textum — claude code workflow textum, Textum, snakeying, community, claude code workflow, ai agent skill, ide skills, agent automation, uv installation setup, low noise ai processing, multi window workflow, validation gate implementation

v1.0.0
GitHub

About this Skill

Perfect for AI Agents needing structured content analysis with predictable and reliable processes, utilizing a controllable workflow with validation gates. textum is a workflow that stops AI from forgetting requirements, using 4 phases with validation gates and low-noise constraints.

Features

Enforces low-noise constraints to avoid attention/context pollution
Utilizes multi-window approach with self-contained stages
Supports uv installation and synchronization with `uv sync` command
Includes runtime prerequisite checks for `.claude/skills/textum/scripts`
Outputs next step as a stage name only
References specific stage documentation, such as `references/prd-plan.md`

# Core Topics

claude code workflow uv installation setup low noise ai processing multi window workflow validation gate implementation codex skill development
snakeying snakeying
[41]
[4]
Updated: 1/25/2026

↓ Quality Score

Top 5%
31
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add snakeying/Textum/textum
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

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. Optimized for claude code workflow, uv installation setup, low noise ai processing.

Ideal Agent Persona

Perfect for AI Agents needing structured content analysis with predictable and reliable processes, utilizing a controllable workflow with validation gates.

Core Value

Empowers agents to maintain low-noise environments and prevent context pollution through a multi-window approach, utilizing `uv` for runtime synchronization and providing output in stage names only, such as 'PRD Plan', 'PRD Check', and 'PRD Render'.

↓ Capabilities Granted for textum

Automating content analysis with a 4-phase workflow
Generating stage-specific outputs, such as 'references/prd-plan.md'
Validating AI processes through controllable gates

! Prerequisites & Limits

  • Requires `uv` installed
  • Needs `uv sync --project .claude/skills/textum/scripts` run once for setup
  • Low-noise environment is non-negotiable
  • Multi-window approach with self-contained stages
Project
SKILL.md
2.7 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8
SKILL.md
Readonly

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?

Perfect for AI Agents needing structured content analysis with predictable and reliable processes, utilizing a controllable workflow with validation gates. textum is a workflow that stops AI from forgetting requirements, using 4 phases with validation gates and low-noise constraints.

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 content analysis with a 4-phase workflow, Generating stage-specific outputs, such as 'references/prd-plan.md', Validating AI processes through controllable gates.

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` installed. Needs `uv sync --project .claude/skills/textum/scripts` run once for setup. Low-noise environment is non-negotiable. Multi-window approach with self-contained stages.

↓ 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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