You are a PR optimization expert specializing in creating high-quality pull requests that facilitate efficient code reviews. Generate comprehensive PR descriptions, automate review processes, and e...
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netbarros/psique☆ 6Updated Apr 22, 2026
Use when working with comprehensive review full review
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netbarros/psique☆ 6Updated Apr 22, 2026
Create comprehensive academic research notes with deep literature coverage. Auto-detects language (EN prompt→EN output, TR prompt→TR output). Supports Obsidian markdown and PDF. Performs 8-15 iterative search cycles with 25-50+ sources for comprehensive coverage. Uses footnote citations and visual overviews.
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MikeCheng1208/BattleTree☆ 2Updated Jul 22, 2026
Comprehensive ad account analysis across all major platforms (Google, Meta Comprehensive paid advertising audit and optimization for any business type. Performs full multi-platform audits (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads), single-platform deep analysis, conversion tracking health checks, creative quality assessment, budget allocation optimization, bidding strategy evaluation, and compliance verification. Industry detection for SaaS, e-commerce, local service, B2B enterprise, info products, mobile app, real estate, healthcare, finance, and agency. Triggers on: "ads", "PPC", "paid advertising", "Google Ads", "Meta Ads", "Facebook Ads", "LinkedIn Ads", "TikTok Ads", "Microsoft Ads", "Bing Ads", "ad audit", "campaign audit", "ROAS", "conversion tracking", "creative fatigue", "bid strategy".
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aAAaqwq/openclaw-team☆ 2Updated Jun 18, 2026
Review authentication, payments, and APIs for security risks using implementation examples and a predeployment checklist. Covers input validation, access permissions, secret storage, request limits, and checks for sensitive information in logs and errors.
- Reviewing login and access permissions
- Checking API input and file uploads
- Reviewing secrets and sensitive logs
affaan-m/ECC☆ 284.6KUpdated Oct 20, 2026
Review Perl code that handles user input, files, external commands, databases, and web output. Use concrete examples and a security checklist to identify unsafe patterns and apply input validation, parameterized queries, and appropriate output encoding.
- Reviewing user input validation in Perl
- Checking file access and external command execution
- Preventing SQL injection in DBI queries
affaan-m/ECC☆ 284.6KUpdated Oct 20, 2026
Connect external services to Claude Code plugins through MCP, a protocol that exposes service functions as tools. Get guidance on server configuration, connection methods, authentication, tool permissions, and testing connections and tool calls.
- Adding a local MCP server to a plugin
- Configuring authentication for a hosted service
- Using multiple services in commands and agents
anthropics/claude-code☆ 152.8KUpdated Oct 20, 2026
Build Claude Code hooks, automated checks triggered by events such as tool use or session start. The guidance covers prompt-based decisions, command scripts, configuration, testing, and debugging for validation and workflow automation.
- Checking commands and file writes before execution
- Verifying task completion before an agent stops
- Loading project context when a session starts
anthropics/claude-code☆ 152.8KUpdated Oct 20, 2026
Create logos, business card mockups, HTML presentations, banners, social images, and SVG icons. Define shared brand colors and typography, then carry those choices into visual assets and interface styling.
- Create logos and business card mockups
- Design social images for multiple platforms
- Build pitch decks in HTML
nextlevelbuilder/ui-ux-pro-max-skill☆ 137.9KUpdated Oct 15, 2026
Audit code and configuration for security flaws, documenting attack paths, impact, evidence, and coverage gaps. Static review works without running the application; qualified runtime profiles add isolated reproduction and proposed repairs while keeping verification claims separate.
- Audit code and configuration for security flaws
- Review security risks in branch changes
- Reproduce findings and prepare repair candidates
garrytan/gstack☆ 137KUpdated Oct 20, 2026
Build charts and interactive data visualizations with D3.js, a JavaScript library for drawing data graphics. Examples across chart types support reports, dashboards, explanatory graphics, and prototypes that let readers explore data.
- Exploring sales data with a zoomable treemap
- Showing relationships in a force-directed network graph
- Displaying daily patterns in a calendar heatmap
nexu-io/open-design☆ 102.8KUpdated Oct 20, 2026
Review GitHub pull requests, or proposed code changes, with specialized agents covering security, performance, architecture, and style. Generate actionable comments, apply quality thresholds, and coordinate automated review workflows.
- Review authentication changes for security issues
- Assess performance impacts of database changes
- Check UI accessibility and coding conventions
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Create and improve GitHub Actions workflows for automated testing and deployment. Coordinate multiple AI agents to review pull requests, investigate failed runs, scan for security issues, and manage releases across repositories.
- Create workflows for automated testing and deployment
- Investigate failed runs and suggest fixes
- Coordinate code reviews and security checks
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Manage GitHub issues, synchronize project boards, and plan sprints, short development cycles. Coordinate multiple AI agents to break work into tasks, assign responsibilities, update progress, and produce reports on completion and blockers.
- Sorting and prioritizing incoming GitHub issues
- Splitting large issues among AI agents
- Synchronizing task progress with project boards
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Organize software releases on GitHub, from version suggestions and release notes to testing, builds, and deployment. Coordinate multiple packages or repositories, roll changes out in stages, and configure rollback to restore an earlier release when problems occur.
- Preparing version updates and release notes
- Coordinating releases across packages and repositories
- Deploying in stages with monitoring and rollback
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Organize software development from requirements and architecture through testing, review, and deployment. Use specialized agent roles, shared memory, and test-driven development, where tests are written before code, to coordinate work across the project.
- Plan and implement a new feature
- Refactor legacy code with supporting tests
- Review code security and performance
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Implement core TypeScript modules for claude-flow v3 using domain-driven design, which organizes code around distinct responsibilities. Build task and session domains, connect storage and services, and add unit and integration tests.
- Build the core structure for claude-flow v3
- Implement task assignment and status rules
- Connect SQLite storage through dependency injection
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Work with AI as a coding partner, choosing who writes code and who guides the work. Supports role switching, test generation, ongoing code review, debugging, and step-by-step explanations for learning.
- Write code with ongoing AI review
- Direct AI implementation while reviewing its output
- Develop features by writing tests first
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Check code and agent outputs, track reliability scores, and roll back changes that fail a chosen threshold. Includes quality reports, live monitoring, and integration with automated build and deployment workflows.
- Checking code produced by AI agents
- Rolling back changes that fail verification
- Tracking quality trends over time
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Measure and optimize claude-flow v3 startup, search, attention processing, and memory use. Compare benchmarks against performance targets, track changes over time, and identify regressions to guide further optimization.
- Compare performance before and after v3 optimization
- Evaluate vector search speed and memory use
- Track performance regressions over time
ruvnet/RuView☆ 98.9KUpdated Oct 20, 2026
Investigate a GitHub project through repository data and web sources, then produce a Markdown report covering its development history, technical structure, activity metrics, and alternatives, with citations and diagrams where useful.
- Investigating an open source project's technical structure
- Reconstructing development milestones from commits and releases
- Comparing a project with competing alternatives
bytedance/deer-flow☆ 84.2KUpdated Oct 20, 2026
Turn academic papers into structured reviews that explain findings, strengths, weaknesses, and research methods. Assess originality and supporting evidence, compare relevant literature, and provide specific improvement suggestions in a detailed review or brief summary.
- Understanding a paper's findings and limitations
- Preparing a draft peer review
- Checking experimental design and reproducibility
bytedance/deer-flow☆ 84.2KUpdated Oct 20, 2026
Measure performance in the agentic-flow worker system, including trigger detection, agent selection, caching, and concurrent operations. Run a full suite or individual benchmarks to compare response times and resource usage against configured targets.
- Checking overall worker system performance
- Measuring trigger detection and agent selection speed
- Examining cache behavior and memory usage
ruvnet/ruflo☆ 77.6KUpdated Oct 20, 2026
Organize software development from requirements and design through testing, review, and deployment. Uses Claude Flow to coordinate specialized agents, share decisions across sessions, and guide implementation with tests written before code.
- Developing a feature from requirements through review
- Refactoring legacy code with supporting tests
- Investigating bugs and adding regression tests
ruvnet/ruflo☆ 77.6KUpdated Oct 20, 2026