Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
fernandezbaptiste/rails_ai_agents Creates service objects following single-responsibility principle with comprehensive specs. Use when extracting business logic from controllers, creating complex operations, implementing interactors, or when user mentions service objects or POROs. | Skills | |
launchdarkly/ai-tooling Onboard a project to LaunchDarkly: kickoff roadmap, resumable log, explore repo, MCP, companion flag skills, nested SDK install (detect/plan/apply), first flag. Use when adding LaunchDarkly, setting up or integrating feature flags in a project, SDK integration, or 'onboard me'. | Skills | |
thedotmack/claude-mem Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions. | Skills | |
joelhooks/joelclaw Create new joelclaw skills with the idiomatic process — repo-canonical, symlinked, git-tracked, slogged. Triggers on 'add a skill', 'create skill', 'new skill', 'canonical skill', 'make a skill for', or any request to formalize a process or domain into a reusable skill. | Skills | |
danielyan-consulting/skills Parallel OWASP Top 10:2025 security review of a web application codebase using 10 specialist agents. Trigger whenever the user asks for a security review, security audit, OWASP review, vulnerability assessment, code security scan, or threat analysis of a web app codebase. Also trigger on mentions of "OWASP Top 10", "security vulnerabilities", "code audit", "AppSec", or requests to check code for injection, XSS, access control, auth, or crypto issues. Trigger for casual requests like "is my code secure?", "check for vulnerabilities", or "any security issues?". Launches 10 parallel agents (one per OWASP category) producing a report with context-sensitive remediations. Secrets found are flagged but always shown as REDACTED. | Skills | |
renmaiv/nextjs-modularise Splits mixed Server/Client Next.js pages into clean boundaries — extracts client logic into `*Client.tsx`, rewrites `page.tsx` as a pure Server Component, flags repeated JSX for componentisation, and detects styling inconsistencies across the codebase. Trigger on: refactor requests, mixed Server/Client files, pages >200 LOC with hooks, duplicated JSX, or any style drift between components. | Skills | |
upstash/skills Work with the Upstash Redis TypeScript/JavaScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating) with Upstash Redis Search (different from regular FT.SEARCH), and all Redis data structures. Supports automatic serialization/deserialization of JavaScript types. Upstash Redis Search also available via @upstash/search-redis and @upstash/search-ioredis adapters for TCP clients. | Skills | |
qsimeon/openclaw-engaging Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON. | Skills | |
attilaczudor/Test Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON. | Skills | |
Hung-Reo/hungreo-openclaw Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON. | Skills | |
ArabelaTso/Skills-4-SE Automatically performs git bisect to identify the first bad commit that introduced a bug or failure. Use when debugging regressions, tracking down when a test started failing, or identifying which commit broke functionality. Handles flaky tests with retry logic and provides comprehensive reports with bisect logs and confidence levels. | Skills | |
ArabelaTso/Skills-4-SE Generate structured proof skeletons with tactics, strategies, and intermediate lemmas for theorems in Isabelle/HOL or Coq. Use when users need to: (1) Create proof outlines for theorem statements, (2) Generate proof structure with tactic placeholders, (3) Identify key lemmas needed for a proof, (4) Plan proof strategies (induction, case analysis, forward/backward reasoning), (5) Scaffold proofs with intermediate steps and subgoals, or (6) Convert theorem statements into detailed proof templates. Supports both Isabelle/HOL and Coq equally. | Skills | |
ArabelaTso/Skills-4-SE Validate API consistency between two versions of Java libraries. Use when you need to compare API behavior, signatures, and exceptions between Java library versions to identify breaking changes, incompatible modifications, and behavior differences. The skill performs static analysis of Java code, compares method signatures, class definitions, interface changes, parameter types, return types, exception declarations, and generates a detailed JSON report with breaking changes, warnings, and migration guidance. Supports Java libraries and packages. | Skills | |
ArabelaTso/Skills-4-SE Generate Dockerfiles, Docker Compose configurations, and Kubernetes manifests for containerizing applications. Use when: (1) Creating Dockerfiles for Node.js, Python, Java, Go, or other applications, (2) Setting up multi-service environments with Docker Compose, (3) Generating Kubernetes deployments, services, and ingress configurations, (4) Optimizing container images for production, (5) Implementing containerization best practices. Provides both ready-to-use templates and custom-generated configurations based on project requirements. | Skills | |
sickn33/antigravity-awesome-skills Centralized configuration management with feature flags and dynamic refresh. | Skills | |
planetscale/database-skills Vitess best practices, query optimization, and connection troubleshooting for PlanetScale Vitess databases. Load when working with Vitess databases, sharding, VSchema configuration, keyspace management, or MySQL scaling issues. | Skills | |
wshobson/agents Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use this skill when transitioning on-call responsibilities between engineers and ensuring the incoming responder has full situational awareness, when writing a shift summary that captures active incidents, ongoing investigations, and recent changes, when handing off mid-incident so a fresh engineer can take over the incident commander role without losing context, when onboarding a new engineer to the on-call rotation for the first time, or when auditing and improving the quality of existing handoff processes across teams. | Skills | |
hashicorp/agent-skills Build Windows images with Packer using WinRM communicator and PowerShell provisioners. Use when creating Windows AMIs, Azure images, or VMware templates. | Skills | |
freekmurze/dotfiles Provides React patterns for hooks, effects, refs, and component design. Covers escape hatches, anti-patterns, and correct effect usage. Must use when reading or writing React components (.tsx, .jsx files with React imports). | Skills | |
v0.1.1 Ground truth for Shelly Duo GU10 RGBW smart bulb (Gen1): LAN HTTP REST contract, mDNS discovery (with the non-loopback-IPv4-bind gotcha), color/temp endpoints, off semantics, latency expectations. Language-agnostic facts; Kotlin/Ktor reference example. Contains: shelly-duo-gu10-control Controls Shelly Duo GU10 RGBW smart bulbs (Gen1) over LAN HTTP REST. Includes mDNS discovery (with the critical 'bind to non-loopback IPv4' gotcha), color/temperature/off endpoints, status probe, and the 0.2s min-interval for LAN debounce. Use when the user wants to control a Shelly bulb directly without their cloud (Gen1 Shelly Color, Shelly Duo, Shelly RGBW2 share most of this contract), do mDNS discovery on a JVM, or build a low-latency IoT pipeline against a local Shelly device. | SkillsRules |
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