Create Agent Skills
ListedGenerates new, detailed agent skills based on provided descriptions and desired functionalities for enhanced agent capabilities.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add marcusgoll/spec-flow --skill create-agent-skills -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
marcusgoll
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No credential access: failed
Touches credential material in 12 places.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
What it found (3 of 12)
- .claude/skills/create-agent-skills/references/api-security.md:74environment file outside the project
grep -q "YOURSERVICE_MAIN_API_KEY=" ~/.claude/.env 2>/dev/null || \ - .claude/skills/create-agent-skills/references/api-security.md:75environment file outside the project
echo -e "\n# Your Service - Main profile\nYOURSERVICE_MAIN_API_KEY=\nYOURSERVICE_MAIN_ACCOUNT_ID=" >> ~/.claude/.env - .claude/skills/create-agent-skills/references/api-security.md:77environment file outside the project
echo "Added credential placeholders to ~/.claude/.env - user needs to fill them in"
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned marcusgoll/spec-flow at 70e92795df.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 70e92795df
- Scanned
- 22 files, 8,074 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill, marcusgoll-create-agent-skills, allows you to define and manage skills for AI agents. It provides a structured way to specify what an agent can do, enabling more predictable and controllable agent behavior. The skill facilitates the creation of reusable components that encapsulate specific functionalities within your AI agents.
When to use it
- Defining Agent Capabilities: When you need to clearly outline the actions and abilities an AI agent should possess for a particular task.
- Creating Reusable Components: To build modular skills that can be incorporated into multiple agents or workflows, promoting code reuse and consistency.
- Standardizing Skill Definitions: For teams building AI agents, this skill helps establish a common language and structure for defining what an agent is capable of doing.
- Improving Agent Predictability: By explicitly defining skills, you can better anticipate and control the actions taken by your AI agents.
Key capabilities
- Skill definition
- Reusable components
- Structured skill specification
- Modular design
Example prompts
- "Define a 'summarize_article' skill for my agent."
- "Create an agent skill to translate text between English and Spanish."
- "Show me the defined skills for this agent."
Tips & gotchas
This skill requires a foundational understanding of AI agent architecture and how skills are integrated into workflows. Ensure your agent framework supports custom skill definitions for optimal results.