Writes git commit messages using conventional commits format with gitmoji. Use when creating git commits, preparing commit messages, or when the user asks to commit changes. Triggers on "commit", "git commit", "save changes", or any request to record changes to version control.
EnglishUpdate project documentation based on recent changes. Use when user says "update docs", "document", "add documentation", "update readme", "write docs", or wants to improve documentation.
EnglishFix ALL issues via parallel agents with zero tolerance quality enforcement. Use when user says "fix", "fix issues", "fix errors", "fix all", "fix bugs", "fix lint", "fix tests", or wants to resolve code problems.
EnglishLibrary documentation via Context7. Use for API references, code examples, framework docs.
EnglishToken-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.
EnglishConducts a deep, multi-round interview to clarify ambiguous requirements and produces a structured specification document. Automatically discovers requirement files and asks probing, non-obvious questions across technical implementation, UX/UI, trade-offs, edge cases, and architectural decisions.
English
AGENT SKILLS ATLASIncludes Analyzing Usage, Ccgram Messaging, Committing Code, 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
Analyzing Usage
Analyze AI coding agent usage, cost, efficiency, and burn rate — Claude
Ccgram Messaging
Inter-agent messaging via ccgram swarm. Use when communicating with
Committing Code
Writes git commit messages using conventional commits format with gitmoji. Use when creating git commits, preparing commit messages, or when the user asks to commit changes. Triggers on "commit", "git commit", "save changes", or any request to record changes to version control.
Debating Ideas
Dialectic thinking for code and architecture decisions — spawn thesis
Deploying Infra
Validate and deploy Kubernetes, Terraform, Helm, Kustomize, GitHub Actions,
Documenting Code
Update project documentation based on recent changes. Use when user says "update docs", "document", "add documentation", "update readme", "write docs", or wants to improve documentation.
Evolving Config
Audit AI coding-agent configuration against current features and local
Exploring Repos
Explore public GitHub repositories in Pi using GitHub CLI, local clones,
Fixing Code
Fix ALL issues via parallel agents with zero tolerance quality enforcement. Use when user says "fix", "fix issues", "fix errors", "fix all", "fix bugs", "fix lint", "fix tests", or wants to resolve code problems.
Improving Tests
Improve test design and coverage, including TDD/red-green-refactor guidance.
Learning Patterns
Extract durable learnings from a session and propose project customizations
Looking Up Docs
Library documentation via Context7. Use for API references, code examples, framework docs.
Managing Infra
Infrastructure patterns for Kubernetes, Terraform, Helm, Kustomize, and
Mem History
Query project history, past decisions, and known gotchas from claude-mem
Researching Web
Web research via Pi web providers. Use for technical comparisons, recent
Reviewing Cc Config
Review Claude Code configuration for context efficiency, signal density,
Reviewing Code
Code review covering security, quality, tests, implementation, documentation,
Reviewing Instructions
Review and score AI agent/skill instructions for quality across 8 dimensions:
Searching Code
Intelligent codebase search and zoom-out mapping via WarpGrep. Use when
Smart Explore
Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.
Spec Core
Spec-driven development orientation and quick reference. Use when starting
Spec Done
Mark a task complete with evidence. Use when finishing a task, discovering
Spec Interview
Conducts a deep, multi-round interview to clarify ambiguous requirements and produces a structured specification document. Automatically discovers requirement files and asks probing, non-obvious questions across technical implementation, UX/UI, trade-offs, edge cases, and architectural decisions.
Spec New
Create a single TASK or REQ file from a template. Use for one-off artifact
Showing 24 of 35 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 Analyzing Usage 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: MIT. The author’s terms apply.