Load when starting work in 10x-Mapmaster or when unsure about project standards. Covers file organization, naming conventions, type constraints, SQL style, and project-specific…
Score 70/100
Deep codebase exploration using semantic search and relationship mapping. Use when you need to understand the current codebase.
Score 70/100
Apply code changes to a GitHub repository and automatically create a pull request. Takes user feedback or fix requirements, clones the repo, makes localized changes, commits to a…
Score 70/100
Score your codebase 0-100 across complexity, coupling, cohesion, test coverage, documentation, churn hotspots, dependency health, and lint/type safety.
Score 70/100
Generate comprehensive health report for Leavn codebase - metrics, technical debt, bugs found/fixed, recommendations for next session
Score 70/100
Inspect and analyze codebases using pygount for LOC counting, language breakdown, and code-vs-comment ratios.
Score 70/100
Structured workflow for integrating external codebases into agent-studio. Ensures skills, agents, templates, and workflows are properly imported with mandatory router updates.
Score 70/100
Provides cached knowledge about project domains. Maps files by domain, tracks connections between components, records recent commits.
Score 70/100
Codebase organization for pikru. Use when you need to find where specific functionality lives.
Score 70/100
Find and document file locations in the codebase. Use when you need to locate implementation files, tests, configurations, or any code artifacts by feature or topic.
Score 70/100
Explores codebase and writes structured analysis documents. Spawned by map-codebase with a focus area.
Score 70/100
Semantic code search using osgrep for understanding codebases, finding implementations, and navigating large projects.
Score 70/100
Guide quick orientation of an unfamiliar codebase with module mapping, entry points, and local run steps. Use when a junior developer needs to get situated fast.
Score 70/100
Search and navigate large codebases efficiently. Use when finding specific code patterns, tracing function calls, understanding code structure, or locating bugs.
Score 70/100
Convention discovery and rule generation from codebase analysis. Scans project structure, builds search indexes, identifies patterns, and generates enforceable rules.
Score 70/100
Reviews git history to summarize changes merged while you were away from a consulting project, identifying PRs, code changes, and potential concerns to discuss with the…
Score 70/100
This should only be done if the user asks to "clean up code". At the end of a major change on a git branch this document describes the code clean up tasks that should be performed.
Score 70/100
Analyzes test coverage using the Codecov API v2 and codecov-cli uploader. Fetches per-file coverage from /api/v2/repos/{owner}/{repo}/report, computes diff coverage via…
Score 70/100
Analyzes code coverage diffs on pull requests using the Codecov API v2 /repos/{owner}/{repo}/commits endpoint.
Score 70/100
Integrates with the Codecov API v2 and codecov-cli to upload coverage reports, analyze coverage deltas, and enforce minimum thresholds.
Score 70/100
Tracks and enforces code coverage using Codecov API, lcov, and Istanbul/nyc. Generates coverage reports, detects regressions, and blocks PRs below threshold.
Score 70/100
Monitors test coverage trends using the Codecov API v2 /repos/{owner}/{repo}/commits endpoint. Compares branch coverage against base, generates diff-coverage reports, and flags…
Score 70/100
Disciplined code-generation workflow for agents with a sandbox (Read/Edit/Bash/run_tests/run_lint/run_typecheck). Use whenever the task is to modify source code.
Score 70/100
基于当前项目/代码生成 Draw.io 图表，支持技术栈图、系统架构图、数据结构图、E-R 图四种类型。输出符合 Draw.io 语法的 .drawio 文件（mxGraph XML），可直接导入 Draw.io 编辑。当用户提到技术栈、系统架构、数据结构、E-R 图时使用。
Score 70/100
Implement new features using TDD starting from README + Issue (following codegen-test), aligning with existing implementation conventions, and leveraging Serena MCP semantic…
Score 70/100
Automate Codeinterpreter tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Analyze codebase structure, dependencies, and changes. Use when user asks about project structure, where code is located, how files connect, what changed, or before starting any…
Score 70/100
Extract and resolve required CodeQL alert metadata from user input before remediation
Score 70/100
Produce the final CodeQL fix result table and choose the correct exit code and retry behavior
Score 70/100
CodeQL is a static analysis framework that queries code as a database. Use when you need interprocedural analysis or complex data flow tracking.
Score 70/100
Classify and remediate CodeQL alerts with the SymFix workflow using staged changelog updates
Score 70/100
Implementation Agent: Full TDD workflow in a single context window. Writes tests, implements code, and iterates until all tests pass.
Score 70/100
Self-hosted Convex development in Coder workspaces with authentication, queries, mutations, React integration, and environment configuration
Score 70/100
Retrieve universal coding patterns from vector database using true two-stage retrieval. Auto-invokes before complex tasks or when user says "--recall".
Score 70/100
Store universal coding patterns into vector database. Auto-invokes after difficult tasks with broadly-applicable lessons.
Score 70/100
AI-powered code review using CodeRabbit CLI and GitHub integration. Use when running local code reviews before commits ("run coderabbit", "review my changes"), configuring…
Score 70/100
Diagnose and fix CodeRabbit common errors and configuration issues. Use when CodeRabbit is not reviewing PRs, posting duplicate comments, ignoring configuration, or behaving…
Score 70/100
Execute CodeRabbit primary workflow: automated PR code review with configuration. Use when setting up automated code reviews on pull requests, configuring review behavior, or…
Score 70/100
Tune CodeRabbit review configuration: learnings, code guidelines, and noise reduction. Use when fine-tuning review quality, training CodeRabbit with team preferences, adding code…
Score 70/100
Optimize CodeRabbit costs through seat management, repo selection, and review scope tuning. Use when analyzing CodeRabbit billing, reducing per-seat costs, or implementing usage…
Score 70/100
Implement CodeRabbit PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention…
Score 70/100
Configure CodeRabbit enterprise access control, seat management, and organization policies. Use when managing who gets AI reviews, configuring organization-level defaults, or…
Score 70/100
Implement fixes for specific CodeRabbit review issues. Runs in isolated subagent context with focused task. Verifies fixes with tests before returning.
Score 70/100
Execute CodeRabbit incident response procedures when reviews stop working or block PRs. Use when CodeRabbit is down, reviews are not posting, PRs are blocked by stale checks, or…
Score 70/100
Install and configure CodeRabbit AI code review on GitHub or GitLab repositories. Use when setting up CodeRabbit for the first time, installing the GitHub App, configuring the…
Score 70/100
Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution
Score 70/100
Migrate to CodeRabbit from other code review tools or roll out across a large organization. Use when switching from another AI review tool, migrating from manual-only reviews, or…
Score 70/100
Configure CodeRabbit review behavior per branch and environment using path instructions and base branches.
Score 70/100
Monitor CodeRabbit review effectiveness with metrics, dashboards, and alerts. Use when tracking review coverage, measuring comment acceptance rates, or building dashboards for…
Score 70/100
Optimize CodeRabbit review speed, relevance, and signal-to-noise ratio. Use when reviews take too long, contain too many irrelevant comments, or when teams are experiencing review…
Score 70/100
Executa CodeRabbit CLI em modo prompt-only para revisar alterações locais, identificar issues, planejar correções e validar com testes antes do commit
Score 70/100
Integrates CodeRabbit for automated PR code review. Use after PR creation to get AI-powered review feedback before human review.
Score 70/100
Analyze code review findings and create execution plan. Decides parallel vs sequential fixing based on issue severity and independence.
Score 70/100
Update CodeRabbit configuration for new features, migrate between plans, and adopt new capabilities. Use when CodeRabbit releases new features, upgrading from Free to Pro plan, or…
Score 70/100
Implement CodeRabbit webhook signature validation and event handling. Use when setting up webhook endpoints, implementing signature verification, or handling CodeRabbit event…
Score 70/100
Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution
Score 70/100
Automate Codereadr tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Create, manage, and optimize GitHub Codespaces cloud development environments. Configure devcontainers, manage resources, and streamline cloud-based development.
Score 70/100
Create, manage, and optimize GitHub Codespaces cloud development environments. Configure devcontainers, manage resources, and streamline cloud-based development.
Score 70/100
Ranked structural code search with codespelunker; use grep for exact regex/literal scans.
Score 70/100