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Found 8,794 Skills
Standalone multi-agent image generation skill for Hermes. Includes an internal design compiler, GPT-Image-2 generation via apimart.ai, case library reuse, interactive reference selection, batch workflows, and style-consistent series generation.
Turn an article or script into a click-driven 16:9 web presentation that "looks like a video", with optional voiceover audio synthesis. Workflow: Original Article → **One-time Output** Script + Outline Development Plan → User **One-time Alignment** on 5 Items (Script / Outline / Theme / Assets / Development Mode) → Web Development (Chapter-by-Chapter / Sequential / Parallel) → Optional Audio Synthesis (Default: MiniMax CLI mmx-cli). **Outline only plans rhythm and information density, not animations** — Animations are designed on the fly during chapter development following the PRINCIPLES + ANTI-AI rules. Each click advances one beat of the script, each step occupies the full screen, and the progress bar is hidden by default only appearing on hover. Application Scenarios: Use web pages to make videos (dynamic PPT but not like PPT), turn scripts/articles into interactive explanations, create screen recording tutorials for Bilibili / YouTube / Video Channels, make cinematic product/talk demos. This Skill embodies design methodology + collaboration process — it is not bound to any specific styles/fonts/colors — so it can be reused for any theme and aesthetic.
Runs available security scanning tools against the current project and produces a consolidated markdown report. Auto-detects installed tools (gitleaks, semgrep, grype, npm audit, bandit, pip-audit, gosec, govulncheck, cargo audit, bundle-audit) and activates language-specific scanners based on project files. Gracefully skips missing tools and provides installation hints. By default scans the entire target directory. Pass --full to make the intent explicit (useful in workflows that combine full-codebase and diff-only scans). Use when running security scans, checking for vulnerabilities, detecting leaked secrets in git history, or validating security posture before commits or releases. Pairs with security-review for a complete security workflow.
Reverse import existing novels. Parse written novels (unfinished or completed) into a standard project directory structure, compatible with the subsequent writing workflow of story-long-write. Internally reuse the deep analysis pipeline of story-long-analyze. Trigger methods: /story-import, "Import Novel", "Reverse Parse", "Import", "Import My Book"
Comprehensive testing doctrine for software and AI systems — covers positive patterns, anti-patterns, gates for coding agents writing tests, CI discipline, and an LLM/agent evaluation primer. Use when authoring or reviewing tests, adding mocks, deciding test placement, generating tests via agents, debugging flaky CI, designing eval suites for LLM features, or rebuilding a brittle test suite. Contains 12 positive patterns (selector hierarchy, table-driven, builders, real-system gates), 25 anti-patterns across Brittleness, Flakiness, Mock-misuse, Process, and AI-specific families, 7 mandatory gates for agents writing tests, flaky-test taxonomy with quarantine workflow, contract / property / mutation testing patterns, and an oracle-ladder primer for LLM-as-judge and agent eval. Language-agnostic — pseudo-code only. Don't use for general code review, library-specific debugging unrelated to tests, non-testing CI pipeline design, or production observability.
Systematic literature review workflow: scope, search (arXiv, Semantic Scholar, Google Scholar), screen, extract, synthesize, and identify gaps. Triggers on: "literature review", "survey the literature", "related work", "systematic review", "synthesize the research", "find papers about", "research gap analysis".
Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces). Covers HogQL syntax differences from ClickHouse SQL, system table schemas (system.*), available functions, query examples, and the schema-discovery workflow.
Official Roblox Studio MCP server tools reference. What each tool does, how to use it, reliability patterns, and workflows for script editing, building, playtesting, and debugging. Use when the AI has an MCP connection to Roblox Studio.
Mend integration. Manage data, records, and automate workflows. Use when the user wants to interact with Mend data.
Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows.
Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.
Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.