Fred Meng avatar

Fred Meng

Community

@fred-meng

1Followers
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42Public Repos
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15Published Skills

Fred Meng publishes disciplined software engineering skills covering git worktrees, TDD, systematic debugging, code review, and shadcn/ui component management.

Skills Distribution
DomainDeveloper To...Developer Tooling .. (55%)UI/UX & Creative M.. (15%)AI Models & Machin.. (15%)Cybersecurity & Co.. (10%)

Agent Skills by Fred Meng

Showing 15 vetted skills indexed across 1 GitHub repositories.

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using-git-worktrees

Creates isolated git worktrees with directory selection, ignore verification, and baseline test checks.

Community
Intermediate
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test-driven-development

Enforces red-green-refactor test-driven development workflow for features and bugfixes.

Community
Intermediate
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systematic-debugging

Diagnose bugs through a four-phase root cause investigation process before proposing fixes.

Community
Advanced
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using-superpowers

Enforces skill discovery and invocation before any agent response or action.

Community
Intermediate
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dispatching-parallel-agents

Dispatch concurrent agents to investigate independent failures across separate problem domains.

Community
Intermediate
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shadcn

Manages shadcn/ui components via CLI for adding, searching, styling, and composing React UI.

Community
Advanced
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executing-plans

Executes written implementation plans task by task with review checkpoints and verification steps.

Community
Intermediate
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finishing-a-development-branch

Guides completion of development branches through structured merge, pull request, or cleanup options.

Community
Intermediate
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brainstorming

Guides collaborative design exploration and produces approved spec documents before implementation.

Community
Advanced
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writing-plans

Generates detailed multi-task implementation plans with exact file paths, code, and test steps.

Community
Intermediate
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requesting-code-review

Dispatches a code-reviewer subagent to evaluate git diffs against requirements before merging.

Community
Intermediate
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receiving-code-review

Guides verification and implementation of code review feedback with technical rigor.

Community
Intermediate
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writing-skills

Create and test agent skills using test-driven development with subagent pressure scenarios.

Community
Advanced
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verification-before-completion

Requires running verification commands and checking output before claiming work is complete.

Community
Basic
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subagent-driven-development

Executes implementation plans by dispatching fresh subagents per task with two-stage review.

Community
Advanced

Frequently Asked Questions About Fred Meng

FAQPage Schema
What tasks can I accomplish using Fred Meng's skills?

You can create isolated git worktrees, practice test-driven development, debug systematically, write and execute implementation plans, dispatch parallel subagents, request and receive code reviews, verify work before completion, and manage shadcn/ui components including presets and registries.

Who are these skills designed for?

Software engineers and developers who follow structured engineering practices: TDD practitioners, teams using code review checkpoints, developers working with git branch isolation, and front-end engineers building interfaces with shadcn/ui component registries and presets.

How do the shadcn skill commands run in practice?

The shadcn skill invokes Bash commands through npx shadcn@latest, pnpm dlx shadcn@latest, or bunx --bun shadcn@latest. It handles adding, searching, fixing, styling, and composing components, plus project initialization and --preset switching in projects containing a components.json file.

What prerequisites or dependencies do these skills require?

Git-based skills require a git repository with branches and worktree support. The shadcn skill requires Node.js package runners (npx, pnpm, or bunx) and a components.json project. Planning and review skills require written specs, implementation plans, or review feedback as inputs.

How do these skills enforce quality before completion?

The verification-before-completion skill mandates running verification commands and confirming actual output before claiming work is done. Combined with test-driven-development, systematic-debugging, and requesting-code-review, it enforces evidence-based assertions rather than unverified success claims.