textum — community textum, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Ideal for Code Generation Agents requiring structured content analysis and controllable workflows. Structured workflow that stops AI from forgetting your requirements. 4 phases with validation gates. Not smarter AI, just controllable process. Weave ideas into code that actually works.

snakeying snakeying
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The textum skill by snakeying is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Ideal for Code Generation Agents requiring structured content analysis and controllable workflows.

Core Value

Empowers agents to manage complex projects through a 4-phase validation process, utilizing a low-noise approach and self-contained multi-window stages, while integrating with uv and Python scripts.

↓ Capabilities Granted for textum

Automating PRD planning with structured workflows
Validating project requirements through gated validation
Rendering project details into actionable code

! Prerequisites & Limits

  • Requires uv installation
  • Needs initial synchronization with uv sync --project .claude/skills/textum/scripts
  • Limited to supported stages: PRD Plan, PRD Check, PRD Render
Labs Demo

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Boot Container Sandbox

textum

Install textum, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Textum

Hard constraints:

  • Low-noise is non-negotiable (avoid attention/context pollution).
  • Multi-window: each stage is self-contained; do not narrate upstream/downstream flow.
  • Output “next step” as a stage name only.

Prereq (runtime):

  • uv installed.
  • Run uv sync --project .claude/skills/textum/scripts once (creates .claude/skills/textum/scripts/.venv).

Supported stages:

  • PRD Plan → references/prd-plan.md
  • PRD Check → references/prd-check.md
  • PRD Render → references/prd-render.md
  • PRD Slice → references/prd-slice.md
  • Scaffold Plan → references/scaffold-plan.md
  • Scaffold Render → references/scaffold.md
  • Scaffold Check → references/scaffold-check.md
  • Split Plan → references/split-plan.md
  • Split Generate → references/split.md
  • Split Check1 → references/split-check1.md
  • Split Check2 → references/split-check2.md
  • Split Checkout → references/split-checkout.md
  • Story Check → references/story-check.md
  • Story Pack → references/story-pack.md
  • Story Exec → references/story.md
  • Story Full Exec (experimental) → references/story-full-exec.md

Routing:

  • CN intent examples:
    • PRD Plan: 需求澄清 / 澄清需求 / PRD 计划
    • PRD Render: 生成PRD / 渲染PRD / 输出PRD
    • PRD Check: 校验PRD / 检查PRD / 门禁
    • PRD Slice: PRD 切片 / 切片 / 低噪切片 / slice
    • Scaffold Plan: 上下文提取 / 全局上下文 / Scaffold 计划
    • Scaffold Render: 生成GLOBAL-CONTEXT / 渲染GLOBAL-CONTEXT / 输出GLOBAL-CONTEXT
    • Scaffold Check: 校验GLOBAL-CONTEXT / 检查GLOBAL-CONTEXT / GC 门禁
    • Split Plan: Story 拆分规划 / Split Plan / 拆分计划
    • Split Generate: 生成Story / Split Generate / 拆分生成
    • Split Check1: Split 校验1 / 拆分校验1 / 结构阈值校验
    • Split Check2: Split 校验2 / 拆分校验2 / 引用一致性校验
    • Split Checkout: Split Checkout / 依赖图 / 导出依赖图
    • Story Check: Story 校验 / Story Check / 单 Story 门禁
    • Story Pack: Story 执行包生成 / Story Pack / 生成执行包
    • Story Exec: Story 执行 / Story Exec / 单 Story 执行
    • Story Full Exec: Story 批量执行 / Story Full Exec / 试验性全执行
  • If intent is unclear, ask the user to pick one: PRD Plan / PRD Check / PRD Render / PRD Slice / Scaffold Plan / Scaffold Render / Scaffold Check / Split Plan / Split Generate / Split Check1 / Split Check2 / Split Checkout / Story Check / Story Pack / Story Exec / Story Full Exec.

Always:

  • For every FAIL item (in diagnostics/replan packs): include loc/problem/expected/impact/fix, and fix must be a single action.
  • Keep chat output low-noise: prefer paths (wrote: docs/*) over pasting long FAIL lists.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is textum?

Ideal for Code Generation Agents requiring structured content analysis and controllable workflows. Structured workflow that stops AI from forgetting your requirements. 4 phases with validation gates. Not smarter AI, just controllable process. Weave ideas into code that actually works.

How do I install textum?

Run the command: npx killer-skills add snakeying/Textum/textum. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for textum?

Key use cases include: Automating PRD planning with structured workflows, Validating project requirements through gated validation, Rendering project details into actionable code.

Which IDEs are compatible with textum?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for textum?

Requires uv installation. Needs initial synchronization with uv sync --project .claude/skills/textum/scripts. Limited to supported stages: PRD Plan, PRD Check, PRD Render.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add snakeying/Textum/textum. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use textum immediately in the current project.

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