Discover AI Agent Skills

Validates and persists FIFA World Cup Fantasy signal files to signals/YYYY-MM-DD-<type>.md. Checks the required frontmatter (type, round, date, emitted_by, confidence, source_urls), range-checks declared numeric signals, confirms every factual claim carries a source URL or "manager-provided", rejects unknown signal types, and refuses to persist a signal that fails validation (logging the failure instead). Keeps the inter-agent signal layer auditable so downstream agents can trust what they read and never re-derive it. Use whenever an agent or skill writes a signal.

Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.

Runs repeatable AI work as checked, budgeted workflow files.

VitePress static site generator powered by Vite and Vue. Use when building documentation sites, configuring themes, or writing Markdown with Vue components.

Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Use when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.

Core principles and workflow router for changes to the Agents Window under src/vs/sessions.

Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.

Use when you need to rebuild the BSP overlay — DT, OOT modules, or kernel — from changes under bsp_sources/. Triggers: build bsp, rebuild dtb, rebuild kernel.

Run the full pre-PR verification routine (format, lint, tests, type/package checks, coverage) in an isolated subagent so the main thread stays clean. Invoke this after a gh pr create is blocked by the pre-tool-use hook; report ready or unready back to the main thread.

Covers the Neo4j Go Driver v6 — driver lifecycle, ExecuteQuery, managed and explicit transactions, session config, error handling, data type mapping, and connection tuning. Use when writing Go code that connects to Neo4j, setting up NewDriver or ExecuteQuery, debugging sessions/transactions/result handling, or working with neo4j-go-driver v5→v6 migration. Triggers on NewDriver, ExecuteQuery, SessionConfig, ManagedTransaction, neo4j-go-driver. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver version migration steps — use neo4j-migration-skill.

Real-time network traffic and per-process bandwidth monitoring. Use when finding which app consumes bandwidth, inspecting active connections, or capturing traffic samples.

Analyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates. Use when a sync is wasteful, throttled, or expensive to operate. Trigger with "reduce Linear API load", "budget Linear queries", or "tune Linear integration cost".

Record a video of an iOS simulator or Android emulator/device screen using argent MCP tools. Use when the user asks to record the screen, capture a video of a flow, interaction, or animation, produce a screen recording, or document app behavior as a video clip.

Core (Core DAO): EVM sidechain whose Satoshi Plus consensus elects validators from delegated Bitcoin hash power, delegated CORE stake and non-custodial CLTV-timelocked BTC stake. Chain ID 1116, 3s blocks, 24h election rounds. Latest client v1.0.26 (2 Sept 2026); CoreRewardFix hard fork activated 3 Sept 2026. USE WHEN: building on Core, implementing non-custodial BTC staking or hash-power delegation, evaluating BTCFi yield venues.

Advanced TypeScript type system patterns for production codebases. [What: branded types for nominal typing, discriminated unions, template literal types, conditional types, the infer keyword, satisfies operator, const assertions, Zod schema inference, type-safe event emitters, exhaustive switch checking] [When: designing domain models, building type-safe APIs, creating reusable generic utilities, eliminating runtime bugs with compile-time guarantees, refactoring any-typed codebases] [Keywords: branded types, discriminated union, template literal types, conditional types, infer, satisfies, const assertion, Zod inference, exhaustive, mapped types, utility types, nominal typing, type narrowing, generic constraints] NOT for basic TypeScript syntax or React component typing (use a React-specific skill).

This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.

Execute programming tasks via Claude Code using PTY-based invocation. Handles non-TTY environments, auto-responds to prompts, and manages file synchronization.

Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor