Marketplace
SkillHub Club catalog feed.
Public marketplace mirror sourced from skillhub.club. This source view keeps the new outcome-first browsing model while filtering server-side to a single upstream feed.
code-standards-analyzer
Analyzes codebases to automatically discover, document, and audit coding standards, naming conventions, and patterns while detecting anti-patterns and security issues, generating evidence-based documentation to align standards with actual code practices.
increment-planner
Creates structured implementation plans for any type of software increment (features, hotfixes, bugs, etc.) by automatically generating numbered directories, templates, and preventing duplicates within user projects.
multi-project-spec-mapper
This skill intelligently analyzes user stories and automatically maps them to appropriate projects (FE, BE, MOBILE, INFRA) based on content and tech stack. It organizes specifications into project-specific folders and splits monolithic specs, streamlining management for multi-project setups like microservices or multi-team environments.
github-issue-standard
This skill enforces a mandatory, standardized format for all GitHub issues created by SpecWeave. It ensures issues have consistent titles with proper feature/user story links, checkable acceptance criteria and tasks, working GitHub URLs, and extracted priority metadata, improving traceability and workflow automation.
reflect
A self-improving AI memory system that learns from user corrections and successful patterns across sessions, storing knowledge in skill-specific MEMORY.md files to prevent repeated mistakes and enable continuous improvement.
service-connect
This skill automatically orchestrates connections to external services by intelligently selecting the optimal method from MCP servers, REST APIs, SDKs, or CLIs, ensuring reliable access to databases and cloud platforms while avoiding common connection issues.
github-issue-tracker
Enables fine-grained task tracking within GitHub issues by automatically creating checklists with time estimates, posting detailed completion comments with change logs and time tracking, and managing task assignments and blockers for collaborative development teams.
billing-automation
This skill automates billing systems for recurring payments, invoicing, and subscription management, handling tasks like dunning, proration, and tax calculation to streamline SaaS and subscription-based revenue operations.
detector
This skill detects SpecWeave projects and provides workflow documentation for its slash commands. It explains how to use commands like /inc, /do, and /progress to manage development increments with features like auto-resume, auto-close, and progress tracking.
ado-multi-project
This skill organizes specifications and splits tasks across multiple Azure DevOps projects by intelligently analyzing content to map increments to the correct project, supporting various organizational architectures like project-per-team and area-path-based setups.
increment-quality-judge-v2
This skill provides AI-powered quality assessment using the LLM-as-Judge pattern, evaluating specifications and plans across 7 dimensions including risk scoring to deliver PASS/CONCERNS/FAIL decisions with actionable recommendations.
ado-mapper
This skill enables bidirectional synchronization between SpecWeave increments and Azure DevOps work items, handling export, import, and conflict resolution while maintaining traceability between the two systems.
experiment-tracker
Organizes machine learning experiments by automatically configuring tracking tools (MLflow, Weights & Biases, or built-in) to log all runs within SpecWeave increments, ensuring reproducibility, team knowledge preservation, and easy experiment comparison.
jira-resource-validator
Automatically validates and creates missing Jira projects and boards, intelligently handling mixed ID/name configurations while updating .env files with correct IDs to ensure proper Jira integration setup.
cloud-pricing
This skill provides expert 2025 pricing data and comparisons for AWS, Azure, and GCP services, including compute, storage, databases, and serverless options, to help estimate costs, identify savings, and choose the most cost-effective cloud provider.
model-registry
Centralized model versioning and lifecycle management system that tracks ML models from development to production, enabling safe staging, rollback, and full lineage tracking integrated with SpecWeave's increment workflow.
architecture-alternatives
Expert in software architecture patterns and alternatives, helping teams make informed decisions on monoliths, microservices, serverless, and other approaches based on context, scale, and constraints.
db-designer
Automatically generates database schema from feature descriptions without showing SQL to users. Supports multiple frameworks (Supabase, PostgreSQL, Drizzle) and creates migrations and ORM models. Useful for projects needing data persistence.
claude
Imported from https://github.com/RchGrav/claudebox.
largest-eigenval
Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves performance optimization of matrix operations, beating numpy/scipy performance baselines, or writing high-performance numerical code with Cython/LAPACK.
object_counter
Count occurrences of an object in the image using computer vision algorithm.
badge-evaluation
Evaluate research artifacts against NDSS badge criteria (Available, Functional, Reproduced) by checking DOI, documentation, exercisability, and reproducibility requirements.
lomb-scargle-periodogram
Lomb-Scargle periodogram for finding periodic signals in unevenly sampled time series data. Use when analyzing light curves, radial velocity data, or any astronomical time series to detect periodic variations. Works for stellar rotation, pulsation, eclipsing binaries, and general periodic phenomena. Based on lightkurve library.
ac-branch-pi-model
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching `acopf-math-model.md` and MATPOWER branch fields. Use when computing branch flows in either direction, aggregating bus injections for nodal balance, checking MVA (rateA) limits, computing branch loading %, or debugging sign/units issues in AC power flow.