draft

A workflow for turning a software request into a complete proposal, specifications, design, and implementation task list.

In plain words
What is it for?
Planning a new feature or change, recording project context, and preparing work for implementation.
Why use it?
It helps clarify what should be built before coding begins and keeps the required planning documents together.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/devnomad-byte/techneering/draft
Any agent
npx skills add devnomad-byte/techneering --skill draft
Clone the repo
git clone --depth 1 https://github.com/devnomad-byte/techneering

Made for: Claude Code, Codex.

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,952 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00043 $0.01952
Opus 5 $0.00022 $0.00976
Sonnet 5 $0.00009 $0.00390
Haiku 4.5 $0.00004 $0.00195

Measured yesterday against content hash c62cc40ab7a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

draft scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/draft/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Draft a Change

Create a complete Techneering change — generate all specification artifacts in one step. Read project context and spark conclusions (if any), then produce: proposal → specs → design → tasks.

Core Principle

UNDERSTAND BEFORE BUILDING.
Do NOT proceed without understanding what the user wants to build.

Steps

Step 1: Understand the Request

If the user's request is unclear, ask what they want to build. Derive a kebab-case name (e.g., "add user authentication" → add-user-auth).

If spark conclusions exist in the conversation, read them as input.

Step 2: Initialize Project Workspace (First Time Only)

Check if techneering/ directory exists at the project root. If not, create:

techneering/
  ├── config.yaml        # project context and rules
  ├── specs/             # main specification docs
  ├── changes/           # active changes
  └── archive/           # archived changes

Generate config.yaml:

schema: spec-driven

context: |
  # TODO: fill in project context (tech stack, framework, database, deployment environment, etc.)

coding_conventions:
  naming:
    files: ""              # kebab-case / PascalCase / camelCase / snake_case
    classes: ""            # PascalCase (Java/TS class) / snake_case (Ruby/Python)
    functions: ""          # camelCase / snake_case / PascalCase
    constants: ""          # UPPER_SNAKE / camelCase / PascalCase
    variables: ""          # camelCase / snake_case
  structure:
    pattern: ""            # feature-based / layered / mvc / modular / monorepo / hexagonal
    source_dir: ""         # src/ / lib/ / app/ / internal/
    test_dir: ""           # tests/ / __tests__/ / test/ / src/test/
  patterns:
    error_handling: ""     # exceptions / Result type / error codes / try-catch
    dependency_injection: "" # constructor / annotations / manual / module system
    api_style: ""          # REST / GraphQL / gRPC / message-queue
    data_access: ""        # ORM / query-builder / raw-sql / repository-pattern
    imports: ""            # alias / relative / absolute / package-based
  formatting:
    indent: ""             # 2 spaces / 4 spaces / tab
    quotes: ""             # single / double
    semicolons: ""         # true / false
    trailing_comma: ""     # es5 / all / none
    max_line_length: ""    # 80 / 100 / 120 / none

quality_standards:
  # standard sources (stackable, ordered by priority)
  sources:
    - ""                   # primary standard source (see options table below)

  # custom rules (override or supplement the sources)
  custom_rules: []

  # review severity level
  severity: "strict"       # strict (Critical must fix) / normal (Important should fix) / relaxed (inform only)

rules:
  proposal: []
  specs: []
  design: []
  tasks: []

Read the full file on GitHub · 210 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 210 lines · 43 tokens per session scan A c62cc40ab7a9

Subscribe to this mod's changes

draft is a skill published in the GitHub repository devnomad-byte/techneering (13 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 1,952 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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