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Aiwg Regenerate Copilot

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jmagly
aiwg-regenerate-copilot

Regenerate copilot-instructions.md for GitHub Copilot with vendor-specific content only

Overview

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

Use it in TypingMind

Enable Aiwg Regenerate Copilot 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 Copilot 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 Copilot 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 copilot-instructions.md

Regenerate the .github/copilot-instructions.md file for GitHub Copilot integration, analyzing current project state while preserving team directives and organizational requirements.

Hook file approach (default): Generates AIWG-copilot.md and adds @AIWG-copilot.md directive to copilot-instructions.md if @-link is supported. Note: Copilot @-link support is unverified — defaults to full inject until confirmed (see #444).

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

Vendor-specific filtering: This command includes ONLY GitHub Copilot patterns and agent references, reducing context pollution. Other vendor content is referenced but not inlined.

Core Principle

Team content is preserved. AIWG content is updated. Only Copilot-specific content is inlined.

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 .github/copilot-instructions.md exists
  2. If exists, copy to .github/copilot-instructions.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 (especially .github/workflows/)
  • Directory structure
  • Existing .github/agents/ configuration

Step 4: Detect AIWG State

Check installed frameworks by scanning:

  • .github/agents/ for custom agents (YAML format)
  • .github/copilot/ for Copilot configuration
  • .github/workflows/ for CI/CD workflows

Read registry for framework versions.

Step 5: Generate copilot-instructions.md

Document Structure:

markdown
# GitHub Copilot Instructions

Project instructions for GitHub Copilot AI assistance.

## Project Overview

{Description from README.md or package.json}

## Tech Stack

- **Language**: {detected languages}
- **Framework**: {detected frameworks}
- **Package Manager**: {npm/yarn/pnpm/etc.}

## Development Commands

| Command | Description |
|---------|-------------|
| `npm install` | Install dependencies |
| `npm run build` | Build project |
| `npm test` | Run tests |

## Project Structure

src/ → Source code test/ → Test files docs/ → Documentation .github/ → GitHub configuration


## Code Conventions

{Project-specific conventions}

---

## Team Directives

<!-- PRESERVED SECTION -->

{ALL PRESERVED CONTENT}

<!-- /PRESERVED SECTION -->

---

## AIWG Framework Integration

This project uses AIWG SDLC framework with GitHub Copilot.

### Custom Agents

**Agents are deployed to `.github/agents/` as YAML files.**

Invoke via @-mention in Copilot Chat:

```text
@architecture-designer Design system architecture for authentication
@security-architect Review security implementation
@test-engineer Generate comprehensive test suite
@code-reviewer Review pull request for quality

Available agents:

  • architecture-designer - System architecture and technical decisions
  • security-architect - Security design and threat modeling
  • test-engineer - Test suite creation and strategy
  • code-reviewer - Code quality and security review
  • devops-engineer - CI/CD and deployment automation
  • project-manager - Project planning and tracking

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

Copilot Coding Agent

For automated issue resolution:

  1. Navigate to an issue in GitHub
  2. Assign to Copilot
  3. Copilot analyzes and creates a PR

Natural Language Workflow Requests

Request AIWG workflows using natural language in Copilot Chat:

RequestMaps To
"run security review"flow-security-review-cycle
"check project status"project-status
"transition to elaboration"flow-inception-to-elaboration
"start iteration 2"flow-iteration-dual-track
"generate tests for auth"generate-tests + test-engineer
"review this PR"pr-review + code-reviewer

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

Project Artifacts

{If .aiwg/ exists:}

CategoryLocation
Requirements@.aiwg/requirements/
Architecture@.aiwg/architecture/
Planning@.aiwg/planning/
Testing@.aiwg/testing/
Security@.aiwg/security/

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/

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

Multi-vendor setup?

  • Claude Code: CLAUDE.md
  • Cursor: .cursorrules
  • Warp: WARP.md
  • Other platforms: AGENTS.md


### Step 6: Write Output

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

**Otherwise:**
1. Ensure `.github/` directory exists
2. Write to `.github/copilot-instructions.md`
3. Report summary

copilot-instructions.md Regenerated

Backup: .github/copilot-instructions.md.backup-20260113-153512

Team Content Preserved: ✓ Team Directives (2 sections, 15 lines)

AIWG Content Updated: ✓ Project overview and structure ✓ Copilot agent references (6 listed) ✓ Natural language workflow mappings ✓ Full references included

Vendor-Specific Filtering: ✓ Only Copilot patterns inlined ✓ Other vendors referenced for multi-vendor setups ✓ Context size optimized: 234 lines

Output: .github/copilot-instructions.md (234 lines)


## Vendor-Specific Filtering Rules

**INCLUDE (inline in copilot-instructions.md):**
- GitHub Copilot agent references (YAML in .github/agents/)
- Natural language workflow patterns
- Copilot Chat @-mention examples
- GitHub Actions integration notes
- Issue-to-PR automation patterns

**EXCLUDE (reference only, don't inline):**
- Claude Code slash commands
- Cursor-specific rule syntax
- Warp terminal commands
- Factory droid definitions
- Platform-specific command formats

**REFERENCE (link to, don't detail):**
- Full workflow catalog
- Full agent catalog
- Other vendor context files
- Framework documentation

**Target size:** 200-350 lines (excluding team content)

## Examples

```bash
# Regenerate copilot-instructions.md
/aiwg-regenerate-copilot

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

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

# Full regeneration
/aiwg-regenerate-copilot --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 Copilot AI skill do?

Regenerate copilot-instructions.md for GitHub Copilot with vendor-specific content only

Why use Aiwg Regenerate Copilot on TypingMind?

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

Which AI models can use Aiwg Regenerate Copilot?

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 Copilot?

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

Is the Aiwg Regenerate Copilot 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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