Topic: agent-framework
177 skills in this topic.
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classify-temp-entries-to-section
Classification guidelines for entries in temp_entries.md. Each entry have its own title with the markdown file name and section name in temp_entries.md. USE FOR: Classifying new entries in temp_entries.md into *.md in the section files. DO NOT USE FOR: 1) Adding new entries to temp_entries.md; 2) Moving entries between sections.
kimtth/awesome-azure-openai-llm 398
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update-app-count
Workflow for updating the popular LLM applications pool (section/x_llm_apps.md) using get_app_list_by_github_star.py. Covers full refresh, alternate exports, topic tuning, and common pitfalls. USE FOR: Refreshing the ranked GitHub applications list linked from applications.md. DO NOT USE FOR: Hand-curating application entries inside applications.md or adding GitHub star badges to the generated file.
kimtth/awesome-azure-openai-llm 398
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update-cite-count
Guidelines for updating citation counts for papers in the section files using the `update_citation_counts.py` tool. USE FOR: Updating citation counts for papers listed in the section files to keep information current. DO NOT USE FOR: 1) Adding new papers to the section files; 2) Classifying entries into sections.
kimtth/awesome-azure-openai-llm 398
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update-llm-pool
Workflow for updating the LLM landscape paper pool (section/x_llm_papers.md) using fetch_llm_papers.py. Covers full re-fetch, resume from checkpoint, and adding new topics. USE FOR: Refreshing citation counts, expanding topic coverage. DO NOT USE FOR: Adding hand-curated entries to section files (use add-new-entry), updating RAG/Agent citation sections in best_practices.md (use update-cite-count).
kimtth/awesome-azure-openai-llm 398
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address-feedback
pydantic/pydantic-ai 16,282
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pre-push-review
Review the current branch against main, simulating the automated CI review from the bots workflow
pydantic/pydantic-ai 16,282
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evolve
Create, test, and improve functions at runtime — agents write their own code
iii-hq/agentos 113
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lifecycle
Session lifecycle management — transitions, state tracking, reactions
iii-hq/agentos 113
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memory
Persistent agent memory — store, recall, search across sessions
iii-hq/agentos 113
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orchestrate
Plan and execute multi-agent work — decompose features, spawn workers, monitor progress
iii-hq/agentos 113
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recover
Scan agent health and auto-recover stale or dead sessions
iii-hq/agentos 113
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security
Security scanning — injection detection, capability checks, audit trails
iii-hq/agentos 113
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status
System status and health checks — dashboard stats, agent health, worker status
iii-hq/agentos 113
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swarm
Multi-agent swarm coordination — create swarms, broadcast tasks, reach consensus
iii-hq/agentos 113
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tasks
Task decomposition — break features into subtasks, assign workers, track progress
iii-hq/agentos 113
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vault
Secret management — encrypted storage for API keys, tokens, credentials
iii-hq/agentos 113
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agenticx-a2a-connector
Guide for using the A2A (Agent-to-Agent) communication protocol in AgenticX including agent discovery, skill invocation, remote agent cards, and distributed agent systems. Use when the user wants agents to communicate with each other, set up distributed agent systems, invoke remote agent skills, or build agent-to-agent workflows.
DemonDamon/AgenticX 106
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agenticx-agent-builder
Guide for creating and configuring AgenticX agents with roles, goals, tools, LLM providers, and execution strategies. Use when the user wants to create agents, assign tools to agents, configure LLM backends, set up agent execution, or build multi-agent systems.
DemonDamon/AgenticX 106
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agenticx-automation-crontask
Build and maintain Machi Desktop scheduled (cron) tasks — default workspace ~/.agenticx/crontask, schedule_task tool, execution contract, and user-facing output. Use when the user wants recurring automation, crontab-style jobs, or to author/fix automation task prompts.
DemonDamon/AgenticX 106
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agenticx-deployer
Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup. Use when the user wants to deploy agents, containerize applications, set up Kubernetes, configure cloud deployment, or run the AgenticX API server in production.
DemonDamon/AgenticX 106
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agenticx-memory-architect
Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents. Use when the user wants to add memory to agents, persist conversation history, build memory-aware workflows, or integrate with Mem0 for long-term recall.
DemonDamon/AgenticX 106
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agenticx-quickstart
AgenticX zero-to-hero quickstart guide. Use when the user wants to get started with AgenticX, create their first project, build their first agent, or run their first workflow. Covers installation, project scaffolding, agent creation, task execution, and CLI basics.
DemonDamon/AgenticX 106
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agenticx-skill-manager
Guide for managing AgenticX skills including listing, searching, installing, uninstalling, publishing, and running a skill registry server. Use when the user wants to manage skills, find available skills, publish custom skills, set up a skill registry, or understand the skill ecosystem.
DemonDamon/AgenticX 106
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agenticx-tool-creator
Guide for creating custom tools in AgenticX including function decorator tools, MCP tool integration, tool registries, and remote tool access. Use when the user wants to create tools for agents, integrate external APIs as tools, build MCP servers, or extend agent capabilities with custom functions.
DemonDamon/AgenticX 106