Convert rough prompts into implementation-ready specs with lifecycle tracking.
npx skills add https://github.com/kent/spectacula --skill spectacula
Please help me install this Agent Skill. Skill: spectacula Source: https://github.com/kent/spectacula/tree/main Command: npx skills add https://github.com/kent/spectacula --skill spectacula
Spectacula provides a structured workflow to turn rough prompts into implementation-ready specifications and manage them through a lifecycle, enabling audit, upgrade, and implementation tracks for both Codex and Claude Code contexts.
bootstrap the docs/spectacula scaffold in a target repo, then create and steer a spec through the lifecycle using the provided scripts and manifests.
High-intent search queries and answers about installing and using this skill.
Turning rough prompts into implementation-ready specifications involves using repo context and reference examples to frame detailed specs. The workflow scaffolds a living docs directory and tracks the spec lifecycle from drafting to done.
You manage the specification lifecycle by moving specs through stages like ready, inprogress, and done using dedicated lifecycle commands. The workflow applies verification gates and an optional final vetting path to ensure implementation quality.
Yes, you can audit and upgrade existing specifications against a defined quality bar. The workflow evaluates current specs, upgrades them to meet standards, and preserves the original intent throughout the refinement process.
Yes, the specification workflow supports both Codex and Claude Code environments. It uses a plugin and agent ecosystem to integrate with both platforms, tracking spec lifecycles and maintaining resume context across environments.
The best way to scaffold a repository for specification tracking is using a bootstrap workflow. This creates a living docs structure with default templates, manifests, and scripts to support ongoing spec creation and lifecycle management.
Verification gates in a specification workflow enforce quality and completeness before a spec progresses to the next stage. They ensure specs meet defined standards and provide an optional final vetting path before implementation begins.
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