commit-smart
Analyze staged/unstaged changes and create semantic conventional commits with context about WHY, not just WHAT. Auto-detects commit type and scope from the diff. Supports optional type/scope arguments. Usage - /commit-smart, /commit-smart fix, /commit-smart refactor api
- License 许可
- MIT
- 最近更新
- 2026-11-14
- Stars
- ★ 3.3w
- Forks
- 3.9k
01 前言 Front Matter
- name
- commit-smart
- description
- Analyze staged/unstaged changes and create semantic conventional commits with context about WHY, not just WHAT. Auto-detects commit type and scope from the diff. Supports optional type/scope arguments. Usage - /commit-smart, /commit-smart fix, /commit-smart refactor api
03 SKILL.md 正文
Smart Commit
Create meaningful conventional commits by analyzing your actual changes.
Workflow
Step 1: Assess the working tree
Run these commands to understand the current state:
git status
git diff --stat
git diff --cached --stat
Step 2: Handle unstaged changes
If nothing is staged (git diff --cached is empty):
- Show the user what files have changed
- Suggest what to stage based on logical grouping (e.g., "these 3 files are all related to the auth refactor")
- Ask if they want to stage all, or select specific files
- Stage the approved files with
git add <files>
If changes are already staged, proceed to analysis.
Step 3: Analyze the diff
Read the full staged diff:
git diff --cached
Determine the commit type from the changes:
| Signal | Type |
|---|---|
| New files with new functionality | feat |
| New test files or test additions | test |
| Changes to existing logic fixing incorrect behavior | fix |
| Structural changes without behavior change | refactor |
| package.json, tsconfig, CI config changes | chore |
| Build/bundler config changes | build |
| README, docs, comments only | docs |
| Formatting, whitespace, semicolons only | style |
| Performance improvements | perf |
Determine the scope from the primary directory or module affected:
src/api/->apisrc/components/auth/->authtests/->tests- Root config files -> omit scope
- Multiple unrelated areas -> omit scope
Step 4: Check for user overrides
If the user provided arguments via $ARGUMENTS:
- Single word (e.g.,
fix) -> use as commit type - Two words (e.g.,
refactor api) -> use as type and scope - Otherwise -> use auto-detected values
Step 5: Compose the commit message
Format: type(scope): imperative short description
Rules:
- Subject line max 72 characters
- Use imperative mood ("add", "fix", "refactor", not "added", "fixes")
- Don't end with a period
- Body explains WHY this change was made, not what changed (the diff shows what)
- If changes are trivial (typo fix, formatting), skip the body
Example:
feat(auth): add JWT refresh token rotation
Tokens were expiring mid-session for users with slow connections.
Rotating refresh tokens extends the session without compromising
security, since each refresh token can only be used once.
Step 6: Confirm and commit
Show the user the proposed commit message and ask for confirmation.
If confirmed, run:
git commit -m "<message>"
Then verify with:
git log --oneline -1
Show the committed hash and message.
Tips
- Run after completing a logical unit of work, not after every file change
- If the diff is too large for one commit, suggest splitting into multiple commits
- For breaking changes, add
!after the scope:feat(api)!: change response format - The body should answer "if someone reads this commit in 6 months, will they understand WHY?"
04 同仓库更多 Skills
wealthville-pool-scoring
Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter/Hold/Exit/Reduce/Avoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.
technical-debt-auditor
Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO/FIXME/HACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like "where should I focus refactoring", "find code smells", "audit my codebase", "what technical debt do we have", "prioritize cleanup work", or asks about code quality metrics. Also trigger when the user mentions "code rot", "legacy cleanup", "refactoring priorities", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say "technical debt" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.
readonly-sql-guard
Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production/ERP/analytics database (a "query" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write/DDL/side-effect/transaction-escape risks. Checks what a statement CALLS, not just its shape.
web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
discernment-nudge
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.