Prowler Commit logo

Prowler Commit

OrganizationPopular
prowler-cloud
prowler-commit

Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.

Overview

Publisherprowler-cloud
Repositoryprowler
Skill nameprowler-commit
Stars
14.8K
Forks
2.4K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by prowler-cloud on GitHub. Read the source before you install it.

Installation

Install the Prowler Commit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/prowler-cloud/prowler.git /tmp/prowler
mkdir -p .claude/skills
cp -r /tmp/prowler/skills/prowler-commit .claude/skills/prowler-commit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prowler Commit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prowler Commit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prowler Commit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Critical Rules

  • ALWAYS use conventional-commits format: type(scope): description
  • ALWAYS keep the first line under 72 characters
  • ALWAYS ask for user confirmation before committing
  • NEVER be overly specific (avoid counts like "6 subsections", "3 files")
  • NEVER include implementation details in the title
  • NEVER use -n flag unless user explicitly requests it
  • NEVER use git push --force or git push -f (destructive, rewrites history)
  • NEVER proactively offer to commit - wait for user to explicitly request it

Commit Format

text
type(scope): concise description

- Key change 1
- Key change 2
- Key change 3

Types

TypeUse When
featNew feature or functionality
fixBug fix
docsDocumentation only
choreMaintenance, dependencies, configs
refactorCode change without feature/fix
testAdding or updating tests
perfPerformance improvement
styleFormatting, no code change

Scopes

ScopeWhen
apiChanges in api/
uiChanges in ui/
sdkChanges in prowler/
mcpChanges in mcp_server/
skillsChanges in skills/
ciChanges in .github/
docsChanges in docs/
omitMultiple scopes or root-level

Good vs Bad Examples

Title Line

text
# GOOD - Concise and clear
feat(api): add provider connection retry logic
fix(ui): resolve dashboard loading state
chore(skills): add Celery documentation
docs: update installation guide

# BAD - Too specific or verbose
feat(api): add provider connection retry logic with exponential backoff and jitter (3 retries max)
chore(skills): add comprehensive Celery documentation covering 8 topics
fix(ui): fix the bug in dashboard component on line 45

Body (Bullet Points)

text
# GOOD - High-level changes
- Add retry mechanism for failed connections
- Document task composition patterns
- Expand configuration reference

# BAD - Too detailed
- Add retry with max_retries=3, backoff=True, jitter=True
- Add 6 subsections covering chain, group, chord
- Update lines 45-67 in dashboard.tsx

Workflow

  1. Analyze changes

    bash
    git status
    git diff --stat HEAD
    git log -3 --oneline  # Check recent commit style
  2. Draft commit message

    • Choose appropriate type and scope
    • Write concise title (< 72 chars)
    • Add 2-5 bullet points for significant changes
  3. Present to user for confirmation

    • Show files to be committed
    • Show proposed message
    • Wait for explicit confirmation
  4. Execute commit

    bash
    git add <files>
    git commit -m "$(cat <<'EOF'
    type(scope): description
    
    - Change 1
    - Change 2
    EOF
    )"

Decision Tree

text
Single file changed?
├─ Yes → May omit body, title only
└─ No → Include body with key changes

Multiple scopes affected?
├─ Yes → Omit scope: `feat: description`
└─ No → Include scope: `feat(api): description`

Fixing a bug?
├─ User-facing → fix(scope): description
└─ Internal/dev → chore(scope): fix description

Adding documentation?
├─ Code docs (docstrings) → Part of feat/fix
└─ Standalone docs → docs: or docs(scope):

Commands

bash
# Check current state
git status
git diff --stat HEAD

# Standard commit
git add <files>
git commit -m "type(scope): description"

# Multi-line commit
git commit -m "$(cat <<'EOF'
type(scope): description

- Change 1
- Change 2
EOF
)"

# Amend last commit (same message)
git commit --amend --no-edit

# Amend with new message
git commit --amend -m "new message"

Frequently asked questions

What does the Prowler Commit AI skill do?

Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.

Why use Prowler Commit on TypingMind?

Because you install it once and use it with any model. Prowler Commit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prowler Commit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/prowler-cloud/prowler/tree/master/skills/prowler-commit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Prowler Commit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prowler Commit?

As many as you like. As long as a model supports skills, you can use Prowler Commit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prowler Commit AI skill free?

Yes. It is published on GitHub by prowler-cloud under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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