claudecodex

spec-driven-develop

Three complementary AI agent skills: (1) Spec-Driven Develop — automates full development workflow for large-scale complex tasks: project analysis, task decomposition, project governance, progress tracking, and execution; (2) Deep Discuss — structured deep discussion for problem analysis, brainstorming, and solution design; (3) Review SPD — findings-first code review for uncommitted changes, date-range commits, and branch/PR diffs.

993 on GitHubby zhu1090093659v1.15.0MITupdated 3 months agoProductivity
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Plugin spec-driven-develop from marketplace spec-driven-develop in zhu1090093659/spec_driven_develop. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (3)

  • deep-discuss

    结构化深度讨论 Skill，用于与用户进行多轮问题分析和方案设计。当用户描述一个问题现象、故障表现、 技术困惑、方案选择困难，或明确说"讨论一下"、"帮我分析"、"我遇到一个问题"、"你觉得怎么样"、 "帮我想想"、"我在纠结"时，必须使用本 skill。当用户提供了一段描述（可能附带截图）并期望深入分析 而非直接给答案时，也应触发本 skill。即使用户只是抛出一个现象描述没有明确提问，也要使用本 skill 来引导结构化思考。不要在简单的事实查询（"X是什么"）或明确的执行指令（"帮我写个脚本"）上触发。

  • review-spd

    Findings-first code review workflow for AI coding agents. Use when the user asks to review uncommitted changes, commits in a date range, or a branch compared to the main branch / PR-style diff. Focuses on bugs, regressions, correctness risks, missing tests, security/data-safety issues, and other beh

  • spec-driven-develop

    Automates pre-development workflow for large-scale complex tasks. Use when the user mentions "rewrite", "migrate", "overhaul", "refactor entire project", "transform", "rebuild in [language]", "spec-driven", or describes any large-scale project transformation that requires planning before coding. Als

Subagents (4)

  • code-reviewer

    Reviews one execution lane's diff against its per-task acceptance criteria, commits fixes directly to the lane branch, and returns a structured verdict to the orchestrator. Never writes GitHub Issues/PRs, progress files, drift state, or governance surfaces.

  • project-analyzer

    Performs deep codebase analysis for the Spec-Driven Develop workflow. Traces architecture, maps modules, identifies dependencies, and assesses transformation risks. Returns structured analysis data for document generation.

  • task-architect

    Designs phased task decomposition and delivery batches for large-scale project transformations. Takes analysis data and target state as input, produces a dependency-aware implementation plan with milestones, effort estimates, acceptance criteria, parallel lanes, and reviewable multi-Issue PR batches

  • task-executor

    Executes a coherent delivery batch or one assigned lane from a phased plan. Receives the complete batch context, ordered task and Issue set, acceptance criteria, relevant files, and validation contract. Implements and commits the work, but leaves integration state, cumulative telemetry, and the sing

View source on GitHub

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