Design AI agent tools with clear schemas, descriptions, and error handling that prevent hallucination and token waste.
Works with
Focuses on JSON Schema best practices and description writing that helps LLMs understand tool intent and constraints, not just implementation details
Covers tool validation, explicit error handling patterns, and recovery strategies that prevent silent failures and agent loops
Includes guidance on the Model Context Protocol (MCP) standard for tool interoperability acr
No content available.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionagent-tool-builderExecute the skills CLI command in your project's root directory to begin installation:
Fetches agent-tool-builder from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate agent-tool-builder. Access via /agent-tool-builder in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
0
total installs
0
this week
24.2K
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
24.2K
stars
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
davila7/claude-code-templates
anthropics/claude-code
mblode/agent-skills
github/awesome-copilot
leonxlnx/taste-skill
sickn33/antigravity-awesome-skills
agent-tool-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
agent-tool-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: agent-tool-builder is focused, and the summary matches what you get after install.
agent-tool-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
agent-tool-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: agent-tool-builder is focused, and the summary matches what you get after install.
Useful defaults in agent-tool-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
agent-tool-builder reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for agent-tool-builder matched our evaluation — installs cleanly and behaves as described in the markdown.
We added agent-tool-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 32