claude-prompts

Implements a Model Context Protocol (MCP) server that watches a local filesystem directory for prompt template changes and automatically reloads them without requiring server restart. Uses file system watchers (likely Node.js fs.watch or chokidar) to detect modifications and broadcasts updates to connected Claude clients, enabling real-time iteration on prompt engineering without deployment cycles.

Provides pre-built prompt templates that embed structured thinking frameworks (likely chain-of-thought, step-by-step reasoning, or multi-turn scaffolding patterns) into Claude prompts. Templates are composable and can be combined to create complex reasoning workflows. The server exposes these as MCP resources that Claude can reference and instantiate, abstracting away the complexity of manually constructing effective reasoning prompts.

Implements validation rules that check prompt templates against quality criteria before they are served to Claude clients. Validation likely includes checks for prompt length, token count estimation, presence of required sections (e.g., system role, examples), and potentially semantic checks (e.g., detecting conflicting instructions). Failed validations prevent invalid templates from being exposed via MCP, acting as a guardrail against degraded prompt quality.

Exposes prompt templates as standardized MCP resources that Claude clients can discover, list, and retrieve via the Model Context Protocol. Templates are registered with metadata (name, description, version, tags) and served through MCP's resource endpoints. This abstraction allows Claude to treat prompts as first-class resources alongside other MCP tools and data sources, enabling seamless integration into Claude's native workflows.

Supports parameterized prompt templates with variable placeholders that can be filled at runtime. Templates define parameters (e.g., {{domain}}, {{tone}}, {{max_tokens}}) that Claude or client applications can substitute with specific values. The server handles parameter validation, default value substitution, and template rendering, enabling a single template to be reused across different contexts without duplication.

Tracks template versions and allows clients to request specific versions of a template. The server maintains version history (likely in the filesystem or a simple version manifest) and can serve previous versions on demand. This enables safe template updates with the ability to rollback if a new version degrades performance, and allows A/B testing of prompt variants across different versions.

Associates metadata (tags, descriptions, categories, author, creation date) with each prompt template and exposes this metadata via MCP for discovery and filtering. Clients can query templates by tag, category, or keyword, enabling intelligent template selection and organization. Metadata is stored alongside templates (likely in YAML/JSON frontmatter or a separate manifest) and indexed for fast lookup.

Allows templates to reference and extend other templates, enabling code reuse and hierarchical template structures. A template can inherit from a base template and override specific sections, or compose multiple templates together. This is likely implemented via template includes or inheritance syntax (e.g., {{#include base}}, {{#extend parent}}), reducing duplication across similar templates.