Shape agent capabilities into your workflow.

BioMate-KB packages 200 Bioconductor tools as agent skills, combining the 100 most-downloaded packages with 100 newer, fast-growing analysis packages across 12 domains. Each skill explains when to choose a package, which workflows it supports, important parameters, how to interpret results, and common pitfalls. Users can install the collection by package or domain for use in Claude Code.

Dexto is an agent harness for defining models, tools, and behavior in YAML rather than wiring every workflow by hand. It includes sessions, persistent memory, tool orchestration, multimodal input, and observability, with a ready-made coding agent as an example. Agents can run locally, in the cloud, or through CLI, web, REST, Discord, and Telegram interfaces.

dbt Agent Skills lets compatible assistants automatically load guidance when a natural-language request matches a dbt workflow. The collection covers model development and tests, MetricFlow semantic layers, dbt Mesh governance, job troubleshooting, command usage, and MCP configuration, with separate skills for one-off migrations to Fusion or across data platforms. Most workflows assume dbt is installed and configured and that the user is working in a project containing `dbt_project.yml`.

This agent skill helps consultants and business teams turn a company name into an AI opportunity map. It guides a web-search-capable agent through company and industry research, pain-point analysis, scenario discovery, prioritization, and implementation planning, with quick, standard, and deep report modes. The repository includes industry examples, analysis frameworks, and report templates. Research quality depends on the connected agent and its search and reasoning capabilities, and the supporting framework script requires Python 3.8 or later.

llm-wiki-skill has an agent compile raw material into a persistent Markdown knowledge base, handling writing, filing, cross-references, logs, and maintenance over time. Companion Obsidian and browser tools let users attach feedback to selected text and track open audits. The repository labels the skill experimental and expects it to evolve.

Install selected skills to help an AI coding agent build, maintain, and release native SwiftUI and AppKit applications. The bundle covers command-line Xcode builds, native window and menu patterns, Sparkle updates, notch overlays, and a GitHub release pipeline with packaging and notarization steps. It targets macOS 14+, Xcode 15+, and Swift 5.9+, while the newest Liquid Glass guidance requires newer Tahoe-era tooling.

Qinyan Academic Skills is a broad collection for literature search, scientific writing, reviews, research planning, Chinese national grant applications, bioinformatics, drug discovery, clinical research, machine learning, and data analysis. Researchers can install the full library or deploy a category or individual skill to Claude Code, Cursor, Codex, Gemini CLI, OpenClaw, and other supported tools.

COMPASS Skills helps preserve the context that usually disappears across long agent sessions. Its local workflows clarify ambiguous work, maintain a repository task graph, create paste-ready handoffs, and keep an auditable collaboration profile; additional skills turn execution history into new skill designs or upgrade plans. Runtime data stays local by default, but the user profile is stored as unencrypted plaintext and should not contain secrets.

Skillgrade scaffolds an eval.yaml for a SKILL.md directory, runs repeated tasks, and measures whether an agent discovers and applies the skill as intended. It supports Gemini, Claude, Codex, ACP, OpenCode, and custom command agents, with deterministic or LLM-rubric graders and CLI or browser reports. Node.js 20+ is required, while Docker, API credentials, or a local command depend on the selected executor.

SwarmClaw is a self-hosted runtime and dashboard for operating individual agents, swarms, and orchestrators. It provides durable memory, schedules and heartbeats, delegation, background jobs, MCP tools, and connections to many model APIs and coding-agent CLIs. It is aimed at long-running workflows that need observation and operator control, rather than an agent library embedded in another application.

NadirClaw is a self-hosted OpenAI-compatible proxy that classifies each prompt and routes it to a configured simple, mid-tier, or complex model. It can add fallback chains, spending limits, and optional context compaction while remaining compatible with tools such as Claude Code, Codex, and Cursor. The router runs locally and uses provider keys configured by the user. Its source-available core uses the PolyForm Noncommercial 1.0.0 license, so commercial use requires separate authorization.

These skills let an agent use the inference.sh CLI for image and video generation, LLM calls, web search, and social automation. The repository also includes JavaScript and Python SDK guidance, agent UI components, and workflow guides for content and product tasks. Cloud-backed use requires the belt CLI and an authenticated inference.sh account.

Give the skill a URL to run either a basic or full SEO audit and receive an HTML report organized around concrete fixes. Deterministic Python checks cover items such as HTTP behavior, robots and sitemaps, metadata, canonicals, and structured data, while the agent handles semantic judgments like keyword intent, content quality, and expected page type.

OpenSail lets teams build reusable agents, applications, and automations inside workspaces connected to systems such as Slack, email, issue trackers, repositories, internal APIs, and MCP servers. Jobs can start from schedules, buttons, webhooks, messages, or app events, with approvals, budgets, permissions, logs, and run history added as needed. Its desktop and web interfaces can run projects through local processes, Docker Compose, or Kubernetes for teams that want control over both agent behavior and deployment.

Add framework and architecture guidance for Angular, React, Next.js, TypeScript, Django, and other development work to agents such as Claude Code, Codex, Cursor, and OpenCode. The repository combines the maintainer's opinionated, battle-tested conventions with community skills accepted through voting, and manual setup places selected skills in each agent's expected directory.

OpenPackage is a CLI package manager for coding-agent rules, commands, subagents, skills, and MCP configuration. It tracks sources and dependencies, installs or removes selected components, and translates files into the target layout used by different AI coding platforms. It is designed for developers and teams that want to reuse the same agent setup across projects and tools instead of maintaining each configuration manually.

Use this curated directory to browse official resources and community skills for development, productivity, DevOps, data work, writing, and design across multiple coding assistants. It also provides an online search experience and several example skills. Its installer handles only the examples bundled in this repository, not every third-party project listed.

Gitagent represents an AI agent as a Git repository, with model configuration, identity, rules, memory, tools, skills, hooks, and workflows stored as reviewable files. You can fork an agent, branch its personality, diff rule changes, and inspect memory history with normal Git operations. The runtime supports OpenAI, Anthropic, and OpenAI-compatible providers, and requires Node.js, Git, and the relevant API credentials.