Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
redis/agent-skills Redis Cluster and replication guidance covering hash tags for multi-key operations, avoiding CROSSSLOT errors, and reading from replicas to scale read-heavy workloads. Use when designing keys for a sharded Redis Cluster, debugging CROSSSLOT errors on MGET / SDIFF / pipelines, configuring a multi-key transaction in a cluster, or routing reads to replicas for caches, analytics, or dashboards. | Skills | |
redis/agent-skills Redis Cluster and replication guidance covering hash tags for multi-key operations, avoiding CROSSSLOT errors, and reading from replicas to scale read-heavy workloads. Use when designing keys for a sharded Redis Cluster, debugging CROSSSLOT errors on MGET / SDIFF / pipelines, configuring a multi-key transaction in a cluster, or routing reads to replicas for caches, analytics, or dashboards. | Skills | |
webmaxru/enonic-agent-skills Sets up Enonic XP event listeners, webhook configurations, and external system integrations triggered by content lifecycle events. Covers lib-event listener registration, node event filtering, outbound webhook configuration via com.enonic.xp.webhooks.cfg, custom HTTP service controllers for inbound webhooks, task-based async processing with lib-task, and outbound HTTP calls with lib-httpClient. Use when listening for content publish/create/update/delete events, configuring outbound webhooks, building HTTP service endpoints for inbound webhooks, or triggering async processing on content changes. Do not use for content querying, frontend component development, non-Enonic event systems, or GitHub webhook configuration. | Skills | |
inkboard/system-atlas Build and maintain an explorable, progressively-disclosed isometric "atlas" of a system's architecture — an interactive page (hover to read, click to pin, go inside for steps, moving data packets you can inspect, chapters that reveal the system a few structures at a time) plus a generated text twin (SYSTEM.md) and question tracking by ID, all from one data file in the repo. Use this whenever someone wants to discuss, design, review, or explain an architecture visually — "make an atlas", "map the system", "make the architecture explorable", "visualize the codebase/agent/pipeline so we can talk about it", "a diagram I can click around", "walk me through how it fits together", or when an architecture discussion is producing a pile of open questions that need tracking across feedback rounds. Also use it to update an existing atlas after decisions change. | Skills | |
bevibing/tutor-skills Interactive quiz tutor for Obsidian StudyVault learning. Use when the user wants to: (1) Take a diagnostic assessment of their knowledge, (2) Study or review specific sections/topics, (3) Drill weak areas identified in previous sessions, (4) Check their learning progress or dashboard, or says things like "quiz me", "test me", "let's study", "/tutor", "학습", "퀴즈", "평가". | Skills | |
orangehrm/orangehrm Framework-level reference for how OrangeHRM wires up Doctrine ORM 2.20 — the single EntityManager singleton, multi-path entity discovery driven by `ohrm_plugin_paths`, the multi-path `OrangeHRM\Entity\` PSR-4 namespace in `src/composer.json`, the dev/prod cache split (`ArrayAdapter` vs `FilesystemAdapter`), proxy auto-generation strategy, the `enum`-to-`string` platform mapping, registering custom DQL functions like `TIME_DIFF`, and how to access the EntityManager from your code. Use whenever the user is adding a new plugin and needs to register its entity dir, debugging "class not found" / unmapped-entity errors, wondering why Doctrine still uses annotations instead of PHP 8 attributes, configuring cache behavior, regenerating proxies after deployment, or adding a custom DQL function. Companion to the `entities` skill (defining entities) and `daos` skill (querying them). | Skills | |
orangehrm/orangehrm Reference for managing OrangeHRM Composer and Yarn dependencies — where composer.json and package.json files live, running package-manager commands inside the Docker dev environment, using the lowest supported PHP version from the relevant composer.json for Composer install/update/require, respecting packageManager fields, avoiding npm/package-lock drift, and keeping lockfiles generated by package managers. Use whenever the user adds, updates, removes, installs, audits, or troubleshoots PHP Composer packages, frontend packages, Yarn workspaces, Node/npm tooling, or dependency lockfiles. | Skills | |
amElnagdy/guard-skills Review generated or changed production code before it ships, using Clean Code, SOLID, DRY, KISS, YAGNI, and LLM-specific failure-mode checks in any programming language. Best used reactively after an agent writes, edits, refactors, or fixes code, before presenting, committing, or merging the result. Use when the user asks "review this PR", "is this safe to merge?", "make this cleaner", "audit this code", "refactor this", "fix this bug", or after a coding agent produced implementation code. Can also guide writing when explicitly invoked before a risky edit. Invoke it on your own initiative the moment you finish writing, editing, or refactoring non-trivial production code, before presenting or committing — don't wait to be asked. DO NOT USE for factual/conceptual questions, CI/tooling config, git workflow, running/debugging tests, pure architecture discussion, prose writing, data analysis, or test-code review (use test-guard). | Skills | |
aizhimou/pigeon-pod Draft, refine, and publish bilingual PigeonPod GitHub release notes from commits on the `release` branch. Use when Codex needs to compare commits since the latest published GitHub release, write a new local release note under `dev-docs/release-notes`, align English and Chinese release-note sections after user edits, or create/update a GitHub Release while keeping the markdown H1 as the GitHub release title instead of the release body. | Skills | |
aizhimou/pigeon-pod Review PigeonPod GitHub issues end to end. Use when the user asks what an issue means, whether it is valid, how to reply, whether to add it to the GitHub Project, or to turn it into a tracked task. Read the issue and comments, inspect relevant local docs and code, explain the real requirement or bug precisely, draft a maintainer reply, and only after explicit approval perform GitHub writes. When creating a task, first recommend `Priority`, `Size`, and `Estimate`, wait for maintainer confirmation or overrides, then write those values into the project task fields. | Skills | |
BiFangKNT/mtga 构建、调试与发布 Tauri v2 应用的工程化工作流。覆盖项目初始化(create-tauri-app)、前端与 Rust 命令通信(`#[tauri::command]` + `invoke`)、状态管理、Capabilities 权限建模、插件接入、跨平台构建与问题排查。当用户需求涉及“创建 Tauri 项目”“把 Web 前端接到 Rust 后端”“最小权限配置(fs/http/shell)”“接入 Tauri 官方插件”“执行 tauri dev/build”“排查 Tauri 构建或运行错误”时使用此 skill。 | Skills | |
BiFangKNT/mtga 在 Windows PowerShell 5.1 与 PowerShell 7 中编写和执行稳定命令,重点处理引号、管道符、原生命令参数传递与跨版本兼容。遇到 `--jq`/过滤表达式被 PowerShell 误解析、同一命令在 pwsh5 与 pwsh7 行为不一致、或需要为 pwsh7.3+ 增加参数传递适配时使用此 skill。 | Skills | |
retlehs/quien Use the quien CLI for domain and IP lookups: WHOIS/RDAP, DNS, mail authentication, TLS certificates, HTTP headers, SEO analysis, and tech stack detection. Activate when the user asks about a domain's owner, registrar, expiry, DNS records, mail config (SPF, DMARC, DKIM, BIMI), SSL certificate, HTTP headers, SEO, Core Web Vitals, tech stack, CMS, hosting, or IP address info (ASN, network, abuse contact). | Skills | |
aiwithremy/claude-skills-llm-council Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict. Based on Karpathy's LLM Council methodology. MANDATORY TRIGGERS: 'council this', 'run the council', 'war room this', 'pressure-test this', 'stress-test this', 'debate this'. STRONG TRIGGERS (use when combined with a real decision or tradeoff): 'should I X or Y', 'which option', 'what would you do', 'is this the right move', 'validate this', 'get multiple perspectives', 'I can't decide', 'I'm torn between'. Do NOT trigger on simple yes/no questions, factual lookups, or casual 'should I' without a meaningful tradeoff (e.g. 'should I use markdown' is not a council question). DO trigger when the user presents a genuine decision with stakes, multiple options, and context that suggests they want it pressure-tested from multiple angles. | Skills | |
https-deeplearning-ai/sc-agent-skills-files Provides checklist for reviewing Typer CLI command implementations. Covers structure, Annotated syntax, error handling, exit codes, display module usage, destructive action patterns, and help text conventions. Use when user asks to review/check/verify a CLI command, wants feedback on implementation, or asks if a command follows best practices. | Skills | |
AgriciDaniel/claude-blog Verify statistics and claims in blog posts by fetching cited source URLs and checking if the claimed data actually appears on the page. Extracts all load-bearing claims (statistics, product or policy claims, ranking and comparative claims, named sources), validates cited URLs before fetching, and scores match confidence (exact match 1.0, paraphrase 0.7-0.9, not found 0.0). Flags uncited claims as UNVERIFIED. Use when user says "fact check", "verify statistics", "check sources", "validate claims", "factcheck", "source verification". | Skills | |
AgriciDaniel/claude-blog Audit a directory of multilingual blog content for completeness, consistency, hreflang correctness, meta-tag parity, and freshness. Builds a translation coverage matrix, flags stale translations, validates hreflang and schema, and emits a prioritized report with runnable fix commands. Use when user says "locale audit", "blog locale-audit", "check translations", "multilingual audit", "translation check", "hreflang check", "Uebersetzungen pruefen". | Skills | |
AgriciDaniel/claude-blog Verify statistics and claims in blog posts by fetching cited source URLs and checking if the claimed data actually appears on the page. Extracts all load-bearing claims (statistics, product or policy claims, ranking and comparative claims, named sources), validates cited URLs before fetching, and scores match confidence (exact match 1.0, paraphrase 0.7-0.9, not found 0.0). Flags uncited claims as UNVERIFIED. Use when user says "fact check", "verify statistics", "check sources", "validate claims", "factcheck", "source verification". | Skills | |
nolanx-ai/nolanx.ai Use for story-driven film, trailer, short drama, adaptation, or multi-shot video requests that need strong narrative escalation, beat design, and production-ready scene structure. | Skills | |
afkT/DevUtils 需要对话框、弹窗、菜单、加载等待、轻提示(Toast 替代)、应用内通知、底部弹窗、 上下文菜单、全屏/自定义弹层或操作引导时,默认使用 DialogX (com.github.kongzue.DialogX,本工程已依赖)而非系统 AlertDialog/Toast/PopupMenu。 SKILL 给组件选型、避坑事实与最小片段;组件静态工厂全表、链式 setter 全表、 全局配置 DialogX.* 全表、TextInfo/InputInfo/ItemDivider、枚举与主题包坐标见 references/reference.md。 在用户要求弹对话框、做加载框、提示框、底部菜单、确认/输入弹窗、引导蒙层或替换原生 Dialog 时使用。 | Skills |
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