split-specs

A specification-organizing tool that converts one large product-specification file into a directory of smaller files. A product specification describes a product’s planned features and behavior.

In plain words
What is it for?
Use it when a single PRD has grown beyond the stated size or feature thresholds, or when you want to split it manually.
Why use it?
Smaller files make large specifications easier to organize and let an agent load only the relevant parts.

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/etr/groundwork/split-specs
Any agent
npx skills add etr/groundwork --skill split-specs
Clone the repo
git clone --depth 1 https://github.com/etr/groundwork

Made for: Claude Code, Codex.

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,380 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 $0.00025 $0.01380
Opus 5 $0.00013 $0.00690
Sonnet 5 $0.00005 $0.00276
Haiku 4.5 $0.00003 $0.00138

Measured yesterday against content hash 02194cf9c4a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

split-specs 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/split-specs/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Split Specifications Skill

Converts a single-file product spec ({{specs_dir}}/product_specs.md) into a directory-based format ({{specs_dir}}/product_specs/) for better organization and targeted context loading.

When to Use

  • Automatically by design-product and source-product-specs-from-code when the single-file PRD crosses 500 lines or 15 features (feature sections matching ### \d+\.\d+)
  • Manually when the user invokes /groundwork:split-specs

Step 0: Resolve Project Context

  1. Monorepo check: Does .groundwork.yml exist at the repo root?
    • If yes → Is {{project_name}} non-empty?
      • If empty → Invoke Skill(skill="groundwork:select-project") to select a project, then restart this skill.
      • If set → Project is {{project_name}}, specs at {{specs_dir}}/.
    • If no → Continue (single-project repo).
  2. Proceed with the resolved project context.

Step 1: Validate Preconditions

  1. Check single file exists: {{specs_dir}}/product_specs.md must exist
    • If missing → output "No single-file PRD found at {{specs_dir}}/product_specs.md. Nothing to split." and stop.
  2. Check directory does NOT exist: {{specs_dir}}/product_specs/ must not already exist
    • If it exists → output "PRD is already in directory format at {{specs_dir}}/product_specs/. Nothing to do." and stop.
  3. Read the file and count lines and features (sections matching ^### \d+\.\d+).

Step 2: Split the File

Parse the single-file PRD into sections and write each to its own file under {{specs_dir}}/product_specs/.

Directory Structure

{{specs_dir}}/product_specs/
├── _index.md              # Header, metadata, and section 0 (EARS cheat sheet)
├── 01-product-context.md  # Section 1: Product context
├── 02-non-functional.md   # Section 2: Non-functional & cross-cutting requirements
├── 03-features/           # Section 3: One file per feature
│   ├── _index.md          # Section 3 header ("## 3) Feature list (living backlog)")
│   └── <feature-code>.md  # e.g., PRD-SRCH.md, PRD-AUTH.md
├── 04-traceability.md     # Section 4: Traceability
└── 05-open-questions.md   # Section 5: Open questions log

Read the full file on GitHub · 109 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 · 109 lines · 25 tokens per session scan A 02194cf9c4a6

Subscribe to this mod's changes

split-specs is a skill published in the GitHub repository etr/groundwork (42 stars, last pushed 20d ago), licensed MIT. It adds 25 tokens to every session and 1,380 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens