agentic/code/addons/aiwg-dev/skills/devkit-create-command/SKILL.md
Create a new slash command with AI-guided behavior definition
npx skillsauth add jmagly/aiwg devkit-create-commandInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Skill access pattern (post-kernel-pivot, 2026.5+)
Skill names referenced in this document are AIWG skills, not slash commands. Most are not kernel-listed and cannot be invoked as
/skill-nameby the platform. Reach them via:aiwg discover "<capability>" aiwg show skill <name>Only kernel-listed skills (
aiwg-doctor,aiwg-refresh,aiwg-status,aiwg-help,use,steward) are directly invokable as slash commands. See skill-discovery rule.
Create a new slash command with AI assistance to define arguments, behavior, and output.
/devkit-create-command <name> --to <target> [options]
| Argument | Required | Description | |----------|----------|-------------| | name | Yes | Command name (kebab-case recommended) |
| Option | Description | |--------|-------------| | --to | Target addon or framework |
| Option | Description | |--------|-------------| | --template | Command template: utility (default), transformation, orchestration | | --interactive | Enable interactive mode with guided questions |
Simple operation, single action command.
lint-check, deploy-statusContent/code transformation pipeline with input/output handling.
convert-format, refactor-codeMulti-agent workflow coordination with phases and parallel execution.
flow-deploy-to-production, flow-security-reviewWhen --interactive is specified, I will ask:
# Simple utility command
/devkit-create-command lint-fix --to aiwg-utils
# Transformation pipeline
/devkit-create-command convert-docs --to sdlc-complete --template transformation
# Orchestration workflow
/devkit-create-command deploy-all --to sdlc-complete --template orchestration --interactive
<target>/commands/<name>.md
---
name: command-name
description: Command description
args: [arg1] [--option value --guidance "text"]
---
# Command Title
[Description]
## Usage
[How to invoke]
## Arguments
[Input parameters]
## Options
[Configuration flags]
## Execution
[Step-by-step behavior]
## Output
[What to expect]
aiwg add-command <name> --to <target> --template <type>
devkit-create-agent - Create an agentdevkit-create-skill - Create an auto-triggered skilldevkit-validate - Validate command structuredata-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`.