specstory-organize
Automatically organize your SpecStory AI coding session history into a structured YYYY/MM directory hierarchy to improve file management and archiving.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
534 skills found
Automatically organize your SpecStory AI coding session history into a structured YYYY/MM directory hierarchy to improve file management and archiving.
Scaffold and build interactive MCP Apps with custom UIs for hosts like Claude Desktop. Supports React, Vanilla JS, and various framework templates for tool-resource integration.
Implement Linkerd service mesh patterns for security, traffic policy management, and zero-trust networking in Kubernetes environments.
A unified document processing gateway for PDF parsing, text extraction, conversion, and document manipulation across multiple local and cloud providers.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
Executes a rigorous, multi-phase Fagan Inspection to systematically resolve persistent, stubborn bugs and complex code interactions.
Official n8n workflow automation support for building, debugging, and scaling complex business processes and AI-powered integrations.
Comprehensive reference for GrepAI configuration, detailing the .grepai/config.yaml schema, embedder settings, storage backends, and optimization parameters.
AI-powered tax advisor providing expert guidance on 2025 Japanese tax regulations, deductions, and financial planning for freelancers and employees.
Framework for high-performance computational fluid dynamics (CFD) simulations, supporting Navier-Stokes, shallow water, and stratified flows using pseudospectral methods and MPI parallelization.
A toolkit for building robust LLM integrations: API patterns, streaming, function calling, RAG pipelines, and cost-effective model routing.