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72244 skills match this category. Browse curated collections and explore related Agent Skills.

near-ai-cloud

NEAR AI Cloud private inference and verification. Use when integrating NEAR AI Cloud API for verifiable private AI inference, verifying model or gateway TEE attestation (NVIDIA NRAS, Intel TDX), verifying chat message signatures, implementing end-to-end encrypted chat, or using the OpenAI-compatible API with NEAR AI Cloud.

near
near
103

near-api-js

>-

near
near
103

near-cli-rs

Generate near-cli-rs v0.14+ commands for NEAR Protocol — account management, NEAR/FT/NFT token transfers, staking delegation, contract deployment and calls, transaction signing (keychain, Ledger, seed phrase, MPC, offline), and network config

near
near
103

near-contract-audit

Comprehensive security audit skill for NEAR Protocol smart contracts written in Rust. Use when auditing NEAR contracts, reviewing security vulnerabilities, or analyzing contract code for issues like reentrancy, unhandled promises, unsafe math, access control flaws, and callback security.

near
near
103

near-dapp

>

near
near
103

near-kit

TypeScript library for NEAR Protocol blockchain interaction. Use this skill when writing code that interacts with NEAR Protocol, including viewing contract data, calling contract methods, sending NEAR tokens, building transactions, creating type-safe contract wrappers, integrating wallets (Wallet Selector, HOT Connect), React hooks and providers (@near-kit/react), managing keys, testing with sandbox, meta-transactions (NEP-366), and message signing (NEP-413).

near
near
103

near-smart-contracts

NEAR Protocol smart contract development in Rust. Use when writing, reviewing, or deploying NEAR smart contracts. Covers contract structure, state management, cross-contract calls, testing, security, and optimization patterns. Based on near-sdk v5.x with modern macro syntax.

near
near
103

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

documenso
documenso
12,5992,476

create-documentation

Generate markdown documentation for a module or feature

documenso
documenso
12,5992,476

create-justification

Create a new justification file in .agents/justifications/ with a unique three-word ID, frontmatter, and formatted title

documenso
documenso
12,5992,476

create-plan

Create a new plan file in .agents/plans/ with a unique three-word ID, frontmatter, and formatted title

documenso
documenso
12,5992,476

create-scratch

Create a new scratch file in .agents/scratches/ with a unique three-word ID, frontmatter, and formatted title

documenso
documenso
12,5992,476

envelope-editor-v2-e2e

Writing and maintaining Playwright E2E tests for the Envelope Editor V2. Use when the user needs to create, modify, debug, or extend E2E tests in packages/app-tests/e2e/envelope-editor-v2/. Triggers include requests to "write an e2e test", "add a test for the envelope editor", "test envelope settings/recipients/fields/items/attachments", "fix a failing envelope test", or any task involving Playwright tests for the envelope editor feature.

documenso
documenso
12,5992,476

skill-manager

Manage your installed Claude Code skills - install, update, rename, uninstall, and list skills from GitHub URLs. Use when the user wants to install a skill, update a skill, list installed skills, rename a skill, remove/delete/uninstall a skill, or provides a GitHub URL to a skills directory.

ashimoon
ashimoon
1

movie-maker

Docs-first AgentSkill for generating 10-60s mini-movies locally. Provides rules for scripts, shotlists, timing, prompting, providers, rendering (ffmpeg/remotion), and sharing to clawtube.

aivideofalelevenlabs
longstories
longstories
01

data-fetching

Data fetching patterns for server/client components using fetch API, TanStack Query, useSuspenseQuery, apiRouteWrapper, and apiRequestWrapper. Use when implementing data loading, API calls, server functions, queries, mutations, API routes, or when the user mentions TanStack Query, useSuspenseQuery, apiRouteWrapper, apiRequestWrapper, tmdb-server-functions, or data fetching.

qingqishi
qingqishi
41

i18n-patterns

Internationalization (i18n) patterns using inline t() calls with compile-time Babel transformation. Use when adding or modifying translated text, working with locales, creating new pages or components that need translations, using the t() function, mentioning i18n, translations, locale switching, useLocale, setLocale, or when the user asks about how translations work in this project. Also use when working with the i18n codegen pipeline, Babel plugin, or generated translation bundles.

qingqishi
qingqishi
41

merge-dependabot

Automated workflow for reviewing and merging Dependabot PRs. Use when the user wants to process, review, merge, or triage Dependabot pull requests, update dependencies, or handle dependency version bumps. Also trigger when the user mentions Dependabot, dependency updates, version bumps, or asks to merge open PRs from bots.

qingqishi
qingqishi
41

playwright-e2e

Playwright end-to-end (e2e) testing best practices for user-centric testing using semantic locators. Use when writing E2E tests, integration tests, user flow tests, Playwright tests, test specs, or when the user mentions Playwright, e2e tests, getByRole, test flows, or user testing.

qingqishi
qingqishi
41

react19-patterns

React 19 patterns and React Compiler behavior with Context shorthand syntax and use() hook. Use when working with Context, useContext, use() hook, Provider components, optimization patterns like useMemo, useCallback, memo, memoization, or when the user mentions React 19, React Compiler, Context.Provider, or manual optimization.

qingqishi
qingqishi
41

styling

StyleX styling system with project-specific design tokens, composable primitives, and custom css prop. MUST consult this skill before writing or modifying ANY styles in this project — the codebase uses custom design tokens, flex primitives, motion presets, and a css prop that differs from standard StyleX. Trigger whenever the user asks to create components, modify visual appearance, fix spacing/layout, add hover/focus effects, animations, responsive behavior, or anything involving CSS, styling, design tokens, breakpoints, or the css prop.

qingqishi
qingqishi
41

tmdb-codegen

TMDB API code generation workflow with selective Zod schemas using pnpm codegen:tmdb. Use when working with TMDB endpoints, regenerating types, adding TMDB API functionality, modifying endpoints-config.js, tmdb-server-functions.ts, Zod schemas, or when the user mentions TMDB codegen, endpoints-config, pnpm codegen:tmdb, needsZodSchema, or auto-generated TMDB files.

qingqishi
qingqishi
41

vercel-react-best-practices

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

vercel
vercel
41

vercel-react-view-transitions

Guide for implementing smooth, native-feeling animations using React's View Transition API (`<ViewTransition>` component, `addTransitionType`, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animations, animate enter/exit of components, animate list reorder, implement directional (forward/back) navigation animations, or integrate view transitions in Next.js. Also use when the user mentions view transitions, `startViewTransition`, `ViewTransition`, transition types, or asks about animating between UI states in React without third-party animation libraries.

vercel
vercel
41

work-tracking

GitHub issue and project board workflow for tracking work. Use when creating issues, updating issue status, checking project board state, assigning milestones, adding labels, or when the user mentions tracking work, creating tasks, filing bugs, feature requests, project board, milestones, or issue management. Also use when the user asks to clean up, triage, or organize existing issues.

qingqishi
qingqishi
41

css-best-practices

Guidelines for building modern, performant, and accessible CSS using MDN best practices. Use this when styling components, fixing layout shifts, or optimizing CSS performance.

jabranr
jabranr
0

seed-hypermedia

Access content on the Hypermedia Network using Seed Hypermedia CLI.

ericvicenti
ericvicenti
0

Architecture Decision Records

Create and maintain Architecture Decision Records (ADRs) in Confluence. Use when documenting technical decisions, architecture choices, technology selections, or when user mentions ADR, architecture decisions, technical choices, or design decisions.

sethdford
sethdford
11

API Documentation Generator

Generate comprehensive API documentation for Confluence from code, OpenAPI specs, or endpoints. Use when documenting REST APIs, GraphQL APIs, or any API endpoints. Creates structured documentation with examples, parameters, responses, and error codes.

sethdford
sethdford
11

Markdown to ADF Converter

Convert Markdown content to Confluence's ADF (Atlassian Document Format) for creating and updating pages. Use when creating Confluence pages from README files, documentation, or any Markdown content. Handles headings, lists, code blocks, tables, links, and more.

sethdford
sethdford
11

Release Notes Generator

Generate comprehensive release notes for Confluence from Jira issues, git commits, and pull requests. Use when preparing releases, creating changelogs, documenting version updates, or when user mentions release notes, changelog, version, or release documentation.

sethdford
sethdford
11

Structured Issue Creation

Create well-structured Jira issues from code changes, conversations, or requirements. Use when creating issues, bugs, stories, tasks, or when the user wants to track work in Jira. Analyzes context to generate clear titles, descriptions, and appropriate fields.

sethdford
sethdford
11

JQL Query Builder

Build and optimize JQL (Jira Query Language) queries for searching issues. Use when the user needs to search Jira issues, filter by complex criteria, find specific bugs or features, or when they mention JQL, queries, or searching Jira.

sethdford
sethdford
11

Sprint Planning Assistant

Assist with sprint planning, backlog grooming, story point estimation, and sprint capacity management. Use when planning sprints, estimating work, organizing backlog, or when user mentions sprint planning, velocity, capacity, or story points.

sethdford
sethdford
11

template-skill

Replace with description of the skill and when Claude should use it.

cha9ro
cha9ro
0

media-craft

>

NanHeSam
NanHeSam
2

ai-co-scientist

Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration. Triggers on "research project", "scientific experiment", "run experiments", "AI scientist", "tree search experimentation", "systematic study".

sundial-org
sundial-org
1487

codex

Run OpenAI's Codex CLI agent in non-interactive mode using `codex exec`. Use when delegating coding tasks to Codex, running Codex in scripts/automation, or when needing a second agent to work on a task in parallel.

sundial-org
sundial-org
1487

commit-splitter

Split large sets of uncommitted changes into logical, well-organized commits. Use when the user has many uncommitted changes and wants structured commits, or proactively suggest when detecting a large diff that would benefit from splitting.

sundial-org
sundial-org
1487

cs-research-methodology

Conduct a literature review and develop a CS research proposal. Use when asked to review a research area, find gaps in existing work, and propose a novel research contribution. The output is a research proposal identifying an assumption to challenge (the "bit flip") and how to validate it.

sundial-org
sundial-org
1487

icml-reviewer

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sundial-org
sundial-org
1487

neuro-symbolic-reasoning

Neuro-symbolic AI combining LLMs with symbolic solvers. Use when exploring neuro-symbolic approaches (ideation, no code) or implementing solver integrations (code).

sundial-org
sundial-org
1487

project-referee

Critiques ML conference papers with reviewer-style feedback. Use when users want to anticipate reviewer concerns, identify weaknesses, check claim-evidence gaps, or find missing citations.

sundial-org
sundial-org
1487

skill-to-card

End-to-end workflow that creates a skill from a description and attached files, publishes it to Sundial as a private skill, generates a trading card (front + back with QR code), and sends it to a printer. Use when the user wants to create a skill and get a printed trading card, or says "skill to card", "create and print a skill card", "make me a skill with a card".

sundial-org
sundial-org
1487

skill

Find, install, create, improve, and publish AI agent skills through the Sundial ecosystem. Use when the user wants to find or search for skills, install a skill, create a new skill, improve or evaluate an existing skill, or publish a skill to Sundial Hub. Trigger phrases include "find a skill", "install skill", "create a skill", "make a skill", "improve this skill", "evaluate skill", "publish skill", "push skill", "search for skills".

sundial-org
sundial-org
1487

tinker-training-cost

Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the correct model tokenizer and provides accurate cost estimates.

sundial-org
sundial-org
1487

tinker

Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.

sundial-org
sundial-org
1487

training-data-curation

Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.

sundial-org
sundial-org
1487

cs448b-visualization

Data visualization design based on Stanford CS448B. Use for: (1) choosing chart types, (2) selecting visual encodings, (3) critiquing visualizations, (4) building D3.js visualizations, (5) designing interactions/animations, (6) choosing colors, (7) visualizing networks, (8) visualizing text. Covers Bertin, Mackinlay, Cleveland & McGill.

sundial-org
sundial-org
1487

wallet

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merit-systems
merit-systems
33

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