“diff”的搜索结果

将代码编辑中累积的修改整理为差异文件和逐文件说明，通过交互界面选择接受、拒绝或部分接受，记录决定，并撤销计划范围内被拒绝的修改。

• 检查代码迁移后的修改
• 逐个文件批准修改
• 在交接时记录审查决定

Analyze Git changes or pull requests against a knowledge graph, a map of code components and relationships. Identify modified files, nearby dependencies, affected architectural layers, and review risks, then save data for a dashboard visualization.

中文简介正在准备中。当前显示英语简介。

• Understanding a pull request before review
• Checking the impact of uncommitted changes
• Reviewing changes across architectural layers

Analyze Git changes before submitting or merging a pull request. Assess risk and complexity, classify changes, suggest reviewer roles, and identify files needing closer inspection using diff statistics and file-level risk analysis.

中文简介正在准备中。当前显示英语简介。

• Assess change risks before submitting a pull request
• Review large changes spanning multiple modules
• Identify reviewer roles suited to the changes

Compare two recorded browser sessions at matching step IDs using screenshots and accessibility snapshots, which describe page elements. Report the first difference and overall similarity to check interface changes or verify replayed sessions.

中文简介正在准备中。当前显示英语简介。

• Checking visual regressions after interface changes
• Verifying a replay against its original session
• Comparing A/B variants of a form workflow

Analyze gene-expression differences in bulk RNA-seq data using PyDESeq2. Validate count tables and experimental designs, test explicit comparisons, adjust for multiple testing, shrink effect estimates, and export statistical results with volcano and MA plots.

中文简介正在准备中。当前显示英语简介。

• Compare gene expression between treatment and control groups
• Analyze expression differences while accounting for batch effects
• Validate count tables against sample metadata

Analyze biological sequences and microbial communities in Python. Process and align DNA, RNA, or proteins, build evolutionary trees, calculate diversity, visualize sample differences, test group differences, and convert common biological file formats.

中文简介正在准备中。当前显示英语简介。

• Calculate and compare microbiome diversity
• Align DNA, RNA, or protein sequences
• Build and compare evolutionary trees

Compare accessibility findings between two versions of a web page. Identify newly introduced and fixed issues, count existing findings, and report evidence and suggested fixes without editing application code.

中文简介正在准备中。当前显示英语简介。

• Check accessibility before committing local changes
• Compare a page against a branch baseline
• Confirm which accessibility issues a change fixed

Transfer known function and variable names from an older binary to a newer version. Compare disassembly and pseudocode with an LLM, produce structured mappings, and apply names and comments in IDA.

中文简介正在准备中。当前显示英语简介。

• Migrate known function names after a software update
• Locate kernel functions when the new PDB is unavailable
• Find updated function addresses and structure offsets

Create concise commit messages from a code diff, a file list, or a description of changes. The skill selects one emoji that matches the change’s purpose, follows gitmoji conventions, and explains the choice without running Git commands.

中文简介正在准备中。当前显示英语简介。

• Writing a commit message from a code diff
• Choosing an emoji that matches a change
• Matching the style of existing commit messages

Prepare a polished paper for a different venue by addressing prior reviewer concerns through limited text edits. Adapt formatting, check page limits and anonymity, and preserve earlier submissions without adding experiments or changing the bibliography.

中文简介正在准备中。当前显示英语简介。

• Resubmitting a rejected paper to a different venue
• Addressing reviewer concerns through text edits
• Adapting a paper to a shorter page limit

Calculates added and deleted lines for a pull request and maintains a three-line summary for implementation, tests, and other files. Preserves existing description text and checks the published counts against the current diff.

中文简介正在准备中。当前显示英语简介。

• Add change counts to a new pull request
• Refresh counts after the final push
• Classify tests and generated files

Review pull requests, commits, branch differences, or local patches for security vulnerabilities. Inspect changed and deleted text files, trace relevant supporting code, and return validated findings, review comments, and a report describing coverage gaps.

中文简介正在准备中。当前显示英语简介。

• Review a pull request for security vulnerabilities
• Check a commit or branch diff before merging
• Inspect local changes, including deleted files

Track gaps between regulatory requirements and company policies, including owners, deadlines, and remediation status. Surface overdue and aging items, record resolutions or accepted risks, and prepare Slack notifications that require explicit confirmation before sending.

中文简介正在准备中。当前显示英语简介。

• Reviewing open policy gaps by owner and deadline
• Recording gaps found by policy-diff
• Sending confirmed Slack reminders to gap owners

Get independent code reviews of uncommitted changes, branch differences, or individual commits using Codex or Antigravity. Receive findings with severity, locations, impact, and suggested corrections, and compare where the two reviewers agree or differ.

中文简介正在准备中。当前显示英语简介。

• Reviewing uncommitted changes for bugs
• Comparing Codex and Antigravity on the same branch diff
• Reviewing a specific commit for security issues

Analyze single-cell RNA sequencing data with scVI and scANVI. Combine experimental batches while correcting technical differences, produce compact cell features for clustering, assign cell types using reference labels, and assess differences in gene expression between groups.

中文简介正在准备中。当前显示英语简介。

• Integrating single-cell RNA sequencing batches
• Preparing cell features for clustering
• Assigning cell types from reference annotations

Review difference-in-differences analyses, which compare changes across treated and comparison groups. It checks pre-policy trends, event-study charts, assumption violations, placebo tests, and robustness, then organizes findings and suggested revisions into a structured report.

中文简介正在准备中。当前显示英语简介。

• Planning checks before a DID analysis
• Reviewing a DID paper
• Checking your own empirical results

Build Python code for economic models and policy evaluation, with guidance on choosing libraries, estimating effects, plotting results, and checking robustness. Covers macroeconomic simulation and causal inference, the analysis of cause and effect.

中文简介正在准备中。当前显示英语简介。

• Implementing macroeconomic models in Python
• Estimating policy effects with difference-in-differences
• Checking assumptions and robustness in causal analysis

Create resumes, reports, papers, and other documents with LaTeX, a document typesetting system, then produce PDFs and page previews. Also convert document formats and handle PDF tasks such as merging files and filling forms.

中文简介正在准备中。当前显示英语简介。

• Creating reports and papers with charts and citations
• Preparing resumes and cover letters
• Converting handwritten PDFs into LaTeX

Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples. Outputs differentially bound regions with fold changes and p-values. Use when comparing ChIP-seq binding between conditions.

中文简介正在准备中。当前显示原文说明。

Turns one-shot external recon into a continuous monitoring program. Covers the scheduled re-scan-and-diff loop (baseline snapshot -> interval sleep -> re-scan -> asset/finding delta -> threshold-gated webhook alert), the scan-to-scan diff engine (new/removed/changed assets by a tracked-attribute table, new/resolved findings by a stable cross-scan fingerprint), adversary CTI / chatter monitoring across six public feeds (ransomwatch, ransomware.live, HackerNews Algolia search, Reddit security-subreddit RSS, GitHub Gist code-search, public Telegram channel scraping) with a source-kind-aware severity engine (leak-site/forum/telegram/paste tiers, CRITICAL through INFO), literal/glob/regex watchlist pattern matching, full-corpus capture with retroactive rescan on new watchlist entries, infrastructure-tracking-over-time discipline (certificate-transparency, passive-DNS, port/service, and typosquat re-enumeration cadence, and what a genuine 'perimeter drift' event looks like in the diff output), a five-state finding-lifecycle state machine (open/triaged/risk_accepted/resolved/false_positive) with per-severity SLA and fingerprint-based cross-scan dedup and auto-resolve/reopen rules, the alert-fatigue trap where a lifecycle-unaware rule re-fires on an already-accepted finding, a durable retry/backoff alert-outbox pattern ('queued is not delivered'), and copy-paste bash-cron plus PowerShell-Scheduled-Task recipes for a re-scan+diff loop with the Slack-compatible webhook payload shape. Passive OSINT and analysis only -- no new active-intrusion technique. Use when setting up ongoing monitoring for a retainer or MSSP engagement, tuning alert thresholds to avoid fatigue, triaging a finding's lifecycle status, investigating adversary chatter about a brand, building a 'what changed on the perimeter since last week' report, or deciding whether a persisting finding should re-alert.

中文简介正在准备中。当前显示原文说明。

Differential abundance (DA) and differential state (DS) analysis for flow and mass cytometry - tests which cell populations change in frequency or marker expression between conditions using diffcyt (edgeR/voom/GLMM for DA, limma/LMM for DS), with cydar, CITRUS, and compositional methods (sccomp, scCODA, DCATS) as alternatives. Covers the sample-is-the-experimental-unit principle, design/contrast and mixed-model formulas, compositionality of cluster proportions, and FDR across clusters. Use when comparing populations between groups, choosing a DA method, handling paired/batch designs, or deciding whether compositional correction is needed.

中文简介正在准备中。当前显示原文说明。

Identifies differentially bound ChIP-seq regions between conditions using DiffBind, csaw (sliding windows), DESeq2/edgeR/PyDESeq2 on count matrices, NormR (control-aware), or MAnorm2. Distinguishes three distinct normalization problems (composition bias, trended bias, global shifts) and matches each to its appropriate fix including spike-in scaling. Use when comparing ChIP-seq binding between experimental conditions, choosing normalization for global vs local changes, integrating spike-in data, or reconciling DiffBind/DESeq2 disagreement.

中文简介正在准备中。当前显示原文说明。

Universal LaTeX document skill: create, compile, and convert any document to professional PDF with PNG previews. Supports resumes, reports, cover letters, invoices, academic papers, theses/dissertations, academic CVs, presentations (Beamer), scientific posters, formal letters, exams/quizzes, books, cheat sheets, reference cards, exam formula sheets, fillable PDF forms (hyperref form fields), conditional content (etoolbox toggles), mail merge from CSV/JSON (Jinja2 templates), version diffing (latexdiff), charts (pgfplots + matplotlib), tables (booktabs + CSV import), images (TikZ), Mermaid diagrams, AI-generated images, watermarks, landscape pages, bibliography/citations (BibTeX/biblatex), multi-language/CJK (auto XeLaTeX), algorithms/pseudocode, colored boxes (tcolorbox), SI units (siunitx), Pandoc format conversion (Markdown/DOCX/HTML ↔ LaTeX), and PDF-to-LaTeX conversion of handwritten or printed documents (math, business, legal, general). Compile script supports pdflatex, xelatex, lualatex with auto-detection, latexmk backend, texfot log filtering, PDF/A output, and verbosity control (--verbose/--quiet). Empirically optimized scaling: single agent 1-10 pages, split 11-20, batch-7 pipeline 21+. Use when user asks to: (1) create a resume/CV/cover letter, (2) write a LaTeX document, (3) create PDF with tables/charts/images, (4) compile a .tex file, (5) make a report/invoice/presentation, (6) anything involving LaTeX or pdflatex, (7) convert/OCR a PDF to LaTeX, (8) convert handwritten notes, (9) create charts/graphs/diagrams, (10) create slides, (11) write a thesis or dissertation, (12) create an academic CV, (13) create a poster, (14) create an exam/quiz, (15) create a book, (16) convert between document formats (Markdown, DOCX, HTML to/from LaTeX), (17) generate Mermaid diagrams for LaTeX, (18) create a formal business letter, (19) create a cheat sheet or reference card, (20) create an exam formula sheet or crib sheet, (21) condense lecture notes/PDFs into a cheat sheet, (22) create a fillable PDF form with text fields/checkboxes/dropdowns, (23) create a document with conditional content/toggles (show/hide sections), (24) generate batch/mail-merge documents from CSV/JSON data, (25) create a version diff PDF (latexdiff) highlighting changes between documents, (26) create a homework or assignment submission with problems and solutions, (27) create a lab report with data tables, graphs, and error analysis, (28) encrypt or password-protect a PDF, (29) merge multiple PDFs into one, (30) optimize/compress a PDF for web or email, (31) lint or check a LaTeX document for common issues, (32) count words in a LaTeX document, (33) analyze document statistics (figures, tables, citations), (34) fetch BibTeX from a DOI, (35) convert a Graphviz .dot file to PDF/PNG, (36) convert a PlantUML .puml file to PDF/PNG, (37) create a one-pager/fact sheet/executive summary, (38) create a datasheet or product specification sheet, (39) extract pages from a PDF (page ranges, odd/even), (40) check LaTeX package availability before compiling, (41) analyze citations and cross-reference with .bib files, (42) debug LaTeX compilation errors, (43) make a document accessible (PDF/A, tagged PDF), (44) create lecture notes or course handouts, (45) fill an existing PDF form (fillable fields or non-fillable with annotations), (46) extract text or tables from a PDF (pdfplumber, pypdf), (47) OCR a scanned PDF to text (pytesseract), (48) create a PDF programmatically with reportlab (Canvas, Platypus), (49) rotate or crop PDF pages (pypdf), (50) add a watermark to an existing PDF, (51) extract metadata from a PDF (title, author, subject).

中文简介正在准备中。当前显示原文说明。

Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is cited in Google's AI Overview. Use when the user asks 'how hard is <keyword> to rank', 'geo difficulty for <keyword>', or 'keyword difficulty for <domain>'.

中文简介正在准备中。当前显示原文说明。