Results for “ma”

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

Implement Shell-based navigation in .NET MAUI apps, including AppShell setup, URI-based navigation with GoToAsync, route registration, query parameters, flyout and tab configuration, and navigation guards.

Analyze malicious software to extract actionable indicators of compromise including file hashes, network indicators, registry modifications, and embedded strings, formatted as STIX 2.1 indicators.

Detect and analyze covert communication channels used by malware, including DNS tunneling, ICMP exfiltration, and protocol abuse for C2 and data exfiltration.

Performs static analysis of Windows PE malware samples using PEStudio to examine file headers, imports, strings, resources, and indicators without executing the binary.

Clusters a GitHub issue backlog by root cause into plan-master issues, redirects children with a standardized comment, and bundles architectural-fix PRs that close clusters atomically.

Renders announcements, messages, or tips as macOS Big Sur+ style notification banners for video overlays, product launch teasers, or social media graphics.

Build and manage Trigger.dev v4 background jobs: durable TypeScript tasks, scheduled/cron jobs, waits, Realtime, React hooks, and the Management API, with live docs fetched first.

Manage Productboard features, notes, objectives, components, and releases through natural language commands.

Provides common Git commands for syncing forks, stashing changes, managing branches, undoing changes, and rolling back commits.

Provides code review best practices, checklists, and example feedback for quality, security, performance, and maintainability.

HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.

Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project patterns. Use Write/Edit tools only.

Prepare PRINCE2 Managing Product Delivery material: work package acceptance, team plans, checkpoint reports, quality evidence, delivery confirmation, and handback notes.

Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.

Use when configuring or maintaining a TypeScript repository, package manager, tsconfig files, linting, formatting, testing, builds, workspaces, CI, or publishing automation.

Manage an Uncloud cluster — deploy services, configure Caddy ingress, add static proxy routes for non-cluster devices, publish ports, scale, inspect logs, and manage machines and volumes with the `uc` CLI.

Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.

Execute advanced evasion by injecting malicious code into the memory space of a legitimate, suspended process (Process Hollowing). This skill details techniques to bypass static and dynamic analysis by masking malicious activity behind trusted processes like svchost.exe or explorer.exe.

Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.

Store and inspect source-indexed proof material extracted from papers, notes, PDFs, or LaTeX sources. Use when Codex needs stable material IDs, source locations, reusable abstractions, proof skeletons, tags, and public attribution before any proof ideas are cooked into proof-usage.

Transforms source materials (URLs, PDFs, DOCX, Markdown, text, screenshots) into a single-file HTML web article that is visually polished, offline-accessible, and shareable, using a structured editorial workflow with checkpoints and quality reviews.

Guidance for implementing CollectionView in .NET MAUI apps — data display, layouts (list & grid), selection, grouping, scrolling, empty views, templates, incremental loading, swipe actions, and pull-to-refresh.

Monitors a watchlist of Kalshi prediction markets for price moves, volume spikes, resolution proximity, and kill-criterion triggers, with cross-venue arbitrage detection against paired Polymarket markets adjusted for fees and slippage.

Build and analyze phylogenetic trees using MAFFT, IQ-TREE 2, and FastTree, with visualization via ETE3 or FigTree for evolutionary analysis, microbial genomics, viral phylodynamics, and molecular clock studies.

Detect sandbox evasion techniques in malware samples by analyzing timing checks, VM artifact queries, user interaction detection, and sleep inflation patterns from Cuckoo/AnyRun behavioral reports.

Diagnose the PM-to-Director transition using altitude (scope) and horizon (time) axes, identify transition zones, and apply the Cascading Context Map when organizational direction is vague.

Assess whether your product work is AI-first or AI-shaped, evaluate maturity across five key competencies, and get recommendations on which capability to build next.

Evaluates a local pre-trade checklist before manual order entry, blocking planless, oversized, revenge-risk, market-regime-blocked, or circuit-breaker-blocked entries while journaling the decision for later review.

Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state/action separation for React state management.

Converts narrative technical documents into structured mathematical problem specifications with variables, constraints, objectives, and uncertainty.

Generate structured, machine-readable implementation plans for features, refactoring, upgrades, or infrastructure changes.

Generates minimal macOS Seatbelt sandbox configurations to isolate and restrict applications with allowlist-based profiles.

Define responsive layout grid systems with columns, gutters, margins, and breakpoint behavior.

Master index of Odoo 18 development guides, covering modules, models, views, security, testing, and more.

Stores shared reference documents and model mapping catalogs consumed by other SDD skills; not invokable as a skill itself.