Hyper cli
Marketing skills for AI agents — paid ads, social media, SEO, competitor research, creative generation, email, analytics, and more. Powered by Hyper MCP.
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Use the Hyper CLI to run Hyper marketing skills from a terminal. Use when the user wants to use `hyperai`, inspect live tool schemas, translate MCP tool names from a skill into CLI commands, switch connected accounts, or run marketing tools outside an MCP-native agent host.
SKILL.md
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Hyper CLI
Use hyperai to run Hyper tools from a terminal. This skill is a bridge for using the marketing skills in this repo through the CLI.
Marketing skills usually name the MCP/raw tools, such as gmail_messages_send or meta_ads_ad_accounts_list. The CLI also exposes friendly aliases, such as gmail messages send or meta-ads ad-accounts list. Pick one surface per call.
Requirements
- Hyper MCP configured for the workspace. https://app.hyperfx.ai/mcp
- Required integrations connected at https://app.hyperfx.ai/apps. Use the sibling marketing skill to know which integrations are required.
- Hyper CLI installed and authenticated. Verify with
hyperai info.
If hyperai info fails, stop and tell the user to authenticate the CLI before calling tools.
Tool surface
| Need | Command |
|---|---|
| Confirm auth/workspace | hyperai info |
| Find tools by intent or raw MCP name | hyperai search "<intent or raw tool name>" --json --signature |
| Browse friendly aliases in a namespace | hyperai describe <namespace> |
| Inspect a friendly alias schema | hyperai describe <alias path> --parameters |
| Call a friendly alias | hyperai call <alias path> --json '{...}' |
| Inspect a raw toolkit tool | hyperai tools describe <toolkit> <tool_name> --parameters |
| Call a raw toolkit tool | hyperai tools call <toolkit> <tool_name> --json '{...}' |
| List connected accounts | hyperai tools list --connected or hyperai connections list |
| Switch active account | hyperai connections use <toolkit> <auth-id> |
Critical rule: aliases vs raw tools
Friendly alias path:
hyperai describe gmail messages send --parameters
hyperai call gmail messages send --json '{"to":"[email protected]","subject":"Hello","body":"Hi"}'
Raw toolkit path:
hyperai tools describe gmail gmail_messages_send --parameters
hyperai tools call gmail gmail_messages_send --json '{"to":"[email protected]","subject":"Hello","body":"Hi"}'
If a marketing skill says gmail_messages_send, that is a raw MCP/toolkit name. Either translate it with search:
hyperai search "gmail_messages_send" --json --signature
or call it through the raw toolkit surface:
hyperai tools call gmail gmail_messages_send --json '{...}'
Never assume hyperai call gmail_messages_send will work.
Describe progression
Use describe progressively. Start broad, then narrow to the exact alias before calling:
hyperai describe gmail
hyperai describe gmail messages send --parameters
hyperai call gmail messages send --to [email protected] --subject "Hello" --body "Hi"
For friendly aliases, use hyperai describe <namespace> and hyperai describe <alias path> --parameters. Do not use hyperai tools describe gmail for namespace browsing; tools describe is the raw toolkit form and needs both toolkit and raw tool name.
Structured arguments
Flags are safest for simple scalar fields:
hyperai call gmail messages send --to [email protected] --subject "cli test" --body "this is a test"
Use --json for arrays, objects, nested schemas, and model-specific tools. Do not pass arrays or objects as string flags unless the live schema explicitly says the field is a string.
hyperai describe images generate nano-banana --parameters
hyperai call images generate nano-banana \
--json '{"requests":[{"prompt":"a cat wearing a propeller hat"}],"model":"pro"}'
If validation says an object field was received as a string, retry with --json after re-reading describe --parameters.
Workflow
- Read the relevant marketing skill first, for example
meta-ads,cold-email-outreach,email-lifecycle, oranalytics-insights. - Use that skill for strategy, sequencing, safety rules, and required integrations.
- For each tool named in the skill, resolve the live CLI command:
- Try
hyperai search "<tool name or intent>" --json --signature. - Prefer the returned
call_commandwhen available. - If no good alias exists, use
hyperai tools describe <toolkit> <tool_name>.
- Try
- Before calling, inspect the live schema:
- Friendly alias:
hyperai describe <alias path> --parameters. - Raw toolkit:
hyperai tools describe <toolkit> <tool_name> --parameters.
- Friendly alias:
- Call with
--jsonfor structured inputs. - If validation fails, re-run the relevant
describe --parameterscommand before retrying.
Connected accounts
List available connected accounts:
hyperai tools list --connected
hyperai connections list
hyperai connections list gmail
Set the active connection for future CLI calls:
hyperai connections use gmail <auth-id>
hyperai connections use meta_business <auth-id>
Use --auth-id <auth-id> only for a one-off override.
Examples
Marketing skill names raw Gmail tool:
gmail_messages_list
Resolve and call friendly alias:
hyperai search "gmail_messages_list" --json --signature
hyperai describe gmail messages list --parameters
hyperai call gmail messages list --json '{"max_results":10}'
Marketing skill names raw Meta tool:
meta_business_list_ad_accounts
Resolve and call friendly alias:
hyperai search "meta_business_list_ad_accounts" --json --signature
hyperai describe meta-ads ad-accounts list --parameters
hyperai call meta-ads ad-accounts list --json '{"detail":"id_only"}'
Raw fallback:
hyperai tools describe meta_business meta_business_list_ad_accounts --parameters
hyperai tools call meta_business meta_business_list_ad_accounts --json '{"detail":"id_only"}'
Image generation:
# Default image generation alias accepts the prompt positionally.
hyperai call images generate "a cat wearing a propeller hat" --quality draft --output json
# Model-specific image tools often need JSON because their schema is nested.
hyperai describe images generate nano-banana --parameters
hyperai call images generate nano-banana \
--json '{"requests":[{"prompt":"a cat wearing a propeller hat"}],"model":"pro"}' \
--output json
Meta ads performance:
hyperai search "meta ads insights" --json --signature
hyperai call meta-ads ad-accounts list --output json
hyperai describe meta-ads insights get --parameters
hyperai call meta-ads insights get --json '{"object_id":"act_<ad_account_id>","object_type":"account","date_range":"last_month"}'
Always list ad accounts first when the user asks for account-level performance and did not provide an act_... account id.
Rules
- The live CLI schema wins over examples in any skill.
- Marketing skills provide workflow judgment;
hyperai describeprovides executable arguments. - Prefer friendly aliases for normal use because they are easier for agents and humans.
- Use raw
hyperai tools ...when a skill gives an exact MCP tool name and no alias is obvious. - Do not invent toolkit IDs, tool names, or parameter names.