taskfile-automation

seabbs/claude-code-config · updated Apr 8, 2026

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$npx skills add https://github.com/seabbs/claude-code-config --skill taskfile-automation
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summary

Discover and execute standardized development workflows using Task automation instead of direct shell commands.

  • Provides command discovery via task --list and built-in help, showing all available project tasks with descriptions
  • Covers common patterns: task dev for fast iteration, task test for testing, task docs for documentation, and task ci for full CI simulation
  • Wraps language-specific commands (Julia, R, Python, etc.) with consistent naming conventions and multi-step workflows
skill.md

Task Automation System

Use this skill when working with projects that use Task to provide easy-to-discover automation commands for development workflows.

Core Principle

IMPORTANT: Always prefer task commands over direct shell/language commands when a Taskfile is present.

Task provides:

  • Discoverability: task --list shows all available tasks
  • Consistency: Standardised commands across different environments
  • Documentation: Built-in descriptions and help
  • Automation: Multi-step workflows (e.g., task dev combines testing and docs)
  • Safety: Interactive prompts for destructive operations

Task Discovery

Find Available Tasks

# List all available tasks with descriptions
task --list

# Show common workflows and usage patterns
task help

# Get detailed help for specific task
task <taskname> --help

Always start with discovery when entering a new project with a Taskfile.

Common Task Patterns

Development Workflows

Projects typically provide these standard tasks:

# Fast development cycle (common iteration loop)
task dev          # Usually runs fast tests + fast docs

# Pre-commit workflow
task precommit    # Runs pre-commit hooks + fast tests

# Full CI simulation locally
task ci           # Complete CI pipeline locally

Testing Workflows

# Full test suite including quality checks
task test

# Fast tests (skip quality checks for rapid development)
task test-fast
task test:fast    # Alternative naming

# Quality checks only (Aqua, formatting, linting)
task test-quality
task test:quality

Documentation Building

# Quick docs build (recommended for development)
task docs-fast
task docs:fast

# Full documentation including slow components (notebooks, etc.)
task docs

# Interactive documentation server
task docs-pluto   # For Julia projects with Pluto notebooks
task docs:serve   # For live-reload documentation server

Environment Management

# Set up development environment from scratch
task setup

# Show package/dependency status
task pkg:status
task status

# Project overview and environment information
task info

Code Quality

# Linting
task lint

# Formatting
task format

# Combined quality checks
task quality

Using Task vs Direct Commands

When to Use Task

Use task commands when:

  • A Taskfile exists in the project
  • You need to run standard development operations
  • You want to discover available workflows
  • You need consistency across team members

When Task Wraps Underlying Commands

Tasks are typically thin wrappers around language-specific commands:

Example - Julia:

# Task command
task test

# Underlying command it runs
julia --project=. -e 'using Pkg; Pkg.test()'

Example - R:

# Task command
task docs

# Underlying command it runs
Rscript -e "devtools::document()"

When to Use Direct Commands

Use direct language commands when:

  • No Taskfile exists
  • You need advanced options not exposed by tasks
  • You're doing exploratory work outside standard workflows
  • Tasks don't cover your specific use case

Task Workflow Examples

Typical Development Cycle

# 1. Discover what's available
task --list

# 2. Run fast iteration cycle
task dev          # Fast tests + fast docs

# 3. Before committing
task precommit    # Pre-commit checks + tests

# 4. Before pushing (optional)
task ci           # Full CI simulation

First-Time Setup

# 1. See what setup tasks exist
task --list | grep setup

# 2. Run setup
task setup        # Install dependencies, configure environment

# 3. Verify setup
task info         # Show project and environment status

# 4. Test everything works
task test

Task Naming Conventions

Common patterns in task names:

Prefixes:

  • test:* - Testing-related tasks
  • docs:* - Documentation tasks
  • pkg:* - Package management tasks
  • ci:* - CI/CD related tasks

Suffixes:

  • *-fast - Quick version of the task
  • *-full - Complete version including optional steps

Special names:

  • dev - Fast development iteration cycle
  • precommit - Pre-commit validation
  • ci - Full CI pipeline
  • setup - Initial project setup
  • clean - Clean build artifacts
  • help - Show usage information

Integration with Language Tools

Julia Projects

# Instead of: julia --project=. -e 'using Pkg; Pkg.test()'
task test

# Instead of: julia --project=docs docs/make.jl --skip-notebooks
task docs-fast

# Instead of: julia --project=. -e 'using Pkg; Pkg.update()'
task pkg:update

R Projects

# Instead of: Rscript -e "devtools::test()"
task test

# Instead of: Rscript -e "devtools::document()"
task docs

# Instead of: Rscript -e "devtools::check()"
task check

Python Projects

# Instead of: pytest
task test

# Instead of: sphinx-build docs docs/_build
task docs

# Instead of: pip install -e .
task install

Task Configuration Files

Taskfile Location

Look for:

  • Taskfile.yml in project root
  • Taskfile.yaml in project root

Understanding Task Definitions

When reading a Taskfile:

  • cmds: - Commands executed by the task
  • deps: - Dependencies run before this task
  • desc: - Description shown in task --list
  • summary: - Extended description for task <name> --help

Best Practices

  1. Always discover first: Run task --list when entering a project
  2. Use task help: Check task help for project-specific guidance
  3. Prefer tasks for standard workflows: Use tasks for dev, test, docs
  4. Direct commands for exploration: Use language commands for ad-hoc work
  5. Check task definitions: Look at Taskfile.yml to understand what tasks do
  6. Update documentation: If tasks change workflows, note it

When to Use This Skill

Activate this skill when:

  • Working with projects that have a Taskfile.yml/Taskfile.yaml
  • You see mentions of "Task" or "task commands" in project documentation
  • Project CLAUDE.md mentions using task instead of direct commands
  • You need to discover available development workflows
  • Running tests, building docs, or managing project development tasks

This skill helps you leverage Task automation rather than manually running underlying commands. Project-specific task definitions and workflows remain in project documentation.

how to use taskfile-automation

How to use taskfile-automation on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add taskfile-automation
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/seabbs/claude-code-config --skill taskfile-automation

The skills CLI fetches taskfile-automation from GitHub repository seabbs/claude-code-config and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/taskfile-automation

Reload or restart Cursor to activate taskfile-automation. Access the skill through slash commands (e.g., /taskfile-automation) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.661 reviews
  • Olivia Lopez· Dec 28, 2024

    taskfile-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ganesh Mohane· Dec 24, 2024

    taskfile-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Noah Gonzalez· Dec 16, 2024

    taskfile-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kwame Gupta· Dec 16, 2024

    Useful defaults in taskfile-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noah Srinivasan· Nov 23, 2024

    Solid pick for teams standardizing on skills: taskfile-automation is focused, and the summary matches what you get after install.

  • Jin Kapoor· Nov 19, 2024

    Useful defaults in taskfile-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Nov 15, 2024

    Keeps context tight: taskfile-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Malhotra· Nov 11, 2024

    taskfile-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Jin Jain· Nov 7, 2024

    Registry listing for taskfile-automation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Xiao Thomas· Nov 7, 2024

    taskfile-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.

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