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Aiwg Regenerate Warp

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jmagly
aiwg-regenerate-warp

Regenerate WARP.md for Warp Terminal with preserved team directives

Overview

Publisherjmagly
Repositoryaiwg
Skill nameaiwg-regenerate-warp
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 Warp 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-warp
  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-warp .claude/skills/aiwg-regenerate-warp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aiwg Regenerate Warp 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 Warp 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 Warp 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 WARP.md

Regenerate the WARP.md file for Warp Terminal integration, analyzing current project state while preserving team directives and organizational requirements.

Hook file approach (default): Generates AIWG-warp.md and adds a section or @AIWG-warp.md directive to WARP.md. Note: Warp's @-link support is unverified — defaults to section-style toggle until confirmed (see #444).

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

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)

Warp Terminal Conventions

WARP.md follows Warp Terminal formatting conventions:

  • ### headings for agents and commands (not ##)
  • Inline tool lists with agents
  • Terminal-friendly command formatting (easy copy-paste)
  • Concise descriptions optimized for terminal display

Execution Steps

Step 1: Create Backup

Unless --no-backup specified:

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

Step 2: Extract Preserved Content

Same preservation patterns as CLAUDE.md:

  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

Same project analysis as CLAUDE.md:

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

Step 4: Detect AIWG State

Check installed frameworks and deployed assets:

  • Scan for WARP-specific formatting in existing files
  • Count agents and commands
  • Identify active frameworks

Step 5: Generate WARP.md

Document Structure (Warp Format):

markdown
# WARP.md

Project guidance for Warp Terminal AI assistance.

## Project Overview

{Brief project description from README.md}

**Tech Stack**: {languages} | **Package Manager**: {npm/pip/etc} | **Test Framework**: {framework}

## Quick Commands

Copy-paste ready commands for common tasks:

```bash
# Install dependencies
{install command}

# Run development server
{dev command}

# Run tests
{test command}

# Build for production
{build command}

# Lint code
{lint command}

Project Structure

{directory tree with descriptions}

Team Directives

{ALL PRESERVED CONTENT}


Project Artifacts

{If .aiwg/ exists, list available project docs:}

CategoryLocation
Requirements@.aiwg/requirements/
Architecture@.aiwg/architecture/
Planning@.aiwg/planning/

{Only include rows for directories that exist}


AIWG Integration

Agents

{List deployed agents with brief descriptions}

Commands

{List deployed commands organized by category}

Natural Language

You SayExecutes
"transition to elaboration"flow-inception-to-elaboration
"run security review"flow-security-review-cycle
"check status"project-status

Core References

TopicReference
Orchestration@~/.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

{If SDLC framework installed:}

SDLC References

TopicReference
Natural Language@~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/docs/simple-language-translations.md
Orchestration@~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/docs/orchestrator-architecture.md


### Step 6: Write Output

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

**Otherwise:**
1. Write to `WARP.md`
2. Report summary

WARP.md Regenerated

Backup: WARP.md.backup-20251206-153045

Preserved: 3 sections, 34 lines Regenerated: Project info, commands, AIWG integration

Output: WARP.md (312 lines)


## Warp-Specific Formatting Notes

### Agent Format
```markdown
### Agent Name
Brief description of what the agent does.
**Tools**: Tool1, Tool2, Tool3

Command Format

markdown
- `/command-name` - Brief description

Quick Commands

Formatted for easy terminal copy-paste:

bash
# Description of command
actual_command --with-flags

Examples

bash
# Regenerate WARP.md
/aiwg-regenerate-warp

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

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

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

Notes

  • This command is Warp Terminal specific
  • For Claude Code, use /aiwg-regenerate-claude
  • For Factory AI, use /aiwg-regenerate-factory
  • For auto-detection, use /aiwg-regenerate

References

  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/README.md — aiwg-utils addon overview
  • @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/native-ux-tools.md — Platform capability matrix including Warp Terminal
  • @$AIWG_ROOT/docs/cli-reference.md — CLI reference for aiwg sync and regenerate commands
  • @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/README.md — SDLC framework context referenced in generated WARP.md

Frequently asked questions

What does the Aiwg Regenerate Warp AI skill do?

Regenerate WARP.md for Warp Terminal with preserved team directives

Why use Aiwg Regenerate Warp on TypingMind?

Because you install it once and use it with any model. Aiwg Regenerate Warp 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 Warp 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-warp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aiwg Regenerate Warp?

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 Warp?

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

Is the Aiwg Regenerate Warp 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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