senior-computer-vision
Computer vision engineering workflow for dataset design, model selection (detection/segmentation/classification), evaluation, inference optimization, and…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
25,657 results
Computer vision engineering workflow for dataset design, model selection (detection/segmentation/classification), evaluation, inference optimization, and…
Orchestration of a structured dialogue between two LLMs (A and B) around the same topic, with intent framing, blind-spot generation, research…
Skill for protection against silent bypassing, false successes, and interpretive drift in agentic systems. It helps to formalize…
A2A agent card JSON templates with schema validation and examples for different agent types. Use when creating agent cards, implementing A2A protocol…
Memory layer integration patterns for FastAPI with Mem0 including client setup, memory service patterns, user tracking, conversation persistence, and…
Integrate LLM features safely with prompt governance, guardrails, observability, and cost controls in fullstack apps.
Manage object storage for uploads, media, and documents across S3, Azure Blob, or GCS with secure access patterns.
Use when working on Slack agent/bot code, Chat SDK applications, or projects using @chat-adapter/slack. Provides development patterns, testing requirements,…
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent…
Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
Use when facing 2+ independent tasks that can be handled without shared state or sequential dependencies
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Compile durable constraints into OpenViking Rules with rules/compile. Use when the user asks to add rules or import a policy. Do not use for preferences,…
Daily-updated collection of autonomous AI agent papers
Use when an agent task needs bounded context packets, checkpoint-aware compaction, a fresh-session primer, or policy-controlled child results without loading…
Use when one agent must iteratively plan, act, evaluate evidence, and revise under a readable policy until acceptance, checkpoint, stop, or human escalation.
Use when a goal needs multiple bounded agent roles, parallel or dependent task packets, explicit scope partitions, and a provider-neutral DAG. Not for…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
Use for game, NPC, interactive-story or training-simulation decisions from explicit world state and legal actions. Humans or a planner define objectives; a…
mcp-builder — an installable skill for AI agents, published by xenitv1/claude-code-maestro.
Design and maintain Claude Code subagents: the delegation decision, the frontmatter that governs a run, and the system prompt the agent wakes up with.
Propose the tasks on a repository that only a frontier-tier model can execute — the work the model one tier below or a routine engineer would fail at or do…
Delegate planning and execution workflows to gajae-code via the coordinator MCP server.