io.github.Melvynx/aiblueprint/nextjs-add-prisma-db

Setup Prisma ORM with PostgreSQL in a Next.js project with schema, migrations, and seed data

io.github.facioquo/stock-indicators-dotnet/testing-standards

Testing conventions for Stock Indicators. Use for test naming (MethodName_StateUnderTest_ExpectedBehavior), FluentAssertions patterns, precision requirements, and test base class selection.

io.github.jleechanorg/claude-commands/automation-orchestration-guide

Guide PR automation and multi-agent orchestration library workflows.

io.github.jleechanorg/claude-commands/automation-output-verification

Use BEFORE running any automation loop. Requires stating the observable success output (PR, fixed test, push); rejects prediction-only loops.

io.github.jleechanorg/claude-commands/automation-completeness

Use when adding automation scripts. Requires a caller (CI/cron/hook); watchdog scripts need launchd plist template + deploy.sh install step.

io.github.TheGoat395/Codex-Skills/css-grid-editorial-systems

Create CSS Grid editorial layout systems for premium websites. Use for asymmetric grids, magazine layouts, portfolio indexes, case-study plates, image galleries, hero compositions, feature narratives, product proof layouts, masonry-like rhythms, and replacing generic card grids with stronger hierarchy.

io.github.mohitagw15856/pm-claude-skills/sql-query-explainer

Explains, optimises, writes, and documents SQL queries. Use when asked to explain a SQL query, optimise slow SQL, translate SQL to plain English for non-technical stakeholders, write a query from a natural language description, or produce query documentation. Produces plain-English explanations, annotated optimised queries, or a data dictionary covering output shape, assumptions, and known limitations. Works across PostgreSQL, MySQL, BigQuery, Snowflake, and standard SQL.

io.github.ktolonen/ultiorganizer/css-style-and-lint

Analyze, lint, and safely fix Ultiorganizer CSS changes. Use when Codex edits or reviews CSS files under cust/, mobile app styling, skin overrides, or shared stylesheet rules; when checking style/color consistency; or when deciding whether duplicated selectors and utility classes should be consolidated. Run Stylelint on changed CSS and apply only low-risk fixes unless the user asks for broader visual refactoring.

io.github.proma-ai/Proma/writing-plans

Use when you have a spec or requirements for a multi-step task, before touching code

io.github.mohitagw15856/pm-claude-skills/writing-great-skills

Author a high-quality Agent Skill (SKILL.md) that an AI reliably triggers and executes well — strong frontmatter, a sharp description with trigger phrases, a clear output contract, quality checks, and anti-patterns. Use when asked to write a skill, create a SKILL.md, improve a skill, review a skill for quality, or contribute to a skills library. Produces a complete, SkillCheck-passing SKILL.md plus a short rationale for the key choices.

io.github.kortix-ai/suna/testing

The mandatory test-with-every-change discipline for this monorepo. Load WHENEVER you write, change, refactor, or remove ANY code under apps/** or packages/** — a function, class, route, component, hook, schema, migration, config, or bug fix — and whenever you touch anything under tests/, add coverage, run a suite, set up CI, or are asked why a gate failed. Defines which test type each change needs (unit/integration/contract/api/e2e/a11y/visual/perf/security), the exact commands and conventions (co-located bun:test, factories, determinism, no comments), and the CI gates that enforce it. Enforces THE RULE: every possible change ships with tests in the same change.

io.github.shareAI-lab/Kode-CLI/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

io.github.shareAI-lab/Kode-CLI/mcp-builder

Guide for building high-quality MCP (Model Context Protocol) servers and tools: what MCP is, how to design tools/resources/prompts for agent usability, and how to implement servers in TypeScript or Python. Use when you need MCP best practices, server architecture patterns, or a step-by-step build workflow (with language preference).

io.github.jxxghp/MoviePilot/database-operation

Use this skill when you need to inspect, query, maintain, or carefully modify the MoviePilot database. This skill uses the bundled scripts/mp-db.py helper, which reads MoviePilot local settings itself and never requires database passwords or full PostgreSQL DSNs in the agent prompt. Applicable scenarios include data statistics, counts, aggregations, inspecting or fixing records, cleanup requests, and questions like "how many downloads", "show site stats", "delete old records", or "why is this subscription stuck".

io.github.agentscope-ai/AgentTeams/mcporter

Discover and call MCP Server tools via the mcporter CLI. Use when your coordinator notifies you about new MCP tools, or when you need to call external APIs. Includes workflow for generating skill documentation for new MCP servers.

io.github.shinpr/claude-code-workflows/typescript-rules

React/TypeScript frontend development rules including type safety, component design, state management, and error handling. Use when implementing React components, TypeScript code, or frontend features.

io.github.vercel-labs/agent-browser/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. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

io.github.youpele52/bigbud/automation

Collects the details needed to create or update a bigbud automation and emits a machine-readable automation request block.

io.github.questdb/questdb/review-pr

Review a GitHub pull request against QuestDB coding standards

io.github.mukul975/Anthropic-Cybersecurity-Skills/deploying-decoy-files-for-ransomware-detection

Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Uses strategically placed decoy documents monitored via file integrity monitoring or OS-level watchdogs to trigger alerts when ransomware modifies or encrypts them. Activates for requests involving ransomware canary deployment, honeyfile setup, deception-based ransomware detection, or file integrity monitoring for encryption.

io.github.mukul975/Anthropic-Cybersecurity-Skills/deploying-ransomware-canary-files

Deploys and monitors ransomware canary files across critical directories using Python's watchdog library for real-time filesystem event detection. Places strategically named decoy files that mimic high-value targets (financial records, credentials, database exports) in locations ransomware typically enumerates first. Monitors for any read, modify, rename, or delete operations on canary files and triggers immediate alerts via email, Slack webhook, or syslog when interaction is detected, providing early warning before full encryption begins.

io.github.mukul975/Anthropic-Cybersecurity-Skills/testing-ransomware-recovery-procedures

Test and validate ransomware recovery procedures including backup restore operations, RTO/RPO target verification, recovery sequencing, and clean restore validation to ensure organizational resilience against destructive ransomware attacks.

io.github.fossasia/visdom/python-client-api

Add or modify Visdom Python client methods with correct server/frontend parity and typing updates

io.github.runceel/ReactiveProperty/writing-mstest-tests

Best practices for writing new MSTest 3.x/4.x unit tests and implementing concrete fixes in existing MSTest code. Use when the user asks to write, create, implement, repair, or modernize tests (including fix-it prompts such as 'something seems off, fix issues'). Primary fit for direct code changes like correcting swapped Assert.AreEqual argument order, replacing outdated assertion patterns, and converting DynamicData from IEnumerable<object[]> to ValueTuple-based data sets. Covers modern assertions, data-driven tests, test lifecycle, MSTest.Sdk, sealed classes, Assert.Throws, DynamicData with ValueTuples, TestContext, and conditional execution. Do NOT use for broad test quality audits, flaky-test investigations, or test smell detection reports — use test-anti-patterns instead.