skill-creator
Create, edit, improve, or audit skills for SwarmClaw agents.
Skill by swarmclawai
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/swarmclawai-skill-creator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, writing, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-creator
What's inside
- Skill name
skill-creator- Description
- Create, edit, improve, or audit skills for SwarmClaw agents. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory. Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".
- License
- MIT
- Instructions
- 144 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- files: referenced but missing: scripts/rotate_pdf.py, references/schema.md
Files (3)
- SKILL.md
- init_skill.py · scripts/
- quick_validate.py · scripts/
SKILL.md (first lines)
# Skill Creator
Guidance for creating effective skills that extend SwarmClaw agent capabilities.
## About Skills
Skills are modular, self-contained packages that provide specialized knowledge, workflows, and tools. They transform a general-purpose agent into a specialized one equipped with procedural knowledge that no model can fully possess.
### What Skills Provide
1. Specialized workflows — multi-step procedures for specific domains
2. Tool integrations — instructions for working with specific file formats or APIs
3. Domain expertise — company-specific knowledge, schemas, business logic
4. Bundled resources — scripts, references, and assets for complex and repetitive tasks
## Core Principles
### Concise is Key
The context window is a shared resource. Only add context the agent doesn't already have. Challenge each piece of information: "Does the agent really need this explanation?" Prefer concise examples over verbose explanations.
### Set Appropriate Degrees of Freedom
- **High freedom** (text instructions): Multiple valid approaches, context-dependent decisions
- **Medium freedom** (pseudocode/parameterized scripts): Preferred pattern exists, some variation OK
- **Low freedom** (specific scripts): Fragile operations, consistency critical, exact sequence required
### Anatomy of a Skill
```
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter (name + description, required)
│ └── Markdown instructions (required)
└── Bundled Resources (optional)
├── scripts/ — Executable code (Python/Bash/etc.)
├── references/ — Documentation loaded into context as needed
└── assets/ — Files used in output (templates, icons, fonts)
```
#### Frontmatter
- `name`: Skill name (hyphen-case, lowercase)
- `description`: Primary triggering mechanism. Include what the skill does AND when to use it. All "when to use" info goes here — not in the body.
#### Scripts (`scripts/`)
Executable code for tasks that require deterministic reliability or are repeatedly rewritten. Token efficient and may be executed without loading into context.
#### References (`references/`)
Documentation loaded as needed to inform the agent's process. Keep only essential instructions in SKILL.md; move detailed reference material here.
#### Assets (`assets/`)
Files not loaded into context but used in output (templates, images, fonts). Separates output resources from documentation.
### What NOT to Include
- README.md, CHANGELOG.md, INSTALLATION_GUIDE.md, or other auxiliary docs
- Setup/testing procedures or user-facing documentation
- Information the agent already knows from general training
## Skill Creation Process
1. Understand the skill with concrete examples
2. Plan reusable contents (scripts, references, assets)
3. Initialize the skill
4. Edit the skill (implement resources, write SKILL.md)
5. Validate the skill
6. Iterate based on real usage
### Skill Naming
- Lowercase letters, digits, and hyphens only (hyphen-case)
- Under 64 characters
- Prefer short, verb-led phrases describing the action
- Name the skill folder exactly after the skill name
### Step 1: Understanding with Concrete Examples
Ask the user clarifying questions:
- What functionality should the skill support?
- Can you give examples of how it would be used?
- What would a user say that should trigger this skill?
### Step 2: Planning Reusable Contents
Analyze each example to identify what scripts, references, and assets would be helpful:
- **Repeated code** → `scripts/` (e.g., `scripts/rotate_pdf.py`)
- **Boilerplate** → `assets/` (e.g., `assets/hello-world/` template)
- **Domain knowledge** → `references/` (e.g., `references/schema.md`)
### Step 3: Initializing the Skill
Use the bundled init script to create the directory structure:
```bash
python3 {baseDir}/scripts/init_skill.py <skill-name> --path <output-directory> [--resources scripts,references,assets] [--examples]
```
Examples:
```bash
python3 {baseDir}/scripts/init_skill.py my-skill --path skills
python3 {baseDir}/scripts/init_skill.py my-skill --path skills --resources scripts,references
```
### Step 4: Edit the Skill
Write instructions that would help another agent instance execute tasks effectively. Include information that is beneficial and non-obvious.
**Writing guidelines:** Use imperative/infinitive form. Keep SKILL.md body under 500 lines.
**Frontmatter description:** Include both what the skill does and specific triggers for when to use it. This is the primary mechanism for skill selection.
### Step 5: Validate the SkillFrom swarmclawai/swarmclaw, MIT.
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Signals
- Stars
- 697
- Forks
- 140
- Open issues
- 12
- Last commit (this folder)
- Mar 17, 2026 (7 months ago)
- Last release
- Jun 30, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/swarmclawai/swarmclaw
- Website
- www.swarmclaw.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
skill-creator. Agent Mart. https://agentmart.dev/skills/swarmclawai-skill-creator (last updated 2026-10-24)