Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Use when running Outlit CLI commands, setting up Outlit for AI agents, authenticating with Outlit, querying customer data from the terminal, or troubleshooti...
Use when running Outlit CLI commands, setting up Outlit for AI agents, authenticating with Outlit, querying customer data from the terminal, or troubleshooti...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Customer intelligence from the terminal. Install: npm i -g @outlit/cli All commands support --help for full option details.
CommandPurposeoutlit auth loginStore API key (interactive or --key for CI)outlit auth logoutRemove stored keyoutlit auth statusValidate current keyoutlit auth whoamiPrint masked key (for scripting)outlit auth signupOpen signup in browseroutlit customers listList/filter customers with risk signalsoutlit customers get <id|domain>Customer details with optional --include users,revenue,recentTimeline,behaviorMetricsoutlit customers timeline <id|domain>Activity timeline with channel/event filtersoutlit users listList/filter users across customersoutlit facts <customer>Signals and insights for a customeroutlit search '<query>'Natural language search across customer contextoutlit sql '<query>'SQL against analytics DB (or --query-file)outlit schema [table]Describe analytics tables and columnsoutlit setupAuto-detect and configure AI agentsoutlit setup <agent>Configure specific agent: cursor, claude-code, claude-desktop, vscode, gemini, openclawoutlit doctorDiagnose CLI version, auth, connectivity, agentsoutlit completions <shell>Generate shell completions (bash/zsh/fish)
API key format: ok_ + 32+ alphanumeric characters. Credential priority (first match wins): --api-key flag OUTLIT_API_KEY env var ~/.config/outlit/credentials.json (written by outlit auth login) Quick auth for CI/scripts: outlit auth login --key ok_your_key_here # or export OUTLIT_API_KEY=ok_your_key_here
Interactive terminal: Pretty tables with colors Piped stdout: Automatic JSON (no flag needed) --json flag: Force JSON in any context This means outlit customers list | jq '.items[].domain' just works.
Available in outlit sql and outlit schema: TableContainseventsAll tracked eventscustomer_dimensionsCustomer attributes and metricsuser_dimensionsUser attributes and journey stagesmrr_snapshotsRevenue over time Always run outlit schema first to discover columns before writing SQL.
Most list commands share these filters (check --help for specifics): --billing-status PAYING|TRIALING|CHURNED|NONE --no-activity-in 7d|14d|30d|90d / --has-activity-in --mrr-above <cents> / --mrr-below <cents> --search <term> --limit <1-100> / --cursor <token> for pagination --order-by <field> / --order-direction asc|desc
At-risk paying customers: outlit customers list --billing-status PAYING --no-activity-in 30d High-value customer details: outlit customers get acme.com --include users,revenue,behaviorMetrics Search for churn signals: outlit search 'complaints about pricing' --customer acme.com Revenue query: outlit sql 'SELECT customer_id, mrr_cents FROM mrr_snapshots ORDER BY mrr_cents DESC LIMIT 10' Setup all detected agents at once: outlit setup --yes
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.