Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
All
This skill should be used when the user wants a "blob store" or "object storage", names "S3" or an S3-compatible store, needs to "store images / video / files", asks about "multipart upload" or "resumable upload", "signed / presigned URLs", "media storage", "unstructured data at scale", object "versioning", storage "tiering" (hot/cold/archive), or "erasure coding" vs replication for durability. Use it whenever a design must hold large unstructured objects (photos, video, backups, logs, ML datasets) and serve them cheaply and durably, even if the user just says "where do we put the files".
Keep a Blume docs site in sync with the product it documents. Audit recently merged pull requests, changelogs, config schemas, CLI help, and public APIs against the docs content, update only pages that are factually stale, verify the docs build, and open (or update) a maintenance pull request — or report a clean no-op. Use when asked to check docs for drift, refresh stale documentation, run a scheduled docs audit, or keep docs current after a release.
Use this skill when the user asks about “pantsing,” “discovery write,” “write without an outline,” “discovery draft,” “write into the dark,” “story kernel,” “reconcile a chapter,” “dead end,” “drafting sprint,” or “writing cadence,” or wants to draft a story by discovery with retrospective bible reconciliation. NOT for outline-first drafting, mysteries and other clue-dependent genres where setup must come before payoff (use chapter-writing), reverse outlining an existing linear draft, cutting a subplot, or another revision pass on existing chapters (use revision-continuity).
Apply factor models to portfolio construction and fund evaluation, from CAPM through the Fama-French 3- and 5-factor models plus momentum. Use when the user asks about 'Fama-French', 'value factor', 'smart beta', 'factor tilt', 'momentum exposure', or the 'factor zoo', wants to run or interpret a factor regression (loadings, alpha after controlling for factors, R-squared, t-stats), decompose a manager's returns into factor exposures versus skill, or asks 'is my fund closet indexing'. Also trigger on SMB, HML, RMW, CMA, UMD, size/value/quality/profitability/low-vol premia, factor ETF or smart-beta product evaluation (factor purity, turnover, capacity, fees), factor cyclicality and the danger of factor timing, factor crowding, long-short academic factors versus long-only implementable tilts, and post-publication factor decay.
This skill should be used when the user asks to "create git commit", "manage branches", "follow git workflow", "use Conventional Commits", "handle merge conflicts", or asks about git branching strategies, version control best practices, pull request workflows. Provides comprehensive Git workflow guidance for team collaboration.
Software architect specializing in Go projects. Use when designing any Go application—backend services, CLI tools, libraries, infrastructure tooling, or distributed systems—including architecture selection, module design, dependency management, and project structure
When the user wants help with Google Ads audience targeting, remarketing lists, RLSA (Remarketing Lists for Search Ads), Customer Match, lookalike audiences, in-market audiences, custom intent audiences, affinity audiences, audience segmentation, or audience bid layering. Triggers on 'audience targeting', 'remarketing', 'RLSA', 'Customer Match', 'lookalike', 'in-market audience', 'custom intent', 'audience list', 'audience signal', or 'retargeting list'. For audience signals in PMax see google-ads-pmax.
Reverse-engineers Apple firmware and binaries with the ipsw CLI. Inspects IPSWs and OTAs remotely or locally; extracts kernelcaches, dyld_shared_cache, exclave, SEP, and coprocessor firmware; disassembles and cross-references DSC dylibs, KEXTs, and Mach-Os; dumps and diffs ObjC/Swift headers; decompiles and queries sandbox profiles; searches entitlements; symbolicates crashes and panics; and diffs releases. Use for iOS/macOS internals, private frameworks, kernel or firmware research, and Apple security research, even when ipsw is not named.
Gary Vaynerchuk's jab-jab-jab-right-hook framework applied to a personal portfolio rotation on X and LinkedIn. Jabs = build-in-public + educational (value). Hooks = promo (the ask). Each property in the user's configured portfolio (see `~/.config/makerskills/jab-hook/properties.yaml`) gets a hook at least once every ~3 weeks; jabs fill the rest. Drafts go into the user's Typefully workspace via MCP. Modes — plan (7-day plan), pick-next (single post), audit (coverage report), draft (specific post). Triggers on "/jab-hook," "what should I post," "plan my socials," "next promo," "next jab," "next hook," "social rotation," "promote [property]," "BIP post," "audit my socials," "what haven't I posted about."
Comprehensive marketing expertise combining campaign execution, strategy frameworks, psychological principles, and 140+ marketing tactics. Use when planning campaigns, developing content strategy, applying behavioral science, generating marketing ideas, or building go-to-market strategies. Covers email, social, SEO, paid ads, content, and psychology-driven optimization.
This skill should be used when the user asks to "set up Nuxt Studio", "configure Studio OAuth", "deploy Studio to Cloudflare", "add visual editor to Nuxt", "configure studio.domain.com subdomain", "Studio authentication", "Nuxt CMS", or mentions visual content editing, Nuxt Studio module, TipTap editor, Monaco editor, or content management for Nuxt websites
Implement the Syncfusion Blazor DataForm component to create dynamic, data-bound forms with validation and field management. Use when building forms with Syncfusion components in Blazor, handling form validation, binding models, creating editable fields, or managing form events. Covers form layout customization, data binding, FormItems configuration, FormAutoGenerateItems setup, templates, events, and data annotation validation.
Implements the Syncfusion Blazor TreeGrid (SfTreeGrid) for hierarchical or self‑referential data with expandable nodes and nested row structures. Use this skill when building tree‑view workflows in Blazor Server, WebAssembly, Web App, or MAUI applications. Supports GraphQL binding, templates, sorting, filtering, editing, paging, aggregates, search, exporting, virtualization, clipboard actions, and state management for rich hierarchical data experiences.
You MUST use this whenever something is broken, before proposing or making any fix, including quick fixes and when the user is in a hurry: a bug, a failing or red test, a build or CI failure, a crash, a performance problem, unexpected behavior. Finds the root cause in four phases (investigate, compare, test one hypothesis, fix with a failing test first) instead of guessing, and stops after three failed fixes to question the design. Not for writing new features.
Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-design-assistant output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'.
Query VictoriaLogs via curl. Use when searching logs with LogsQL, running log stats queries, discovering log fields/streams, analyzing log hit patterns, or exploring log facets. Triggers on: log queries, LogsQL, log search, log stats, field discovery, stream discovery, log facets, log hits, log field values
C-ABI bindings over agent-desktop's PlatformAdapter. Consumers (Python ctypes, Swift, Node ffi-napi, Go cgo, C++, Ruby fiddle) link libagent_desktop_ffi.{dylib,so,dll} and call `ad_*` functions directly instead of spawning the CLI binary per call. The canonical observe-act workflow is: ad_init → ad_adapter_create[_with_session] → ad_snapshot → read qualified refs (@s8f3k2p9:e5) → ad_execute_by_ref → ad_free_string → ad_adapter_destroy.
Generate hyper-detailed prompts for Claude Code agent teams based on a plan, feature request, or conversation context. Use this skill whenever the user wants to create a prompt for an agent team, prepare a task for a coding agent, generate a team prompt, build an autonomous agent workflow, or says things like "create a prompt for agent teams," "prepare a task for a fresh session," "generate a team prompt," "build me an agent prompt," "I want to hand this off to an agent team," "create agent team instructions," or "write me an autonomous coding prompt." Also trigger when the user describes a complex feature and asks to delegate it, wants to prepare work for parallel agents, or mentions "fresh context," "copy-paste prompt," or "autonomous implementation."
Alba serializers + Typelizer for type-safe Inertia Rails props with auto-generated TypeScript types. Use when serializing models for Inertia responses, setting up Alba resources, generating TypeScript types from Ruby, or using Inertia prop options (defer, once, merge, scroll) with Alba attributes. Replaces as_json with structured, auto-typed ApplicationResource, page resources, and shared props resources. When active, OVERRIDES the `render inertia: { ... }` pattern from other skills — use convention-based instance variable rendering instead.
Create structured plans for any multi-step task -- software features, research workflows, events, study plans, or any goal that benefits from structured breakdown. Also deepen existing plans with interactive review of sub-agent findings. Use for plan creation when the user says 'plan this', 'create a plan', 'write a tech plan', 'plan the implementation', 'how should we build', 'what's the approach for', 'break this down', 'plan a trip', 'create a study plan', or when a brainstorm/requirements document is ready for planning. Use for plan deepening when the user says 'deepen the plan', 'deepen my plan', 'deepening pass', or uses 'deepen' in reference to a plan.
Audits a repository's GitHub Actions workflows for CI optimization opportunities — missing caches, redundant setup, sleep-based readiness, long test jobs without sharding, full-history checkout, dead env vars, build-cache misconfig, and ~60 more patterns across caching, redundancy, parallelization, conditional execution, trigger scope, and hidden failures. Use when: (1) analyzing a repo's CI for optimization opportunities, (2) producing a prioritized report with measured wall-clock and runner-minute savings, (3) re-auditing after upstream CI changes. Do not trigger for: general CI setup help, writing new workflows from scratch, non-GitHub-Actions CI systems, or security/posture audits — use `ci-secure` for those.
Run a formal multi-perspective debate on one contested MEL/SRHR design decision: persona agents mapped to real specialist lenses research the call independently and blind, debate one round, then a decision-memo-shaped synthesis keeps agreements and genuine disagreements visible for Ane to decide on. Use when Ane cannot decide between named options and wants independent perspectives argued. Token-heavy by design: reserve for real decisions. Not for sharpening a design she already leans on (/grill-mel), net-new builds (brainstorming), or a plain options paper (/decision-memo), and never for building anything.
Install and configure the DefiLlama MCP server for DeFi analytics. Provides 23 tools for TVL, token prices, yields, protocol metrics, stablecoins, bridges, ETFs, hacks, raises, and more. Supports OAuth login with your DefiLlama account. Use when the user wants to set up DefiLlama MCP, connect to DeFi data, or install DeFi analytics tools.
Financial analysis expertise for financial modeling (DCF, LBO, M&A), valuation, financial statement analysis, capital allocation, treasury management, and corporate finance decisions. Use when building financial models, analyzing statements, or making investment decisions.
Create HeyGen avatar videos via the v3 Video Agent pipeline — handles avatar resolution, aspect ratio correction, prompt engineering, and voice selection automatically. Required for any HeyGen API usage (api.heygen.com). Replaces deprecated v1/v2 endpoints with the optimized v3 pipeline. Use when: (1) calling any HeyGen API endpoint (api.heygen.com), (2) creating a HeyGen avatar or digital twin from a photo, (3) making a personalized video message (outreach, pitch, update, announcement, knowledge), (4) "make a video of me", "create my HeyGen avatar", "I want to appear in this video", (5) "send a video to my leads", "record an update for my team", "make a loom-style message", (6) building identity-first videos where the presenter IS the user or agent, Covers: HeyGen API, api.heygen.com, video generate, avatar create, voice list, talking photo, HeyGen avatar creation, voice design, photo → digital twin, HeyGen video generation, identity-first video, messaging-first video, AI presenter, talking head video. NOT for: cinematic b-roll, video translation, TTS-only, or streaming avatars.
한글 글에 AI 티가 얼마나 있는지 재고, 실제로 고치면 어떻게 되는지 표본으로 보여주는 정찰 스킬. 실측 판별력 상위 6개만 본다. 워크스페이스·진단·게이트·서브에이전트 없이 이 대화 안에서 끝낸다(파일 0개, 서브에이전트 0회). 손볼 게 많다고 나오면 전수 윤문은 humanize-korean(=/humanize)으로 넘긴다. 트리거 — "이 글 AI 같아?", "AI 티 있나 봐줘", "스캔해줘", "윤문 돌릴 값어치 있나", "AI 티 점수", "quick humanize", "/humanize-scan".
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.