Installable skillMIT

SlashCommandCreator Skill

Autonomous meta-skill for creating high-quality custom slash commands using 5-phase workflow with multi-agent validation and quality gates. Use when user requests new slash command, reusable prompt automation, or wants to convert repetitive workflows into documented commands.

BY rjmurilloUPDATED Oct 27, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
name: slashcommandcreator
description: Autonomous meta-skill for creating high-quality custom slash commands using 5-phase workflow with multi-agent validation and quality gates. Use when user requests new slash command, reusable prompt automation, or wants to convert repetitive workflows into documented commands.
version: 1.0.0
license: MIT
model: claude-opus-4-6
trigger: SlashCommandCreator
---

# SlashCommandCreator Skill

## Purpose

Create production-ready custom slash commands following ai-agents quality standards.

## Triggers

- `create slash command for [purpose]`
- `SlashCommandCreator: [description]`
- `design slash command that [does something]`

## When to Use

- User requests "create slash command for [purpose]"
- Repetitive prompts identified in workflow
- Converting manual workflows to automation
- Need reusable, documented command patterns

## 5-Phase Workflow

### Phase 1: Discovery & Analysis

**Agent Mode**: Analyst

**Tasks**:

1. Clarify user intent: What prompt is being repeated?
2. Search existing commands: `ls .claude/commands/**/*.md`
3. Decision: Slash command vs skill (see decision matrix in CLAUDE.md)
4. Apply 11 thinking models from skillcreator framework
5. Document findings in `.agents/analysis/slashcommand-[name]-analysis.md`

**Deliverable**: Analysis document with recommendation

### Phase 2: Design

**Agent Mode**: Architect

**Tasks**:

1. Command naming (namespace conventions)
2. Argument design:
   - Simple commands: use `$ARGUMENTS`
   - Complex commands: use `$1`, `$2`, `$3` (positional)
3. Frontmatter schema:
   - `description` (trigger-based per creator-001)
   - `argument-hint` (if using arguments)
   - `allowed-tools` (if using bash commands with `!` or file references with `@`)
   - `model` (opus for complex reasoning)
   - `disable-model-invocation` (if pure prompt template)
4. Dynamic context evaluation:
   - Bash execution (`!git log --oneline -5`)
   - File references (`@.agents/HANDOFF.md`)
5. Extended thinking evaluation:
   - Add `ultrathink` keyword for complex reasoning (>5 steps)
   - Token budget consideration (<31,999 tokens)

**Deliverable**: Design specification with frontmatter + prompt

### Phase 3: Multi-Agent Validation

**Agent Mode**: Orchestrator (coordinates 4 agents)

**Agents**:

1. **Security**:
   - Review `allowed-tools` constraints
   - Flag overly permissive wildcards
   - Verify bash commands are safe

2. **Architect**:
   - Check for duplication (similar existing commands)
   - Verify appropriate scope (not too broad/narrow)
   - Validate namespace conventions

3. **Independent-Thinker**:
   - Challenge necessity: Is this really needed?
   - Propose alternatives
   - Question assumptions

4. **Critic**:
   - Frontmatter completeness check
   - Trigger-based description validation
   - Argument-hint clarity

**Unanimous Approval Required**: All 4 agents must approve.

<!-- WHY: Ensures no single agent dimension (security, scope, necessity, completeness)
     is overlooked. Prevents security vulnerabilities from passing due to focus on
     functionality alone. Pattern proven by skillcreator 3.2.0 multi-agent synthesis. -->

**Invocation Pattern**:

```python
# Security review
Task(subagent_type="security", prompt="Review allowed-tools for command: [spec]")

# Architecture review
Task(subagent_type="architect", prompt="Check for duplication: [spec]")

# Challenge necessity
Task(subagent_type="independent-thinker", prompt="Is this command truly needed? [spec]")

# Frontmatter completeness
Task(subagent_type="critic", prompt="Validate frontmatter completeness: [spec]")
```

**Deliverable**: Validation report with approvals or revision requests

### Phase 4: Implementation

**Agent Mode**: Implementer

**Tasks**:

1. Run `python3 .claude/skills/slashcommandcreator/scripts/new_slash_command.py`
2. Create `.claude/commands/[namespace]/[command].md`
3. Write frontmatter + prompt body
4. Test invocation with sample arguments
5. Update command catalog (if exists)

**Deliverable**: Working slash command file

### Phase 5: Quality Gates (Automatic)

**Agent Mode**: Implementer (automatic validation)

**Tasks**:

1. Run `python3 .claude/skills/slashcommandcreator/scripts/validate_slash_command.py --path [file]`
2. Fix violations if any
3. Re-run validation until exit code 0
4. Commit with conventional commit message

**Deliverable**: Validated slash command ready for use

## Invocation Examples

```text
SlashCommandCreator: create command for exporting Forgetful memories to JSON

SlashCommandCreator: design slash command for running security audit

create slash command that summarizes recent PR comments
```

## Decision Matrix: Slash Command vs Skill

**Use Slash Command When**:

- Prompt is <200 lines
- No multi-step conditional logic
- Simple argument substitution
- No external script orchestration

**Use Skill When**:

- Prompt is >200 lines
- Multi-agent coordination required
- Complex scripting logic
- Requires dedicated tests

## Verification/Success Criteria

Before marking complete:

- [ ] Frontmatter has `description` (trigger-based)
- [ ] Frontmatter has `argument-hint` (if uses arguments)
- [ ] Frontmatter has `allowed-tools` (if uses bash/file refs)
- [ ] No overly permissive wildcards in `allowed-tools`
- [ ] Description follows trigger-based pattern (creator-001)
- [ ] File is <200 lines (or converted to skill)
- [ ] Passes `markdownlint-cli2` validation
- [ ] Passes `validate_slash_command.py` validation
- [ ] Tested with sample arguments
- [ ] Committed with conventional commit message

**Success Criteria:**

| Metric | Target |
|--------|--------|
| Validation | Exit code 0 from validate_slash_command.py |
| Testing | Command runs without errors with sample arguments |
| Documentation | Description clearly explains when to use command |
| Security | All bash/file refs have explicit allowed-tools entries |

## Anti-Patterns

| Avoid | Why | Instead |
|-------|-----|---------|
| Creating commands > 200 lines | Too complex for slash command format | Convert to a skill instead |
| Overly permissive `allowed-tools` wildcards | Security risk | List specific tools needed |
| Skipping multi-agent validation | Miss security, scope, or necessity issues | Run all 4 validation agents |
| Duplicate commands for similar purposes | Confusing discoverability | Check existing commands first |
| Generic description without trigger keywords | Model cannot find the command | Include specific "Use when" phrases |

## Quality Gates Checklist

All checks from Verification section plus:

- [ ] Multi-agent approval (security, architect, independent-thinker, critic)
- [ ] No duplication with existing commands
- [ ] Appropriate scope (not too broad/narrow)
- [ ] Frontmatter completeness validated

## Scripts

### new_slash_command.py

Creates a new slash command from a template.

```bash
python3 .claude/skills/slashcommandcreator/scripts/new_slash_command.py --name <name> --description <desc>
```

### validate_slash_command.py

Validates slash command structure and frontmatter.

```bash
python3 .claude/skills/slashcommandcreator/scripts/validate_slash_command.py <skill-dir>
```

## References

- `.agents/analysis/custom-slash-commands-research.md`
- `.agents/planning/slashcommandcreator-skill-spec.md`
- `.serena/memories/slashcommand-best-practices.md`
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.