Agent skill

Skill Creator

by softspark in softspark/ai-toolkit

Creates new skills from templates via guided workflow. An agent skill from softspark/ai-toolkit.

Apache-2.0Auto-check: notesAgent Workflows

Install Skill Creator

skills CLI
$ npx skills add softspark/ai-toolkit --skill skill-creator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install softspark/ai-toolkit skill-creator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/skills/skill-creator .claude/skills/skill-creator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-creator
GitHub stars
179
Token cost
~2.4k tokens
SKILL.md length
1,004 words
Files
4
Skills in repo
112
Repo updated
First seen
Licence
Apache-2.0

At a glance

Creates new skills from templates via guided workflow. An agent skill from softspark/ai-toolkit.

  • Works in 6 steps: Capture intent -- ask: what should the… → Classify -- task, hybrid, or knowledge?… → Interview -- gather: framework, tools,… → …
  • Tasks that involve Skill authoring
  • SKILL.md covers Workflow, Frontmatter Reference, Classification Guide and Writing Guidelines, plus 7 more sections
  • Runs Python scripts from its folder

What it does

Skill Creator is an agent skill from softspark/ai-toolkit. Creates new skills from templates via guided workflow. Triggers: new skill, create skill, skill scaffold, skill template.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `templates/reasoning-engine/assets/example.json` and `templates/reasoning-engine/search.py`).

It sits in Agent Workflows, covering Skill authoring. The repository describes itself as: Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Skill authoring

Example prompts

  • “Use the skill-creator skill to create new skills from templates via guided workflow. An agent skill from softspark/ai-toolkit”
  • “/skill-creator”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Grep, Glob

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Capture intent -- ask: what should the skill do? Who invokes it?
  2. Classify -- task, hybrid, or knowledge? (see Classification Guide below)
  3. Interview -- gather: framework, tools, scope, output format, constraints
  4. Write SKILL.md -- frontmatter + body, under 500 lines
  5. Create supporting files -- reference/, templates/, scripts/ as needed
  6. Test and iterate -- invoke, observe, refine

What it can do on your machine

Read from SKILL.md and the folder at commit d64db2b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash
    • Grep
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • code.claude.com
    • agentskills.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Creator loads about 2.4k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 1,004 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Grep, Glob

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from softspark/ai-toolkit at commit d64db2b, republished under its Apache-2.0 licence (© softspark). 1,004 words, ~2,381 tokens.

Download SKILL.mdSave it as .claude/skills/skill-creator/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
skill-creator
description
Creates new skills from templates via guided workflow. Triggers: new skill, create skill, skill scaffold, skill template.
allowed-tools
Read, Write, Edit, Bash, Grep, Glob
effort
high
disable-model-invocation
true
argument-hint
[skill name or description]

Skill Creator

$ARGUMENTS

Create a new skill following the Agent Skills standard.

Workflow

  1. Capture intent -- ask: what should the skill do? Who invokes it?
  2. Classify -- task, hybrid, or knowledge? (see Classification Guide below)
  3. Interview -- gather: framework, tools, scope, output format, constraints
  4. Write SKILL.md -- frontmatter + body, under 500 lines
  5. Create supporting files -- reference/, templates/, scripts/ as needed
  6. Test and iterate -- invoke, observe, refine

Frontmatter Reference

This table describes Claude Code skill fields. ai-toolkit requires name and description for portable catalog entries even though Claude Code can infer them.

Only set model or effort when the skill deliberately needs an approved override. Omission inherits the session choice in Claude Code. Check supported effort levels for the selected model; these fields do not configure Codex or Copilot reasoning. Refer to kb/reference/model-compatibility.md for the current client/API boundaries and verify actual account availability before pinning IDs.

FieldTypeRequiredDescription
namestringyesLowercase, hyphens only, max 64 chars
descriptionstringyesThird person, max 1024 chars, include key terms
effortlow/medium/high/xhigh/maxnoOverride effort for the invoking turn; supported levels depend on the model
disable-model-invocationboolnotrue = only user can trigger (task skills)
user-invocableboolnofalse = knowledge skill, Claude auto-loads
allowed-toolsstring or YAML listnoPre-approve tools for the invoking turn; does not restrict the available tools
disallowed-toolsstring or YAML listnoRemove tools for the invoking turn
modelstringnoOverride the model for the invoking turn, or use inherit
contextstringnofork to run in isolated subagent
agentstringnoAgent type to use when context: fork
argument-hintstringnoShown in autocomplete, e.g. "[target]"
argumentsstring or YAML listnoNamed positional arguments, substituted as $name in the body
when_to_usestringnoAdditional trigger context appended to the description
backgroundboolnoWith context: fork, false waits for the subagent result; default true
hooksobjectnoHooks registered at invocation and retained for the session; once limits a handler to one run
pathsstring or YAML listnoFile globs limiting automatic activation
shellbash/powershellnoShell for dynamic context commands
metadataobjectnoCustom metadata for external tooling
licensestringnoSkill license
compatibilitystringnoRuntime requirements, up to 500 characters

disallowedTools, maxTurns, memory, and skills belong to agent frontmatter, not skill frontmatter. Put them on the agent referenced by a forked skill. Direct claude.ai skill uploads and the Skills API accept only name, description, license, compatibility, metadata, and allowed-tools; Claude Code plugin skills support the full table. See the official skill reference (reviewed 2026-09-23).

Classification Guide

TypeWhen to useKey fields
TaskUser-triggered actions with side effects (build, deploy, commit)disable-model-invocation: true, allowed-tools
HybridBoth user and Claude invoke (review, analyze)defaults
KnowledgeDomain patterns Claude auto-loads (clean-code, api-patterns)user-invocable: false

Writing Guidelines

  • Description: third person ("Generates...", "Provides..."), min 50 chars, include searchable key terms and a trigger hint (e.g., "Use when..."). Short descriptions cause over-triggering — adjacent skills fight for the same query.
  • Name: lowercase, hyphens, max 64 chars -- match the directory name
  • Length: SKILL.md under 500 lines; use reference/ for overflow
  • Be concise: Claude is smart -- give structure, not lectures
  • Degrees of freedom: be specific on format/constraints, flexible on implementation
  • File references: max 1 level deep (e.g., reference/details.md)
  • Use $ARGUMENTS: place it early so user input is visible
  • Tables over prose: for options, patterns, mappings
Show full SKILL.md (444 more words)Show less

Mandatory Sections (meta-architect audit criteria)

Every SKILL.md must contain all five, or it will lower the toolkit quality score:

  1. Description ≥50 chars with trigger hint in frontmatter
  2. At least one concrete example — fenced code block or ## Example section
  3. Hard rules using uppercase markers: MUST, NEVER, CRITICAL, MANDATORY, or DO NOT
  4. "When NOT to Use" section — list 2-3 adjacent skills and the boundary between them
  5. Under 500 lines — split into reference/ if needed

These map directly to the mutation strategies in meta-architect.md: add_example, add_constraint, add_edge_case, restructure.

Rules vs Gotchas — different semantic buckets

Split the "hard rules" criterion into two sections when both apply:

  • ## Rules — prescriptive process constraints (always-true MUST / NEVER): "MUST form a testable hypothesis before changing code", "NEVER force-push main". Required in every skill.
  • ## Gotchas — environment-specific traps the agent would miss without being told, taken from Anthropic's best practices. Example from their docs: "The users table uses soft deletes. Queries must include WHERE deleted_at IS NULL or results will include deactivated accounts." Add this section only when real domain traps exist — do not pad with a (none) placeholder.

Directory Structure

skill-name/
  SKILL.md              # Main instructions (required, <500 lines)
  reference/            # Detailed docs (loaded on-demand)
  templates/            # Reusable templates for output
  scripts/              # Executable helper scripts

Only create subdirectories when the skill needs them. Most skills are a single SKILL.md.

SKILL.md Template

markdown
---
name: {name}
description: "{Third-person description, min 50 chars, with trigger hint like 'Use when...'}"
argument-hint: "[hint]"
allowed-tools: Read, Grep, Glob
---

# {Title}

$ARGUMENTS

{One-line purpose statement.}

## Usage

\`\`\`
/{name} [arguments]
\`\`\`

## What This Command Does

1. **Step one**
2. **Step two**
3. **Step three**

## Example

\`\`\`
/{name} example-argument
\`\`\`

{Expected observable behavior.}

## Rules

- **MUST** {non-negotiable rule 1}
- **NEVER** {forbidden action}
- **CRITICAL**: {safety constraint}

## Gotchas

- {environment-specific trap the agent would miss — concrete, not general}
- {non-obvious behavior of a tool, API, or data layout}

## When NOT to Use

- For {adjacent use case} -- use `/{other-skill}` instead
- For {another case} -- use `/{another-skill}`
- If {precondition} is not met

Leave out ## Gotchas entirely when the skill has no domain-specific traps — it is not mandatory, and a stub with nothing concrete is worse than no section.

Quality Checklist

Before finalizing, verify:

  • Description ≥50 chars, third-person, with trigger hint
  • At least one concrete code-fenced example
  • ## Rules section with prescriptive MUST / NEVER / CRITICAL / MANDATORY
  • ## Gotchas section when the domain has real environment-specific traps (otherwise omit)
  • ## When NOT to Use section naming 2-3 adjacent skills
  • SKILL.md under 500 lines
  • No time-sensitive information (versions, dates)
  • Consistent terminology throughout
  • File references max 1 level deep
  • Workflows have numbered steps
  • Frontmatter fields match classification type
  • $ARGUMENTS is present for task/hybrid skills
  • allowed-tools is minimal (principle of least privilege)

Evaluation

After creating the skill, test it:

  1. Invoke with a representative prompt
  2. Check output matches expected structure
  3. Verify dynamic injection ($ARGUMENTS) works
  4. Test with varied argument patterns
  5. Confirm allowed-tools are sufficient but not excessive
  6. Iterate: tighten instructions where output diverges

Installation

After creating the skill:

  1. Verify the skill directory exists under app/skills/{name}/
  2. Update skills-catalog.md if it exists
  3. Update ARCHITECTURE.md skill counts if referenced
  4. Run validate.sh if available
  5. Run evaluate-skills.sh if available

Common Mistakes

MistakeFix
Description too vagueAdd specific terms: "Python", "REST API", "migration"
SKILL.md too longMove details to reference/ subdirectory
Missing $ARGUMENTSAdd after the H1 heading for task/hybrid skills
Over-specifying stepsGive structure, let Claude fill details
Wrong classificationTask = side effects, Knowledge = patterns, Hybrid = both

© softspark, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in app/skills/skill-creator of softspark/ai-toolkit.

  • SKILL.md
  • templates/dashboard/index.html
  • templates/reasoning-engine/assets/example.json
  • templates/reasoning-engine/search.py

Open the folder on GitHubat commit d64db2b

Compare with similar skills

Skill Creator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Creator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Creator this skillsoftspark/ai-toolkit179—~2.4kAutomated safety check: NotesApache-2.0
Skill CreatorAzure/azqr79489 repos~8.2kAutomated safety check: PassApache-2.0
Claude Code Skill Developer Guidediet103/claude-code-infrastructure-showcase10k10 repos~3.5kAutomated safety check: PassMIT
Darwin Skill Optimizeralchaincyf/darwin-skill6.2k1 repos~4.7kAutomated safety check: PassMIT
Claude Code Command Developmentanthropics/claude-plugins-official37k10 repos~4.8kAutomated safety check: PassApache-2.0
Claude Code Plugin Structureanthropics/claude-plugins-official37k10 repos~3.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Skill Creator

What does Skill Creator do?

Creates new skills from templates via guided workflow. An agent skill from softspark/ai-toolkit. Skill Creator is an agent skill from softspark/ai-toolkit. Creates new skills from templates via guided workflow.

When should I use Skill Creator?

Skill Creator fits situations like: tasks that involve Skill authoring.

How do I install Skill Creator in Claude Code?

Run `npx skills add softspark/ai-toolkit --skill skill-creator -a claude-code`. Or copy the skill folder (app/skills/skill-creator in softspark/ai-toolkit) into .claude/skills/skill-creator in your project. Claude Code loads it when a task matches its description.

How do I install Skill Creator in Codex?

Run `npx skills add softspark/ai-toolkit --skill skill-creator -a codex`. Or copy the skill folder (app/skills/skill-creator in softspark/ai-toolkit) into .agents/skills/skill-creator in your project. Codex loads it when a task matches its description.

Can I use Skill Creator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add softspark/ai-toolkit --skill skill-creator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-creator, .gemini/skills/skill-creator, .github/skills/skill-creator and .opencode/skills/skill-creator in your project.

What does Skill Creator need to run?

Going by SKILL.md and its folder, Skill Creator needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Grep, Glob.

Does Skill Creator access the network?

SKILL.md names 2 domains. As links in the text: code.claude.com and agentskills.io. This is read from the text; nothing was executed.

Is Skill Creator safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Skill Creator use?

Skill Creator is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Creator use?

About 2.4k tokens (SKILL.md is roughly 9.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Creator?

Skills that share tags, products or a category with Skill Creator: Skill Creator (Azure/azqr, 794 stars), Claude Code Skill Developer Guide (diet103/claude-code-infrastructure-showcase, 10k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars) and Claude Code Command Development (anthropics/claude-plugins-official, 37k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Creator?

softspark (a GitHub user) maintains it in softspark/ai-toolkit, which has 179 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on October 7, 2026.

Source: softspark/ai-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.