productivity▌

Professional editing across four levels: proofreading, copy editing, line editing, and developmental editing. \n \n Covers grammar, punctuation, spelling, and formatting at the surface level, plus deeper work on sentence structure, word choice, and clarity \n Includes comprehensive checklists for evaluating clarity, concision, grammar, style, tone, and document structure \n Provides structured output format with summary, edited text, key improvements, and actionable suggestions for future writin

Streamline Claude Code memory files through 4 interactive optimization steps. \n \n Removes duplicate entries already present in CLAUDE.md or rules files, then migrates remaining entries to appropriate persistent config locations \n Compresses remaining memory entries using LLM-efficient formatting (prose to tables, verbose descriptions to imperatives) \n Validates final state by checking for broken references, contradictions, and orphaned files \n Typical reduction of 30–50% token count in memo

Scans Cosmos SDK blockchains and CosmWasm contracts for 9 consensus-critical vulnerabilities. \n \n Detects non-determinism, incorrect signers, ABCI panics, rounding errors, missing validations, and reentrancy patterns that cause chain halts or fund loss \n Supports Go (Cosmos SDK modules) and Rust (CosmWasm contracts) with automatic platform detection via file extensions and import markers \n Provides detailed findings with vulnerable code snippets, attack scenarios, and step-by-step remediatio

Detects timing side-channel vulnerabilities in cryptographic code across 12 languages. \n \n Analyzes assembly or bytecode to flag variable-time operations (division, secret-dependent branches, weak RNG, table lookups by secret index) that leak secret data through execution timing \n Supports C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript, TypeScript, Python, and Ruby with language-specific analysis guides \n Offers cross-architecture and optimization-level testing for compiled langu

Expert guidance for building .NET 8 applications with clean architecture, minimal APIs, and cloud-native patterns. \n \n Covers minimal APIs, Entity Framework Core, CQRS with MediatR, JWT authentication, and AOT compilation for .NET 8 \n Enforces async/await patterns, nullable reference types, record DTOs, and clean architecture layer separation \n Includes reference guides for minimal APIs, clean architecture, Entity Framework, authentication, and cloud-native deployment \n Provides code exampl

Create and checkout git branches with smart validation and GitHub issue integration. \n \n Automatically links branches to GitHub issues when an issue number is provided, using gh issue develop for seamless project tracking \n Intelligently applies semantic prefixes (feature/, bugfix/, hotfix/, chore/, docs/) based on keywords in the branch name \n Validates branch names for kebab-case formatting, forbidden characters, length limits, and duplicate detection across local and remote branches \n De

Multi-core fuzzer for C/C++ projects with advanced instrumentation and mutation strategies. \n \n Supports three compilation modes (LTO, LLVM, GCC plugin) with libFuzzer-style harnesses for persistent fuzzing at 10-20x faster speeds than fork server mode \n Excels at parallel fuzzing across multiple cores with asymmetrical job configurations (e.g., one ASan instance plus non-instrumented workers) \n Includes CMPLOG/RedQueen path constraint solving, integrated sanitizer support (ASan, UBSan), and

Discover and execute standardized development workflows using Task automation instead of direct shell commands. \n \n Provides command discovery via task --list and built-in help, showing all available project tasks with descriptions \n Covers common patterns: task dev for fast iteration, task test for testing, task docs for documentation, and task ci for full CI simulation \n Wraps language-specific commands (Julia, R, Python, etc.) with consistent naming conventions and multi-step workflows \n

STRING is a comprehensive database of known and predicted protein-protein interactions covering 59M proteins and 20B+ interactions across 5000+ organisms. Query interaction networks, perform functional enrichment, discover partners via REST API for systems biology and pathway analysis.

Free distributed continuous fuzzing infrastructure for open-source projects with integrated coverage and bug tracking. \n \n Provides CLI helper script for building Docker images, compiling fuzzers with sanitizers (AddressSanitizer, UndefinedBehaviorSanitizer), and running harnesses locally \n Supports multiple fuzzing engines (libFuzzer, AFL++) and languages (C/C++, Python via Atheris, Rust, Go) with language-specific base images \n Includes public bug tracker, build status dashboard, and Fuzz