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SPECTRE

SPECTRE

An agentic coding workflow for product builders

Overview

What it is

SPECTRE is an agentic Coding Workflow - /Scope, /Plan, /Execute, /Clean, /Test, /Rebase, /Evaluate - that uses simply step by step product development workflow to generate high quality results from your AI Coding Agents. - Codename-Inc/spectre

Intent

I need it when

Accelerate feature shipping while maintaining code quality and reducing rework cycles

SPECTRE enables 10-100x output acceleration by combining rapid waterfall (specificity upfront) with iterative refinement, allowing developers to reach working code faster and iterate on features rather than debugging ambiguous implementations.

Maintain project context and continuity across multiple AI coding agent sessions

SPECTRE's /spectre:handoff command preserves session state and work threads in managed documentation blocks, enabling agents to resume work with full context awareness and reducing the need for manual context re-entry between sessions.

Establish a repeatable, scalable development workflow that works across projects of any size

SPECTRE delivers a single unified workflow that adapts to brand-new codebases and large existing projects (tested on 250k+ line codebases), eliminating the need to switch processes between small and large features while maintaining engineering rigor.

Reduce ambiguity and improve code quality when using AI coding agents for feature development

SPECTRE provides a structured slash-command workflow (Scope → Plan → Execute → Clean → Test → Rebase → Evaluate) that generates canonical documentation and reduces ambiguity upfront, enabling AI agents to produce higher-quality, more consistent code with longer autonomous execution periods.

Generate and organize technical specifications and task documentation automatically during development

SPECTRE automatically creates canonical docs (scope.md, ux.md, plan.md, tasks.md, code_review.md, skills) stored in docs/tasks/{topic}/specs, providing a structured knowledge base that agents can reference and teams can use for future iterations.

Drop

Not a fit when

  • User needs a commercial SaaS product with dedicated support and service level agreements
  • User requires a no-code workflow tool without CLI or command-line interface experience
  • User is working with non-Claude AI coding agents or LLMs not compatible with Claude Code
  • User needs real-time collaborative editing across distributed teams without local setup
  • User requires pre-built integrations with project management tools like Jira or Asana
Commercials

Pricing

Free, open-source software