# Add to your Claude Code skills
git clone https://github.com/afonsoft/skillsLast scanned: 8/29/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-08-29T10:51:22.951Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by afonsoft. drawi.o skill. It has 0 GitHub stars.
Yes. skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/afonsoft/skills" and add it to your Claude Code skills directory (see the Installation section above).
skills is primarily written in Shell. It is open-source under afonsoft on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh skills against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
A curated collection of high-performance Agent Skills and hooks designed to enhance AI capabilities across various runtimes (Claude Code, OpenCode, Devin, Cursor, etc.).
This repository provides specialized guidance and tools following the Agent Skills Specification (agentskills.io). Instead of generic prompts, these skills provide structured patterns, constraints, and reference materials that allow agents to perform complex software engineering tasks with production-grade quality.
The skills are organized into four main pillars: Harness Engineering, Code Quality, Extensibility, and MCP Integrations.
Foundation for creating and managing AI agents.
create-agent-harness: The starting point. Use this to bootstrap a complete agent environment (CLAUDE.md, rules, skills) in any repo.create-readme: Professionalizes the repository landing page. Generates evidence-based READMEs and SemVer-compliant CHANGELOGs.observability-and-instrumentation: Once the harness is set, use this to ensure the agent's actions and the application's behavior are visible and diagnosable in production.Ensuring the output meets professional standards.
code-review-and-quality: The primary gatekeeper. Performs multi-axis reviews (correctness, security, performance) before any code is merged.sonarqube-review: The automated auditor. Integrates with SonarQube to identify and fix technical debt and smells systematically.Expanding what the agent can actually do.
building-mcp-servers: The power-user tool. Teaches agents how to build their own Model Context Protocol (MCP) servers to connect to any API or database.drawio-architecture: Visual intelligence. Merges architecture diagram authoring with the official draw.io MCP server for automated system design.Configuring, authenticating, and using external MCP servers across all supported agent platforms.
composio-mcp: Connects AI agents to 1000+ external apps (Gmail, GitHub, Slack, Notion, Linear, Jira) via Composio. CLI-first path (ak_* project key) with MCP fallback (ck_* consumer key via x-consumer-api-key header). Includes multi-platform setup script (handles serverUrl vs url, mcp vs mcpServers, environment vs env across Claude Code/Desktop, Cursor, Devin CLI/Desktop, OpenCode, Antigravity IDE/CLI, OpenClaw), verify script, per-platform config reference, and cross-platform quirks matrix.notebooklm-mcp: Google NotebookLM (Gemini Notebook) integration via the nlm CLI and notebooklm-mcp server. Cookie-based auth for headless servers with three methods (OpenClaw CDP provider preferred, manual cookies.txt file, desktop auto + copy) and multi-platform setup script covering all 8 supported agent platforms. Includes verify, cookie-extraction helper, per-platform config reference, and cross-platform quirks matrix.The fastest way to install and auto-detect your environment.
npx skills add afonsoft/skills
SkillsLLM indexes open-source skills for Claude Code, Codex CLI, and ChatGPT. Sign in with GitHub and submit this repository through Submit a Skill. Submissions are security-scanned before listing.
Awesome Skills discovers open-source SKILL.md skills from GitHub via its Awesome List Import. Each skills/<name>/SKILL.md directory becomes a separate listing with slug afonsoft-skills-<name>. Submit the repository URL through the site's Submit a Skill form:
https://github.com/afonsoft/skillsmain/skillsEach skill's description frontmatter includes afonsoft so the collection is discoverable at awesomeskill.ai/search?q=afonsoft. The Awesome Skills search API matches against skill name and description only (not owner, repo, or tags), so the afonsoft attribution in each description is what makes the search return results.
SkillHub aggregates skills from GitHub sources. Open Sources → Add Source, then use:
afonsoft/skillshttps://github.com/afonsoft/skillsGitHub Repomain/skillsSkillHub imports the collection from this source and lists each valid SKILL.md directory in its marketplace.
SKILL.md and follow the lapped process).MIT - See LICENSE.
skillxp observes skill loading behavior across harnesses (Claude Code, Codex CLI, Antigravity). Stage a skill in a fresh fixture, invoke the harness headlessly, and see what actually reached the model with transcript evidence. Install via brew install agent-ecosystem/tap/skillxp or npm install -g skillxp. Use skillxp harnesses to list supported platforms and skillxp observe -harness <name> -install ./my-skill ... to trace skill activation and phrase loading.
Browse all available skills at skills.sh.