Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
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Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizzes. Uses cloud storage via MCP for tutorials and learner profiles.
Commit changes as clean, reviewable snapshots. Use when committing, staging, splitting work into logical units, writing or fixing commit messages, creating fixup commits, or cleaning up commit history. Also use when the user says "commit this", "save my changes", "make a commit", or "write a better commit message."
Expert-level commit creation and formatting following Conventional Commits. Make sure to use this skill whenever you need to create a commit message, save changes to git, structure a logical commit history, or when the user mentions 'commit', 'git commit', 'コミット', '変更をコミット', or asks you to push their code.
Stage and commit changes to git following conventional commits format. Use when asked to commit, create a commit, or save changes. Drafts meaningful commit messages by understanding the why, not just the what. Never amends published commits, never skips hooks, never uses git add -A. Stages specific files by name. Does not push — that is the gh skill's job.
Design and audit community governance for forums, Discord/Slack communities, creator ecosystems, game communities, open-source projects, marketplaces, ambassador programs, and user councils. Covers norms, roles, moderation, escalation, transparency, events, incentives, leadership succession, safety, feedback loops, and sustainability. Use when community health matters to product growth and trust.
Build community engagement strategies for Reddit, Discord, and Facebook that generate traffic without getting banned. Use when planning organic community outreach, building audience through forums, or need value-first engagement templates with platform-specific rules.
Code review for ACE Engine (OpenHarmony ArkUI) covering C++/JS/TS/ArkTS. Analyzes 19+ dimensions: stability, performance, threading, security, memory, Modern C++ practices, SOLID principles, design patterns, robustness, testability, maintainability, observability, API design, technical debt, backward compatibility. Reports severity levels, refactoring suggestions, and ACE Engine checks (Pattern/Model/Property, component lifecycle, RefPtr/WeakPtr, four-layer architecture). Use when: reviewing PRs, analyzing code quality, enforcing standards, identifying technical debt, validating architecture, generating quality reports.
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, Newsletters, and cross-platform reuse campaigns. Use when the user needs social posts, threads, scripts, content calendars, or to adapt a single source asset cleanly across multiple platforms.
Creates high-quality content (blog posts, tweets, newsletters, documentation) that matches the user's writing style and voice. Performs web research to find citations and supporting evidence. Use when user requests blog posts, marketing content, newsletters, tweets, or any written content that should sound authentic and be well-researched.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Content studio with brand consistency. Use this skill whenever the user wants to create content — blog posts, social media (X/Twitter, LinkedIn, Reddit, HN), presentations (Slidev/Reveal/Spectacle), infographics, image prompts, video scripts (Remotion), editorial calendars, or content audits. Also triggers on brand setup, voice profiling, content repurposing, and content strategy. Covers any request involving writing, publishing, visual content creation, or content planning. Even if the user doesn't say "content" explicitly — if they're asking to write a blog post, create slides, draft a thread, plan a content calendar, or check content quality — use this skill.
An Instinct-based learning system that observes sessions through hooks, creates atomic instincts with confidence scores, and evolves them into Skills, Commands or Agents. Version 2.1 adds project-scoped instincts to prevent cross-project contamination.
Use this skill to create marketing copy, ad copy, product descriptions, and sales content. Triggers: "write copy", "marketing copy", "ad copy", "product description", "sales page", "landing page copy", "email copy", "tagline", "headline", "slogan", "brand copy", "website copy", "social copy", "campaign copy" Outputs: Copy variations, headlines, body copy, CTAs across multiple formats.
Write marketing copy for pages, campaigns, product launches, ads, and email sequences. Use when the user asks for `/copywriting`, landing page copy, launch copy, ad variations, direct-response frameworks, AIDA, PAS, BAB, or refreshing existing marketing content
Researches Costco products, categories, warehouse stock/availability, and reviews using the Crawlora API, returning clean JSON. Use when the user asks to find a Costco product, check delivery/warehouse availability, browse Costco categories, or pull Costco product reviews—instead of scraping Costco.com.
Check test coverage for unstaged changes. Use when user asks to "check coverage", "/coverage", or wants to see which unstaged changes lack test coverage. Don't use for projects without lcov coverage output, running the full test suite without coverage, or checking coverage of already-committed changes.
Create comprehensive, well-structured README.md files for software projects. Trigger when a project needs a README, when onboarding documentation is missing, when a repository lacks clear usage instructions, or when README content is being reviewed or rewritten. Follow the project's own style and audience; do not impose generic README templates where the project already has strong conventions.
Use when a new skill needs to be created or an existing skill updated, packaging domain knowledge, workflows, scripts and tools into a reusable Skill; generated new skills must be written in Chinese. Trigger words: create a new skill, update a skill, create a skill package, extend AI capabilities.
Comprehensive CrewAI framework guide for building collaborative AI agent teams and structured workflows. Use when developing multi-agent systems with CrewAI, creating autonomous AI crews, orchestrating flows, implementing agents with roles and tools, or building production-ready AI automation. Essential for developers building intelligent agent systems, task automation, and complex AI workflows.
Use when building a val that runs on a schedule — periodic jobs, recurring tasks, polling, cron jobs, monitoring, alerting. Covers the interval handler signature, cron expressions, the UTC timezone constraint, and the `lastRunAt` pattern for detecting new items since the previous run.
Process, transform, analyze, and report on CSV and JSON data files. Use when the user needs to filter rows, join datasets, compute aggregates, convert formats, deduplicate, or generate summary reports from tabular data. Works with any CSV, TSV, or JSON Lines file.
Design and audit customer advisory boards, design partner councils, creator councils, beta cohorts, executive councils, research panels, agenda planning, member selection, confidentiality, incentive boundaries, roadmap signal, commitment management, feedback synthesis, and follow-up loops. Use when customer input should inform strategy without turning into roadmap-by-committee.
Find out why clients actually hire a B2B service company, using evidence the company already owns: won-deal call notes, client interviews, case studies, named testimonials, Clutch or GoodFirms reviews, LinkedIn recommendations. Produces hire reasons ranked by how many clients name them, the events that started each search, what clients tried before, quotable proof numbers, a bank of the clients' own phrases, honest weak spots and the alternatives they weighed. Use when asked "why do clients pick us", "what do our clients say about us", "analyze our customers", "find customer pain points", "client language for messaging", "our positioning from reviews", or before writing ICP, personas, site copy or outbound sequences. Vendor-side research across your own client base. For ONE company you want to sell to, use `account-dossier`
Guides enterprise cybersecurity across security architecture, control design, vulnerability and threat management, incident response, identity security, and GRC alignment (SOC 2, ISO 27001, NIST CSF). Use when defining security strategy, assessing risk, designing defense-in-depth, running security incidents, scoping penetration tests, writing security policies, or high-level GRC strategy—not for hands-on audit evidence automation (compliance-engineer), GRC program/audit prep (compliance-specialist), embedding scans in CI/CD (devsecops), provisioning cloud networks (infrastructure-engineer), or LLM or enterprise red team (ai-redteam, red-team-specialist), binary RE (reverse-engineer), web/API pentest (web-pentester), or on-call/SEV program (incident-management-engineer).
Build, review, debug, migrate, or plan D3.js visualizations with current docs ([email protected] and modular d3-*). Use for d3-array, d3-scale, d3-scale-chromatic, d3-shape, d3-selection, d3-axis, d3-transition, d3-ease, d3-timer, d3-brush, d3-drag, d3-zoom, d3-force, d3-hierarchy, d3-geo, d3-delaunay, d3-chord, d3-contour, d3-quadtree, d3-fetch, d3-dsv, d3-format, d3-time, d3-time-format, d3-color, d3-interpolate, d3-path, d3-polygon, d3-random, d3-dispatch, data join, scaleLinear/band/time/ordinal, line/area/arc/stack, geoPath, forceSimulation, and D3 in React/Svelte (declarative math vs refs+effects).
Automatically scan 8+ tech news sources (Hacker News, GitHub Trending, Product Hunt, 36Kr, etc.) to capture daily trending topics. Supports custom themes (tech, AI, startup). Perfect for content creators who need to catch hot topics quickly. Use when user wants to "check today's trends", "scan tech news", or "find hot topics".
Design data architecture at enterprise and solution levels. Cover data mesh, lakehouse, governance, domain-driven design, conceptual/logical/physical data modeling, platform selection, and compliance frameworks. Produce ADRs, data model diagrams, platform comparison matrices, and governance policy templates. Triggers on "design data platform", "choose data warehouse", "data mesh", "lakehouse architecture", "data governance", "data modeling", "platform selection", "data architecture decision", "compliance framework", or "data strategy". For applied AI solution architecture (RAG data plane, embeddings, vector stores in commercial or enterprise products), use applied-ai-architect-commercial-enterprise. For dbt analytics layers and mart delivery, use analytics-data-engineer—not data-architect.
Guides data center design and build execution—site and tier selection, capacity and density planning (kW/rack, floor loading), power and cooling architecture, physical layout and containment, network meet-me and carrier connectivity, standards alignment (TIA-942, Uptime tiers), contractor coordination, commissioning, and operational handoff (DCIM, monitoring). Use when planning a new or expanded colo/on-prem facility, reviewing MEP and rack layouts, sizing power/cooling for GPU or HPC density, running DC build phases, or accepting a hall from design—not for cloud VPC/IaC (infrastructure-engineer), K8s deploy (cluster-deployment-engineer), ADRs (senior-system-architecture), GRC-only (cybersecurity), compute utilization (data-center-compute-supply-efficiency), DC portfolio (data-center-portfolio-planning-execution-lead), or capacity delivery schedule (senior-data-center-capacity-delivery-manager).
Executes GDPR Article 20 data portability requests, covering machine-readable format requirements (JSON, CSV, XML), direct controller-to-controller transfer mechanisms, and scope limitations to data provided by the subject on consent or contract basis. Activate for portability, data export, Art. 20, data transfer queries.
Best practices for creating clear, accurate scientific visualizations with matplotlib, seaborn, and other Python plotting libraries. Covers common pitfalls, optimization techniques, publication-quality figure generation, and Claude API image size constraints.
50+ chart types with selection criteria, dashboard composition, data tables, KPI cards, sparklines, heatmaps, and accessible data presentation, with React code (Recharts, D3, Nivo) and data-viz tokens. Use when designing charts, dashboards, or any data-dense screen.
Query and manage Datadog monitoring data — logs, metrics, monitors, dashboards, events, SLOs, traces, and incidents. Use this whenever the user wants to search logs, look at a metric, check which monitors are alerting, investigate a trace, pull SLO status, mute an alert, or ask "what's happening in Datadog" — even if they don't say "API". Also use it for any URL under *.datadoghq.com. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
A "de-AI-flavor" expert by 都爆鸭: it points out sentence by sentence where a Chinese text "obviously reads as AI-written" — clichéd connectives, "not A but B", three-part parallelism, general-specific-general structure, uniform sentence length, elevated endings, formulaic openings — and by default only issues a diagnostic report without rewriting; it rewrites only on request, listing item by item "what was changed". It only removes the AI tone; it does not change the platform voice or run compliance checks. Triggers: 去AI味, 去AI化, AI味, AI腔, AI感, 机器味, AI痕迹, 像AI写的, 一眼AI, 这篇是不是AI写的, 改得像人写的, 说点人话, 说人话, 没有人味, 没人味, 太官方了, 太套路了, 全是套话, 文章太干, 改得自然点, 降AI率, AI率太高, 过AI检测. Runs fully locally, no network, no key needed. It does not evade AI labeling, does not do academic paraphrase reduction, and does not promise to pass detectors.
Remove LLM-isms and AI writing patterns from text. This skill should be used when editing prose to sound less like AI output — removing overused words, fixing structural tells, and restoring natural human voice. Triggers: "de-slop", "remove AI writing", "humanize this", "sounds too AI", "LLM-isms", "AI slop", or when reviewing text that reads like chatbot output.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.