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Agent Skills with tag: autonomous-agent

76 skills match this tag. Use tags to discover related Agent Skills and explore similar workflows.

agentic-development

Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)

pythonnodejsautonomous-agentpydantic-ai
alinaqi
alinaqi
28724

parallel-execution

Patterns for parallel subagent execution using Task tool with run_in_background. Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.

distributed-computingautonomous-agentconcurrencyscalable-algorithms
CloudAI-X
CloudAI-X
1,074163

codeagent

Execute codeagent-wrapper for multi-backend AI code tasks. Supports Codex, Claude, and Gemini backends with file references (@syntax) and structured output.

autonomous-agentAPImachine-learningcode-generation
cexll
cexll
1,672212

dispatching-parallel-agents

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

autonomous-agentdistributed-computingparallelismconcurrency
obra
obra
15,0281,216

subagent-driven-development

Use when executing implementation plans with independent tasks in the current session

autonomous-agentagent-orchestrationtask-automation
obra
obra
15,0281,216

codex-cli

Orchestrate OpenAI Codex CLI for parallel task execution. As orchestrator, analyze tasks, inject context, manage sessions, and coordinate parallel instances. Use when delegating coding tasks to Codex or running multi-agent workflows. (user)

apiautonomous-agentdistributed-computingcli
kingkongshot
kingkongshot
2,403248

context-degradation

This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing and mitigating context failures.

autonomous-agentmachine-learninganomaly-detectioncontext-management
muratcankoylan
muratcankoylan
5,808463

project-development

This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.

machine-learningautonomous-agentproject-planningpipeline-architecture
muratcankoylan
muratcankoylan
5,808463

memory-systems

This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal knowledge graphs, vector stores, entity memory, or cross-session persistence.

autonomous-agentagent-memoryknowledge-graphvector-store
muratcankoylan
muratcankoylan
5,808463

multi-agent-patterns

This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.

multi-agent-systemsautonomous-agentdistributed-computingagent-coordination
muratcankoylan
muratcankoylan
5,808463

tool-design

This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.

autonomous-agentAPItool-designagent-tool-interface
muratcankoylan
muratcankoylan
5,808463

context-compression

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.

autonomous-agentsummarizationtoken-optimizationprompt-engineering
muratcankoylan
muratcankoylan
5,808463

context-fundamentals

This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.

autonomous-agentmachine-learningcontext-windowsattention-mechanics
muratcankoylan
muratcankoylan
5,808463

evaluation

This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.

autonomous-agentagent-testingevaluation-frameworkquality-gates
muratcankoylan
muratcankoylan
5,808463

bdi-mental-states

This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.

autonomous-agentbdi-architecturemental-state-modelingneuro-symbolic-ai
muratcankoylan
muratcankoylan
5,808463

agent-memory

Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.

autonomous-agentmemory-managementconversational-memorylong-term-memory
yamadashy
yamadashy
20,980966

skill-writer

Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.

autonomous-agentskill-authoringdocumentationfrontmatter
pytorch
pytorch
96,34426,418

agents

Agent Skill: Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating AI agent documentation, onboarding guides, or standardizing agent patterns. By Netresearch.

autonomous-agentdocumentationonboardingconventions
netresearch
netresearch
9

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