01
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Define the work before choosing the most popular Skill.
Platform compatibility
Cursor Skills
Explore Skills for Cursor project workflows, separating native support from portable workflows.
- Verification
- Evidence-labeled
- Portability
- Shown per Skill
- Risk scope
- Static only
Matching candidates
183
Current snapshot
Quality ready
182
Computed signal ≥ 75
Evidence layers
4
Source to editorial
Refresh cadence
24h
Repository signals
Qualified matches
Skills for Cursor Skills
The list prioritizes source diversity, freshness, and documentation depth. Card scores are computed signals—not test certifications.
EvidenceSourceComputedTestedEditorial
Computed 91203
PramodDutta/qaskills
Accessibility Auditor
Comprehensive WCAG 2.1 AA compliance testing combining automated axe-core scans with manual keyboard navigation, screen reader compatibility, and focus management verification
Computed 9520
upex-galaxy/agentic-qa-boilerplate
acli
Atlassian CLI (official `acli` binary, v1.3+ as of 2026) for Jira Cloud, Confluence Cloud, and org admin tasks from the terminal. Use whenever the user wants to create, view, edit, transition, assign, clone, archive, comment on, link, or bulk-operate on Jira work items; list or manage projects, boards, sprints, filters, dashboards, or custom-field definitions; create or update Confluence spaces, pages, or blog posts; activate/deactivate users at the org level; or authenticate to Atlassian from a
Computed 9458
magnus919/agent-skills
agent-council
Run a structured multi-agent debate by spawning a panel of expert agents on any question, with convergence-aware iteration and typed synthesis output via the `agent-council` CLI. Use when a decision has genuine tradeoffs, high stakes, or hidden assumptions worth adversarial collaboration, or when confidence diagnostics matter more than a single recommendation. Compatible with any AI agent harness that supports agentskills.io skills (Claude Code, Cursor, Hermes Agent, OpenHands, etc.). Do not use
Computed 94203
PramodDutta/qaskills
Agentic Testing Patterns
AI-first testing methodology where autonomous agents plan, generate, execute, and maintain test suites with minimal human intervention, covering agent orchestration, feedback loops, and intelligent test prioritization.
Computed 9165
brucesongs/kali-claw
ai-agent-supply-chain-attack
AI/ML supply chain attacks — model poisoning, Pickle RCE, Hugging Face / Ollama registry compromise, LangChain plugin backdoors, OpenClaw / ClawHub ecosystem threats. Distinguishes from ci-cd-supply-chain-attack by focusing on model weights, training data, and serialization formats. Anchored by the 2026-07 Hugging Face incident (the 'Chernobyl moment' of software supply chain security).
Computed 9265
brucesongs/kali-claw
ai-security
Semantic-layer attack testing against AI systems and LLM-integrated applications.
Computed 92203
PramodDutta/qaskills
AI Test Generation Patterns
Systematic patterns for prompting AI coding agents to generate high-quality tests including prompt engineering for test creation, coverage-driven generation, mutation-aware testing, and review checklists for AI-generated test code.
Computed 93203
PramodDutta/qaskills
Angry User Simulator
Simulate aggressive user behavior patterns including rapid clicking, random navigation, form abuse, tab spamming, and unexpected interaction sequences to find UI resilience issues
Computed 967
aomi-labs/skills
aomi-build
Scaffold new Aomi apps and plugins from API docs, OpenAPI/Swagger specs, or SDK references. aomi-build generates production-ready Rust SDK crates (lib.rs, client.rs, tool.rs) with tool schemas, preambles, host-interop flows, and validation — turning a vendor's API surface into AI-agent-callable tools. It covers the current `aomi-build` OpenAPI pipeline (`gen-specs` → `gen-client` → `gen-tool` → curate → compile/test) as well as greenfield apps. Use when the user wants to scaffold a new Aomi app
Computed 937
aomi-labs/skills
aomi-transact
Build natural-language crypto agents, web3 assistants, and trading bots that read and write EVM chain state. Aomi turns prompts ("swap 1 ETH for USDC", "open a 3x GMX long", "bet $100 on Polymarket") into wallet-signed transactions on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. Use when the user wants a crypto/DeFi agent, AI trading/wallet assistant, or on-chain execution against Uniswap, Aave, Lido, GMX, Hyperliquid, Polymarket, Binance, OKX, or 40+ other
Computed 937
aomi-labs/skills
aomi-transact
Build natural-language crypto agents, web3 assistants, and trading bots that read and write EVM chain state. Aomi turns prompts ("swap 1 ETH for USDC", "open a 3x GMX long", "bet $100 on Polymarket") into wallet-signed transactions on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. Use when the user wants a crypto/DeFi agent, AI trading/wallet assistant, or on-chain execution against Uniswap, Aave, Lido, GMX, Hyperliquid, Polymarket, Binance, OKX, or 40+ other
Computed 97242,963
affaan-m/ECC
api-design
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.
Decision path
Move from discovery to installation in four checks
02
Compare evidence
Separate source claims, computed signals, tests, and editorial judgment.
03
Review permissions
Review network, script, file, and outbound-data actions.
04
Test narrowly
Pin the source and run a reversible test in isolation.