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Aiwg Regenerate Agents

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jmagly
aiwg-regenerate-agents

Regenerate AGENTS.md with vendor-neutral content for multi-platform support

Overview

Publisherjmagly
Repositoryaiwg
Skill nameaiwg-regenerate-agents
Stars
225
Forks
34
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 jmagly on GitHub. Read the source before you install it.

Installation

Install the Aiwg Regenerate Agents 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/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-utils/skills/aiwg-regenerate-agents
  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/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/aiwg-utils/skills/aiwg-regenerate-agents .claude/skills/aiwg-regenerate-agents
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aiwg Regenerate Agents 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 Aiwg Regenerate Agents 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 Aiwg Regenerate Agents 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.

Regenerate AGENTS.md

Regenerate the AGENTS.md file, analyzing current project state while preserving team directives and organizational requirements. Supports Windsurf and Factory AI (both use AGENTS.md as context file).

Hook file approach (default): Generates AIWG-windsurf.md or AIWG-factory.md (per --provider) and adds directive to AGENTS.md. @-link support unverified — defaults to section-style until confirmed (see #444).

Full inject (--full-inject): Embeds AIWG content inline with AIWG markers.

Used by: Factory AI, Cursor, OpenCode, Codex, and other platforms that use AGENTS.md for configuration.

Vendor-neutral: This file provides generic agent descriptions and natural language patterns suitable for any platform.

Core Principle

Team content is preserved. AIWG content is updated. Content is vendor-neutral.

Parameters

FlagDescription
--no-backupSkip creating backup file
--dry-runPreview changes without writing
--show-preservedList all detected preserved content and exit
--fullFull regeneration, preserve nothing (destructive)

Execution Steps

Step 1: Create Backup

Unless --no-backup specified:

  1. Check if AGENTS.md exists
  2. If exists, copy to AGENTS.md.backup-{YYYYMMDD-HHMMSS}
  3. Report backup location

Step 2: Extract Preserved Content

Same preservation patterns as other platforms:

  1. Explicit Preserve Blocks: <!-- PRESERVE --> ... <!-- /PRESERVE -->
  2. Preserved Section Headings: Team *, Org *, Definition of Done, etc.
  3. Inline Directives: Lines with directive keywords

Step 3: Analyze Project

  • Languages and package managers
  • Development commands
  • Test framework
  • CI/CD configuration
  • Directory structure

Step 4: Detect AIWG State

Check installed frameworks by scanning for deployed agents/droids:

  • .factory/droids/ (Factory AI)
  • .opencode/agent/ (OpenCode)
  • .cursor/rules/ (Cursor)
  • .codex/agents/ (Codex)

Read registry for framework versions.

Step 5: Generate AGENTS.md

Document Structure:

markdown
# AGENTS.md

Project configuration for AI assistance platforms.

## Project Overview

{Description from README.md or package.json}

## Tech Stack

- **Language**: {detected languages}
- **Runtime**: {Node.js, Python, etc.}
- **Framework**: {detected frameworks}
- **Test Framework**: {detected test framework}
- **Package Manager**: {npm/yarn/pip/etc.}

## Development Commands

| Command | Description |
|---------|-------------|
| `npm install` | Install dependencies |
| `npm run build` | Build TypeScript to dist/ |
| `npm test` | Run Vitest test suite |
| `npm run lint` | Run ESLint |

## Project Structure

src/ → Source code test/ → Test files tools/ → CLI tools and scripts docs/ → Documentation .github/ → CI/CD workflows


---

## Team Directives

<!-- PRESERVED SECTION -->

{ALL PRESERVED CONTENT}

<!-- /PRESERVED SECTION -->

---

## AIWG Framework

This project uses the AIWG SDLC framework for software development workflows.

### Available Agents

**Architecture & Design:**
- `architecture-designer` - System architecture and technical decisions
- `database-architect` - Database design and optimization
- `api-designer` - RESTful/GraphQL API design

**Development & Implementation:**
- `software-implementer` - Test-first development (TDD)
- `integrator` - Component integration and build management
- `test-engineer` - Comprehensive test suite creation
- `test-architect` - Test strategy and framework design

**Quality & Security:**
- `code-reviewer` - Code quality and security review
- `security-architect` - Security design and threat modeling
- `qa-engineer` - Quality assurance and testing
- `performance-engineer` - Performance optimization

**Operations & Release:**
- `devops-engineer` - CI/CD and deployment automation
- `sre` - Site reliability and monitoring
- `release-manager` - Release coordination and rollout

**Management & Coordination:**
- `project-manager` - Project planning and tracking
- `product-owner` - Product vision and requirements
- `scrum-master` - Agile process facilitation
- `business-analyst` - Requirements gathering and analysis

**Specialized:**
- `technical-writer` - Documentation and content
- `ux-designer` - User experience and interface design
- `data-engineer` - Data pipelines and analytics

**Deployment:** Agents are deployed to platform-specific directories:
- Claude Code: `.claude/agents/`
- GitHub Copilot: `.github/agents/`
- Factory AI: `.factory/droids/`
- Cursor: `.cursor/rules/`

**Full catalog:** @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/agents/

### Workflow Commands

**Intake & Planning:**
- `intake-wizard` - Generate project intake forms
- `intake-from-codebase` - Analyze codebase to generate intake
- `project-status` - Check current project phase
- `project-health-check` - Comprehensive health assessment

**Phase Transitions:**
- `flow-inception-to-elaboration` - Transition to Elaboration
- `flow-elaboration-to-construction` - Transition to Construction
- `flow-construction-to-transition` - Transition to Transition
- `flow-gate-check` - Validate phase gate criteria

**Continuous Workflows:**
- `flow-security-review-cycle` - Security validation
- `flow-test-strategy-execution` - Test execution
- `flow-risk-management-cycle` - Risk management
- `flow-retrospective-cycle` - Retrospective analysis

**Development:**
- `flow-guided-implementation` - Step-by-step implementation
- `generate-tests` - Generate test suite
- `setup-tdd` - Set up test-driven development
- `pr-review` - Pull request review

**Full workflow catalog:** @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/commands/

### Natural Language Requests

Use natural language to request workflows:

| Request | Maps To |
|---------|---------|
| "transition to elaboration" | flow-inception-to-elaboration |
| "run security review" | flow-security-review-cycle |
| "check project status" | project-status |
| "start iteration N" | flow-iteration-dual-track |
| "generate tests for module" | generate-tests + test-engineer |
| "review this PR" | pr-review + code-reviewer |
| "design authentication API" | api-designer |
| "optimize database queries" | database-architect + performance-engineer |

**Natural language guide:** @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/docs/simple-language-translations.md

## Project Artifacts

{If .aiwg/ exists:}

| Category | Location |
|----------|----------|
| Requirements | @.aiwg/requirements/ |
| Architecture | @.aiwg/architecture/ |
| Planning | @.aiwg/planning/ |
| Testing | @.aiwg/testing/ |
| Security | @.aiwg/security/ |
| Deployment | @.aiwg/deployment/ |

## Full Reference

**AIWG Installation:** `~/.local/share/ai-writing-guide/`

**Framework Documentation:**
- SDLC Complete: @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/README.md
- All Workflows: @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/commands/
- All Agents: @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/agents/
- Orchestration: @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/docs/orchestrator-architecture.md

**Core References:**
- Orchestrator: @~/.local/share/ai-writing-guide/agentic/code/addons/aiwg-utils/prompts/core/orchestrator.md
- Agent Design: @~/.local/share/ai-writing-guide/agentic/code/addons/aiwg-utils/prompts/agents/design-rules.md
- Error Recovery: @~/.local/share/ai-writing-guide/agentic/code/addons/aiwg-utils/prompts/reliability/resilience.md

**Platform-specific configurations:**
- Claude Code: CLAUDE.md
- GitHub Copilot: .github/copilot-instructions.md
- Cursor: .cursorrules
- Windsurf: .windsurfrules
- Warp: WARP.md

---

<!--
  Add team-specific notes below.
  Content in preserved sections survives regeneration.
-->

Step 6: Write Output

If --dry-run: Display content, do not write.

Otherwise:

  1. Write to AGENTS.md
  2. Report summary
AGENTS.md Regenerated
=====================

Backup: AGENTS.md.backup-20260113-153512

Team Content Preserved:
  ✓ Team Directives (2 sections, 21 lines)

AIWG Content Updated:
  ✓ Project commands and structure
  ✓ Agent descriptions (20 agents)
  ✓ Workflow patterns (natural language)
  ✓ Full references included

Vendor-Neutral Content:
  ✓ Generic agent descriptions
  ✓ Natural language patterns
  ✓ No platform-specific syntax
  ✓ Context size optimized: 287 lines

Output: AGENTS.md (287 lines)

Vendor-Neutral Content Rules

INCLUDE (generic descriptions):

  • Agent purposes and capabilities
  • Natural language workflow patterns
  • Project structure and commands
  • Framework references

EXCLUDE (platform-specific):

  • Claude Code slash command syntax
  • Copilot @-mention examples
  • Cursor rule patterns
  • Platform-specific invocation methods

REFERENCE (link to all):

  • Full workflow catalog
  • Full agent catalog
  • Platform-specific context files
  • Framework documentation

Target size: 250-350 lines (excluding team content)

Multi-Platform Support

AGENTS.md serves as a fallback for platforms without dedicated context files:

PlatformPrimary ContextFallback
Claude CodeCLAUDE.mdAGENTS.md
GitHub Copilot.github/copilot-instructions.mdAGENTS.md
Cursor.cursorrulesAGENTS.md
Windsurf.windsurfrulesAGENTS.md
WarpWARP.mdAGENTS.md
Factory AI.factory/README.mdAGENTS.md
OpenCode.opencode/README.mdAGENTS.md
Codex~/.codex/configAGENTS.md

Examples

bash
# Regenerate AGENTS.md
/aiwg-regenerate-agents

# Preview changes
/aiwg-regenerate-agents --dry-run

# Check preserved content
/aiwg-regenerate-agents --show-preserved

# Full regeneration
/aiwg-regenerate-agents --full

Related Commands

CommandRegenerates
/aiwg-regenerate-claudeCLAUDE.md (Claude Code)
/aiwg-regenerate-copilotcopilot-instructions.md (GitHub Copilot)
/aiwg-regenerate-cursorrules.cursorrules (Cursor)
/aiwg-regenerate-windsurfrules.windsurfrules (Windsurf)
/aiwg-regenerate-warpWARP.md (Warp Terminal)
/aiwg-regenerate-factory.factory/README.md (Factory AI)
/aiwg-regenerate-agentsAGENTS.md (Multi-vendor)
/aiwg-regenerateAuto-detect vendor

References

  • Base Template: @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/templates/regenerate-base.md
  • Vendor Detection: @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/docs/vendor-detection.md
  • @implements @.aiwg/requirements/use-cases/UC-019-regenerate-vendor-specific.md

Frequently asked questions

What does the Aiwg Regenerate Agents AI skill do?

Regenerate AGENTS.md with vendor-neutral content for multi-platform support

Why use Aiwg Regenerate Agents on TypingMind?

Because you install it once and use it with any model. Aiwg Regenerate Agents 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 Aiwg Regenerate Agents in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-utils/skills/aiwg-regenerate-agents. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aiwg Regenerate Agents?

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 Aiwg Regenerate Agents?

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

Is the Aiwg Regenerate Agents AI skill free?

Yes. It is published on GitHub by jmagly 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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