Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Generate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.
Snapshots local Codex/Claude CLI sessions across terminals and restores IDs in Ghostty after reboot (保存会话/重启前备份/恢复窗口), audits survivors, and makes change-only automatic backups (定期增量快照). Handles unmanaged Codex account switches (额度耗尽换号); Minions native_runtime uses Account Manager. Not --resume help, screenshots or tmux.
Upload files directly to Google Drive via a deployed Google Apps Script web app. Trigger on: upload to Drive, save to Drive, send to Drive, put this in Drive. Also Hebrew: "תעלה לדרייב", "שמור בדרייב", "העלה לגוגל דרייב". Use proactively when a workflow produces a file the user might want in Drive.
Run a comprehensive Go-to-Market and launch readiness review for a project phase. Combines marketing content audit, code quality review, performance audit, accessibility audit, infrastructure readiness, and business review with council evaluation. Use before phase launches or when GTM review issues are ready.
Search, download, and extract public-domain books from Project Gutenberg. Look up books by ID or keyword via gutendex, download plain-text and EPUB editions, strip licensing boilerplate, extract clean text from EPUB for illustrated works, and classify fiction vs non-fiction. Ships a portable CLI script with zero external dependencies. Use when the user says "gutenberg", "public domain", "download a book", "classic literature", "free ebook", "gutenberg.org", or names any public-domain title or author. Do not use this skill for unrelated requests; route to the nearest named specialist.
P2 phase skill for Headless Ghidra third-party evidence. Use after P1 to review baseline/runtime artifacts, identify or rule out third-party code, record pristine sources, classify functions, and capture evidence before metadata recovery.
Builds sustained high agency through internalized standards, identity anchoring, cross-session learning, and self-recovery — all delivered in corporate PUA rhetoric. This is PUA's evolution: same pressure culture, but with an inner engine that never burns out. Use for ALL tasks to maintain always-on high agency. Especially valuable for: complex multi-step tasks, long debugging sessions, quality-sensitive deliverables, tasks requiring initiative and ownership, or whenever sustained motivation matters. Works standalone or stacked with PUA — when stacked, this skill's Recovery Protocol runs before PUA's L1 pressure kicks in. Trigger on: any task start, sustained work sessions, multi-turn problem solving, or when you need the agent to think like an owner not a tool.
Fast-track an urgent fix through a streamlined pipeline. Skips Product/Feature Council, applies the fix, runs a focused review, and creates a PR with optional Deployment Council. Use for production bugs, security patches, or critical regressions that cannot wait for the full planning pipeline.
[L1 Voice authenticity] AI-tone detection and removal — only deals with "does it sound like a real person." Recognizes 19 AI-tone patterns and selects a strategy by severity. By default it only diagnoses and does not rewrite; rewriting requires user confirmation. Three rewriting modes: automatic replacement, question-driven, and hybrid. Can accept a voice-dissolver voice list as a protected zone. Triggers: AI tone, sounds machine-written, too formal, reads as fake, de-AI, too much AI feel, sounds like ChatGPT wrote it, too templated, tone too standard, lacks personality, AI accent, reads without warmth, sentence patterns too neat, concluding remarks, translationese, doesn't sound human, formulaic. Not for: content quality is insufficient but there is no AI tone (→ L0 chinese-write-checker), structural redundancy/wordiness (→ L2 editor-revisor), can't find your own voice (→ voice-dissolver), layout/punctuation/headings (→ L3 packaging-workshop).
Evaluate a website, landing page, content, or any online asset through the eyes of pre-built synthetic ICP personas. Loads personas from icp-persona-builder output, then runs them against target URLs. Supports three modes: structured scorecard, freeform focus group, and head-to-head competitive comparison. Reusable — run against the same site after changes, or against new content anytime.
Performs an ISO 27001:2022 gap analysis against the full ISMS requirements (Clauses 4-10) and all 93 Annex A controls reorganized into four themes. Auto-invoked when discussing ISO 27001 certification readiness, ISMS implementation, or Statement of Applicability development. Identifies control gaps, scores implementation maturity, and produces a remediation roadmap aligned to the 2022 revision structure.
Save valuable content from AI conversations to an Obsidian knowledge base. Search and retrieve from the knowledge base — answers are grounded in existing content only, with no fabrication. Trigger: /jacky-wiki, "save to KB", "remember this", "search KB", "what's in the KB…"
Unify coding and commenting conventions for Java projects (SLF4J+Lombok logging, choosing Bean Lombok annotations, null checks with Objects/Optional, utility class priority Spring→Apache Commons→Hutool→Guava, design patterns for complex logic / no splitting for simple logic, consistent Controller/Service/ServiceImpl/Mapper comments). Use when you need to "refactor/review/add comments/unify logging/unify utility class usage/complete JavaDoc according to Java conventions".
Check JFrog Public Catalog and stored packages for a version, interpret catalog security signals, and download through Artifactory (JFrog Platform locations, remote cache, curation-aware package managers, or repo proxy). Use when the user asks whether a package is safe, allowed, curated, or wants to download npm, Maven, PyPI, Go, or similar packages via JFrog. Do NOT use for pure CVE or vulnerability lookups (e.g. "details on CVE-2021-23337") — those are handled by the jfrog skill's Public security domain queries without this workflow.
Azure Key Vault + CSI Driver integration for Kubernetes secrets management. Use when creating SecretProviderClass resources, mounting secrets from Key Vault, troubleshooting 403 errors, syncing secrets to K8s, or configuring applications to use Key Vault secrets.
This skill should be used when users need to interact with Kubernetes clusters via kubectl CLI. It covers pod management, deployment operations, log viewing, debugging, resource monitoring, scaling, ConfigMaps, Secrets, Services, and all standard kubectl operations. Supports multiple clusters (production, staging, local k3s) with predefined aliases. Triggers on requests mentioning Kubernetes, k8s, pods, deployments, containers, or cluster operations.
Legal abductive reasoning skill, used to generate and evaluate the most plausible explanatory hypotheses when evidence is incomplete and facts are ambiguous. Combines Mill's five methods (agreement, difference, joint method of agreement and difference, residues, concomitant variations) for structured causal inference. Trigger when the user needs to "propose possible legal interpretations", "generate defense/prosecution hypotheses", "evaluate multiple readings of evidence", or "infer the best explanation from incomplete facts". Applies to case analysis, evidence evaluation, disputes over rule application, causal inference, and similar scenarios.
Amazon External Fulfillment external fulfillment management. Use for per-location inventory queries or updates, fulfillment shipment processing, package and status updates, shipping options, labels, invoices and return queries across programs such as Seller Flex, FBA Onsite, Easy Ship, Self Ship and MFN Self Delivery. Triggered when the user mentions External Fulfillment, SmartConnect, Seller Flex, FBA Onsite, Easy Ship, Self Ship, batchInventory, location inventory, external fulfillment shipments, EF labels, EF invoices or EF returns. Even without explicitly saying "External Fulfillment API", trigger this skill whenever the need concerns inventory, shipments, packages or returns for these external fulfillment programs; use linkfox-amazon-store-orders for regular seller orders and the corresponding fulfillment skill for FBA/MCF.
Comprehensive Amazon FBA management skill. Use to query item inbound eligibility and FBA inventory, adjust inventory, and handle cross-domain processes such as FBA inbound plans, boxing, placement, transportation, shipments, labels, bills of lading, and legacy MCF multi-channel fulfillment orders, returns and tracking. Triggered when the user mentions Amazon FBA, inbound eligibility, Inbound Eligibility, FBA inventory summaries, Send to Amazon, Inbound Plan, FBA shipments, legacy MCF, getItemEligibilityPreview, getInventorySummaries, createInboundPlan, createFulfillmentOrder. If the need specifically concerns the Fulfillment Inbound v2024-03-20 inbound flow, prefer linkfox-amazon-store-fulfillment-inbound; for Fulfillment Outbound v2026-07-04 new MCF, use linkfox-amazon-store-fulfillment-outbound; External Fulfillment and regular seller orders are not covered by this skill.
Use Sorftime to research Walmart US categories: get the full category tree, match relevant NodeIds by natural-language category name, or query category market data and Best Seller products using an underscore-separated NodePath. Use when the user mentions Walmart category tree, category name search, category matching, category nodes, NodeId, NodePath, category market analysis, category research, category size, category best sellers, Best Seller, or needs to locate a category before researching the market.
Use Sorftime to research the Walmart US keyword market, reverse-lookup keywords from names, search-result products, keyword details, product related and expanded keywords, and manage saved keyword folders. Use when the user mentions Walmart keyword research, filtering by search volume or ranking, product keyword reverse lookup, related keywords, keyword details, keyword search-result products, saved keywords, keyword groups, keyword research, keyword discovery, related keywords or product keywords.
Use Sorftime to search Walmart US products by natural-language name, or query product details, product trends and daily sales. Use when the user mentions Walmart product name search, finding products by name, related products, ProductId, product details, price, rating, category ranking, product trends, historical changes, sales trends, variant sales, daily sales, yesterday's sales, competitor discovery or competitor tracking.
Use when you already know the exact URL and need its content as clean Markdown — a pricing page, article, docs page, or a URL found in a previous step. ALSO read this when writing code that calls the Linkup Fetch API. Uses the Linkup Fetch API via the `linkup-fetch` MCP tool or direct REST calls. Prefer this over linkup-search when the URL is known; prefer linkup-extract when you need many structured rows from one listing page.
Guides structured security log analysis across authentication, network, endpoint, and cloud audit log sources. Auto-invoked when the user shares log data, asks about suspicious events, needs help interpreting Windows Event IDs or Linux auth logs, or is establishing baselines for anomaly detection. Produces log source taxonomy, anomaly identification, baseline recommendations, and correlation findings mapped to MITRE ATT&CK v16 techniques.
SpecStory Lore - mine your SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more) into a persistent corpus, surface your reproducible workflows with corroborated evidence, and interactively forge the chosen ones into skills installed across all your agent harnesses. Use when the user wants to turn past AI coding sessions into reusable skills, asks "what could I make into a skill", "mine my lore", "forge skills from my history", or points at a .specstory/history directory.
Distributed systems expert specializing in service decomposition, orchestration, and microservices architecture patterns. Use when designing microservices, defining service boundaries, implementing service mesh, or handling distributed system challenges. Triggers include "microservices", "service mesh", "service decomposition", "distributed systems", "API gateway", "event-driven".
Manages git operations (branching, committing, pushing, syncing) in multi-repo systems — a parent repo with git submodules or multiple service repos. Use this skill when, in such a project, the user wants to create a feature branch, commit or push changes, sync submodules, update submodule pointers, or manage branches across the parent repo and its service repos. Also use when implementing BMAD stories that touch one or more services of a submodule-based project, or when the user asks about git workflow in a multi-repo project. Triggers on phrases like "create branch across services", "commit changes in the services", "sync submodules", "update submodule pointers", "start working on story", "update service branch", or any git operation that spans parent and submodule repos. Not for ordinary git work in a single repo without submodules.
Use this skill when the user wants to add or update Nebula Logger instrumentation in Apex, LWC, Aura, Flow, or OmniStudio. Covers logging APIs, save patterns, record association, scenarios, tags, async transaction linking, and save method selection.
Use this skill when the user wants to write Apex or LWC tests for code that calls Nebula Logger. Covers observing that the right entries were buffered, controlling logging levels inside tests, isolating tests from persisted `Log__c` / `LogEntry__c` / `LogEntryTag__c` / `LoggerScenario__c` / `LoggerTag__c` records, and Nebula Logger APIs that are safe to call from a subscriber's own test suite.
Writing coach that extracts educational content from your daily experiences and turns it into publish-ready newsletter drafts. Use when brainstorming newsletter ideas, writing content for The Little Blue Report, or when you want help turning experiences into educational articles.
Guide for implementing Next.js - a React framework for production with server-side rendering, static generation, and modern web features. Use when building Next.js applications, implementing App Router, working with server components, data fetching, routing, or optimizing performance.
Node-RED visual automation flows for Home Assistant. Covers visual automation, flow JSON, trigger-state, api-call-service, function nodes, context storage, timer patterns, error handling, and node-red-contrib-home-assistant-websocket nodes. Use when user mentions "Node-RED", "flow", "visual automation", or "node-redflöde".
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.