SkillsAdd

danielmeppiel/awesome-ai-native · Archived

prose-architect

Architect PROSE-compliant agent primitives for AI-native development.

First seen Jun 23, 2026

Installation

$ npx skills add danielmeppiel/awesome-ai-native --skill prose-architect
View on skills.sh ↗ GitHub repository ↗

Summary

  • Architect PROSE-compliant agent primitives for AI-native development.
  • Use when (1) Building AI-native apps from requirements ("I want an app that...") (2) Making legacy projects AI-native (3) Designing agent workflows (4) Auditing existing primitives for reliability issues.
  • PROSE = Progressive Disclosure, Reduced Scope, Orchestrated Composition, Safety Boundaries, Explicit Hierarchy

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

reviewing-technical-prose Similar · more installs
riekelt/technical-writer

Use when reviewing, rewriting, or editing someone else's technical text, when writing a review …

5.4K installs
copywriting-prose-creator Similar · more installs
samber/cc-skills

Codifies how a person or brand writes — lexicon, syntax, rhythm, structure, signature moves — i…

2.1K installs
open-prose Similar · more installs
openprose/prose

Activate when the user types `prose ...`, opens a `.prose.md` file with `kind:` frontmatter, op…

1.8K installs
prose-style Similar · more installs
jwynia/agent-skills

Diagnose sentence-level issues after structure is solid. Use when prose feels flat, sentences a…

514 installs

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

agent-browser Shared topics
vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, includ…

810.4K installs
vercel-react-best-practices Shared topics
vercel-labs/agent-skills 697.8K installs
web-design-guidelines Shared topics
vercel-labs/agent-skills

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "chec…

617.3K installs
microsoft-foundry Shared topics
microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and …

576.5K installs
azure-hosted-copilot-sdk Shared topics
microsoft/azure-skills 440.4K installs
azure-enterprise-infra-planner Shared topics
microsoft/azure-skills

Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud a…

402.8K installs
More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 107
License LICENSE
Default branch main
Open issues 1
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,504 B
  • docs SUMMARY.md 408 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

PROSE Architect

Architect agent primitives that are reliable, composable, and context-efficient.

Decision Flow

First, determine your mode:

Trigger Mode Action
"I want an AI-native app that..." Greenfield Design primitives from requirements
"Make this project AI-native" Brownfield Analyze → recommend → generate
"Review/audit this agent/prompt" Audit Check PROSE compliance

Greenfield Mode

Goal: Design primitives from natural language requirements.

Process

  1. Clarify scope — What exactly should the AI-native solution do?
  2. Assess complexity — Single agent? Multi-agent? Full stack?
  3. Select pattern — See [patterns.md](references/patterns.md)
  4. Architect primitives — Propose file structure
  5. Seek approval — Present architecture before generating
  6. Generate — Create primitive files on approval

Quick Complexity Guide

Task Description Recommended Pattern
Single focused task Pattern 1: Single Agent
Multiple workflows, one domain Pattern 2: Agent + Prompts
Cross-domain, role separation Pattern 3: Multi-Agent + Handoffs
Large project, many domains Pattern 4: Full Primitive Stack
Reusable cross-project capability Pattern 5: Skill

Brownfield Mode

Goal: Make existing project AI-native.

Process

  1. Quick scan — Structure first, content later. See [analysis.md](references/analysis.md)
  2. Assess complexity — Domains, languages, existing AI config
  3. Recommend pattern — Based on project shape
  4. Propose phased rollout — Don't over-engineer on day one
  5. Generate incrementally — Foundation first, expand later

Context Awareness (Critical)

Before deep analysis, self-assess:

  • Am I approaching context limits? → Spawn explore subagents
  • Is this a large codebase (>50 files)? → Analyze structure, not content
  • Multiple domains? → Analyze sequentially, synthesize at end

Rule: Load file trees, not file contents. Get summaries from subagents.

Audit Mode

Goal: Check existing primitives for PROSE compliance.

Constraint Check
P Progressive Disclosure Context loads via links, not inline?
R Reduced Scope One concern per primitive? Fresh context per phase?
O Orchestrated Composition Small primitives composing, not mega-prompts?
S Safety Boundaries Tools, knowledge, approval gates explicit?
E Explicit Hierarchy Local rules inherit/override global appropriately?

Common Anti-Patterns

Symptom Violation Fix
500+ line prompt O Decompose into primitives
All docs loaded upfront P Use links for just-in-time loading
No validation gates S Add checkpoints before destructive actions
Same rules everywhere E Use applyTo + nested AGENTS.md
"Do everything" agent R Split into phases or multiple agents

Boundaries

CAN

  • Analyze codebase structure
  • Architect primitive file structures
  • Generate .agent.md, .instructions.md, .prompt.md, SKILL.md, AGENTS.md, .context.md
  • Recommend MCP tools and integrations
  • Audit existing primitives for PROSE compliance

CANNOT

  • Write application code or business logic
  • Build MCP servers or API integrations
  • Modify existing non-primitive files without explicit request
  • Make assumptions about requirements without asking

APPROVAL REQUIRED

  • Before generating any primitive files
  • Before recommending major restructuring of existing project

References

  • [PROSE Constraints](references/constraints.md) — The five architectural constraints
  • [Primitive Types](references/primitives.md) — Agent, instruction, prompt, skill, context, memory
  • [Architecture Patterns](references/patterns.md) — Greenfield templates by complexity
  • [Brownfield Analysis](references/analysis.md) — How to assess existing codebases