Results for “ma”

Use this skill when a user needs KOL or influencer research, creator email lookup, similar-creator discovery, outreach-list building, influencer prospecting, or a contact table from TikTok, Instagram, or YouTube profile URLs. It uses AIsa's WaveInflu APIs to find verified creator emails, match similar YouTube or TikTok creators, enrich each recommended profile with contact emails, and return an outreach-ready Markdown table without inventing missing data. Use when: the user needs YouTube search, trend discovery, channel research, or SERP analysis.

Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Triggers — "research [topic]", "look into [topic]", "what do we know about [topic]", "investigate [topic]", "find me information on [topic]", "do some research on [topic]", "I need to understand [topic]", or any research request that doesn't obviously match a more-specific specialist skill. Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.

Strip AI-generated tells from a draft and rewrite it in your own voice. Fire on "humanize this", "de-AI this", "clean up this draft", "rewrite in my voice", "make this sound like me", "kill the AI tells", or "polish this draft". Applies a 30-pattern catalog of AI-writing tells, then re-injects a voice you define so the result reads like a person, not a politer machine. Pattern catalog based on Wikipedia's "Signs of AI writing." Forked from blader/humanizer (MIT).

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.

Programmatic video creation in React with Remotion. Use this skill whenever the user writes Remotion, npx create-video, remotion studio/render/still, useCurrentFrame/interpolate/Sequence, Composition, Mediabunny, or any React-driven video/animation/caption/motion-graphics task — including scaffolding a project, writing markup, rendering/exporting (incl. transparent), adding captions/subtitles, making Studio-editable animations, building a Remotion SaaS (Player/Lambda/Vercel/Cloudflare), or getting media metadata. Do NOT use for ffmpeg-only pipelines, video.js/players, WebRTC live streaming, framer-motion web animation, or After Effects.

Onboards an AI agent into the Senpi trading platform by creating an account, generating an API key, and configuring the Senpi MCP server connection. Supports wallet, Telegram, or agent-generated wallet identity. Use when the user says "set up Senpi", "onboard to Senpi", "connect to Senpi", "install Senpi", "register with Senpi", or when the agent needs to self-register with Senpi for autonomous trading. Do NOT use for trading operations, strategy management, or market queries -- those require the Senpi MCP server to already be connected.

Translate existing blog posts into one or more target languages with SEO-optimized localization. Produces native-quality translations that preserve markdown structure, frontmatter, schema JSON-LD, image and chart embeds, and citation capsules. Localizes keywords, meta tags, numbers, dates, currencies, and quote styles per locale. Flags machine-translation artifacts for review. Run BEFORE blog-localize: this handles language conversion; localize handles cultural adaptation after translation completes. Use when user says "translate blog", "blog translate", "uebersetzen", "traduire", "traducir", "translate post", "blog auf Deutsch", "blog en espanol".

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

Integrate with SAP systems and build extensions. Use when a user asks to connect to SAP S/4HANA, SAP Business One, or SAP ERP via OData, RFC, BAPI, or IDoc interfaces, build SAP BTP (Business Technology Platform) applications, work with SAP CAP (Cloud Application Programming), consume SAP APIs from the API Business Hub, manage master data, automate procurement or sales processes, build Fiori apps, extract SAP data for analytics, or integrate SAP with external systems. Covers S/4HANA APIs, Business One, BTP, CAP, and integration patterns.

Query the STRING API for protein-protein interactions (59M proteins, 20B interactions across 5000+ species), building interaction networks, discovering functional partners, and running GO/KEGG/Pfam enrichment on protein lists. Use when constructing a protein-protein interaction network, expanding from seed proteins to functional partners, or running PPI-based enrichment for systems biology; for curated metabolic pathway maps and reactions prefer alterlab-kegg, and for protein sequences, annotations, or accession ID mapping prefer alterlab-uniprot instead. Part of the AlterLab Academic Skills suite.

When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," or "templated landing pages." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For auditing existing SEO issues, see seo-audit. For content strategy planning, see content-strategy.

Test local web applications by writing native Python Playwright scripts, with helpers for server lifecycle management and a reconnaissance-then-action pattern for dynamic UIs.

Optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources, distinct from traditional SEO.

Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making using financial statements and spreadsheet data.

Guides SOC 2 Type II audit preparation with six forcing questions covering scope, control consistency, evidence tracking, and cross-walk to ISO 27001.

Audit and manage dependencies across multi-language projects by scanning for vulnerabilities, license conflicts, and transitive dependency risks, with safe-upgrade planning.

Subjects every non-trivial decision to a fresh-context adversarial review before it stands, prioritizing correctness over speed for high-stakes or unfamiliar code.

Plans, configures, and manages GKE networking including private clusters, VPC-native configurations, Gateway API, DNS, ingress/egress, Dataplane V2, and IP planning.

Finetune the NV-Generate-CTMR MAISI VAE/autoencoder on user-supplied CT or MRI NIfTI volumes using a staged config and datalist workflow.

Trains, evaluates, exports, and runs inference for Siamese-network-based optical inspection models to detect manufacturing defects and quality issues in image pairs.

Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments.

Exports cookies from a local Chrome browser and saves them into a Browserbase persistent context, enabling authenticated browsing sessions via the browse CLI.

Write reliable, maintainable Rust tests using unit tests, integration tests, async testing, property-based testing, mocking, and coverage following TDD methodology.

Provides idiomatic React 18/19 patterns for hooks, server/client components, Suspense, error boundaries, forms, data fetching, state management, and accessibility-first composition.

Translate visa application documents from images to English and generate a bilingual PDF with the original and translation side by side.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

Optimize lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion rates while preserving data usefulness.

Maps a described workflow to the right ECC command-group with run-order and stop condition, and browses all command-group recipe families.

Resolves native backtrace frames from .NET Android app crashes to function names, source files, and line numbers using ELF BuildIds and Microsoft's symbol server.

Migrate AEM Cloud Service resource listeners to the lightweight ResourceChangeListener + JobConsumer pattern, covering migration from legacy APIs, OSGi configuration, troubleshooting, and review checklists.

Merge, split, rotate, encrypt, decrypt, fill forms, watermark, stamp, and repair PDF files using the command-line tool PDFtk Server.

Creates and manages annotation configs and annotation queues on Arize, and applies human annotations to project spans via the Python SDK.

Provides best practices for building idiomatic Spring Boot applications with Kotlin, covering project setup, dependency injection, configuration, web layer, services, data layer, testing, and coroutines.

Build performant React Native and Expo mobile apps with best practices for list performance, animations, navigation, UI patterns, state management, and monorepo configuration.

Deposit, withdraw, and transfer ETH or USDC privately on Base using Veil Cash's ZK privacy pools, with key management and Bankr integration for signing.

Register AI agents on Ethereum mainnet with a verifiable on-chain identity using ERC-8004, including bridging ETH, IPFS upload, and on-chain registration.