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Found 4,154 Skills
Autonomous ML experimentation framework by Andrej Karpathy. AI agent autonomously modifies train.py, runs 5-minute GPU experiments, evaluates with val_bpb, and commits only improvements via git ratcheting — so you wake up to 100+ experiments and a better model. Use when setting up autoresearch, writing program.md directives, interpreting results, configuring hardware, or running overnight autonomous ML experiments. Triggers on: autoresearch, autonomous ml experiments, overnight gpu experiments, karpathy autoresearch, train.py experiments, val_bpb, program.md research directives, ai runs experiments.
Cut a release — detect versioning context, generate a changelog from conventional commits, bump versions, and create a git tag. Use when the user says "release", "cut a release", "tag a release", "bump the version", "create a changelog", "ship a version", "publish", or any variation of shipping/publishing a version. This skill is intentionally generic and works across any repo — it infers context from git history and project structure rather than assuming a specific setup.
Use this skill when generating AI-agent-friendly documentation for a git repo or directory, answering questions about a codebase from existing docs, or incrementally updating documentation after code changes. Triggers on codedocs:generate, codedocs:ask, codedocs:update, "document this codebase", "generate docs for this repo", "what does this project do", "update the docs after my changes", or any task requiring structured codebase documentation that serves AI agents, developers, and new team members.
A skill for reviewing a specific diff and showing the findings as comments inside difit (the diff viewer). Use it to review branch diffs, commit diffs, or GitHub PRs, then preload findings or code explanations into difit with `--comment` before launching it for the user.
Post-task review. Extract learnings, classify, write to memory layers, and reconcile GitHub issues.
Practical AI agent workflows and productivity techniques. Provides optimized patterns for daily development tasks such as commands, shortcuts, Git integration, MCP usage, and session management.
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
Design and implement CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or CircleCI. Use for automated testing, building, and deployment workflows.
Comprehensive markdown linting guidance using markdownlint-cli2. Run, execute, check, and validate markdown files. Fix linting errors (MD0XX rules). Configure .markdownlint-cli2.jsonc (rules and ignores). Set up VS Code extension and GitHub Actions workflows. Supports markdown flavors including GitHub Flavored Markdown (GFM) and CommonMark. Use when working with markdown files, encountering validation errors, configuring markdownlint, setting up linting workflows, troubleshooting linting issues, establishing markdown quality standards, or configuring flavor-specific rules for tables, task lists, and strikethrough.
Manage logical workspaces for organizing development across multiple organizations/contexts. Use when: (1) Creating a new workspace for a project/org, (2) Listing available workspaces, (3) Switching active workspace, (4) Configuring workspace-specific settings (GitHub/JIRA tokens, work directory). Workspaces isolate configuration so you can work on personal projects vs work projects without conflicts.
This skill should be used when the user asks to "commit changes", "craft a commit message", "stage and commit", "commit only session edits", or run a commit workflow with flags like --all, --deep, or --push. Creates atomic git commits with heuristic analysis, conventional-commit formatting, staging rules, optional deep analysis, and optional push.
Search GitHub and automatically install and configure MCP (Model Context Protocol) server tools into Claude configuration files. This skill is triggered when users need to install MCP tools. Workflow: Search for MCP projects on GitHub -> Extract npx configuration -> Add to ~/.claude.json -> Handle API keys (if any).