by affaan-m
The configure-ecc skill is an interactive installer for Everything Claude Code (ECC). It guides selective installation of skills and rules, helps choose user-level or project-level destinations, verifies target paths, and can optimize installed files after setup. Ideal for a reliable configure-ecc guide.
by mattpocock
setup-matt-pocock-skills prepares a repo for Matt Pocock’s engineering skills by detecting the issue tracker, mapping triage labels, and locating domain docs before writing the `## Agent skills` block. Use this setup and discovery skill when onboarding a new repo, switching repos, or refreshing agent context for `AGENTS.md`, `CLAUDE.md`, and `docs/agents/`.
by addyosmani
using-agent-skills is the meta-skill for routing work to the right Agent Skills workflow. Use it at session start or when task phase changes to choose the right downstream skill for Skill Discovery, planning, implementation, testing, debugging, review, or release.
by vercel-labs
find-skills helps users discover installable skills, refine search queries, and choose the right Skills CLI install path.
by duckdb
install-duckdb helps install or update DuckDB extensions from the CLI. Use plain extension names for core installs, or name@repo for repository-based extensions. The skill checks for DuckDB first, handles --update separately, and turns a simple request into valid DuckDB INSTALL commands with less guesswork.
by xixu-me
running-claude-code-via-litellm-copilot shows how to route Claude Code through a local LiteLLM proxy to GitHub Copilot, align ANTHROPIC_BASE_URL and model names, verify localhost traffic, and troubleshoot 401/403, model-not-found, and proxy compatibility issues.
by xixu-me
skills-cli helps users discover, install, and manage Agent Skills with current `bunx skills` or `npx skills` commands, including `--skill`, `skills-lock.json`, update, remove, restore, and sync workflows.
by microsoft
continual-learning is a skill for AI coding agents that need to remember useful lessons across sessions. It supports hooks, two-tier memory, and reflection so agents can reuse project conventions, avoid repeated mistakes, and improve Agent Orchestration over time.
