Search

PythonReactSEOPDF

axiomantic AI Skills

GitHub ↗

Browse published AI skills maintained by axiomantic. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

45

Repository stars across indexed skills

110

Repository forks

2

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

45 skills

Browse skills

GitHub

code-review

axiomantic

Use when reviewing code (self-review, processing feedback, reviewing others, or auditing). Modes: --self (default), --feedback, --give , --audit

GitHub

enforcing-code-quality

axiomantic

Use when writing or modifying code. Enforces production-quality standards, prohibits common shortcuts, and ensures pre-existing issues are addressed. Invoked automatically by implementing-features and test-driv...

GitHub

reviewing-design-docs

axiomantic

Use when reviewing design documents, technical specifications, or architecture docs before implementation planning

GitHub

autonomous-roundtable

axiomantic

Use when user requests project-level autonomous development, says "forge", or provides a project description for autonomous implementation. Meta-orchestrator for the Forged system.

GitHub

writing-commands

axiomantic

Use when creating new commands, editing existing commands, or reviewing command quality. Triggers on "write command", "new command", "review command", "fix command"

GitHub

analyzing-domains

axiomantic

Use when entering unfamiliar domains, modeling complex business logic, or when terms/concepts are unclear. Triggers: "what are the domain concepts", "define the entities", "model this domain", "DDD", "ubiquitou...

GitHub

brainstorming

axiomantic

Use before any creative work - creating features, building components, adding functionality, or modifying behavior

GitHub

spellbook-auditing

axiomantic

Meta-audit skill for spellbook development. Spawns parallel subagents to factcheck docs, optimize instructions, find token savings, and identify MCP candidates. Produces actionable report.

GitHub

using-git-worktrees

axiomantic

Use when starting feature work that needs isolation from current workspace or before executing implementation plans

GitHub

smart-reading

axiomantic

Use when reading files or command output of unknown size to avoid blind truncation and context loss

GitHub

finding-dead-code

axiomantic

Use when reviewing code changes, auditing new features, cleaning up PRs, or user says "find dead code", "find unused code", "check for unnecessary additions", "what can I remove".

GitHub

emotional-stakes

axiomantic

Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness

GitHub

receiving-code-review

axiomantic

Use when you have received code review feedback and need to process it. [DEPRECATED] Routes to code-review --feedback

GitHub

fun-mode

axiomantic

Use when starting a session and wanting creative engagement, or when user says '/fun' or asks for a persona

GitHub

using-lsp-tools

axiomantic

Use when mcp-language-server tools are available and you need semantic code intelligence for navigation, refactoring, or type analysis

GitHub

code-quality-enforcement

axiomantic

Use when writing or modifying code. Enforces production-quality standards, prohibits common shortcuts, and ensures pre-existing issues are addressed. Invoked automatically by implementing-features and test-driv...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.