Make Dogfood
Analyze and enhance Makefiles for complete functionality coverage with auto-generation capability
- Type
- Slash Command
- Repository
- athola/claude-night-market
- GitHub stars
- 339
- License
- MIT
- Repo last updated
- Sep 24, 2026
- Source file
- plugins/abstract/commands/make-dogfood.md
What Make Dogfood is
Make Dogfood is a slash command published in the athola/claude-night-market repository on GitHub, which has about 339 stars. The repository describes itself as: “23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and multi-LLM delegation. 186 skills, 128 commands, 54 agents.”
A slash command is a reusable prompt saved as a markdown file and run by typing its name after a slash. In Claude Code, custom commands have been merged into skills: a file in .claude/commands/ and a skill folder in .claude/skills/ both create the same kind of command, and existing command files keep working.
Make Dogfood gives you a repeatable way to run the same instructions without retyping them, optionally with arguments.
How to install Make Dogfood
Claude Code
- Download make-dogfood.md from the repository.
- Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md.
- Run it by typing / followed by its name.
Claude Cowork
- Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it.
- In Customize → Skills, click +, then upload the ZIP.
- Run it from any task with / and the skill name.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from plugins/abstract/commands/make-dogfood.md, shared under the repository's MIT license. Read the full file on GitHub.
Use the makefile-dogfooder script to analyze, test, and enhance Makefiles across the claude-night-market project with thorough safety checks and auto-generation capabilities.
When To Use
Use this command when you need to:
- Analyzing Makefile completeness
- Testing existing make targets
- Generating missing targets
- Preparing plugins for release
- Auditing Makefile coverage across plugins
- Creating Makefiles for plugins without them
When NOT To Use
Avoid this command if:
- Writing initial Makefiles from scratch (use --generate-makefiles instead)
- Debugging specific build failures
- Creating custom build systems
Parameters
- --mode: Operation mode (default: analyze)
- analyze: Only analyze and report gaps (SAFE - no changes)
- generate: Show generated targets without writing files
- apply: Write targets to Makefiles (use with --dry-run first)
- --plugin: Restrict to specific plugin (e.g., --plugin sanctum)
- Recommended: Test on one plugin before applying to all
- --dry-run: Preview changes without writing files (HIGHLY RECOMMENDED)
- Always use this before applying changes for real
- Shows what will be generated/modified
- --generate-makefiles: Generate Makefiles for plugins that don't have them
- Follows attune:makefile-generation pattern
- Auto-detects language (Python/Rust/TypeScript)
- Creates standard targets for detected language
- --preflight-check: Run validation checks before processing
- Validates directories exist
- Checks write permissions
- Detects git repository for rollback
- --verbose: Show detailed progress and error messages
- --output: Output format (text|json, default: text)
Workflow
1. Discovery Phase
Scan all Makefiles and build an inventory of existing targets:
- Find all Makefile and .mk files
- Extract target definitions and metadata
- Build dependency graphs
- Identify plugin type (leaf vs aggregator)
2. Analysis Phase
Evaluate Makefiles against best practices:
- Check for essential targets (help, clean, test, lint)
- Identify missing convenience targets (demo, quick-run)
- Detect anti-patterns and inconsistencies
- Score each Makefile on completeness (0-100)
3. Testing Phase
Safely validate existing targets:
- Run make -n for dry-run validation
- Test help targets and documentation coverage
- Verify target dependencies exist
- Check for common runtime issues
4. Generation Phase
Create missing targets based on analysis:
- Generate LIVE demo targets that run actual CLI tools/scripts
- Add dogfood targets that run plugin tools on the plugin itself
- Create quick-run targets for common workflows
- Ensure demos show REAL output, not static echoes
- Maintain consistency with existing patterns
Generation Checklist:
- Does demo-* target run an actual script/tool?
- Does output show real, dynamic data?
- Would a user learn something by running this?
- Is the plugin "eating its own dogfood"?
Examples
# SAFE WORKFLOW (Recommended)
# 1. Analyze all plugins to see what's missing
python3 plugins/abstract/scripts/makefile_dogfooder.py --mode analyze
# 2. Generate for a single plugin (see what would be created)
python3 plugins/abstract/scripts/makefile_dogfooder.py --plugin sanctum --mode generate
# 3. Dry-run to preview changes
python3 plugins/abstract/scripts/makefile_dogfooder.py --plugin sanctum --mode apply --dry-run
# 4. Apply for real
python3 plugins/abstract/scripts/makefile_dogfooder.py --plugin sanctum --mode apply
# 5. Generate Makefiles for plugins missing them
python3 plugins/abstract/scripts/makefile_dogfooder.py --generate-makefiles --mode analyze
# 6. Bulk workflow with safety
…Safety Features
The script includes thorough safety checks:
- Preflight Validation (automatic in apply mode)
- Directory existence checks
- Write permission verification
- Git repository detection
- Working Directory Validation
- Automatic normalization
- Prevents "file not found" errors
- Confirmation Prompt
- Prompts before applying without --dry-run
- Prevents accidental changes
- Duplicate Detection
- Checks for existing targets
- Prevents conflicts and warnings
What This Command Does
- Creates detailed inventory of all Makefile targets across the project
- Identifies gaps in user-facing functionality using pattern matching
- Tests safely without modifying files or running risky operations
- Generates missing targets with contextually appropriate templates
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Make Dogfood?
Make Dogfood is a slash command for Claude Code and Claude Cowork from the athola/claude-night-market repository on GitHub. Analyze and enhance Makefiles for complete functionality coverage with auto-generation capability
How do I install Make Dogfood in Claude Code?
Download make-dogfood.md from the repository. Save it to ~/.claude/commands/ (all projects) or .claude/commands/ (one project). As a skill, you can instead save it as ~/.claude/skills/<name>/SKILL.md. Run it by typing / followed by its name.
Can I use Make Dogfood in Claude Cowork?
Turn the command into a skill: create a folder with the file saved as SKILL.md and zip it. In Customize → Skills, click +, then upload the ZIP. Run it from any task with / and the skill name.
Is Make Dogfood safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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