Command Creator

Command Creator

Create command files that delegate to skills. Commands live in .claude/commands/ and are auto-discovered by Claude Code as /commandname.

Step 0: Check for Existing Command

Before creating, check if command already exists:

test -f .claude/commands/<command-name>.md && echo "EXISTS" || echo "NEW"

If EXISTS → use Read to inspect the current command file, then Edit to apply changes directly. Run the post-creation integration steps (Step 4) after updating.

If NEW → continue with Step 0.5.

Step 0.5: Companion Check

Before proceeding with creation, run the ecosystem companion check:

1. Use companion-check.cjs from .claude/lib/creators/companion-check.cjs
2. Call checkCompanions("command", "{command-name}") to identify companion artifacts
3. Review the companion checklist — note which required/recommended companions are missing
4. Plan to create or verify missing companions after this artifact is complete
5. Include companion findings in post-creation integration notes

This step is informational (does not block creation) but ensures the full artifact ecosystem is considered.

When to Use

• Creating user-facing shortcuts to skills
• Simplifying complex skill invocations
• Providing memorable command names for common workflows

Command File Format

All commands use this pattern:

---
description: Brief description of what this command does
disable-model-invocation: true
---

Invoke the {skill-name} skill and follow it exactly as presented to you

Example: /tdd command

---
description: Test-driven development workflow with Iron Laws
disable-model-invocation: true
---

Invoke the tdd skill and follow it exactly as presented to you

Creation Workflow

Step 1: Validate Inputs

// Validate command name (lowercase, hyphens only)
const commandName = args.name.toLowerCase().replace(/[^a-z0-9-]/g, '-');

// Validate target skill exists
const skillExists = await fileExists(`.claude/skills/**/${args.skill}/SKILL.md`);
if (!skillExists) {
  throw new Error(`Target skill not found: ${args.skill}`);
}

Step 2: Create Command File

const commandPath = `.claude/commands/${commandName}.md`;
const description = args.description || `Invoke the ${args.skill} skill`;

const content = `---
description: ${description}
disable-model-invocation: true
---

Invoke the ${args.skill} skill and follow it exactly as presented to you
`;

await writeFile(commandPath, content);

Step 3: Update Command Catalog

const catalogPath = '.claude/context/artifacts/catalogs/command-catalog.md';
const catalogContent = await readFile(catalogPath, 'utf-8');

// Add entry to catalog
const newEntry = `| /${commandName} | ${description} | ${args.skill} |`;

// Insert alphabetically

Step 4: Run Post-Creation Integration

const {
  runIntegrationChecklist,
  queueCrossCreatorReview,
} = require('.claude/lib/creators/creator-commons.cjs');

await runIntegrationChecklist('command', commandPath);
await queueCrossCreatorReview('command', commandPath, {
  artifactName: commandName,
  createdBy: 'command-creator',
});

Post-Creation Integration

After command creation, run integration checklist:

const {
  runIntegrationChecklist,
  queueCrossCreatorReview,
} = require('.claude/lib/creators/creator-commons.cjs');

// 1. Run integration checklist
const result = await runIntegrationChecklist('command', '.claude/commands/<command-name>.md');

// 2. Queue cross-creator review
await queueCrossCreatorReview('command', '.claude/commands/<command-name>.md', {
  artifactName: '<command-name>',
  createdBy: 'command-creator',
});

// 3. Review impact report
// Check result.mustHave for failures - address before marking complete

Integration verification:

• Command added to command-catalog.md
• Target skill exists and is valid
• Command file has proper YAML frontmatter
• Command is discoverable via /commandname

Usage Examples

Create TDD Command

Skill({
  skill: 'command-creator',
  args: '--name tdd --skill tdd --description "Test-driven development workflow"',
});

Create Debug Command

Skill({
  skill: 'command-creator',
  args: '--name debug --skill debugging --description "Systematic debugging workflow"',
});

Related Skills

• skill-creator - Create the skills that commands delegate to
• skill-updater - Update the underlying skill a command delegates to

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

• New command pattern → .claude/context/memory/learnings.md
• Command creation issue → .claude/context/memory/issues.md
• Delegation decision → .claude/context/memory/decisions.md

ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

Cross-Reference: Creator Ecosystem

This skill is part of the Creator Ecosystem. When research uncovers gaps, trigger the appropriate companion creator:

Ecosystem Alignment Contract (MANDATORY)

This creator skill is part of a coordinated creator ecosystem. Any artifact created here must align with and validate against related creators:

• agent-creator for ownership and execution paths
• skill-creator for capability packaging and assignment
• tool-creator for executable automation surfaces
• hook-creator for enforcement and guardrails
• rule-creator and semgrep-rule-creator for policy and static checks
• template-creator for standardized scaffolds
• workflow-creator for orchestration and phase gating
• command-creator for user/operator command UX

Cross-Creator Handshake (Required)

Before completion, verify all relevant handshakes:

1. Artifact route exists in .claude/CLAUDE.md and related routing docs.
2. Discovery/registry entries are updated (catalog/index/registry as applicable).
3. Companion artifacts are created or explicitly waived with reason.
4. validate-integration.cjs passes for the created artifact.
5. Skill index is regenerated when skill metadata changes.

Research Gate (Exa + arXiv — BOTH MANDATORY)

For new patterns, templates, or workflows, research is mandatory:

1. Use Exa for implementation and ecosystem patterns:
   • mcp__Exa__web_search_exa({ query: '<topic> 2025 best practices' })
   • mcp__Exa__get_code_context_exa({ query: '<topic> implementation examples' })
2. Search arXiv for academic research (mandatory for AI/ML, agents, evaluation, orchestration, memory/RAG, security):
   • Via Exa: mcp__Exa__web_search_exa({ query: 'site:arxiv.org <topic> 2024 2025' })
   • Direct API: WebFetch({ url: 'https://arxiv.org/search/?query=<topic>&searchtype=all&start=0' })
3. Record decisions, constraints, and non-goals in artifact references/docs.
4. Keep updates minimal and avoid overengineering.

arXiv is mandatory (not fallback) when topic involves: AI agents, LLM evaluation, orchestration, memory/RAG, security, static analysis, or any emerging methodology.

Regression-Safe Delivery

• Follow strict RED -> GREEN -> REFACTOR for behavior changes.
• Run targeted tests for changed modules.
• Run lint/format on changed files.
• Keep commits scoped by concern (logic/docs/generated artifacts).