'diff' 검색 결과

提供在WinForms中通过ElementHost嵌入DiffPlex的WPF DiffViewer控件，实现两个字符串的对比及差异高亮显示的代码方案。

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Review code changes from the current branch, staged changes, a git ref, or a diff/patch file. Pure git-native — no platform/PR awareness. Trigger when user says "review this", "review diff", "/aiwork:code-review-diff", or provides a git ref or diff path. Read-only — never posts comments.

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누적된 코드 변경을 차이 파일과 파일별 설명으로 정리합니다. 확인 화면에서 승인, 거부, 부분 승인을 선택해 기록하고 계획 범위에서 거부된 변경을 되돌립니다.

• 코드 이전 후 변경 내용을 확인할 때
• 파일별로 변경을 승인할 때
• 인계 시 검토 결정을 기록할 때

Git 변경이나 풀 리퀘스트를 지식 그래프와 대조합니다. 변경 지점과 주변 영향, 설계 계층 간 관계, 검토 시 주의할 위험을 정리하고 시각화 데이터를 저장합니다.

• 풀 리퀘스트 검토 준비
• 커밋하지 않은 변경의 영향 확인
• 설계 계층을 넘는 변경 확인

Git 변경 차이의 위험과 복잡도를 평가하고 변경 유형과 권장 검토 역할을 정리해, 풀 리퀘스트 제출 전이나 병합 전에 집중해서 확인할 부분을 좁혀 줍니다.

• 풀 리퀘스트 제출 전 변경 위험을 확인합니다
• 여러 모듈에 걸친 대규모 변경을 검토합니다
• 변경에 적합한 검토 담당 역할을 정리합니다

기록된 브라우저 세션을 단계별로 비교해 스크린샷과 페이지 구조의 차이를 조사합니다. 최초 차이와 전체 유사도를 정리해 화면 변경이나 재실행을 검증합니다.

• 화면 변경 후 시각적 오류 조사
• 재실행과 원래 조작 기록의 일치 확인
• 같은 폼 조작의 A/B안 비교

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.

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

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.

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

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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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• 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.

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

Review Tutti code changes or a named module for structural problems, unclear ownership, dependency direction, and duplicated event infrastructure. A planner scopes the review, supports sub-agent assignments, and helps produce actionable findings ordered by severity.

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• Reviewing the architecture of a current git diff
• Inspecting a named module without current changes
• Checking ownership of event infrastructure

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.

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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.

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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.

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