Skills
99,448 packaged capabilities and playbooks for agents. Install any of them with one command.
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Research-backed customer persona creation with market data and avatar generation. Covers demographics, psychographics, jobs-to-be-done, journey mapping, and anti-personas. Use for: marketing strategy, product development, UX research, sales enablement, content strategy. Triggers: customer persona, buyer persona, user persona, target audience, ideal customer, customer profile, audience research, user research, icp, ideal customer profile, target market, customer avatar, audience persona
Edit dagger.gen.go output, Go templates (object.go.tmpl, defs.go.tmpl), invoke() dispatch, SDK interfaces (CodeGenerator, ClientGenerator), `dagger develop`, `dagger client install`. Keywords: codegen, SDK, bindings, templates, internal/dagger, dag.*, ModuleMainSrc
Automated daily planning and reflection system with morning briefs, wind-down prompts, sleep nudges, and weekly reviews. Use when the user wants to set up a structured daily routine, morning briefings, evening reflection prompts, or weekly planning sessions. Triggers include requests for daily schedules, morning briefs, wind-down routines, sleep reminders, weekly reviews, productivity systems, or daily planning automation.
Install, operate, and troubleshoot 0ceal0t/Dalamud-VFXEditor for user-owned Final Fantasy XIV visual-effect, animation, sound, physics, UI, texture, material, model, and shader files. Use when a user asks about `/vfxedit`, AVFX, PAP, TMB, SCD, Dalamud plugin setup, effect replacement, export handoff, beta repositories, or VFXEditor source builds. Triggers on: Dalamud VFXEditor, /vfxedit, .avfx, .pap, .tmb, .scd, FFXIV VFX mod, or VFXEditor beta.
Convert a business question into a complete dashboard specification. Use when asked to design a dashboard, create a dashboard spec or brief, plan a BI report, or define what charts and metrics a dashboard should include. Produces a structured spec with metrics, dimensions, chart types, filters, and layout guidance.
Structure a product data analysis, metric deep-dive, funnel analysis, or cohort study. Use when asked to analyse product metrics, investigate a drop in conversion, explain a data change to stakeholders, or find the root cause of a metric movement. Produces a structured analysis with question, root cause, confidence level, and recommended action.
Design and audit data deletion and erasure workflows covering user/account deletion, DSAR/RTBF, retention schedules, backups, logs, analytics, billing records, legal holds, fraud/security exceptions, subprocessors, exports, audit proof, customer communication, and recovery limits. Use when personal or customer data must be removed safely and provably.
Build and navigate DSP (Data Structure Protocol) — graph-based long-term structural memory of codebases for LLM agents. Stores entities (modules, functions), their dependencies (imports), public API (shared/exports), and reasons for every connection. Use when: (1) project has a .dsp/ directory, (2) user asks to set up DSP or bootstrap project structure, (3) creating/modifying/deleting code files in a DSP-tracked project, (4) navigating project structure, understanding dependencies, or finding modules, (5) user mentions DSP, dsp-cli, .dsp, or structure mapping.
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and storytelling with data. Use for: charts, graphs, dashboards, reports, presentations, infographics, data stories. Triggers: data visualization, chart, graph, data chart, bar chart, line chart, scatter plot, data viz, visualization, dashboard chart, infographic data, data presentation, chart design, plot, heatmap, pie chart alternative
Load PROACTIVELY when task involves database design, schemas, or data access. Use when user says "set up the database", "create a schema", "add a migration", "write a query", or "set up Prisma". Covers schema design and normalization, ORM setup (Prisma, Drizzle), migration workflows, connection pooling, query optimization, indexing strategies, seeding, and transaction patterns for PostgreSQL, MySQL, SQLite, and MongoDB.
代川 DCVlog: makeup artist Vlog scripting + Korean-style portfolio collages + a sustainable, mature case library. Start with /dcvlog; supports “I want to start writing copy” and “I want to make a collage,” or say “update DCVlog.” In copy mode, it interviews for observations about people during real services, aesthetic choices, and the finished look, then drafts against 19 original texts, avoiding birthday/color-scheme templates. Collages support 1–6 photos; the case library preserves locked baselines and continuously adds new batches.
DDD4J MyBatis-Plus persistence layer conventions skill. Covers the ActiveRecord pattern (Entity must extend BaseEntity→Model<T>), @TableLogic logical deletion, automatic audit field population (createBy/createTime/updateBy/updateTime), the @Param("model") XML parameter convention, PaginationEntity pagination wrapper (15 rows/page/Oracle-style offset), the type handler system (BooleanEnum/dual JSON/ListSetArray splitting), and BaseMapper built-in methods such as getPagedList/setStatus/getCountBy*. Use this skill when users define Entity/Repository, write Mapper XML, use paginated queries, or configure type handlers in a DDD4J project. Use together with the ddd4j-core skill.
Use when debugging any non-trivial bug — wrong output, crash, flaky test, performance regression, or "it works locally but not in CI." Forces a scientific-method loop (Observe → Hypothesize → Experiment → Conclude) so the agent stops guessing and starts reasoning. Prevents the #1 AI debugging failure mode — bulldozing through a wrong idea instead of falsifying it.
Building decay and upkeep systems for survival games. Use when implementing timer-based decay, Tool Cupboard patterns (Rust-style protection radius), resource upkeep costs, or server performance management through automatic cleanup. Balances gameplay and server health.
Hard discipline when the path is still foggy: state destination, maintain decision tickets, graduate fog before solution exploration or OpenSpec proposal; ask humans one ticket at a time via clarifying-question-discipline. Triggers — 「决策雾」「决策票」「清雾再方案」「目的地未清」「decision fog」 / decision fog discipline, decision tickets. Do NOT use as a name alias for wayfinder.
Build a compile-ready LaTeX Beamer deck for a research proposal or a research report — grant/PhD/project proposal defenses, thesis-proposal talks, progress/milestone reviews, mid-term/final project reports, and committee or funder updates. Use when the user wants Beamer slides organized around objectives, work packages, timeline/Gantt, milestones, deliverables, budget, risks, and progress-vs-plan rather than a single paper's contribution: "Beamer slides for my proposal defense", "progress report deck in LaTeX", "milestone review slides", "PhD proposal presentation", "project final report in Beamer". Two phases: slide-spec, then .tex. For a single paper's results talk use deck-beamer-academic; for PowerPoint/Canva executive reports use deck-business-report; for narrative/pacing of a talk use research-talk-planner.
Harden and monitor a Kubernetes cluster against the attacks that actually happen — RBAC least privilege and escalation paths, Pod Security Admission enforcement, network policy default-deny, secrets and service-account token exposure, control-plane and kubelet exposure, and audit-log-based detection. Use when reviewing a cluster's security posture, responding to a suspected cluster compromise, deciding what to enforce and detect, or translating an attack path from attacking-eks-gke-aks into a defense.
Searches the Defold Asset Store for community libraries and extensions. Use BEFORE writing custom modules for pathfinding, RNG, UI, save/load, localization, tweening, input handling, etc. Helps find, compare, and install Defold dependencies.
When the user feels like a bottleneck, needs to hand off responsibilities, wants to free up their time, or says things like 'I'm the bottleneck,' 'I need to delegate,' 'I'm doing too much,' 'what should I stop doing,' 'how do I hand this off,' 'I can't scale myself,' 'team can't operate without me.' Maps to the 5 Levels of CEO Evolution: Doer → Delegator → Director → Designer → Decider.
Skill dedicated to the lighting pitfall-avoidance guide. Covers the full process of no-main-light design, light strips and ambient light, main lights and ceiling lights, color temperature and color rendering and light selection, zoned lighting, and general lighting, integrating in reverse order the highlights of the Xi'an Renovation Classroom member-edition knowledge base to help users renovate with less hassle and avoid lighting pitfalls.
Deploys Palo Alto Networks Prisma Access for SASE-based zero trust network access, configuring GlobalProtect agents, ZTNA Connectors, security policy enforcement, and Strata Cloud Manager integration for unified management. Use when implementing enterprise-grade SASE with integrated ZTNA/SWG/CASB/FWaaS, replacing both VPN and branch firewalls with cloud-delivered security, or integrating ZTNA with an existing Palo Alto NGFW estate.
Load PROACTIVELY when task involves deploying, hosting, or CI/CD pipelines. Use when user says "deploy this", "set up CI/CD", "add Docker", "configure Vercel", or "set up monitoring". Covers platform-specific deployment (Vercel, Railway, Fly.io, AWS), Dockerfile creation, environment variable management, CI/CD pipeline configuration (GitHub Actions), preview deployments, health checks, rollback strategies, and production monitoring setup.
Design an agentic AI architecture from a use case and produce a dated design document. Use when the user wants to design or architect an agent or multi-agent system, decide single vs multi-agent, choose where to place memory, human-in-the-loop, or evaluation, or asks how to build an agent for a specific use case.
Collect, structure, deduplicate, and resolve user and agent feedback on UI/UX skills, subprocesses, design directions, progress-screen gates, Stitch/Pencil/Figma outputs, and implementation steps. Use when comments need statuses such as open, accepted, partially accepted, applied, rejected, or when review-board/progress-page fields must become actionable decisions.
Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.
Remove AI writing patterns from prose. Use this skill when writing, drafting, editing, reviewing, or revising any text to eliminate predictable AI tells, slop, and formulaic patterns. Trigger this skill whenever the user asks you to "deslop", "de-AI", "make it sound human," "remove AI patterns," "remove AI tropes," "clean up AI writing," fix "slop," "deslop" text, or review prose for authenticity. Also use when the user asks you to write or draft anything and wants it to sound natural rather than AI-generated. Common use cases include scientific writing (manuscripts, abstracts, cover letters, grant narratives, discussion sections, peer review responses), blog posts, newsletters, memos, reports, and any other substantial prose.
Complete 9-phase development pipeline guide — from schema to deployment. Pipeline phases (1-schema → 9-deployment) are orthogonal to PDCA's 9-phase per-feature cycle and Sprint's 8-phase container; each pipeline phase may host PDCA cycles for individual features, and multi-feature pipeline initiatives can be wrapped in /sprint (v2.1.13). Triggers: development pipeline, where to start, phase
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
Multi-speaker dialogue audio creation with ElevenLabs and Dia TTS. Covers speaker tags, emotion control, pacing, conversation flow, and post-production. Use for: podcasts, audiobooks, explainers, character dialogue, conversational content. Triggers: dialogue audio, multi speaker, conversation audio, dia tts, two speakers, podcast audio, character voices, voice acting, dialogue generation, conversation tts, multi voice, speaker tags, dialogue recording, elevenlabs dialogue, eleven labs conversation
Performs security-focused differential review of code changes (PRs, commits, diffs). Adapts analysis depth to codebase size, uses git history for context, calculates blast radius, checks test coverage, and generates comprehensive markdown reports. Automatically detects and prevents security regressions.
Read Discord for financial research using the discord-cli tool (read-only). Use this skill whenever the user wants to read Discord channels, search for messages in trading servers, view guild/channel info, monitor crypto or market discussion groups, or gather financial sentiment from Discord. Triggers include: "check my Discord", "search Discord for", "read Discord messages", "what's happening in the trading Discord", "show Discord channels", "list my servers", "Discord sentiment on BTC", "what are people saying in Discord about AAPL", "monitor crypto Discord", "export Discord messages", any mention of Discord in context of reading financial news, market research, or trading community discussions. This skill is READ-ONLY — it does NOT support sending messages, reacting, or any write operations.
Hard discipline for project domain language: maintain a pure glossary in CONTEXT.md (no implementation details), challenge fuzzy or conflicting terms in-session, create files lazily, keep orthogonal to OpenSpec behavioral contracts. Referenced by PDCA hosts during clarify/analyze when domain terms matter. Triggers — 「领域语言」「CONTEXT.md」「术语表」「统一语言」「领域词汇」 / domain language discipline, project glossary, CONTEXT.md. Do NOT use as a substitute for OpenSpec specs.
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.