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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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spacy-ner

spaCy NER model training and entity extraction for conversational AI

a5c-ai
a5c-ai
1,52087

spec-creation

Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.

a5c-ai
a5c-ai
1,52087

spec-driven-development

Specification creation and management for the Pilot Shell methodology. Covers semantic search, clarifying questions, structured spec generation, and iterative refinement.

babysitter-sdk
babysitter-sdk
1,52087

spec-execution

6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.

a5c-ai
a5c-ai
1,52087

specification-generation

Convert requirements into structured technical specifications with architecture decisions

a5c-ai
a5c-ai
1,52087

specification-writing

Write feature specifications as requirements and user stories with acceptance criteria, focusing on business value and testable conditions.

a5c-ai
a5c-ai
1,52087

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

babysitter-sdk
babysitter-sdk
1,52087

story-decomposition

Break technical specifications into small, implementable stories with dependency ordering

a5c-ai
a5c-ai
1,52087

strict-tdd

Strict RED->GREEN->REFACTOR test-driven development with enforcement. Never write production code before a failing test. Atomic commits per TDD cycle.

babysitter-sdk
babysitter-sdk
1,52087

string-algorithm-matcher

Match string problems to appropriate algorithms

a5c-ai
a5c-ai
1,52087

subagent-driven-development

Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.

a5c-ai
a5c-ai
1,52087

suffix-structure-builder

Build and query suffix arrays and related structures

a5c-ai
a5c-ai
1,52087

systematic-debugging

Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.

a5c-ai
a5c-ai
1,52087

task-decomposition

Convert technical plans into actionable development tasks with dependency graphs, effort estimates, and parallelization opportunities.

a5c-ai
a5c-ai
1,52087

tdd-enforcement

Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.

a5c-ai
a5c-ai
1,52087

template-scaffolding

Template loading, variable filling, and scaffolding for all GSD artifacts. Manages 22+ templates covering every document type in the GSD system, from PROJECT.md to milestone archives.

babysitter-sdk
babysitter-sdk
1,52087

test-case-generator

Generate comprehensive test cases including edge cases, stress tests, and counter-examples for algorithm correctness verification. Supports random generation, constraint-based generation, and brute force oracle comparison.

babysitter-sdk
babysitter-sdk
1,52087

test-driven-development

Strict RED-GREEN-REFACTOR cycle enforcement. Tests are never skipped or deferred. Run mode only, never watch mode. Exit code evidence mandatory.

a5c-ai
a5c-ai
1,52087

test-enforcement

Automated test validation, coverage checking, and quality metrics with aggressive defaults

a5c-ai
a5c-ai
1,52087

using-git-worktrees

Use when starting feature work that needs isolation from current workspace or before executing implementation plans.

a5c-ai
a5c-ai
1,52087

using-superpowers

Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.

a5c-ai
a5c-ai
1,52087

vector-memory

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

a5c-ai
a5c-ai
1,52087

verification

Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.

a5c-ai
a5c-ai
1,52087

verification-before-completion

Evidence requirement enforcement ensuring all claims are backed by logs, test results, or exit codes. Zero = success, non-zero = failure. No guessing allowed.

a5c-ai
a5c-ai
1,52087

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

babysitter-sdk
babysitter-sdk
1,52087

visual-pattern-induction

Induce visual patterns from examples — few-shot visual reasoning, grid-based pattern recognition, and ARC-style inductive inference.

a5c-ai
a5c-ai
1,52087

weaviate-integration

Weaviate vector database setup with GraphQL queries and hybrid search

a5c-ai
a5c-ai
1,52087

work-decomposition

Decompose goals into MEOWs (Molecular Expressions of Work) - trackable atomic units following Gas Town's bead-based work model.

a5c-ai
a5c-ai
1,52087

worktree-isolation

Git worktree management for safe, isolated feature development. Creates, manages, and cleans up worktrees with branch naming and dependency setup.

babysitter-sdk
babysitter-sdk
1,52087

work-unit-decomposition

Decompose implementation plans into discrete work units with enumerated DoD items, file scope declarations, dependency mapping, and human checkpoint flags.

a5c-ai
a5c-ai
1,52087

writing-plans

Use when you have a spec or requirements for a multi-step task, before touching code. Creates bite-sized TDD implementation plans with dependency tracking.

a5c-ai
a5c-ai
1,52087

writing-skills

Use when creating new skills, editing existing skills, or verifying skills work before deployment.

a5c-ai
a5c-ai
1,52087

zep-memory-integration

Zep memory server integration for long-term conversation memory and user profiling

a5c-ai
a5c-ai
1,52087

swarm-orchestration

Multi-agent swarm formation and coordinated execution with topology-aware agent deployment, consensus protocols, and anti-drift enforcement.

a5c-ai
a5c-ai
1,52087

coding-guidelines

Use when asking about Rust code style or best practices. Keywords: naming, formatting, comment, clippy, rustfmt, lint, code style, best practice, P.NAM, G.FMT, code review, naming convention, variable naming, function naming, type naming, 命名规范, 代码风格, 格式化, 最佳实践, 代码审查, 怎么命名

actionbook
actionbook
1,489116

core-actionbook

Internal support skill for actionbook MCP selectors used by Rust documentation research workflows. Use only when another rust-skills workflow explicitly requests actionbook-backed selectors.

actionbook
actionbook
1,489116

core-agent-browser

Internal support skill for agent-browser CLI workflows used by rust-learner, docs-researcher, and crate-researcher. Use only when browser automation is explicitly required.

actionbook
actionbook
1,489116

core-dynamic-skills

Internal command support for dynamic Rust crate skill management. Use only when explicitly invoked by /sync-crate-skills, /clean-crate-skills, or /update-crate-skill.

actionbook
actionbook
1,489116

core-fix-skill-docs

Internal maintenance support for checking and fixing generated Rust skill documentation references. Use only when explicitly invoked by /fix-skill-docs.

actionbook
actionbook
1,489116

domain-cli

Use when building CLI tools. Keywords: CLI, command line, terminal, clap, structopt, argument parsing, subcommand, interactive, TUI, ratatui, crossterm, indicatif, progress bar, colored output, shell completion, config file, environment variable, 命令行, 终端应用, 参数解析

actionbook
actionbook
1,489116

domain-cloud-native

Use when building cloud-native apps. Keywords: kubernetes, k8s, docker, container, grpc, tonic, microservice, service mesh, observability, tracing, metrics, health check, cloud, deployment, 云原生, 微服务, 容器

actionbook
actionbook
1,489116

domain-embedded

Use when developing embedded/no_std Rust. Keywords: embedded, no_std, microcontroller, MCU, ARM, RISC-V, bare metal, firmware, HAL, PAC, RTIC, embassy, interrupt, DMA, peripheral, GPIO, SPI, I2C, UART, embedded-hal, cortex-m, esp32, stm32, nrf, 嵌入式, 单片机, 固件, 裸机

actionbook
actionbook
1,489116

domain-fintech

Use when building fintech apps. Keywords: fintech, trading, decimal, currency, financial, money, transaction, ledger, payment, exchange rate, precision, rounding, accounting, 金融, 交易系统, 货币, 支付

actionbook
actionbook
1,489116

domain-iot

Use when building IoT apps. Keywords: IoT, Internet of Things, sensor, MQTT, device, edge computing, telemetry, actuator, smart home, gateway, protocol, 物联网, 传感器, 边缘计算, 智能家居

actionbook
actionbook
1,489116

domain-ml

Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理

actionbook
actionbook
1,489116

domain-web

Use when building web services. Keywords: web server, HTTP, REST API, GraphQL, WebSocket, axum, actix, warp, rocket, tower, hyper, reqwest, middleware, router, handler, extractor, state management, authentication, authorization, JWT, session, cookie, CORS, rate limiting, web 开发, HTTP 服务, API 设计, 中间件, 路由

actionbook
actionbook
1,489116

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
1,489116

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
1,489116

m03-mutability

CRITICAL: Use for mutability issues. Triggers: E0596, E0499, E0502, cannot borrow as mutable, already borrowed as immutable, mut, &mut, interior mutability, Cell, RefCell, Mutex, RwLock, 可变性, 内部可变性, 借用冲突

actionbook
actionbook
1,489116

m04-zero-cost

CRITICAL: Use for generics, traits, zero-cost abstraction. Triggers: E0277, E0308, E0599, generic, trait, impl, dyn, where, monomorphization, static dispatch, dynamic dispatch, impl Trait, trait bound not satisfied, 泛型, 特征, 零成本抽象, 单态化

actionbook
actionbook
1,489116

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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.