发现 AI Agent Skills

Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.

UWP-to-WinUI 3 migration reference. Maps legacy UWP APIs to correct Windows App SDK equivalents with before/after code snippets. Covers namespace changes, threading (CoreDispatcher to DispatcherQueue), windowing (CoreWindow to AppWindow), dialogs, pickers, sharing, printing, background tasks, and the most common Copilot code generation mistakes.

Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.

Full end-to-end research pipeline: from a broad research direction through idea discovery, experiments, and review all the way to a polished paper PDF. Use when user says "全流程", "full pipeline", "从找idea到投稿", "end-to-end research", or wants the complete autonomous research lifecycle.

Comprehensive GitHub code review with AI-powered swarm coordination

Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.

Analyze and resolve a Salesloft person, then enroll that person in an approved cadence with duplicate, visibility, and consent safeguards. Use when automating controlled prospect enrollment. Trigger with "Salesloft cadence enrollment", "add person to Salesloft cadence", or "Salesloft person workflow".

Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) and image-text posting (贴图).

Comprehensive React/TypeScript frontend code review with per-area review skills, run in parallel where the agent supports subagents and sequentially otherwise.

Master native modules - Turbo Modules, JSI, Fabric, and platform bridging

JavaScript/TypeScript SDK for inference.sh - run AI apps, build agents, integrate with all models. Package: @inferencesh/sdk (npm install). Full TypeScript support, streaming, file uploads. Build agents with template or ad-hoc patterns, tool builder API, skills, human approval. Use for: JavaScript integration, TypeScript, Node.js, React, Next.js, frontend apps. Triggers: javascript sdk, typescript sdk, npm install, node.js api, js client, react ai, next.js ai, frontend sdk, @inferencesh/sdk, typescript agent, browser sdk, js integration

Estimate what a codebase, branch diff, or single commit would COST to build — evidence-driven, not a guess: measure the real scope with the helper scripts (LOC counter + git session analyzer), classify every source line into one productivity bucket, run the cost calculator for engineering hours, organizational overhead, calendar and team-cost views plus Claude ROI, and sanity-check the effective lines/hour — runs as a forked analysis workflow with its own reasoning budget, isolated from the main flow. Keeps raw engineering hours separate from overhead and team multipliers, never presents a number without scope, assumptions, and a confidence level, and never claims region-specific market rates unless the user asked and that research was actually done. Use when the user asks to estimate development cost, effort, engineering hours, or ROI.

Guides Odoo-style commit creation following official Odoo git guidelines. Drafts `[TAG] module: short description` messages, checks whether to amend or create a new commit, stages files explicitly, commits via `git commit -F`, and keeps local history clean before PRs. Auto-invokes for commit-related requests in Odoo repositories and takes priority over generic commit skills.

Google Keep notes via gkeepapi. List, search, create, and manage notes.

Building production-quality CLI tools with Cobra command framework and Viper configuration management

Answers business questions about the user's own spreadsheet or data export (CSV, TSV, XLSX from a CRM, Shopify, Stripe, QuickBooks, ad platforms, HR or payroll systems) correctly and auditably. Profiles every file first (grain, duplicate keys, embedded Grand Total rows, text-stored numbers, mixed currencies, UTC timestamps, Excel serial dates, hidden rows), states the metric definition used, computes every number in SQL or pandas instead of mental math, checks joins for fan-out, reconciles to a known total, and returns the query, filters, row counts, and rows behind the answer. Use this whenever the user says "analyze this spreadsheet", "how many...", "what's the total in this export", "which customers...", "pivot this", "revenue by month", "top 10", "what's our churn/MRR/AOV", or asks any question about their data, CSV, or Excel file, even a quick one. Also use when they ask to change values in a data file.

Generates and validates implementation-ready JSON-LD structured data for relevant page types and rich-result eligibility.

Solve quantitative problems in biophysics — pharmacokinetics (PK volume of distribution, clearance, half-life), epidemiology (R0, attack rate), toxicology (LD50, NOAEL), population genetics (Hardy-Weinberg, Fst), enzyme kinetics (Michaelis-Menten), thermodynamics. Use for first-principles quantitative biology calculations, dose calculations, exposure assessment, and biophysical-property estimation.