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All Skills

Total 50,650 skills, AI & Machine Learning has 8490 skills

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Showing 12 of 8490 skills

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AI & Machine Learningeachlabs/skills

image-outpainting

Extend and expand images beyond their original boundaries using each::sense AI. Create panoramic views, convert aspect ratios, add backgrounds, and uncrop photos intelligently.

🇺🇸|EnglishTranslated
8
AI & Machine Learningwshobson/agents

review-agent-setup

Configure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates.

🇺🇸|EnglishTranslated
8
AI & Machine Learningmembranedev/application-s...

comet-ml

Comet ML integration. Manage data, records, and automate workflows. Use when the user wants to interact with Comet ML data.

🇺🇸|EnglishTranslated
8
AI & Machine Learningorq-ai/assistant-plugins

optimize-prompt

Analyze and optimize system prompts using a structured prompting guidelines framework — AI-powered analysis and rewriting. Use when a prompt needs improvement, experiment results show quality gaps, or you want a structured review of an existing system prompt. Do NOT use when production traces show failures (use analyze-trace-failures first to identify patterns). Do NOT use to build evaluators (use build-evaluator).

🇺🇸|EnglishTranslated
8
AI & Machine Learninglikefallwind/skills

ai-tutorials

This guide applies when designing, writing, or structuring AI courses, tutorials, lectures, and hands-on projects. It is also to be used when users request to create syllabi, write lecture notes, or design coding exercises related to AI/ML/LLM topics.

🇨🇳|ChineseTranslated
8
AI & Machine Learninggit-ai-project/git-ai

ask

Use this when you are exploring the codebase. It lets you ask the AI who wrote code questions about how things work and why they chose to build things the way they did. Think of it as asking the engineer who wrote the code for help understanding it.

🇺🇸|EnglishTranslated
8
AI & Machine Learningtddworks/asc-cli-skills

asc-skills

Manage Claude Code agent skills using the `asc` CLI tool. Use this skill when: (1) Listing available skills: "asc skills list", "what skills are available", "show me asc skills" (2) Installing skills: "asc skills install --name asc-cli", "install all skills", "add asc skills to my agent" (3) Viewing installed skills: "asc skills installed", "what skills do I have", "show my installed skills" (4) Removing a skill: "asc skills uninstall --name asc-auth", "remove a skill" (5) Checking for skill updates: "asc skills check", "are my skills up to date" (6) Updating skills: "asc skills update", "update my asc skills" (7) User asks "how do I install asc skills", "set up asc CLI skills", or "get the latest asc skills" (8) Troubleshooting skill installation or update issues (npx, skills CLI)

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8
AI & Machine Learningwxul/openrouter-generate-...

generate-image

Use when the user needs to generate images, UI assets, icons, backgrounds, placeholders, or any visual content. Triggers on requests like "generate an image", "create a picture", "make an icon", "I need a visual for...".

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8
1 scripts/Attention
AI & Machine Learningmindfold-ai/trellis

cc-codex-spec-bootstrap

Claude Code + Codex parallel pipeline for bootstrapping Trellis coding specs. CC analyzes the repo with GitNexus (knowledge graph) + ABCoder (AST), creates Trellis task PRDs with full architectural context and MCP tool instructions, then Codex agents run those tasks in parallel to fill spec files. Use when: bootstrapping coding guidelines, setting up Trellis specs, 'bootstrap specs for codex', 'create spec tasks', 'CC + Codex spec pipeline', 'initialize coding guidelines with code intelligence'. Also triggers when user wants to set up GitNexus or ABCoder MCP for multi-agent spec generation.

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8
AI & Machine Learningpskoett/pskoett-ai-skills

context-surfing

Monitors context window health throughout a session and rides peak context quality for maximum output fidelity. Activates automatically after plan-interview and intent-framed-agent. Stays active through execution and hands off cleanly to simplify-and-harden and self-improvement when the wave completes naturally or exits via handoff. Use this skill whenever a multi-step agent task is underway and session continuity or context drift is a concern. Especially important for long-running tasks, complex refactors, or any work where degraded context would silently corrupt the output. Trigger even if the user doesn't say "context surfing" — if an agent task is running across multiple steps with intent and a plan already established, this skill is live.

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8
1 scripts/Attention
AI & Machine Learningsickn33/antigravity-aweso...

skill-check

Validate Claude Code skills against the agentskills specification. Catches structural, semantic, and naming issues before users do.

🇺🇸|EnglishTranslated
8
AI & Machine Learningosovv/grace-marketplace

grace-multiagent-execute

Execute a GRACE development plan in controller-managed parallel waves with selectable safety profiles, batched graph sync, and scoped reviews.

🇺🇸|EnglishTranslated
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