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Project Architect

Community
ersinkoc
project-architect

Documentation-first project planning that produces implementation-ready blueprints and single-shot coding agent prompts. Generates 4 interconnected docs — SPECIFICATION.md, IMPLEMENTATION.md, TASKS.md, BRANDING.md — plus a self-contained PROMPT.md for autonomous execution by any coding agent. Includes interactive tech stack selection, design pattern recommendations, and architecture decisions with trade-off analysis. Trigger when user wants to: plan a project, create specs, architect a system, break work into tasks, choose a tech stack, get design pattern advice, generate a coding agent prompt, or do documentation-first development. Phrases: "plan my project", "spec this out", "architect", "help me plan", "what stack should I use", "generate a prompt", "break this into tasks", "project docs", "I want to build X".

Overview

Publisherersinkoc
Repositoryproject-architect
Skill nameproject-architect
Stars
261
Forks
32
Bundled files
9
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.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Project Architect 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.
    https://github.com/ersinkoc/project-architect/tree/main
  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/ersinkoc/project-architect.git \
  .claude/skills/project-architect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Architect 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 Project Architect 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 Project Architect 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.

Project Architect

A documentation-first project planning system that produces implementation-ready blueprints and agent-ready prompts. The philosophy: think deeply, document thoroughly, then execute with zero ambiguity. The final PROMPT.md is self-contained and portable — hand it to WrongStack, Claude Code, or any agent that reads and writes files.

Output Pipeline

[Discovery]  →  SPECIFICATION.md  →  IMPLEMENTATION.md  →  TASKS.md  →  BRANDING.md
                  (The What)           (The How)           (The Work)    (Identity)
                       ↓                    ↓                   ↓
                       └────────────────────┴───────────────────┘
                                          ↓
                                     PROMPT.md
                             (Single-Shot Agent Prompt)

Each document feeds the next. The final PROMPT.md synthesizes all documents into a single prompt optimized for single-shot execution by any coding agent (WrongStack, Claude Code, Cursor, and others).

Reference Files

Read the appropriate reference file before generating each document:

PhaseReference FileWhen to Read
Discovery${CLAUDE_PLUGIN_ROOT}/references/elicitation-guide.mdBefore asking any questions
Tech Stack${CLAUDE_PLUGIN_ROOT}/references/tech-stacks.mdWhen user needs stack selection help
Patterns${CLAUDE_PLUGIN_ROOT}/references/design-patterns.mdWhen making architecture decisions
Specification${CLAUDE_PLUGIN_ROOT}/references/specification-guide.mdBefore generating SPECIFICATION.md
Implementation${CLAUDE_PLUGIN_ROOT}/references/implementation-guide.mdBefore generating IMPLEMENTATION.md
Tasks${CLAUDE_PLUGIN_ROOT}/references/tasks-guide.mdBefore generating TASKS.md
Branding${CLAUDE_PLUGIN_ROOT}/references/branding-guide.mdBefore generating BRANDING.md
Prompt${CLAUDE_PLUGIN_ROOT}/references/agent-prompt.mdBefore generating PROMPT.md

Workflow

Phase 0: Discovery & Elicitation

Read ${CLAUDE_PLUGIN_ROOT}/references/elicitation-guide.md for the full question framework.

Before writing anything, understand the project through structured conversation. Use AskUserQuestion tool aggressively for choices — the user should tap, not type, whenever possible.

Minimum understanding before any document generation:

  1. What does this project do? (elevator pitch)
  2. Who is it for? (target audience)
  3. What's the project type? (web app, CLI, library, API, mobile, desktop, infra tool)
  4. What's the scope? (MVP vs full product)
  5. Tech stack direction (or "help me choose")

If the user says "help me choose a stack": Read ${CLAUDE_PLUGIN_ROOT}/references/tech-stacks.md and run the interactive stack selection flow. Present options with trade-offs using AskUserQuestion.

Phase 1: SPECIFICATION.md

Read ${CLAUDE_PLUGIN_ROOT}/references/specification-guide.md before generating.

Defines what the project is. Technology-aware but not implementation-detailed. After generating, pause for user review.

Phase 2: IMPLEMENTATION.md

Read ${CLAUDE_PLUGIN_ROOT}/references/implementation-guide.md AND ${CLAUDE_PLUGIN_ROOT}/references/design-patterns.md before generating.

Translates specification into how to build it. This is where you:

  • Recommend design patterns based on the project's needs (consult patterns reference)
  • Define concrete directory structures with file-by-file purpose
  • Choose dependencies with rationale
  • Define module interfaces and data flows
  • Include code snippets for critical patterns (signatures, types, structural examples)

Pattern Recommendations: Consult ${CLAUDE_PLUGIN_ROOT}/references/design-patterns.md and recommend specific patterns with rationale. Don't just name-drop — show how each pattern applies to THIS project with a short code sketch.

Phase 3: TASKS.md

Read ${CLAUDE_PLUGIN_ROOT}/references/tasks-guide.md before generating.

Converts implementation into ordered work items. Each task must be:

  • Completable by a coding agent in a single session
  • Self-contained with full context
  • Ordered by strict dependency chain
  • Include the exact files to create/modify

Phase 4: BRANDING.md (Optional)

Read ${CLAUDE_PLUGIN_ROOT}/references/branding-guide.md before generating.

Only generate if user wants it or the project is user-facing.

Phase 5: PROMPT.md (Always Generate)

Read ${CLAUDE_PLUGIN_ROOT}/references/agent-prompt.md before generating.

This is the most critical output. Synthesize all documents into a single-shot prompt that any coding agent (WrongStack, Claude Code, Cursor, …) can execute to build the entire project from scratch. The prompt must be completely self-contained, with inline code for complex patterns and an ordered checklist of every file to create.

Operating Rules

  1. Document order is sequential. SPEC → IMPL → TASKS → BRANDING → PROMPT. Never skip ahead.

  2. Pause between documents. Present each doc, ask for approval before the next.

  3. Use AskUserQuestion for decisions. Tech stack, database, auth, deployment — any decision with 2-4 clear options should use interactive selection, not freeform questions.

  4. Recommend, don't dictate. Present 2-3 options with trade-offs. Let user choose. If user says "you pick", choose and explain why.

  5. Scale to project size. Weekend project = concise docs, 15-30 tasks. Enterprise platform = thorough docs, 100+ tasks. Match depth to ambition.

  6. Always save as files. Every document goes to ./[project-name]/docs/ in the current working directory as Markdown files. Use the Write tool to save them.

  7. Cross-reference between documents. IMPL references SPEC sections. TASKS reference IMPL modules. PROMPT inlines everything needed.

  8. No filler. Every line must be specific to THIS project. Remove sections that would be generic boilerplate.

  9. Design patterns are recommendations. When choosing patterns for IMPLEMENTATION.md, consult ${CLAUDE_PLUGIN_ROOT}/references/design-patterns.md and match patterns to the project's specific needs. Include a brief "why this pattern" rationale for each recommendation.

Plugin-Aware Integration

Check if the user has other Claude Code plugins or skills installed. If they do:

  • Frontend framework planner (react-app-planner, nextjs-app-planner, etc.) → Suggest using it for deeper framework decisions after architect docs are done
  • Frontend design → Reference it for UI component guidance in IMPLEMENTATION.md
  • Brand/design skills → Integrate into BRANDING.md generation
  • MCP builder → If project includes an MCP server, note the skill for implementation phase
  • Language-specific skills (typescript-mastery, etc.) → Incorporate coding standards from that skill into IMPLEMENTATION.md

Mention relevant skills naturally: "You have a react-app-planner skill — want me to use it for deeper React architecture decisions after we finish the high-level plan?"

Handling Partial Input

ScenarioAction
Vague 1-linerFull elicitation flow with AskUserQuestion
Detailed briefExtract answers, ask only gaps
Existing spec uploadedValidate, suggest improvements, continue from Phase 2
"Just the spec"Generate SPECIFICATION.md only, offer to continue later
"Skip to tasks"Gather context, generate lightweight spec+impl, then tasks
"Just give me a prompt"Condensed discovery → direct PROMPT.md generation
"Help me choose a stack"Run tech stack advisor from ${CLAUDE_PLUGIN_ROOT}/references/tech-stacks.md
"What patterns should I use?"Consult ${CLAUDE_PLUGIN_ROOT}/references/design-patterns.md, ask about project

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Project Architect AI skill do?

Documentation-first project planning that produces implementation-ready blueprints and single-shot coding agent prompts. Generates 4 interconnected docs — SPECIFICATION.md, IMPLEMENTATION.md, TASKS.md, BRANDING.md — plus a self-contained PROMPT.md for autonomous execution by any coding agent. Includes interactive tech stack selection, design pattern recommendations, and architecture decisions with trade-off analysis. Trigger when user wants to: plan a project, create specs, architect a system, break work into tasks, choose a tech stack, get design pattern advice, generate a coding agent pro...

Why use Project Architect on TypingMind?

Because you install it once and use it with any model. Project Architect 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 Project Architect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ersinkoc/project-architect/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Project Architect?

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 Project Architect?

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

Is the Project Architect AI skill free?

Yes. It is published on GitHub by ersinkoc 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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