Topic: ai-agents
18,135 skills in this topic.
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with-hooks
Use when testing valid hooks
agent-sh/agnix 169
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unknown-frontmatter-field
Use when validating frontmatter keys
agent-sh/agnix 169
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hooks-skill
Use when testing hooks validation
agent-sh/agnix 169
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agnix
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'. Validates agent configuration files against 385 rules across 10+ AI tools.
agent-sh/agnix 169
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with-argument-hint
Use when greeting users
agent-sh/agnix 169
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agnix
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'. Validates agent configuration files against 385 rules.
agent-sh/agnix 169
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code-review
Use when user asks to review code for quality and security issues.
agent-sh/agnix 169
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deep-reference
Use when validating deep references
agent-sh/agnix 169
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test-skill
Use when testing per-client skill rules
agent-sh/agnix 169
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deploy-prod
Deploys to production
agent-sh/agnix 169
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bad-invocable-skill
Use when testing boolean type validation
agent-sh/agnix 169
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indexed-arguments-no-hint
Use when validating indexed arguments
agent-sh/agnix 169
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context-without-agent-skill
Use when testing context without agent validation
agent-sh/agnix 169
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windows-path
Use when validating windows paths
agent-sh/agnix 169
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first-person-description
Use when you need pull-request review help
agent-sh/agnix 169
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hint-skill
Use when testing argument hints
agent-sh/agnix 169
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helper
Use when validating vague skill names
agent-sh/agnix 169
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unknown-tool-skill
Use when testing unknown tool validation
agent-sh/agnix 169
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test-skill
Use when testing per-client skill rules
agent-sh/agnix 169
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deploy-prod
Use when deploying to production environment
agent-sh/agnix 169
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bad-bool-skill
Use when testing boolean type validation
agent-sh/agnix 169
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swe-af
Autonomous engineering team runtime — one API call spins up coordinated AI agents to scope, build, and ship software.
Agent-Field/SWE-AF 697
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nanoresearch-experiment
Generate a Python code skeleton from an experiment blueprint
OpenRaiser/NanoResearch 689
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unsloth
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
OpenRaiser/NanoResearch 689