Results for “class-dump”

Configure and collect crash dumps for modern .NET applications (CoreCLR and NativeAOT) on Linux, macOS, and Windows, including containers.

Deduplicating Training Data Makes Language Models Better

Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.

Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.

Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.

Autopsy a stuck project, extract salvageable artifacts, and route to a fresh start via $bootstrap-repo reset or new-repo bootstrap

Brain Dump Journaling

Analyze core dumps, debug live processes, and investigate crashes, deadlocks, and memory issues in C/C++ programs using GDB with source code correlation.

Merges mature lessons from a domain memory file into its instruction file, preserving knowledge with minimal redundancy.

Diagnose failed or unhealthy Dynamo deployments by collecting a read-only debug bundle, classifying failures, and providing step-by-step remediation guidance.

Perform nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows using the umap-learn library.

Explains MariaDB-specific defaults and traps of the mariadb-dump client for dev workflows, including consistent backups, routines/events flags, diffable dumps, idempotent seeding, and restore via the mariadb client.

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script).

Extract clean markdown content from web pages by removing clutter, navigation, and ads to save tokens.

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.

Find and remove unused files, dependencies, and exports in JavaScript/TypeScript projects with Knip. Use when someone asks to "find unused code", "clean up dependencies", "remove dead code", "find unused exports", "Knip", "reduce bundle size by removing unused files", or "audit npm dependencies". Covers unused files, dependencies, exports, types, and CI integration.

Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft using Sysmon Event ID 10, Windows Security logs, and SIEM correlation rules.

Runs a headless-Chromium sweep at phone/tablet widths to catch off-screen overflow, tiny touch targets, clipped text, and oversized modals, then reports each offender with a screenshot and a concrete fix.

Hard Negative Mixing for Contrastive Learning

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.

YouTube 视频智能剪辑工具。下载视频和字幕，AI 分析生成精细章节（几分钟级别）， 用户选择片段后自动剪辑、翻译字幕为中英双语、烧录字幕到视频，并生成总结文案。 使用场景：当用户需要剪辑 YouTube 视频、生成短视频片段、制作双语字幕版本时。 关键词：视频剪辑、YouTube、字幕翻译、双语字幕、视频下载、clip video

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting, then commit with git.

Audits codebases, pages, or documents for AI-generated design and copy tells, then proposes surgical fixes for user approval.

Extracts and analyzes malicious VBA macros, XLM macros, DDE, and remote template injections in Microsoft Office documents using olevba, oledump, and deobfuscation techniques to identify download cradles, payload execution, and persistence mechanisms.

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing.

Audit and implement behavior-preserving cleanup across types, dead code, dependencies, errors, and comments