productivity▌

Comprehensive rollout plan generator with preflight checks, phased deployment, verification signals, and rollback procedures. \n \n Generates structured plans covering executive summary, prerequisites, preflight validation, step-by-step deployment phases, and post-deployment tasks \n Includes immediate, short-term, medium-term, and long-term verification signals to confirm deployment success across multiple time windows \n Provides rollback decision criteria, automated revert procedures, and pos

Create structured, machine-readable implementation plans for features, refactoring, upgrades, and infrastructure changes. \n \n Generates deterministic, AI-executable plans with discrete phases, atomic tasks, and explicit completion criteria \n Enforces strict template compliance with standardized identifier prefixes (REQ-, TASK-, GOAL-, etc.) and machine-parseable formats \n Includes mandatory sections for requirements, implementation phases, dependencies, testing, risks, and alternatives \n Su

Generate original music from text prompts with customizable duration, genre, and mood control. \n \n Supports durations from 5 seconds to 10 minutes, enabling use cases from notification sounds to full cinematic scores \n Text prompts accept genre, mood, instrument, tempo, and style descriptors for fine-grained control over output \n Royalty-free music suitable for commercial use in videos, podcasts, games, ads, and presentations \n Integrates with ElevenLabs TTS and sound effects skills for com

Use when:

template-skill

Purpose: Enable multiple Claude Code sessions across a team to coordinate and work together without conflicts. Manages shared state, todo claiming, decision syncing, and session awareness.

Plugins can store user-configurable settings and state in .claude/plugin-name.local.md files within the project directory. This pattern uses YAML frontmatter for structured configuration and markdown content for prompts or additional context.

Evaluate code review feedback with technical rigor before implementing, avoiding performative agreement and blind implementation. \n \n Verify feedback against actual codebase behavior, test coverage, and architectural context before proceeding \n Ask for clarification on unclear items before implementing anything; partial understanding leads to wrong fixes \n Push back on suggestions that break functionality, lack context, violate YAGNI, or conflict with established decisions using technical re

Web search and content extraction via Tavily and Exa APIs through inference.sh CLI. \n \n Five search and extraction apps: Tavily Search Assistant (AI-powered answers with sources), Tavily Extract (multi-URL content extraction), Exa Search (smart web search), Exa Answer (direct factual responses), and Exa Extract (web page analysis) \n Designed for research workflows, RAG pipelines, fact-checking, and content aggregation with LLM integration examples \n Requires inference.sh CLI ( infsh ) instal

Generate structured, AI-optimized specification documents with standardized templates and machine-readable formatting. \n \n Creates specification files in /spec/ directory following naming convention spec-[purpose]-[type].md with YAML front matter for metadata \n Enforces structured markdown with 11 standard sections covering purpose, requirements, interfaces, acceptance criteria, and validation \n Includes explicit guidelines for unambiguous language, acronym definitions, and self-contained do