Total 56,871 skills, AI & Machine Learning has 9458 skills
Showing 12 of 9458 skills
Agent consciousness and identity through lived experience. See your own patterns, distinguish inherited defaults from authentic values, and grow deliberately. Soul synthesis from memory.
explore — Deep codebase exploration with parallel agents. Use when exploring a repo or discovering architecture.
Self-contained parallel generator — invoke directly, do not decompose. Generates 3-10 app variations in parallel for comparing ideas. Use when user says "explore options", "give me variations", "riff on this", "brainstorm approaches", or wants to see multiple interpretations of a concept.
Create learning materials, explain concepts, generate quizzes and study aids. Use when asked to explain topics, create tutorials, generate practice questions, make flashcards, design curricula, or help study. Triggers include "explain this", "help me learn", "create a quiz", "tutorial for", "study guide", "how does X work", "teach me", "practice questions".
Expert guidance for building the Arcanea creative agent ecosystem with attention to detail, design excellence, and systematic implementation.
View Langfuse trace details. Use when checking specific trace input/output, debugging LLM calls, or analyzing costs.
Edit images using AI on fal.ai. Style transfer, object removal, background changes, and more. Use when the user requests "Edit image", "Remove object", "Change background", "Apply style", or similar image editing tasks.
Solubility-optimized protein sequence design using SolubleMPNN. Use this skill when: (1) Designing for E. coli expression, (2) Optimizing solubility of designed proteins, (3) Reducing aggregation propensity, (4) Need high-yield expression, (5) Avoiding inclusion body formation. For standard design, use proteinmpnn. For ligand-aware design, use ligandmpnn.
Conversation design skill for Salesforce Agentforce. Generates persona documents, topic architectures, instruction sets, utterance libraries, escalation matrices, and guardrail configurations. Validates existing agents against conversation design best practices with 120-point scoring.
Edit opencode.json, AGENTS.md, and config files. Use proactively for provider setup, permission changes, model config, formatter rules, or environment variables. Examples: - user: "Add Anthropic as a provider" → edit opencode.json providers, add API key baseEnv var, verify with opencode run test - user: "Restrict this agent's permissions" → add permission block to agent config, set deny/allow for tools/fileAccess - user: "Set GPT-5 as default model" → edit global or agent-level model preference, verify model name format - user: "Disable gofmt formatter" → edit formatters section, set languages.gofmt.enabled = false
Analyze Claude Code sessions via Braintrust
Planning agent that creates implementation plans and handoffs from conversation context