Results for “reviews”

以论文作者身份完成学术审稿 rebuttal 全流程。当用户提供审稿意见（reviewer comments / reviews / meta-review）和论文文件（PDF/LaTeX/DOCX/Markdown），需要分析审稿意见、判断是否需要修改论文、修改论文并撰写给审稿人的逐条回复（rebuttal / response letter / author response）时使用。触发词包括：rebuttal、审稿意见回复、回复审稿人、response to reviewers、审稿人意见、major/minor revision 回复。

Score and iteratively improve marketing content with an expert panel until 90+. Use for content quality gates, expert panel reviews, editorial scoring, or when another skill needs a content QA loop.

Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.

Reviews and hardens GitHub Actions workflows against injection, privilege escalation, supply-chain, and token-scoping risks that pattern matchers miss.

Scrapes Amazon product data from ASINs using browseract.com automation API and performs competitive analysis, comparing specifications, pricing, review quality, and visual strategies.

Creates safety alert decks with hazard stripes, tiered cards, and policy code blocks for incident reviews and risk communication.

Runs a full research-to-ideation pipeline: competitive gap analysis, technology trend research, user feedback analysis, and feature ideation, producing structured reports.

Produces academic papers, literature reviews, grant proposals, and clinical reports with LaTeX formatting and verified citations, using research-lookup and parallel-web skills.

Reviews code diffs or explicit file sets through independent correctness and QA lenses, producing a severity-ordered verdict for pre-merge audits or review gates.

Validates product direction before building, runs product diagnostics, founder reviews, user journey audits, and feature prioritization, producing actionable briefs and recommendations.

Build board and investor update decks with structured narratives, metrics dashboards, and C-suite perspectives for board meetings, quarterly reviews, and fundraising.

Designs and reviews feedback loops for AI agents to ensure goals are machine-decidable, loops are damped, and human judgment is preserved.

Detects fake reviews, Sybil rings, rating manipulation, and reputation laundering in ERC-8004 agent ratings across 20+ blockchains using the TrustLayer API.

Conduct systematic reviews of privileged accounts to validate access rights, identify excessive permissions, and enforce least privilege across PAM infrastructure.

Manages a personal operating system for content creation, relationship management, goal tracking, and weekly reviews using progressive disclosure and append-only data files.

Provides HR business partner guidance for organizational planning, hiring, performance management, talent reviews, and employee relations, with templates for role design, interview rubrics, onboarding plans, and communication.

Discovers and installs agent skills from the open ecosystem using the Skills CLI, helping users find capabilities for tasks like React performance, PR reviews, and changelogs.

Builds and reviews Apex code that constructs SOQL/SOSL at runtime, inspects schema metadata, and accesses fields dynamically, with guidance on injection prevention and FLS enforcement.

Reviews a video rough cut by generating deterministic metrics, critiquing the edit against brief and blueprint, and producing review_report.yaml and review_patch.json artifacts.

Manages and analyzes incidents, post-incident reviews, and collaboration workflows in Allma via its REST API, covering incident discovery, timeline tracking, stakeholder communication, and retrospective analysis.

Reviews an academic paper using the NeurIPS review form with three reviewer personas, ensemble scoring, and reflection refinement. Extracts text from PDF, runs structured review, and outputs actionable feedback.

Load this skill when the user says "review issue", "review-issue", or "/review-issue". Reviews an implemented GitHub issue against its requirements and the project coding standards, acting as a critical tech-lead review pass before merging.

Comprehensive guide to prevent unmaintainable code, especially from AI generation. Covers code duplication, documentation, error handling, naming conventions, architecture, performance, dependencies, modularity, testing, and technical debt prevention. Essential for code reviews and ensuring long-term code health.

Extract structured best-selling product data from Amazon, including titles, prices, ratings, reviews, sales volume, and promotions, using the BrowserAct API.

Reviews and repairs risky or unclear code with minimal validated changes, running a fixed-point loop until the diff is clean across two consecutive review cycles.

Rereads code, specs, plans, reviews, or skill edits with fresh eyes to catch blunders, oversights, and omissions before closure, reporting concrete evidence-backed findings.

Use after PNAS reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.

Task tracking for async/multi-step work. Use dex to create, track, and complete tasks that span multiple sessions or require coordination (e.g., coding agent dispatches, PR reviews, background jobs). Tasks stored as JSON files in .dex/tasks/.

Authors or reviews Know/Understand/Do charts for competency-based learning targets across developmental bands. Handles seven input types from raw curriculum documents to existing LT sets. Routes to upstream skills when stronger inputs are available.

Extract public Trustpilot company profile data from a company domain, including TrustScore, star rating, review counts, verification flags, category, contact info, and optional reply behavior metrics.

Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions, covering ownership patterns, lifetimes, trait hierarchies, async/await with tokio, and error handling with Result/Option.

Load this skill when the user says "verify-implementation", "verify implementation", or "/verify-implementation". Reviews the implementation against the issue requirements and project coding standards, runs automated checks, and produces a gated report before acceptance criteria are ticked off.

Coordinates a 13-agent team for rigorous academic research on any topic, supporting eight modes from quick briefs to systematic reviews with meta-analysis.

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy, flagging issues with easing, duration, performance, and accessibility.

Reviews resumes for formatting, design, content, and job-specific fit; scores job postings for fit and interview odds; develops rubrics; extracts content from conversations; and audits the resume generation pipeline.

Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use when reviewing slides, auditing code, or verifying replication.