Agent-native sales prospecting
Install one skill in your AI agent, describe the companies and people you need, then inspect structured research before your team decides what to do next.
Copying places the command in your clipboard. Run it in a terminal to begin installation.
From request to evidence
OKKI Go keeps the brief, research logic, structured output, and review decision visible instead of hiding them behind a black-box sequence.
Start with the market, account attributes, buyer roles, exclusions, and evidence requirements. The agent can clarify ambiguous criteria before it spends time collecting results.
A useful result is more than a name. OKKI Go frames findings with source context, recency cues, unresolved fields, and the reason each item matches the original brief.
Research and outreach preparation can move quickly without pretending every next action should be autonomous. A visible review gate protects relevance, sender reputation, and regional obligations.
Reproducible tasks
These examples describe workflow patterns, not customer claims. Inputs, actions, and outputs remain adjustable to your data sources and operating rules.
npx -y @okki-global/okki-go-taroballBuilt around real operators
The research contract changes with the person reviewing the work. Scroll through the roles to see where OKKI Go fits without assuming a single universal outbound process.
Test whether a prospecting motion creates useful evidence before adding another seat-based system.
Reduce tab switching while preserving a checkpoint before contacts or messages move downstream.
Turn an early market thesis into a focused research sample and refine it from real fit signals.
Define field requirements, source precedence, and exception handling before CRM updates occur.
Inspect runtime permissions, rate limits, data handoffs, and failure states as part of the workflow.
Keep client criteria separated and document review decisions before any outreach preparation.
Installation is a sequence
Each state has a different success signal. A copied command is not an installed or configured skill.
Place the exact installer command in your clipboard. Success means only that the text was copied.
npx -y @okki-global/okki-go-taroballPaste the command into a terminal in the AI-agent environment you control. Read the package output and stop if the requested action is unexpected.
Success signal: the installer completes without an unresolved package or permission error.Add only the credentials and data connections needed for your workflow. Store API keys using your runtime's secret-management method, not in prompts or shared files.
Success signal: required connections respond within their documented scopes.Run a narrow sample brief, inspect provenance and unresolved fields, then approve or reject the result before scaling the task.
Success signal: a reviewer can explain why each retained item fits the brief.Trust through disclosure
Deployment details depend on the runtime and connections you choose. Verify package behavior and provider terms in your own environment before production use.
Source selection, field coverage, refresh cadence, and waterfall logic depend on configured providers. Keep provenance with each result.
Use scoped credentials and your runtime's secret store. Do not paste secrets into a prompt, output table, or shared repository.
Review the package actions, network access, update path, and requested permissions in the environment where you install it.
Retention follows your chosen runtime, providers, exports, and downstream systems. Document deletion responsibilities before handling production data.