productivity▌

Measure code exercised during fuzzing to assess harness effectiveness and identify blockers. \n \n Supports LLVM, GCC, and Rust instrumentation with step-by-step workflows for building coverage-instrumented binaries and executing them against fuzzing corpora \n Provides detailed guidance on generating text and HTML reports using llvm-cov, gcovr, and cargo-fuzz, including filtering harness code and handling large codebases \n Includes practical patterns for identifying magic value checks, handlin

XState Store adapter for json-render's StateStore interface. Wire an @xstate/store atom as the state backend for json-render.

Complete guide for provisioning, configuring, and securing Firestore Enterprise Native Mode. \n \n Covers provisioning setup, data model organization, and SDK integration across multiple languages \n Includes comprehensive security rules guidance for protecting data access and enforcing authorization policies \n Provides index configuration and query performance optimization best practices \n Structured reference documentation for each major setup and operational area \n

Master smart contract security with vulnerability detection, auditing methodology, and incident response procedures.

Retrieve and review responses from a Google Form in three steps. \n \n Requires the gws-forms skill as a prerequisite dependency \n Provides three sequential commands: list available forms, fetch form details by ID, and retrieve responses in table format \n Designed as a recipe workflow for straightforward form response collection and review tasks \n

Validate data pipelines with Great Expectations, dbt tests, and data contracts. \n \n Covers three complementary frameworks: Great Expectations for statistical and schema validation, dbt tests for transformation layer checks, and data contracts for cross-team data agreements \n Includes six core quality dimensions (completeness, uniqueness, validity, accuracy, consistency, timeliness) with ready-to-use expectation patterns and custom test examples \n Provides checkpoint automation for CI/CD inte

All commands: nansen research token <sub> [options]

RCSB PDB is the worldwide repository for 3D structural data of biological macromolecules. Search for structures, retrieve coordinates and metadata, perform sequence and structure similarity searches across 200,000+ experimentally determined structures and computed models.

Extract Google Sheet data and generate a formatted Google Docs report with sharing. \n \n Requires three Google Workspace skills: gws-sheets for data reading, gws-docs for document creation and formatting, and gws-drive for permission management \n Workflow chains four operations: read sheet ranges, create a new Doc, write formatted content with headers and sections, and share with specified stakeholders \n Supports markdown-style formatting in the report output and role-based access control for

Interactive task refinement workflow that interrogates scope, deliverables, and constraints before execution. \n \n Uses the joyride_request_human_input tool to ask clarifying questions iteratively, ensuring full understanding of task requirements before proceeding \n Guides users through defining objectives, success criteria, technical requirements, and expected deliverables through structured dialogue \n Performs project exploration including web research when needed to build comprehensive tas