calls, what calls, 调用图, 调用关系, 谁调用了, 调用了谁

actionbook
actionbook
96588

rust-daily

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actionbook
actionbook
96588

rust-deps-visualizer

Visualize Rust project dependencies as ASCII art. Triggers on: /deps-viz, dependency graph, show dependencies, visualize deps, 依赖图, 依赖可视化, 显示依赖

actionbook
actionbook
96588

rust-learner

Use when asking about Rust versions or crate info. Keywords: latest version, what's new, changelog, Rust 1.x, Rust release, stable, nightly, crate info, crates.io, lib.rs, docs.rs, API documentation, crate features, dependencies, which crate, what version, Rust edition, edition 2021, edition 2024, cargo add, cargo update, 最新版本, 版本号, 稳定版, 最新, 哪个版本, crate 信息, 文档, 依赖, Rust 版本, 新特性, 有什么特性

actionbook
actionbook
96588

rust-refactor-helper

Safe Rust refactoring with LSP analysis. Triggers on: /refactor, rename symbol, move function, extract, 重构, 重命名, 提取函数, 安全重构

actionbook
actionbook
96588

rust-router

"CRITICAL: Use for ALL Rust questions including errors, design, and coding.

actionbook
actionbook
96588

rust-skill-creator

Use when creating skills for Rust crates or std library documentation. Keywords: create rust skill, create crate skill, create std skill, 创建 rust skill, 创建 crate skill, 创建 std skill, 动态 rust skill, 动态 crate skill, skill for tokio, skill for serde, skill for axum, generate rust skill, rust 技能, crate 技能, 从文档创建skill, from docs create skill

actionbook
actionbook
96588

rust-symbol-analyzer

Analyze Rust project structure using LSP symbols. Triggers on: /symbols, project structure, list structs, list traits, list functions, 符号分析, 项目结构, 列出所有, 有哪些struct

actionbook
actionbook
96588

rust-trait-explorer

Explore Rust trait implementations using LSP. Triggers on: /trait-impl, find implementations, who implements, trait 实现, 谁实现了, 实现了哪些trait

actionbook
actionbook
96588

unsafe-checker

CRITICAL: Use for unsafe Rust code review and FFI. Triggers on: unsafe, raw pointer, FFI, extern, transmute, *mut, *const, union, #[repr(C)], libc, std::ffi, MaybeUninit, NonNull, SAFETY comment, soundness, undefined behavior, UB, safe wrapper, memory layout, bindgen, cbindgen, CString, CStr, 安全抽象, 裸指针, 外部函数接口, 内存布局, 不安全代码, FFI 绑定, 未定义行为

actionbook
actionbook
96588

code-refactor

Systematic code refactoring based on Martin Fowler's methodology. Use when users ask to refactor code, improve code structure, reduce technical debt, clean up legacy code, eliminate code smells, or improve code maintainability. This skill guides through a phased approach with research, planning, and safe incremental implementation.

luongnv89
luongnv89
95761

blog-draft

Draft a blog post from ideas and resources. Use when users want to write a blog post, create content from research, or draft articles. Guides through research, brainstorming, outlining, and iterative drafting with version control.

luongnv89
luongnv89
95761

brand-voice-consistency

Ensure all communication matches brand voice and tone guidelines. Use when creating marketing copy, customer communications, public-facing content, or when users mention brand voice, tone, or writing style.

luongnv89
luongnv89
95761

code-review-specialist

Comprehensive code review with security, performance, and quality analysis. Use when users ask to review code, analyze code quality, evaluate pull requests, or mention code review, security analysis, or performance optimization.

luongnv89
luongnv89
95761

api-documentation-generator

Generate comprehensive, accurate API documentation from source code. Use when creating or updating API documentation, generating OpenAPI specs, or when users mention API docs, endpoints, or documentation.

luongnv89
luongnv89
95761

skill-from-masters

Help users create high-quality skills by discovering and incorporating proven methodologies from domain experts. Use this skill BEFORE skill-creator when users want to create a new skill - it enhances skill-creator by first identifying expert frameworks and best practices to incorporate. Triggers on requests like "help me create a skill for X" or "I want to make a skill that does Y". This skill guides methodology selection, then hands off to skill-creator for the actual skill generation.

GBSOSS
GBSOSS
956106

changelog-generator

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

skillcreatorai
skillcreatorai
954107

database-design

Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases. Use for designing schemas, writing migrations, or optimizing queries.

skillcreatorai
skillcreatorai
954107

content-research-writer

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

skillcreatorai
skillcreatorai
954107

ask-questions-if-underspecified

Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.

skillcreatorai
skillcreatorai
954107

backend-development

Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.

skillcreatorai
skillcreatorai
954107

code-documentation

Writing effective code documentation - API docs, README files, inline comments, and technical guides. Use for documenting codebases, APIs, or writing developer guides.

skillcreatorai
skillcreatorai
954107

best-practices

>-

skillcreatorai
skillcreatorai
954107

video-downloader

Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.

skillcreatorai
skillcreatorai
954107

llm-application-dev

Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.

skillcreatorai
skillcreatorai
954107

lead-research-assistant

Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.

skillcreatorai
skillcreatorai
954107

job-application

Write tailored cover letters and job applications using your CV and preferred style

skillcreatorai
skillcreatorai
954107

omicverse-visualization-for-bulk-color-systems-and-single-cell-d

OmicVerse plotting: volcano, venn, boxplot, embedding, density, heatmap families, dotplot, convex hull, stacked bar, and Forbidden City color palettes.

starlitnightly
starlitnightly
947116

single-cell-downstream-analysis

AUCell pathway scoring, metacell DEG, scDrug response, SCENIC regulons, cNMF programs, and NOCD community detection in OmicVerse.

starlitnightly
starlitnightly
947116

single-cell-clustering-and-batch-correction-with-omicverse

Single-cell clustering (Leiden, Louvain, scICE, GMM), batch correction (Harmony, scVI, BBKNN, Combat), topic modeling, and cNMF in OmicVerse.

starlitnightly
starlitnightly
947116

bulk-rna-seq-batch-correction-with-combat

Bulk RNA-seq batch correction with pyComBat: remove batch effects from merged cohorts, export corrected matrices, and benchmark visualizations.

starlitnightly
starlitnightly
947116

biocontext-knowledge-queries

BioContext knowledge: UniProt, AlphaFold, STRING, Reactome, GO, PanglaoDB, PubMed, OpenTargets queries via ov.biocontext for gene annotation.

starlitnightly
starlitnightly
947116

bulk-rna-seq-deseq2-analysis-with-omicverse

PyDESeq2 differential expression: ID mapping, DE testing, fold-change thresholding, and GSEA enrichment visualization in OmicVerse.

starlitnightly
starlitnightly
947116

bulk-rna-seq-differential-expression-with-omicverse

Bulk RNA-seq DEG pipeline: gene ID mapping, DESeq2 normalization, statistical testing, volcano plots, and pathway enrichment in OmicVerse.

starlitnightly
starlitnightly
947116

string-protein-interaction-analysis-with-omicverse

STRING protein-protein interaction network analysis with pyPPI: query STRING database, build PPI graphs, expand with add_nodes, and visualize styled networks for bulk gene lists.

starlitnightly
starlitnightly
947116

bulk-rna-seq-deconvolution-with-bulk2single

Turn bulk RNA-seq cohorts into synthetic single-cell datasets using omicverse's Bulk2Single workflow for cell fraction estimation, beta-VAE generation, and quality control comparisons against reference scRNA-seq.

starlitnightly
starlitnightly
947116

single-cell-cellphonedb-communication-mapping

CellPhoneDB v5 ligand-receptor analysis, CellChatViz plots, and the newer ccc_heatmap / ccc_network_plot / ccc_stat_plot communication visualizations in OmicVerse.

starlitnightly
starlitnightly
947116

cellfate-pseudotime-gene-analysis

CellFateGenie: Adaptive Threshold Regression for pseudotime-associated gene discovery, Mellon density, lineage scoring via ov.single.Fate.

starlitnightly
starlitnightly
947116

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.