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AgentCraft vs. the alternatives — when to use which.

AgentCraft vs. raw Hermes Agent (240+ skills)

AgentCraft Raw Hermes
Curation 20-40 O&G-relevant artifacts, vetted 240+ skills, mixed quality
Discovery Public site with search + filter hermes skills list in terminal
Trigger prompts 3 copy-paste sentences per artifact You write your own
Source attribution Every artifact links to its Drive canon PDF None
Maintenance CI runs every flow weekly Curator (idle skill detection)
Cost transparency Per-artifact cost estimate on the page You figure it out
Offline scripts First-class citizens (stdlib Python) Mixed
Private Public (read by anyone) Private to you

Use AgentCraft when: you want to find a specific O&G or API-auditing artifact fast, see a sample output, copy a trigger prompt, run it.

Use raw Hermes when: you're building a one-off skill for a personal workflow that doesn't need to be public.

AgentCraft vs. Claude Code plugin ecosystem

AgentCraft Claude Code plugin
Unit of value The trigger prompt (recipe) The install command (module)
Distribution GitHub repo + static site Plugin marketplace
Format SKILL.md + scripts + flows Plugin with slash commands, agents, hooks
Use case "I want to do X — show me how" "I want to extend Claude Code with capability Y"
Lock-in None — pure files, no plugin manager Plugin manager + marketplace
Versioning semver in the filename, CHANGELOG.md Marketplace versioning

Use AgentCraft when: you're a domain expert with a real workflow to share, and you want a low-overhead way to publish it.

Use Claude Code plugins when: you're building a complex multi-agent system with hooks, statuslines, and slash commands.

AgentCraft vs. n8n / Make.com / Zapier

AgentCraft n8n / Make / Zapier
Interface Trigger prompt (text) Visual workflow editor
Execution In your agent (LLM in the loop) Serverless functions
Best for Tasks that need LLM judgment + multi-step + multi-tool Tasks that are pure data plumbing, no judgment
Cost Per-token + per-API-call Per-operation (often flat fee)
Local Yes No (cloud)
Custom code Python scripts in canon/ Code nodes (sandboxed)
Debugging Read the agent's transcript Visual node inspector

Use AgentCraft when: the task needs the agent to interpret, decide, or write — e.g., "review this NCR against API Q1 11th ed." or "produce a 7-doc audit deliverable."

Use n8n when: the task is pure data plumbing — e.g., "when a new row hits Airtable, send a Slack message." No judgment, no LLM needed.

AgentCraft vs. Ahrefs / Semrush (for SEO audits)

Not comparable directly. AgentCraft is a library of artifacts, not a SaaS. But for the small overlap (the "build a website" flow includes SEO basics like meta tags, OG tags, sitemap, robots.txt), AgentCraft is free and the artifact is copy-paste, not a $99/mo subscription.

AgentCraft vs. a Notion / Confluence wiki

AgentCraft Wiki
Format Executable code + agent-loaded skills Static documents
Runnable Yes No
Trigger prompts Yes No
Version control git, semver, CHANGELOG Page history (no semver)
Search MkDocs Material search + Drive Notion / Confluence search
Update friction PR + CI Click "Edit"

Use AgentCraft when: the artifact is a procedure the agent can run.

Use a wiki when: the artifact is reference material the human reads (a glossary, a policy doc, a knowledge base).

The decision in one sentence

AgentCraft is for "I want to do this O&G or API-auditing task and I want a recipe I can run in 30 seconds" — not for "I want to extend my agent" (Claude Code plugin), "I want to plumb data between SaaS apps" (n8n/Make), or "I want to look something up" (wiki).