Superpowers: Claude Agent Framework
Structured agent skills for parallel, methodical software development
What You Can Do
Superpowers provides Claude with a complete framework of specialized skills that teach AI agents how to approach software development systematically. Use it to brainstorm ideas into designs, execute detailed plans with checkpoints, dispatch parallel agents for independent tasks, and finish development branches with proper integration. The framework enforces best practices like design-first development, test-driven workflows, and comprehensive verification before completion.
Features
Turn ideas into fully-formed specifications through guided dialogue. Explores requirements, proposes 2-3 approaches with tradeoffs, presents designs for approval, and documents specs before implementation begins.
Delegate independent tasks to multiple agents working concurrently. Each agent gets focused scope, clear goal, and isolated context. Perfect for fixing multiple test failures or investigating unrelated subsystems simultaneously.
Execute detailed implementation plans with bite-sized steps, verification checkpoints, and progress tracking. Plans drive focused work without context drift or scope creep.
Automated integration decision tree that verifies tests, detects environment (local or worktree), presents merge options, and handles cleanup. Prevents integration mistakes and orphaned branches.
Technical evaluation framework for handling code review feedback. Verify before implementing, push back with reasoning when needed, distinguish unclear feedback from actionable guidance.
Structured approach to TDD that keeps tests and implementation in sync, validates all code paths, and prevents test-only cargo cult.
Methodical debugging process that gathers signals (logs, screenshots, stack traces), builds hypotheses, and tests them systematically before guessing.
Write reusable Claude skills that teach agents domain-specific capabilities. Skills compose into larger workflows through clear interfaces and dependencies.
Example Output
Brainstorming a new feature: Design before coding
Brainstorm: Add dark mode support to the application
Claude explores your codebase, asks clarifying questions about scope, proposes 2-3 different architectural approaches with tradeoffs, presents a detailed design covering components and styling, then commits an approved spec to docs/ before implementation. This prevents expensive rework from unclear requirements.
Fixing multiple test failures in parallel: Run independent investigations simultaneously
Agent 1 → Fix src/tests/auth.test.ts (3 failures)
Agent 2 → Fix src/tests/payment.test.ts (2 failures)
Agent 3 → Fix src/tests/dashboard.test.ts (1 failure)
Each agent independently investigates their test file, identifies root causes, and implements fixes. All three run concurrently instead of sequentially, cutting investigation time by 3x while preventing conflicts since each agent touches different code.
Executing a plan with verification: Step through implementation with safety checkpoints
Execute step 1: Create database schema (verify: schema migrates cleanly)
Execute step 2: Add API endpoints (verify: tests pass, logs clean)
Execute step 3: Add frontend components (verify: renders without errors)
Each task is small, well-defined, and verified independently. Claude reports progress and stops immediately if verification fails, preventing silent failures that propagate downstream.
What's Included
- 14 Specialized Skills: Complete skill library covering brainstorming, planning, execution, debugging, code review, testing, and branch management. Each skill is a reusable agent capability.
- Plan-Driven Framework: Structured methodology for turning ideas into designs, designs into plans, plans into code, and code into production. Includes decision trees and checklists for each phase.
- Parallel Agent Coordination: Framework for dispatching multiple agents to independent problems simultaneously. Includes isolation patterns, context management, and integration verification.
- Integration Verification: Automated workflows for verifying test suites, handling branch merging, creating PRs, and managing worktree cleanup. Prevents integration accidents.
- SKILL.md Templates and Examples: Documented skill structure with working examples. Teaches how to author new domain-specific skills that integrate seamlessly with the framework.
- Development Methodology: Complete SDLC philosophy covering design-first, test-driven, parallel development, and comprehensive verification. Works for teams of AI agents and humans working together.
Who It's For
- Software Development Teams
- AI Engineers Building Multi-Agent Systems
- Engineering Managers Coordinating Parallel Work
- Technical Architects Planning Complex Features
- Code Review Leads Establishing Development Standards
Best For
- Feature Planning and Design
- Parallel Development Coordination
- Systematic Debugging and Problem-Solving
- Test-Driven Development Workflows
- Code Integration and Branch Management
- Large Feature Decomposition
You might also like
Search the web, scrape URLs into markdown/HTML/screenshots/links/images, extract structured JSON with AI prompts, crawl multi-page sites, and monitor pages for changes on a schedule. Supports browser automation features like JavaScript rendering, stealth mode, cookies, and custom headers. Perfect for data engineers, researchers, and developers who need API-free web data collection without writing scrapers.
This comprehensive collection includes 79 dedicated agent skills for all major Azure services and operations. You can automate Azure resource deployment and management, query infrastructure and logs with natural language using Kusto Graph and IRQL, analyze security events and detect threats, configure identity and access management through Entra ID, monitor application performance with Application Insights, manage storage and messaging services, execute cloud migration workflows, validate compliance policies, and query Azure resources by metadata or properties.
This comprehensive skill collection guides you through creating professional videos programmatically using Remotion and React. Create new video projects, structure complex multi-scene compositions, and animate content with full interactivity. Add captions by transcribing audio, importing SRT files, or generating them programmatically. Build animated maps with Mapbox, MapLibre, or GeoJSON, including 3D geographic flyovers. Process multimedia by trimming, cropping, and extracting metadata from video and audio files.
Render dynamic videos directly from HTML/code using Puppeteer and ffmpeg, with built-in support for AI voiceover, caption overlays, and motion animation. Convert markdown changelogs into polished 45-60 second branded videos with animated UI mockups, captions, and AI narration. Create explainer videos, product demos, and animated visualizations using code-first workflows and motion doctrines that enforce consistency and quality.
by heygen-comRigorPilot is a comprehensive skill suite for deep learning research, providing auditable repository analysis, README-first reproducibility workflows, bounded exploration with evidence-based ranking, and publication-ready scientific documentation. Each skill enforces rigor through documented assumptions, comparability tracking, and explicit decision checkpoints. Use these skills to understand ML repository internals, faithfully reproduce published results, systematically explore novel ideas with proper baselines, and generate standardized research artifacts.
Create production-ready mobile app designs by describing what you want in plain language. Use chat-based requests to design screens, iterate with follow-up messages, and export code implementations for HTML, React Native, and SwiftUI. Features include live design preview in the Sleek editor, component screenshot generation, and built-in design references to seed your visual style.
Present users with an adaptive 24-question personality assessment that uses Bayesian active learning to efficiently map their psychological profile. The skill automatically maps user responses (1-7 scales or natural language) to archetype classifications based on a 5-color psychological model, tracks probability distributions in real-time, and delivers detailed personality insights including core strengths, weaknesses, and top archetype matches.
This collection of skills improves code quality, architecture documentation, and team workflow coordination. Review Architecture Decision Records with fresh perspective and rewrite them for clarity, implement type-safe AST visitor patterns for robust code organization, automate Biome linting upgrades across monorepos, and generate well-structured GitHub pull requests integrated with Linear project tracking. Perfect for teams that care about maintainable code, clear decision documentation, and smooth development workflows.