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Architectural Specification

CommunityPopular
mohitagw15856
architectural-specification

Write a specification section that a contractor can price accurately and a site can build from — performance stated, products defined, workmanship and tolerances given, and the coordination with the drawings made explicit. Use when asked to write a specification, spec a material or system, prepare an NBS-style section, or when a specification produced wildly different tender prices. Produces the scope and interface definition, the performance requirements, the product or system definition, execution and tolerance requirements, and the submittals and testing schedule.

Overview

Publishermohitagw15856
Repositorypm-claude-skills
Skill namearchitectural-specification
Stars
1.4K
Forks
240
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mohitagw15856 on GitHub. Read the source before you install it.

Installation

Install the Architectural Specification AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git /tmp/pm-claude-skills
mkdir -p .claude/skills
cp -r /tmp/pm-claude-skills/exports/openclaw/architectural-specification .claude/skills/architectural-specification
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Architectural Specification in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Architectural Specification on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Architectural Specification is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Architectural Specification Section

Wide tender prices are almost always a specification problem: three contractors read the same section and priced three different buildings. The cure is not more words. It is being precise about performance, unambiguous about who does what at the interfaces, and explicit about what must be submitted and tested — so the cheap tender and the expensive one are pricing the same thing.

What This Skill Produces

  • Scope and interfaces — what this section covers, what it does not, and who is responsible at each junction
  • Performance requirements — measurable criteria with the standard and test method named
  • Product or system definition — either a named product with an equivalence rule, or a performance description a contractor can propose against
  • Execution requirements — preparation, sequence, workmanship, and stated tolerances
  • Submittals and samples — what must be approved before order, and before installation
  • Testing and inspection — what is tested, when, to what standard, and who witnesses

Required Inputs

Ask for these if not provided:

  • The element — what is being specified, and where it occurs in the building
  • The performance it must achieve — structural, thermal, acoustic, fire, weather, durability, or appearance
  • The selection basis — whether a specific product is intended, or a performance outcome is being sought
  • The interfaces — what this element meets, and which other trades are involved
  • The procurement context — the contract form, the specification system in use, and whether equivalents are permitted

Framework: Performance, Product, Execution, Proof

  1. Define scope by exclusion as well as inclusion. Most interface defects live in the gap between two sections that each assumed the other covered the junction.
  2. State performance as a measurable with a test method. 'Weathertight' is not specifiable; a pressure test to a named standard is.
  3. Choose your specification mode deliberately. Prescriptive names a product and gets what you drew. Performance describes an outcome and transfers design risk. Mixing them accidentally is how you get an unpriceable section.
  4. If naming a product, state the equivalence rule. What 'or equal approved' means, who approves, what evidence is required, and by when.
  5. Give tolerances. Unspecified tolerance becomes whatever was achieved, and the argument happens on site with the work already built.
  6. Specify the proof. Submittals before order, samples before installation, tests during. An unproved requirement is an aspiration.
  7. Coordinate with the drawings explicitly. Where the two could conflict, say which governs.

Output Format

Specification: [section] · [project] · [revision]

1. GENERAL 1.1 Scope — this section covers: [list] · Not covered by this section: [list, with the section that does] 1.2 Interfaces — [element] meets [element] at [location]; responsibility: [which section/trade] 1.3 Related sections — [refs] 1.4 Precedence — where this specification and the drawings conflict, [which governs]

2. PERFORMANCE

RequirementCriterionStandardTest method
[e.g. thermal][U-value][standard ref][method]

3. PRODUCTS

  • Mode: ☐ Prescriptive ☐ Performance ☐ Prescriptive with equivalents
  • Specified: [product, manufacturer, reference] or [performance description]
  • Equivalence: proposals accepted until [date]; must demonstrate [criteria]; approved by [who]; evidence required [what]

4. EXECUTION 4.1 Preparation — [substrate condition, tolerances required before starting] 4.2 Installation — [sequence, method, restrictions, weather limits] 4.3 Workmanship — [standard of finish, jointing, fixing] 4.4 Tolerances — [dimension: permitted deviation], each stated

5. SUBMITTALS & TESTING

ItemTypeBeforeApproved by
[shop drawings / sample / certificate / test result][order / installation / handover]

A drafting framework only. Standards, test methods, statutory requirements and product certification must be taken from current published sources and verified as applicable to your jurisdiction and contract. Fire, structural and life-safety specification requires the relevant qualified designer.

Quality Checks

  • Scope states what is excluded and which section covers it
  • Every performance requirement has a criterion, a standard, and a test method
  • The specification mode is deliberate and consistent within the section
  • The equivalence rule states the evidence, the approver, and the deadline
  • Tolerances are given for every dimension that matters
  • Submittals distinguish what is needed before order from before installation
  • Precedence between specification and drawings is stated

Anti-Patterns

  • 'Or equal approved' with no rule. Guarantees a dispute at tender and again at submittal.
  • Unmeasurable performance. 'Robust', 'high quality', 'to a good standard' — none of these can be priced or enforced.
  • Silence on tolerance. The tolerance becomes whatever was built.
  • Mixing prescriptive and performance by accident. Contractors price the risk, and price it high.
  • No interface allocation. The junction is everyone's responsibility, so it is nobody's.
  • Copying a section from another project. Carries the last building's assumptions into this one.
  • Specifying without submittals. No proof required means no compliance achieved.

Example Trigger Phrases

  • "Write a specification section for the external cladding"
  • "Our tender prices came back wildly different — is it the spec?"
  • "How do I write a performance specification for windows?"
  • "What should 'or equal approved' actually say?"
  • "Write the execution and tolerance clauses for this finish"

Frequently asked questions

What does the Architectural Specification AI skill do?

Write a specification section that a contractor can price accurately and a site can build from — performance stated, products defined, workmanship and tolerances given, and the coordination with the drawings made explicit. Use when asked to write a specification, spec a material or system, prepare an NBS-style section, or when a specification produced wildly different tender prices. Produces the scope and interface definition, the performance requirements, the product or system definition, execution and tolerance requirements, and the submittals and testing schedule.

Why use Architectural Specification on TypingMind?

Because you install it once and use it with any model. Architectural Specification is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Architectural Specification in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mohitagw15856/pm-claude-skills/tree/main/exports/openclaw/architectural-specification. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Architectural Specification?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Architectural Specification?

As many as you like. As long as a model supports skills, you can use Architectural Specification with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Architectural Specification AI skill free?

Yes. It is published on GitHub by mohitagw15856 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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