agentic/code/addons/aiwg-dev/skills/devkit-create-skill/SKILL.md
Enable interactive design mode
npx skillsauth add jmagly/aiwg devkit-create-skillInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create a new skill that can be triggered by natural language patterns.
Skills differ from commands:
/command-name invocationSkills are ideal for:
Verify $ARGUMENTS contains:
--to target (addon or framework, NOT extension)Note: Skills cannot be added to extensions because skills need standalone functionality.
Check target exists:
ls ~/.local/share/ai-writing-guide/agentic/code/addons/<target>/
# or
ls ~/.local/share/ai-writing-guide/agentic/code/frameworks/<target>/
Guide the user through skill design:
Skill Purpose:
What does this skill do? (e.g., "applies voice profiles to content", "validates code quality")
Trigger Phrases:
What natural language phrases should activate this skill? Examples:
- "apply voice", "use voice", "write in <voice> voice"
- "validate code", "check quality", "review code"
- "format document", "clean up", "prettify"
Input Requirements:
What input does this skill need?
- Content to process
- Configuration parameters
- File paths
Output Format:
What does this skill produce?
- Transformed content
- Validation report
- Recommendations
Reference Materials:
Does this skill need supporting documentation?
- Style guides
- Validation rules
- Example outputs
Run the CLI scaffolding tool:
node ~/.local/share/ai-writing-guide/tools/scaffolding/add-skill.mjs \
<name> \
--to <target>
<target>/skills/<name>/
├── SKILL.md # Main skill definition
└── references/ # Supporting documentation
The generated SKILL.md needs customization.
REQUIRED frontmatter fields:
name: — skill slug (kebab-case)description: — Mandatory. Used by Claude Code for NL matching and required by Codex (Codex rejects any SKILL.md without a non-empty description). Never leave this blank.version: — semver string (e.g., 1.0.0)priority: — Mandatory. Importance level: critical, high, medium, or low. Used by corpus gap reports and backlog tooling to surface work items. Never omit.---
name: <skill-name>
description: <what this skill does — REQUIRED, non-empty>
version: 1.0.0
priority: medium
---
# <Skill Name>
## Trigger Phrases
Activate this skill when the user says:
- "<phrase 1>"
- "<phrase 2>"
- "<phrase 3>"
## Input
This skill expects:
- <input requirement 1>
- <input requirement 2>
## Execution Process
1. <Step 1>
2. <Step 2>
3. <Step 3>
## Output
This skill produces:
- <output 1>
- <output 2>
## Examples
### Example 1: <scenario>
**User**: "<example trigger>"
**Result**: <what happens>
### Example 2: <scenario>
**User**: "<example trigger>"
**Result**: <what happens>
If the skill needs supporting documentation:
# Create reference files
touch <target>/skills/<name>/references/style-guide.md
touch <target>/skills/<name>/references/validation-rules.md
The CLI tool automatically updates the manifest. Verify:
{
"skills": ["existing-skill", "<new-skill>"]
}
Skill Created: <name>
─────────────────────
Location: <target>/skills/<name>/
Created:
✓ SKILL.md
✓ references/
Manifest updated: <target>/manifest.json
Next Steps:
1. Edit SKILL.md to define trigger phrases
2. Add execution process details
3. Create reference materials (if needed)
4. Test with natural language triggers
# Create skill in addon
/devkit-create-skill code-formatter --to aiwg-utils
# Create skill with interactive guidance
/devkit-create-skill voice-apply --to voice-framework --interactive
# Create skill in framework
/devkit-create-skill requirement-tracer --to sdlc-complete
data-ai
Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.
data-ai
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
testing
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
data-ai
Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.