PromptMint

Turn any codebase into an AI-ready prompt.

PromptMint scans your project, collects useful source files, dependency manifests, git diff, and optional error logs, then generates a clean Markdown context pack you can paste into ChatGPT, Claude, Gemini, or any coding agent.

Why?

Copying files into AI chats is slow and messy. PromptMint gives you one command that creates a structured, safe context file for debugging, code review, refactoring, and project explanation.

Install

pip install promptmint

Install locally for development

git clone https://github.com/asimawdah/promptmint.git
cd promptmint
python3 -m pip install -e .

Usage

promptmint -g "Fix this bug" -m debug

promptmint --goal "Review this PR" --mode review --output review-context.md

promptmint --goal "Explain this project" --mode explain

promptmint -e error.log -m debug -c

Add structured metadata and required prompt variables when the output must be traceable to a ticket, feature area, or review scope:

promptmint . \
  --goal "Review the login flow" \
  --mode review \
  --require ticket \
  --var ticket=PM-123 \
  --var area=login \
  --output reports/PM-123-review.md

For repeatable scripts, store non-sensitive prompt metadata in a JSON object and load it with --vars-file:

{
  "ticket": "PM-123",
  "area": "login",
  "reviewer": "asim"
}

promptmint . \
  --goal "Review the login flow" \
  --mode review \
  --require ticket,area \
  --vars-file prompt-vars.json \
  --output reports/PM-123-review.md

If a required variable is missing or empty, PromptMint exits before writing an incomplete context pack. Duplicate variable names are also rejected so metadata cannot be overwritten accidentally. Variable names are canonicalized to lowercase, so case variants like Ticket and ticket are treated as the same workflow field. Secret-like metadata names such as password, token, private-key, credential, or api-key are rejected because --var and --vars-file are for workflow context, not sensitive values.

Template Library

PromptMint includes 25 starter templates across coding, debugging, product planning, writing, and learning.

List all templates:

promptmint --list-templates

Filter templates by category or search text:

promptmint --list-templates --template-category coding
promptmint --list-templates --template-search security
promptmint --list-templates --template-search "security auth logging"

Multi-word template search requires every term to match template metadata or prompt text.

Use JSON output for scripts, CI checks, or editor integrations:

promptmint --list-templates --template-category debugging --template-format json

Inspect one template before scanning a project:

promptmint --show-template bug-root-cause
promptmint --show-template bug-root-cause --template-format json

Preview template placeholders with --template-var:

promptmint --show-template bug-root-cause \
  --template-var bug="login redirects to a blank page" \
  --template-var expected_behavior="user reaches the dashboard"

Use a template while generating a context pack:

promptmint . \
  --template bug-root-cause \
  --template-var bug="login redirects to a blank page" \
  --template-var expected_behavior="user reaches the dashboard" \
  --output debug-context.md

Use --template-var for template placeholders and keep --var, --require, and --vars-file for prompt metadata:

promptmint . \
  --template bug-root-cause \
  --template-var bug="login redirects to a blank page" \
  --template-var expected_behavior="user reaches the dashboard" \
  --require ticket \
  --var ticket=BUG-18 \
  --output reports/BUG-18-debug.md

The generated context pack includes the selected template metadata, rendered template goal, prompt metadata, project files, and final mode-specific instruction.

See Prompt Template Library for the full workflow and guidance for adding new templates.

CLI Shortcuts

• -g, --goal: task goal
• -m, --mode: prompt mode
• -e, --error: error log file
• -i, --include: include glob, repeatable
• -x, --exclude: exclude glob, repeatable
• -o, --output: output Markdown file; must end in .md or .markdown; missing parent directories are created; existing output files inside the scanned project are excluded from the scan
• -c, --copy: copy output to clipboard if a clipboard tool is available
• -s, --max-file-bytes: skip files larger than this size
• --require: required prompt variable name; can be repeated; comma-separated shorthand is supported; names are canonicalized to lowercase and cannot look like secrets
• --var: prompt variable metadata in NAME=VALUE format; can be repeated, but each canonicalized name must be unique and non-sensitive
• --vars-file: JSON object containing prompt variable metadata; can be repeated; keys follow the same name rules as --var, values must be strings, and duplicate canonical names are rejected across files and inline variables
• --list-templates: list starter prompt templates
• --show-template: show full details for one starter prompt template
• --template: use a starter prompt template by id
• --template-category: filter listed templates by category
• --template-search: search template metadata and prompt text; every word must match
• --template-format: choose text or json for template listing/detail output
• --template-var: template placeholder value in NAME=VALUE format; can be repeated with --template or --show-template

Modes

• debug: root cause + smallest safe fix
• review: bugs, security, performance, maintainability
• explain: explain how the project works
• refactor: safe refactor plan

Prompt metadata

Every generated context pack now includes a Prompt Metadata section with:

• schema version for future-compatible metadata changes
• selected mode
• whether a goal was provided
• included file and dependency counts
• whether git diff or error logs are present
• variable validation status and variable counts
• required and provided variable names when supplied

Use metadata for repeatable workflows where the generated prompt should stay connected to an issue, PR, feature area, reviewer, or environment.

Recommended variable names:

• ticket for an issue or task id
• pr for a pull request id
• area for the affected feature or module
• env for the runtime environment
• owner for the person or team responsible for follow-up

Avoid using --var or --vars-file for secrets, tokens, credentials, private keys, or passwords. PromptMint rejects variable names that look sensitive, but generated context packs should still be reviewed before sharing.

See Prompt Metadata and Validation for details about schema fields, canonical variable names, required-variable validation, secret-like name rejection, safe Markdown rendering, JSON variable files, and output path rules.

What it includes

• Project tree
• Dependency/manifest files like package.json, pyproject.toml, composer.json, go.mod, pubspec.yaml
• Git diff, if available
• Text source files
• Optional error log
• Prompt metadata and variables
• Selected prompt template metadata when --template is used
• Final instruction tailored to the selected mode

What it ignores by default

• .git, node_modules, vendor, dist, build, virtual environments, caches
• .env files
• Binary files
• Large files over 50KB by default
• The generated --output file when it already exists inside the scanned project

Safety notes

PromptMint is designed to avoid common noisy or sensitive paths, but you should still review the generated Markdown before pasting it into an AI tool.

Recommended safe workflow:

1. Run PromptMint with a narrow include pattern first.
2. Open the generated Markdown and check for secrets, tokens, private URLs, or customer data.
3. Add extra --exclude patterns for anything that should never leave your machine.
4. Write the pack to an explicit Markdown path such as reports/BUG-18-debug.md.
5. Re-run to the same output path safely when needed; PromptMint excludes that generated file from the scan.
6. Commit a project-level .gitignore and keep secrets in ignored .env files.

Example:

promptmint . \
  --include "src/**/*.py" \
  --exclude "**/secrets/**" \
  --exclude "**/*.pem" \
  --goal "Review this module safely" \
  --output reports/module-review.md

Examples

promptmint . --include "src/**/*.py" --goal "Find the bug" --output reports/bug-context.md

promptmint . --exclude "tests/fixtures/**" --max-file-bytes 20000 --output reports/trimmed-context.markdown

promptmint . --mode debug --require ticket --var ticket=BUG-18 --var area=scanner --output reports/BUG-18-debug.md

promptmint . --mode review --require ticket,area --vars-file prompt-vars.json --output reports/review-context.md

promptmint . --template code-review --template-var focus_area=authentication --output reports/auth-review.md

See Prompt Output Examples for sample Markdown packs generated by debug, review, explain, and refactor modes.

Development

python3 -m unittest discover -s tests -v

Roadmap

• Markdown context pack generator
• Project tree + file scanner
• Dependency manifest detection
• Git diff inclusion
• Debug/review/explain/refactor modes
• Prompt metadata and required variable validation
• Canonical prompt variable names
• Secret-like prompt metadata name rejection
• JSON prompt variable files
• Categorized prompt template library
• Better .gitignore support
• Token budget smart trimming
• Interactive file picker
• JSON output
• MCP server integration

License

MIT