How do I install the Mention Wire skill?

Run npx skillmds@latest add jmagly-ai-writing-guide/mention-wire in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Mention Wire skill do?

Analyze codebase and inject @-mentions for traceability It is listed under Coding & Dev Tools on SkillMD.

Is Mention Wire safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Mention Wire?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Mention Wire free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Mention Wire?

jmagly (@jmagly-ai-writing-guide) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Mention Wire by jmagly-ai-writing-guide

Name: Mention Wire
Rating: 4.666666666666667 (3 reviews)
Author: jmagly

File contents

@-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

/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:

/**
 * @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:

## References

- @.aiwg/requirements/user-stories.md - Functional requirements
- @.aiwg/architecture/software-architecture-doc.md - Architecture

Examples

# 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

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

Wire @-mentions for: $ARGUMENTS

---namespace: aiwgname: mention-wireplatforms: [all]description: Analyze codebase and inject @-mentions for traceability---# @-Mention WiringAnalyze 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 DirectoryIdentify 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 RelationshipsDetect relationships using heuristics:| Pattern | Inferred @-mention | Confidence ||---------|-------------------|------------|| File in `src/auth/` | `@.aiwg/requirements/UC-*-auth*.md` | 85% || File named `*test*.ts` | `@$AIWG_ROOT/src/{corresponding-source}.ts` | 92% || Comment `// UC-001` | `@.aiwg/requirements/UC-001.md` | 95% || Comment `// ADR-005` | `@.aiwg/architecture/adrs/ADR-005*.md` | 90% || JSDoc `@implements` | Parse and validate | 98% || Import statement | `@{imported-file}` | 88% |### 3. Generate SuggestionsOutput format:```src/services/auth/login.ts (confidence: 85%) + @.aiwg/requirements/UC-003-user-auth.md (name match) + @.aiwg/architecture/adrs/ADR-005-jwt-strategy.md (comment: "JWT")test/integration/auth.test.ts (confidence: 92%) + @$AIWG_ROOT/src/services/auth/login.ts (test-to-source) + @.aiwg/requirements/UC-003-user-auth.md (inherited from source)```### 4. Apply ChangesDepending on mode:- `--dry-run`: Display only- `--interactive`: Prompt per file- `--auto`: Apply above threshold## Placement Rules### Code FilesAdd @-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 FilesAdd 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```bashaiwg 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 conventionsWire @-mentions for: $ARGUMENTS

Frequently asked questions

Mention Wire