technical-specification

technical-specification is a skill for Claude Code from jpoutrin/product-forge. It costs 42 tokens per session (1,413 once invoked), scanned A, original, MIT.

A writing guide for technical specifications: documents that explain how an already-chosen software solution should be built. It covers items such as APIs, database structures, integrations, and component designs.

In plain words
What is it for?
Use it to write API contracts, database schemas, integration plans, component architecture notes, and implementation guides.
Why use it?
It helps developers record implementation details without mixing them up with an RFC, which is a document used to compare options and make a decision. This gives implementers a clearer reference after the approach is settled.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the devops-data plugin — 17 skills, 4 agents shipped together

Good fit Use it to write API contracts, database schemas, integration plans, component architecture notes, and implementation guides.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jpoutrin/product-forge/technical-specification
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.

Any agent
npx skills add jpoutrin/product-forge --skill technical-specification
Clone the repo
git clone --depth 1 https://github.com/jpoutrin/product-forge

Made for: Claude Code.

Or install devops-data, the plugin that ships this one along with the rest of its 17 skills, 4 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for technical-specification

README.md
[![agentmods](https://agentmods.dev/badge/skills/jpoutrin/product-forge/technical-specification/github.svg)](https://agentmods.dev/skills/jpoutrin/product-forge/technical-specification)
Your own site
<a href="https://agentmods.dev/skills/jpoutrin/product-forge/technical-specification"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/technical-specification/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for technical-specification

Your own site · 80×15
<a href="https://agentmods.dev/skills/jpoutrin/product-forge/technical-specification"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/technical-specification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,413 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00042 $0.01413
Opus 5.5 $0.00017 $0.00565
Sonnet 5.5 $0.00008 $0.00283
Haiku 4.5 $0.00004 $0.00141

Measured 1mo ago against content hash 97d92bde2448, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

technical-specification 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 1mo ago.

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.

plugins/devops-data/skills/technical-specification/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technical Specification Skill

This skill automatically activates when documenting implementation details for a solution. Unlike RFC (which evaluates options), Tech Specs document how to build something when the approach is already decided.

When This Skill Activates

  • Documenting implementation approach after RFC approval
  • Writing API specifications and contracts
  • Defining database schemas and data models
  • Creating system integration specifications
  • Documenting component architecture details
  • Writing implementation guides for developers

RFC vs Tech Spec

Aspect RFC Tech Spec
Purpose Evaluate options, make decision Document implementation details
Options Analysis Required (min 2) Not applicable
When Used Before decision After decision (or when no decision needed)
Audience Decision makers, stakeholders Implementers, developers
Lifecycle DRAFT → REVIEW → APPROVED → COMPLETED DRAFT → APPROVED → REFERENCE

When to Use Tech Spec (Not RFC)

Use Tech Spec when:

  • Decision is already made (via RFC or otherwise)
  • Only one viable implementation approach exists
  • Documenting API contracts or schemas
  • Writing integration specifications
  • Creating implementation guides

Use RFC instead when:

  • Multiple viable options exist
  • Stakeholder buy-in needed
  • Decision has cross-team impact
  • Choice is costly to reverse

Tech Spec Document Structure

Required Sections

  1. Header Metadata

    ---
    tech_spec_id: TS-XXXX
    title: [Component/Feature Name]
    status: DRAFT | APPROVED | REFERENCE | ARCHIVED
    decision_ref: RFC-XXXX  # Optional - link to RFC if one exists
    author: [Name]
    created: YYYY-MM-DD
    last_updated: YYYY-MM-DD
    ---
    
  2. Executive Summary (1 paragraph)

    • What is being built
    • Why this approach (brief, reference RFC if applicable)
    • Key design decisions
  3. Design Overview

    • High-level architecture
    • Component relationships
    • Data flow description

Read the full file on GitHub · 242 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 242 lines · 42 tokens per session scan A 97d92bde2448

Subscribe to this mod's changes

technical-specification is a skill published in the GitHub repository jpoutrin/product-forge (16 stars, last pushed 7mo ago), licensed MIT. It adds 42 tokens to every session and 1,413 once invoked, about $0.0002 per session on Opus 5.5. 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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