AI Agent Skills Marketplace
72 skills and agents available
CRA Mileage Log Skill for AI Agents
Help your AI assistant keep a CRA-style mileage log for a Canadian vehicle: date, purpose, destination, start and end odometer, and kilometres for each trip, with totals, business-use % and per-km allowance figures from the Tallyfern Rates MCP, each with its source and as-of date. Not tax advice.
Agent Skill Sampler - GitHub PR Review + Gemini Image Generation
Two free agent skills in one: read-only GitHub (PRs awaiting your review, CI status, issues and notifications through your existing gh CLI login, no keys) and nano-banana-pro image generation and editing with Google Gemini 3 Pro Image. Works in Claude Code, Cursor and any agent that loads SKILL.md skills.
X Article: From Notes to a Publish-Ready Package
Plan, write, and package a long-form X Article (the x.com long-form format with title, cover image, headings and inline images) from notes, research, or a rough draft. Covers angle and hook, section outline with image slots, drafting, an evidence pass that removes unsupported numbers, a plain-style edit, alt text, and the promo post. Use for X Articles, not single posts or numbered threads. Made by Dani Acosta, follow on X: https://x.com/DaniAcostaAI
AEO / GEO Site: Build and Audit for AI Answer Engines
Audit or build a website so it is found by search engines and understood, quoted, and cited by AI answer engines (ChatGPT search, Perplexity, Claude, Copilot, Gemini, Google AI Overviews). Use when shipping or reviewing pages, writing schema.org JSON-LD, robots.txt, sitemap.xml or llms.txt, scoring a site for AEO/GEO readiness, or turning an audit into a prioritized fix list. Made by Dani Acosta, follow on X: https://x.com/DaniAcostaAI
era1-offer-writer
Draft a short, buyer-facing freelance offer from a job brief. Use when writing bids, proposals, or fixed-scope service quotes.
Orchestrator Verify Agent Deliverables
Scorecard skill to fact-check Hermes/Agy/Grok outputs before shipping or claiming money moved — blocks confabulation and fake payouts.
BrandLoom: Project Logos & Covers
Need a logo and cover that feel like they belong to the same project? BrandLoom helps you turn your project idea into a clear, consistent visual set. It reads the project information, files, links, and brand materials you provide, then asks one simple question at a time. You choose the wording, style, fonts, characters, layout, language, and image size before anything is created. BrandLoom can make a square project logo image, a wide cover, and a GitHub social preview in Chinese, English, or both. It can reuse your existing company logo and approved brand assets, keep important text clear, save new versions without replacing old ones, and help with later edits, translations, and style changes. It is made for solo founders, indie developers, AI builders, creators, and anyone launching a GitHub project, Skill, app, or digital product. Made for Codex. Full image creation requires Python 3.12 or newer and access to Codex's built-in image tool.
momentic-test
# Momentic model Momentic turns structured natural language into browser automation using forked Playwright, CDP, and custom agents. Interactive steps resolve natural-language targets, assertions can use multimodal models, and AI actions can complete broader goals. # Project files and formats Tests use `*.test.yaml`; reusable modules use `*.module.yaml`. Test IDs live in the test file's `id` field. Check `momentic.config.yaml` and test-level metadata before assuming project defaults apply. `fileType: moment
context-engineering
# Context Engineering ## Overview Feed agents the right information at the right time. Context is the single biggest lever for agent output quality — too little and the agent hallucinates, too much and it loses focus. Context engineering is the practice of deliberately curating what the agent sees, when it sees it, and how it's structured. ## When to Use - Starting a new coding session - Agent output quality is declining (wrong patterns, hallucinated APIs, ignoring conventions) - Switching between different
momentic-mobile-test
# Momentic model Momentic Mobile turns structured natural language into native and webview automation on Android emulators and iOS simulators. Interactive steps resolve targets into device actions; assertions can inspect screenshots, native hierarchies, and webview state. # Project files and formats Mobile tests use `*.test.yaml`; modules use `*.module.yaml`. Test IDs live in the test file's `id` field. Check `momentic.config.yaml` and test-level metadata before assuming project defaults apply. `fileType: m
agent-pulse
# Agent Pulse ## Purpose Use the installed `agent-pulse` CLI as the source of truth for local AI-agent activity. The PyPI package is `agentpulse-cli`, while the command remains `agent-pulse`. Prefer running commands and summarizing their output over reading the Agent Pulse source code. Always enable UTF-8 on Windows before running commands because Agent Pulse output contains emoji and box drawing: ```powershell $env:PYTHONUTF8='1' $env:PYTHONIOENCODING='utf-8' ``` If `agent-pulse` is not on PATH, ask before
golang-code-style
**Orchestration mode:** Fan out the sub-agents described in the "Parallelizing Code Style Reviews" section, each covering an independent style concern, when reviewing code style across a large codebase, and merge their findings. On Claude Code, use `ultracode` to opt into multi-agent orchestration explicitly. > **Community default.** A company skill that explicitly supersedes `samber/cc-skills-golang@golang-code-style` skill takes precedence. # Go Code Style Style rules that require human judgment — linters
flutter-add-widget-test
# Writing Flutter Widget Tests ## Contents - [Setup & Configuration](#setup--configuration) - [Core Components](#core-components) - [Workflow: Implementing a Widget Test](#workflow-implementing-a-widget-test) - [Interaction & State Management](#interaction--state-management) - [Examples](#examples) ## Setup & Configuration Ensure the testing environment is properly configured before authoring widget tests. 1. Add the `flutter_test` dependency to the `dev_dependencies` section of `pubspec.yaml`. 2. Place all
convex-agent
<!-- GENERATED from convex-agents content/capabilities/agent.json — do not edit by hand. --> # Add an AI agent / RAG backend Install @convex-dev/agent for durable threads, message history, tool-calls, and vector search/RAG — the backend for an in-app AI agent. Call models through the Convex AI Gateway by default: Convex holds the provider credentials, so there is no LLM key to obtain, store, or rotate. ## Workflow 1. Install @convex-dev/agent + @convex-dev/ai-sdk-provider; add the agent component to convex.
convex-test
<!-- GENERATED from convex-agents content/capabilities/test.json — do not edit by hand. --> # Generate Convex tests Use convex-test + vitest to test functions against an in-memory backend: args/returns, auth paths, indexes, and scheduled functions. ## Workflow 1. Install convex-test + vitest. 2. Write tests using convexTest(schema): seed via t.run, call t.query/t.mutation, assert. 3. Cover auth (withIdentity), error paths, and scheduled functions (t.finishInProgressScheduledFunctions). 4. Run vitest; keep t
flutter-add-integration-test
# Implementing Flutter Integration Tests ## Contents - [Project Setup and Dependencies](#project-setup-and-dependencies) - [Interactive Exploration via MCP](#interactive-exploration-via-mcp) - [Test Authoring Guidelines](#test-authoring-guidelines) - [Execution and Profiling](#execution-and-profiling) - [Workflow: End-to-End Integration Testing](#workflow-end-to-end-integration-testing) - [Examples](#examples) ## Project Setup and Dependencies Configure the project to support integration testing and Flutter
code-review-excellence
# Code Review Excellence Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. ## When to Use This Skill - Reviewing pull requests and code changes - Establishing code review standards for teams - Mentoring junior developers through reviews - Conducting architecture reviews - Creating review checklists and guidelines - Improving team collaboration - Reducing code review cycle time - Maintaining code quality standards #
expo-data-fetching
# Expo Networking **You MUST use this skill for ANY networking work including API requests, data fetching, caching, or network debugging.** ## References Consult these resources as needed: ``` references/ expo-router-loaders.md Route-level data loading with Expo Router loaders (web, SDK 55+) offline-and-cancellation.md NetInfo network status, offline-first React Query, AbortController ``` ## When to Use Use this skill when: - Implementing API requests - Setting up data fetching (React Query, SWR) - Using Ex
agent development
# Agent Development for Claude Code Plugins ## Overview Agents are autonomous subprocesses that handle complex, multi-step tasks independently. Understanding agent structure, triggering conditions, and system prompt design enables creating powerful autonomous capabilities. **Key concepts:** - Agents are FOR autonomous work, commands are FOR user-initiated actions - Markdown file format with YAML frontmatter - Triggering via description field with examples - System prompt defines agent behavior - Model and c
agent-device
# agent-device For a normal app-driving task, start immediately. Do not probe first with `--help`, `--version`, `devices`, `appstate`, `snapshot`, or `screenshot`: ```bash agent-device open <app> --foreground ``` That starts the session and returns the initial interactive snapshot with `@refs`. Loop: act with `press|click|fill|longpress <target> ... --settle`, `scroll <direction> --settle`, or `back --settle`; continue from the printed diff, verify the named expectation (`wait text "..."`, `is`, `get`, or `
ad-creative-test-plan
# Creative Test Plan You are a paid-media experimentation lead. Design the creative test _before_ launch, then emit a plan document a media buyer can execute without you: - Isolate the variable deliberately. - Structure the cells. - Size the spend and sample. - Pre-register the success criteria and decision rules. The core discipline is honesty about power: most creative "A/B tests" at normal budgets cannot reach statistical significance, and the plan must say so explicitly rather than let a screening heuri
data-storytelling
# Data Storytelling Transform raw data into compelling narratives that drive decisions and inspire action. ## When to Use This Skill - Presenting analytics to executives - Creating quarterly business reviews - Building investor presentations - Writing data-driven reports - Communicating insights to non-technical audiences - Making recommendations based on data ## Core Concepts ### 1. Story Structure ``` Setup → Conflict → Resolution Setup: Context and baseline Conflict: The problem or opportunity Resolution
python-code-style
# Python Code Style & Documentation Consistent code style and clear documentation make codebases maintainable and collaborative. This skill covers modern Python tooling, naming conventions, and documentation standards. ## When to Use This Skill - Setting up linting and formatting for a new project - Writing or reviewing docstrings - Establishing team coding standards - Configuring ruff, mypy, or pyright - Reviewing code for style consistency - Creating project documentation ## Core Concepts ### 1. Automated
agent-tools
> **Install the belt CLI skill:** `npx skills add belt-sh/cli` # [inference.sh](https://inference.sh) Run AI apps in the cloud with a simple CLI. No GPU required. ](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgjw8atdxgkrsr8a2t5peq7b.jpeg) ## Install CLI ```bash curl -fsSL https://cli.inference.sh | sh belt login ``` > **What does the installer do?** The [install script](https://cli.inference.sh) detects your OS and architecture, downloads the co