aiwg
Version:
Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.
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Markdown
# Regenerate Command Base Template
This template provides the common structure for all vendor-specific regenerate commands.
## Common Elements
All regenerate commands share these elements:
### 1. Frontmatter
```yaml
---
name: aiwg-regenerate-{vendor}
description: Regenerate {context-file} for {Vendor Name} with preserved team directives
args: "[--no-backup] [--dry-run] [--show-preserved] [--full] [--interactive] [--guidance "text"]"
---
```
### 2. Purpose Statement
```markdown
# Regenerate {context-file}
Regenerate the `{context-file}` file for {Vendor Name} integration, analyzing current project state while preserving team directives and organizational requirements.
**Key principle:** Team content is preserved. AIWG content is updated.
```
### 3. Standard Parameters
| Flag | Description |
|------|-------------|
| `--no-backup` | Skip creating backup file |
| `--dry-run` | Preview changes without writing |
| `--show-preserved` | List all detected preserved content and exit |
| `--full` | Full regeneration, preserve nothing (destructive) |
| `--interactive` | Interactive mode with confirmations |
| `--guidance "text"` | Additional guidance for content generation |
### 4. Execution Steps
#### Step 1: Create Backup
Unless `--no-backup` specified:
1. Check if `{context-file}` exists
2. If exists, copy to `{context-file}.backup-{YYYYMMDD-HHMMSS}`
3. Report backup location
#### Step 2: Extract Preserved Content
Identify and preserve:
1. **Explicit Preserve Blocks**: `<!-- PRESERVE -->` ... `<!-- /PRESERVE -->`
2. **Preserved Section Headings**: Team *, Org *, Definition of Done, Security Requirements, API Guidelines, etc.
3. **Inline Directives**: Lines with directive keywords (MUST, NEVER, ALWAYS, etc.)
**Preservation heuristics:**
- Team content uses first-person ("we", "our team")
- Team content references specific business/domain terms
- Team content contains opinions, preferences, rationale
- AIWG content references `~/.local/share/ai-writing-guide`
- AIWG content has structured @-mention tables
- AIWG content lists agents, commands, frameworks
#### Step 3: Analyze Project
Detect and document:
**Languages & Package Managers:**
- `package.json` → Node.js/npm
- `pyproject.toml` / `requirements.txt` → Python
- `go.mod` → Go
- `Cargo.toml` → Rust
- `pom.xml` / `build.gradle` → Java
- `composer.json` → PHP
- `Gemfile` → Ruby
**Development Commands:**
Extract from `package.json` scripts, `Makefile` targets, etc.
**Test Framework:**
Detect from config files and file patterns.
**CI/CD:**
Check for `.github/workflows/`, `.gitlab-ci.yml`, etc.
**Directory Structure:**
Map standard directories and their purposes.
**Project Description:**
Extract from README.md or package.json.
#### Step 4: Detect AIWG State
Check for installed frameworks:
1. Read `.aiwg/frameworks/registry.json` if exists
2. Scan vendor-specific directories for deployed artifacts
3. Read `~/.local/share/ai-writing-guide/registry.json` for global state
4. Count agents and commands deployed
#### Step 5: Generate Context File
**Document structure varies by vendor** (see vendor-specific sections below).
**Common sections:**
- Project overview
- Tech stack
- Development commands
- Testing information
- Architecture/structure
- **[PRESERVED TEAM CONTENT]** (verbatim, in original location)
- Project artifacts (@-mentions to .aiwg/)
- AIWG integration summary
- **Full Reference section** (links only, minimal inline)
#### Step 6: Write Output
**If `--dry-run`:** Display content, do not write.
**Otherwise:**
1. Ensure target directory exists
2. Write generated content to `{context-file}`
3. Verify write succeeded
4. Report summary
### 5. Standard Summary Report
```
{context-file} Regenerated
====================================
Backup: {context-file}.backup-20260113-152233
Team Content Preserved:
✓ Team Conventions (18 lines)
✓ Definition of Done (9 lines)
✓ Security Requirements (7 lines)
✓ API Guidelines (12 lines)
AIWG Content Updated:
✓ Tech Stack (TypeScript, Node.js 18+)
✓ Development Commands (12 scripts)
✓ Testing (Vitest)
✓ Project Artifacts (@-mentions)
✓ AIWG Integration
- {framework} ({N} agents, {M} commands)
- {addon} (utilities)
Enhancements Added:
✓ Linked Security Requirements → flow-security-review-cycle
✓ Linked API Guidelines → architecture docs
Output: {context-file} ({lines} lines, {bytes} bytes)
```
### 6. Error Handling
| Condition | Action |
|-----------|--------|
| No context file exists | Generate fresh document |
| Backup fails | Abort, report error |
| Read error | Report error, suggest --full |
| No AIWG detected | Generate project-only content, warn |
| No package files | Generate minimal structure, warn |
| Ambiguous content | Preserve it (err on side of caution) |
### 7. Related Commands Section
```markdown
## Related Commands
| Command | Regenerates |
|---------|-------------|
| `/aiwg-regenerate-claude` | CLAUDE.md (Claude Code) |
| `/aiwg-regenerate-copilot` | copilot-instructions.md (GitHub Copilot) |
| `/aiwg-regenerate-cursorrules` | .cursorrules (Cursor) |
| `/aiwg-regenerate-windsurfrules` | .windsurfrules (Windsurf) |
| `/aiwg-regenerate-warp` | WARP.md (Warp Terminal) |
| `/aiwg-regenerate-factory` | .factory/README.md (Factory AI) |
| `/aiwg-regenerate-agents` | AGENTS.md (Multi-vendor) |
| `/aiwg-regenerate` | Auto-detect vendor |
```
## Vendor-Specific Sections
### VENDOR_COMMANDS Section
**Purpose:** List only commands relevant to this vendor.
**Claude Code:**
```markdown
### Available Commands
Commands are invoked with `/command-name`:
**Intake & Planning:**
- `/intake-wizard` - Generate project intake forms
- `/project-status` - Check current project phase
**Phase Transitions:**
- `/flow-inception-to-elaboration` - Transition to Elaboration
- `/flow-gate-check` - Validate phase gate criteria
**Full command list:** @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/commands/
```
**GitHub Copilot:**
```markdown
### Natural Language Patterns
Request workflows using natural language:
| Request | Maps To |
|---------|---------|
| "run security review" | flow-security-review-cycle |
| "check project status" | project-status |
| "transition to elaboration" | flow-inception-to-elaboration |
**Full pattern list:** @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/docs/simple-language-translations.md
```
**Cursor / Windsurf:**
```markdown
### Workflow Requests
Use natural language to request AIWG workflows:
Examples:
- "Run security review for this feature"
- "Check project status and next steps"
- "Generate test strategy for authentication module"
**Full workflow guide:** @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/docs/orchestrator-architecture.md
```
### VENDOR_AGENTS Section
**Claude Code:**
```markdown
### Available Agents
Agents are markdown files in `.claude/agents/`:
**Architecture & Design:**
- `architecture-designer` - System architecture and technical decisions
- `database-architect` - Database design and optimization
**Development:**
- `software-implementer` - Test-first development
- `test-engineer` - Comprehensive test suite creation
**Full agent catalog:** @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/agents/
```
**GitHub Copilot:**
```markdown
### Custom Agents
Agents are YAML files in `.github/agents/`:
Invoke via @-mention in Copilot Chat:
```text
@security-architect Review authentication implementation
@test-engineer Generate unit tests for user service
```
**Agent definitions:** .github/agents/
**Full catalog:** @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/agents/
```
### VENDOR_REFERENCES Section
**Keep this section link-heavy, content-light.**
```markdown
## 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 Commands: @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/commands/
- All Agents: @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/agents/
- Natural Language Mappings: @~/.local/share/ai-writing-guide/agentic/code/frameworks/sdlc-complete/docs/simple-language-translations.md
**Core Orchestration:**
- Orchestrator Guide: @~/.local/share/ai-writing-guide/agentic/code/addons/aiwg-utils/prompts/core/orchestrator.md
- Agent Design Rules: @~/.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
**Multi-vendor setup?**
{Links to other vendor context files if they exist}
```
## Anti-Patterns to Avoid
1. **Don't inline full command definitions** - Link to them instead
2. **Don't duplicate framework docs** - Reference them
3. **Don't include commands for other vendors** - Keep it focused
4. **Don't remove team content** - Preserve everything team-written
5. **Don't generate opinions** - Preserve team's decisions
6. **Don't exceed ~400 lines** - Move detail to separate docs
## Testing Checklist
Before finalizing a regenerate command:
- [ ] Vendor detection works correctly
- [ ] Only vendor-specific commands included
- [ ] Team content preservation works
- [ ] Backup creation works
- [ ] Dry-run mode works
- [ ] Summary report is accurate
- [ ] Links to full docs are correct
- [ ] Context file size is reasonable (<500 lines)
- [ ] Multi-vendor references work
- [ ] Error handling is robust
## Implementation Notes
Each vendor regenerate command should:
1. Import this base template structure
2. Add vendor-specific detection logic (see vendor-detection.md)
3. Customize the VENDOR_COMMANDS section
4. Customize the VENDOR_AGENTS section
5. Customize the VENDOR_REFERENCES section
6. Keep common elements consistent across vendors
7. Test with real projects that have team content
## Version History
- **2026.01.0** - Initial base template with vendor-specific filtering
- Purpose: Reduce context pollution by including only relevant vendor content