Coordinate team-based feature development tasks with review and approval steps.
npx skills add https://github.com/langware-labs/flowpad --skill dev-langware-labs
Please help me install this Agent Skill. Skill: dev Source: https://github.com/langware-labs/flowpad/tree/main/.claude/skills/dev Command: npx skills add https://github.com/langware-labs/flowpad --skill dev-langware-labs
This Skill facilitates collaborative feature planning, design, and implementation management for development teams, reducing coordination overhead.
Use the dev skill to start a feature planning process for the new chat module.
High-intent search queries and answers about installing and using this skill.
Feature planning coordination is handled by creating and managing developer agents, enabling structured collaboration from initial design through implementation with built-in review and approval steps.
Managing development workflows involves initiating a feature plan, reviewing subcomponents, assigning implementation tasks to agents, and tracking progress centrally until all validations are complete.
Yes, team orchestration includes validating submodules and tracking progress centrally to ensure all validations are complete before deployment.
You structure implementation tasks by initiating a dedicated feature plan, reviewing subcomponents, and assigning specific implementation tasks to developer agents.
Yes, the feature development workflow includes built-in review and approval steps to coordinate team-based tasks from planning through validation.
Agent coordination focuses on structured, team-based feature development tasks; it requires defined plans and subcomponents to function effectively and may not suit unstructured or ad-hoc coding tasks.
thesaifalitaiDefine feature specifications with EARS-format requirements and Given/When/Then acceptance criteria.
SjdjdiejdrirhdkjejPromote validated staging builds to production with semantic versioning and health checks.
chiruu12Automate software deployment with Git branch management, testing, and pull requests.
CodingHeaderCoordinate LLM agents to work in parallel on independent software-engineering tasks, aggregating their results and monitoring progress along the way.
