Parametric_Forge

Creates and configures Claude Code hooks for lifecycle automation. Use when implementing PreToolUse validation, PostToolUse formatting, PermissionRequest auto-approve, custom notifications, session management, or deterministic agent control.

Creates and configures Claude Code agent files (.claude/agents/*.md) with YAML frontmatter, tool permissions, model selection, and system prompt structure. Use when building new agents, configuring agent frontmatter, designing discovery triggers, setting tool permissions, writing system prompts, or selecting agent models.

Creates and configures Claude Code slash commands with YAML frontmatter, argument handling, and tool permissions. Use when building new commands, adding $ARGUMENTS or $1-$N parameters, configuring allowed-tools, organizing command namespaces, or fixing command failures.

Queries Context7 library documentation via unified Python CLI. Use when resolving library IDs, fetching API references, code examples, or conceptual guides for any programming library or framework.

Orchestrates two-round parallel agent research for comprehensive topic exploration. Use when conducting research, exploring complex topics, gathering multi-faceted information, or synthesizing findings from parallel investigation streams.

Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /research or deep-research, or (4) preparing input for /plan phase.

Executes Exa AI search queries via unified Python CLI. Use when searching the web for current information, finding code examples, researching APIs, SDKs, or retrieving programming context for any library or framework.

Executes GitHub operations via gh CLI wrapper. Use when managing issues, pull requests, workflows, CI runs, projects, releases, cache, labels, or searching repositories and code.

Executes Hostinger API operations via Python wrapper. Use when managing VPS instances, Docker Compose projects, DNS records, domains, firewalls, SSH keys, snapshots, backups, billing, hosting, or WHOIS profiles.

Creates Mermaid v11+ diagrams with ELK layout and YAML frontmatter. Covers 22 diagram types: flowchart, mindmap, block, sequence, journey, state, ER, class, requirement, pie, quadrant, sankey, xy, radar, gantt, treemap, C4, architecture, packet, timeline, gitgraph, kanban. Use when visualizing: logic flow, interactions, state machines, data models, charts, system architecture, or any diagram requiring theming, classDef styling, or accessibility.

Generates valid n8n workflow JSON with nodes, connections, settings, credentials. Use when creating workflow automations programmatically, scaffolding AI agent workflows with LangChain nodes, or converting requirements into n8n JSON.

Queries Nx workspace metadata, project configurations, affected detection, generator schemas, and dependency graphs via unified Python CLI. Use when analyzing monorepo structure, inspecting project.json configurations, determining affected projects for CI optimization, discovering available generators, or visualizing workspace dependencies.

Creates structured output formats (JSON, YAML, Markdown-KV, XML) and response style configurations for Claude. Use when: (1) defining agent output schemas (.json, .yaml, .xml), (2) configuring response style scope hierarchy, (3) embedding formats in agents/commands, (4) building CLAUDE.md output sections, (5) creating format definitions in .claude/styles/, or (6) standardizing structured data serialization.

Orchestrates concurrent workstreams via Task tool for non-trivial requests. Decomposes complex tasks into 3-10 parallel agents with independent scopes and synthesizes results. Use when requests involve: (1) multiple investigative paths or validation layers, (2) research, analysis, or debugging exceeding trivial scope, (3) implementation planning requiring facet exploration, or (4) any moderate+ complexity task benefiting from parallel execution.

Executes Perplexity AI queries via unified Python CLI. Use when conducting web research, asking questions with citations, deep research tasks, reasoning problems, or searching for up-to-date information.

Extracts work units from plan artifacts and creates sequenced GitHub issues. Use when (1) decomposing plan.md into actionable issues, (2) creating issues with validation checklists, (3) linking issue dependencies, or (4) executing after /plan command completion.

Creates and edits Claude Code skills with YAML frontmatter, folder structure, and depth-scaled content. Use when building new skills, updating existing skills, designing SKILL.md metadata, organizing skill folders, validating skill structure, or adding Python and TypeScript scripts for deterministic operations.

Executes SonarCloud API queries via unified Python CLI. Use when checking quality gate status, searching issues (bugs, vulnerabilities, code smells), retrieving metrics (coverage, complexity), or viewing analysis history.

Enforces style consistency for documentation and code with support for taxonomy, voice, and formatting domains. Use when creating or modifying files requiring: (1) markdown structure (headers, lists, tables, Dictums, separators), (2) code organization (comments, section dividers, naming conventions), (3) voice compliance (tone, grammar, imperative phrasing), or (4) formatting validation against project standards.

Executes Tavily AI web operations via unified Python CLI. Use when searching the web, extracting content from URLs, crawling websites, or mapping site structure.

Enforces functional TypeScript patterns with Effect ecosystem. Use when (1) writing TypeScript functions or modules, (2) defining types or schemas, (3) handling errors or async operations, (4) structuring files with section separators, or (5) creating factories, dispatch tables, or Effect pipelines.