tfm-add-card
tfm-add-card is a skill that allows developers to add new cards to TFM by registering the card name, implementing the card, registering in manifest, and writing unit tests.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
tfm-add-card is a skill that allows developers to add new cards to TFM by registering the card name, implementing the card, registering in manifest, and writing unit tests.
convert-to-docker is a skill that migrates NanoClaw from Apple Container to Docker, changing container runtime, mount syntax, and startup checks
karpathy is a set of coding principles for writing clean, minimal, and purposeful code, focusing on clarity and simplicity in AI agent development.
run-all-checks is a skill that automates the execution of various project checks, including ruff, mypy, pytest, and Sphinx docs, to identify and fix errors.
Detailed-implementation-plan is a skill that generates an actionable implementation plan from a plan-based-page output file, using fixed paths and supporting parallel session execution.
Merge is a Git-based skill that performs squash merges of feature branches into main, utilizing worktree detection and automation.
bmad-validate-prd is a skill that activates the BMAD PRD Validation workflow, using a step-file architecture and configuration loading from _bmad/bmm/config.yaml
Updating-changelog is a skill that automates the process of updating changelog files by reading release manifests and analyzing Git branch changes.
Iterative-review is a quality assurance workflow that improves OpenCode documentation and settings through a cyclical process of modification, review, and revision.
gluestack-ui-v4:variants is a sub-skill for creating custom variants of gluestack-ui v4 components, extending the design system with project-specific styling patterns.
review-paper is a specialized AI agent skill designed for editors to review and evaluate manuscripts using a dual-agent approach
book-review is a Rust language proof-carrying data framework designed to facilitate efficient code review by interpreting user arguments and applying project-specific review policies.