Transform natural-language product ideas into SDD documentation artifacts.
npx skills add https://github.com/ricardops34/rcg-crm --skill reversa-new
Please help me install this Agent Skill. Skill: reversa-new Source: https://github.com/ricardops34/rcg-crm/tree/main/.agents/skills/reversa-new Command: npx skills add https://github.com/ricardops34/rcg-crm --skill reversa-new
It turns a product idea described in natural language into structured SDD specifications, so the forward cycle can start without guesswork.
.reversa/state.json to detect in-progress stages, continue safely, or recreate from selected agents with explicit confirmation..reversa/ and _reversa_sdd/, and never auto-advances between stages without the user’s CONTINUAR.Run the command /reversa-new and describe your product idea so the skill can generate ideation.md, personas.md, prd.md, and sdd/*.md inside _reversa_sdd/.
High-intent search queries and answers about installing and using this skill.
To generate a PRD and SDD from a natural language product idea, you can use a multi-stage agent pipeline that transforms text descriptions into structured ideation, personas, and component-level documentation artifacts.
Planning greenfield software development from scratch is best handled by a fixed multi-stage pipeline that sequentially produces ideation, personas, a PRD, and component-level SDD files, ensuring the forward development cycle begins without guesswork.
Orchestrating multi-agent pipelines for product specification reconstruction involves using stateful stage tracking with a state JSON file, requiring explicit user confirmation to advance between stages and safely recreate artifacts from selected agents.
Yes, you can control agent re-execution and resume progress in a greenfield planning workflow by reading and updating a state JSON file, allowing you to detect in-progress stages, continue safely, or recreate documentation from selected agents with explicit confirmation.
Yes, you need YAML frontmatter to activate the product specification generation pipeline, as the process relies on YAML-frontmatter-driven activation to initialize the deterministic artifact output and stateful tracking for the forward development cycle.
Limitations of automated SDD artifact generation pipelines include strict write restrictions to specific directories and an inability to auto-advance between stages, requiring explicit user confirmation before progressing through the fixed multi-agent flow.
Pabloprogramador23Orchestrate greenfield project planning from idea to structured specs.
stribusDecompose PRDs into component-level SDD specs with automated scoring.
nomad3Automates multi-step tasks with approval checkpoints and resumable JSON output.
tgmarinhoConvert conversation content into a Product Requirements Document and publish it to an issue tracker.