A curated collection of Agent Skills by Montimage. Supercharge your AI agents with specialized workflows for development tasks. Works with Claude Code, Codex, OpenClaw, and other AI tools.
Inspect a git branch against main, summarize its commits, diff, merge status, and staleness, then emit a cleanup action plan. Use when reviewing or cleaning up one branch. Don't use for repo audits, multi-branch sweeps, or PR code review.
Configure pre-commit hooks and GitHub Actions for project quality gates. Use when setting up CI/CD automation. Don't use for application features, release management, or documentation.
Generate project documentation structure and practical guides. Use when organizing READMEs or adding API docs. Don't use for code changes, CI setup, or branch management.
Generate cross-platform install scripts with environment detection, verification, rollback, and docs. Use when automating installs across Windows, Linux, or macOS. Don't use for feature code, CI setup, or docs-only requests.
Prepare an end-to-end OSS release flow covering audit, branches, docs, README, publications, and optional Pages. Use when coordinating full OSS prep. Don't use for audit-only checks, single-doc edits, or marketing sites.
Prepare a repository for open-source release with standard files, GitHub templates, and an eight-section readiness audit. Use when making a project public. Don't use for marketing pages, closed code, or docs-only edits.
Audit a skill directory for security risks and provide an install verdict. Use when reviewing third-party skills before installation. Don't use for application code review, runtime vulnerability scans, or generic dependency audits.
Audit npm, Python, Docker, and GitHub Actions supply-chain controls. Use when hardening dependency workflows. Don't use for runtime vulnerabilities, secret scanning, or generic dependency updates.
Improve test coverage by finding untested branches, error paths, and edge cases. Use when measuring or strengthening a project's tests. Don't use for production debugging, code review, or feature implementation.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: