Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed…
EnglishGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.
EnglishComprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven…
EnglishInteractive assistant for creating new Claude commands with proper structure, patterns, and MCP tool…
EnglishCreate a workflow command that orchestrates multi-step execution through sub-agents with file-based task…
EnglishUse before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.
EnglishExecute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry…
EnglishExecute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based…
EnglishLaunch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge…
EnglishExecute complex tasks through sequential sub-agent orchestration with intelligent model selection, meta-judge → LLM-as-a-judge…
EnglishUse when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc - provides git notes commands and patterns for attaching non-invasive metadata to Git objects.
EnglishUse when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.
EnglishEvaluate solutions through multi-round debate between independent judges until…
EnglishLaunch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory…
English
AGENT SKILLS ATLASIncludes Analyse Problem, Analyze Issue, Apply Anthropic Skill Best Practices, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Actualize
Reconcile the project's FPF state with recent repository changes
Add Task
creates draft task file in .specs/tasks/draft/ with original user intent
Analyse Problem
Comprehensive A3 one-page problem analysis with root cause and action plan
Analyze Issue
Analyze a GitHub issue and create a detailed technical specification
Apply Anthropic Skill Best Practices
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
Build MCP
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MC
Cause and Effect
Systematic Fishbone analysis exploring problem causes across six categories
Create Agent
Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns
Create Command
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
Create Ideas
Generate ideas in one shot using creative sampling
Create Workflow Command
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
Decay
Manage evidence freshness by identifying stale decisions and providing governance actions
Design Testing Strategy
Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.
Do and Judge
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
Do Competitively
Execute tasks through competitive multi-agent generation, meta-judge evaluation specification, multi-judge evaluation, and evidence-based synthesis
Do in Parallel
Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge verification
Do in Steps
Execute complex tasks through sequential sub-agent orchestration with intelligent model selection, meta-judge → LLM-as-a-judge verification
Fix Tests
Systematically fix all failing tests after business logic changes or refactoring
Git Notes
Use when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc - provides git notes commands and patterns for attaching non-invasive metadata to Git objects.
Git Worktrees
Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.
Implement Task
Implement a task with automated LLM-as-Judge verification for critical steps
Judge with Debate
Evaluate solutions through multi-round debate between independent judges until consensus
Launch Sub Agent
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique
Load Issues
Load all open issues from GitHub and save them as markdown files
Showing 24 of 41 skills. Use the list’s page controls above to explore the rest.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Actualize skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: GPL-3.0. The author’s terms apply.