Best use case
mention-wire is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
It is a strong fit for teams already working in Codex.
Analyze codebase and inject @-mentions for traceability
Teams using mention-wire should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mention-wire/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mention-wire Compares
| Feature / Agent | mention-wire | Standard Approach |
|---|---|---|
| Platform Support | Codex | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Analyze codebase and inject @-mentions for traceability
Which AI agents support this skill?
This skill is designed for Codex.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# @-Mention Wiring
Analyze codebase relationships and inject @-mentions for traceability.
## Research Foundation
- **REF-001**: BP-9 - Traceability from requirements to code to tests
- Claude Code 2.0.43: @-mention fixes for reliable nested loading
## Usage
```bash
/mention-wire # Analyze current directory
/mention-wire --dry-run # Show what would be added
/mention-wire --interactive # Approve each mention
/mention-wire --auto # Apply high-confidence mentions
/mention-wire --confidence 90 # Set confidence threshold
```
## Options
| Option | Default | Description |
|--------|---------|-------------|
| --target | . | Directory to analyze |
| --dry-run | false | Show proposed changes without applying |
| --interactive | false | Prompt for approval per file |
| --auto | false | Apply mentions above confidence threshold |
| --confidence | 80 | Minimum confidence % for auto mode |
## Process
### 1. Scan Directory
Identify files and their types:
- Source code (`.ts`, `.js`, `.py`, `.go`, etc.)
- Test files (`*.test.*`, `*.spec.*`, `test_*`)
- SDLC artifacts (`.aiwg/**/*.md`)
- Documentation (`docs/**/*.md`)
### 2. Analyze Relationships
Detect relationships using heuristics:
| Pattern | Inferred @-mention | Confidence |
|---------|-------------------|------------|
| File in `src/auth/` | `@.aiwg/requirements/UC-*-auth*.md` | 85% |
| File named `*test*.ts` | `@$AIWG_ROOT/src/{corresponding-source}.ts` | 92% |
| Comment `// UC-001` | `@.aiwg/requirements/UC-001.md` | 95% |
| Comment `// ADR-005` | `@.aiwg/architecture/adrs/ADR-005*.md` | 90% |
| JSDoc `@implements` | Parse and validate | 98% |
| Import statement | `@{imported-file}` | 88% |
### 3. Generate Suggestions
Output format:
```
src/services/auth/login.ts (confidence: 85%)
+ @.aiwg/requirements/UC-003-user-auth.md (name match)
+ @.aiwg/architecture/adrs/ADR-005-jwt-strategy.md (comment: "JWT")
test/integration/auth.test.ts (confidence: 92%)
+ @$AIWG_ROOT/src/services/auth/login.ts (test-to-source)
+ @.aiwg/requirements/UC-003-user-auth.md (inherited from source)
```
### 4. Apply Changes
Depending on mode:
- `--dry-run`: Display only
- `--interactive`: Prompt per file
- `--auto`: Apply above threshold
## Placement Rules
### Code Files
Add @-mentions to file header:
```typescript
/**
* @file Authentication Service
* @implements @.aiwg/requirements/UC-003-user-auth.md
* @architecture @.aiwg/architecture/adrs/ADR-005-jwt-strategy.md
* @security @.aiwg/security/controls/authn-001.md
* @tests @test/integration/auth.test.ts
*/
```
### Markdown Files
Add to References section:
```markdown
## References
- @.aiwg/requirements/user-stories.md - Functional requirements
- @.aiwg/architecture/software-architecture-doc.md - Architecture
```
## Examples
```bash
# Preview what would be wired
/mention-wire --dry-run
# Wire with interactive approval
/mention-wire --interactive
# Auto-wire high confidence (>80%)
/mention-wire --auto
# Auto-wire with higher threshold
/mention-wire --auto --confidence 90
```
## CLI Equivalent
```bash
aiwg wire-mentions [--target <dir>] [--dry-run] [--interactive] [--auto]
```
## Related Commands
- `/mention-validate` - Validate @-mentions resolve
- `/mention-lint` - Lint @-mention style
- `/mention-report` - Generate traceability report
- `/mention-conventions` - Display conventions
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