Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Creates command files for the Claude Code framework. Commands are user-facing shortcuts that delegate to skills.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Create command files that delegate to skills. Commands live in .claude/commands/ and are auto-discovered by Claude Code as /commandname.
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.
Before proceeding with creation, run the ecosystem companion check:
companion-check.cjs from .claude/lib/creators/companion-check.cjscheckCompanions("command", "{command-name}") to identify companion artifactsThis step is informational (does not block creation) but ensures the full artifact ecosystem is considered.
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
// 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: ${args.skill}`);
}
const commandPath = `.claude/commands/${commandName}.md`;
const description = args.description || `Invoke the ${args.skill} skill`;
const content = `---
description: ${description}
disable-model-invocation: true
---
Invoke the ${args.skill} skill and follow it exactly as presented to you
`;
await writeFile(commandPath, content);
const catalogPath = '.claude/context/artifacts/catalogs/command-catalog.md';
const catalogContent = await readFile(catalogPath, 'utf-8');
// Add entry to catalog
const newEntry = `| /${commandName} | ${description} | ${args.skill} |`;
// Insert alphabetically
const {
runIntegrationChecklist,
queueCrossCreatorReview,
} = require('.claude/lib/creators/creator-commons.cjs');
await runIntegrationChecklist('command', commandPath);
await queueCrossCreatorReview('command', commandPath, {
artifactName: commandName,
createdBy: 'command-creator',
});
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:
/commandnameSkill({
skill: 'command-creator',
args: '--name tdd --skill tdd --description "Test-driven development workflow"',
});
Skill({
skill: 'command-creator',
args: '--name debug --skill debugging --description "Systematic debugging workflow"',
});
skill-creator - Create the skills that commands delegate toskill-updater - Update the underlying skill a command delegates toBefore starting:
Read .claude/context/memory/learnings.md
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: If it's not in memory, it didn't happen.
This skill is part of the Creator Ecosystem. When research uncovers gaps, trigger the appropriate companion creator:
| Gap Discovered | Required Artifact | Creator to Invoke | When |
|---|---|---|---|
| Domain knowledge needs a reusable skill | skill | Skill({ skill: 'skill-creator' }) | Gap is a full skill domain |
| Existing skill has incomplete coverage | skill update | Skill({ skill: 'skill-updater' }) | Close skill exists but incomplete |
| Capability needs a dedicated agent | agent | Skill({ skill: 'agent-creator' }) | Agent to own the capability |
| Existing agent needs capability update | agent update | Skill({ skill: 'agent-updater' }) | Close agent exists but incomplete |
| Domain needs code/project scaffolding | template | Skill({ skill: 'template-creator' }) | Reusable code patterns needed |
| Behavior needs pre/post execution guards | hook | Skill({ skill: 'hook-creator' }) | Enforcement behavior required |
| Process needs multi-phase orchestration | workflow | Skill({ skill: 'workflow-creator' }) | Multi-step coordination needed |
| Artifact needs structured I/O validation | schema | Skill({ skill: 'schema-creator' }) | JSON schema for artifact I/O |
| User interaction needs a slash command | command | Skill({ skill: 'command-creator' }) | User-facing shortcut needed |
| Repeated logic needs a reusable CLI tool | tool | Skill({ skill: 'tool-creator' }) | CLI utility needed |
| Narrow/single-artifact capability only | inline | Document within this artifact only | Too specific to generalize |
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 pathsskill-creator for capability packaging and assignmenttool-creator for executable automation surfaceshook-creator for enforcement and guardrailsrule-creator and semgrep-rule-creator for policy and static checkstemplate-creator for standardized scaffoldsworkflow-creator for orchestration and phase gatingcommand-creator for user/operator command UXBefore completion, verify all relevant handshakes:
.claude/CLAUDE.md and related routing docs.validate-integration.cjs passes for the created artifact.For new patterns, templates, or workflows, research is mandatory:
mcp__Exa__web_search_exa({ query: '<topic> 2025 best practices' })mcp__Exa__get_code_context_exa({ query: '<topic> implementation examples' })mcp__Exa__web_search_exa({ query: 'site:arxiv.org <topic> 2024 2025' })WebFetch({ url: 'https://arxiv.org/search/?query=<topic>&searchtype=all&start=0' })arXiv is mandatory (not fallback) when topic involves: AI agents, LLM evaluation, orchestration, memory/RAG, security, static analysis, or any emerging methodology.
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概要と使いどころ
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
日本語の概要は準備中です。原文の説明を表示しています。
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
日本語の概要は準備中です。原文の説明を表示しています。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
日本語の概要は準備中です。原文の説明を表示しています。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
日本語の概要は準備中です。原文の説明を表示しています。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
日本語の概要は準備中です。原文の説明を表示しています。