agenticflow-agent
AgenticFlow Agent
A single AI agent with a system prompt, model, optional MCP tool attachments, and an optional code-execution sandbox. Use this when one chat surface + one set of rules is enough.
When NOT to use this skill
If the user needs multiple agents that hand off to each other (research → write, triage → specialist, a pre-built team template), use agenticflow-workforce instead. Don't over-engineer — a support bot with "if billing/refunds/privacy, escalate to email" is one agent, not three.
Orient first
af bootstrap --json
From the response, extract:
auth.project_id— required on agent create (server does not auto-inject for agents, unlike workforces)auth.workspace_id_links.workspace— surface this URL to the user right away: "Your AgenticFlow workspace is at<_links.workspace>— open it anytime to see what I'm building." Anchors a human-first mental model before any mutation
More from antongulin/agenticflow-ai-skills
agenticflow-mcp
Attach external tool providers (Google Docs, Google Sheets, Slack, Notion, GitHub, Apify, etc.) to an AgenticFlow agent via MCP clients. Use when the user wants their agent to read or write external data, call third-party APIs, save outputs to a doc/sheet, or use any tool beyond the model's built-in knowledge. Covers `af mcp-clients list --name-contains`, `af mcp-clients inspect --id` (classify pattern before attach), and the Pipedream vs Composio write-capability distinction — critical for parametric writes. Route traffic through the `af` CLI; the standalone `agenticflow-mcp` server repo lags the CLI and is not recommended.
5agenticflow-workforce
Deploy and operate a multi-agent AgenticFlow workforce — a DAG of agents that hand off to each other (trigger → coordinator → worker agents → output). Use when the user asks for a team, pipeline, or multi-agent system: research-then-write, triage-then-specialist, dev shop, marketing agency, sales team, content studio, support center, Amazon seller team. Choose this skill over agenticflow-agent when the ask mentions 'team', 'workforce', 'pipeline', 'multiple agents', 'delegation', 'handoff', or names a built-in blueprint. Provides the `af workforce *` command surface, blueprint decisions, graph wiring, MCP attach recipes, and public URL publishing.
5agenticflow-llm-models
Select and configure LLM models for AgenticFlow agents and workforces. Use this skill whenever the user asks which model to use, needs reasoning capabilities, wants fast/cheaper options, gets finish_reason=length errors, or asks about model speed/quality/intelligence trade-offs. Covers the top recommended models, upstream canonical models, models to avoid, reasoning configuration, and max_tokens settings.
5agenticflow-built-in-credits
Use AgenticFlow's built-in features and account credits first — before adding external API keys (BYOK). Use this skill whenever the user asks about image generation without API keys, wants to use their existing credits, asks about built-in vs BYOK, or mentions agenticflow_generate_image, web_search, web_retrieval, or credit-efficient workflows. BYOK is only for extension when unsatisfied or explicitly requested.
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