Install
npx skills add growthxai/output --skill output-credentials-init
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install outputai@outputai
This skill is part of the plugin “outputai”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the output-credentials-init skill do?
Description from the SKILL.md in the source repository.
Questions about output-credentials-init
What does the output-credentials-init skill do?
Initialize encrypted credentials for an Output.ai project. Use when setting up credentials for the first time, adding environment-specific credentials, or adding per-workflow credentials.
How do I install output-credentials-init?
In a terminal: npx skills add growthxai/output --skill output-credentials-init. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use output-credentials-init?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is output-credentials-init safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
More skills from growthxai/output
Systematically review workflow traces to identify failure modes before building evaluators. Use when starting an eval project, after significant pipeline changes, or when production quality drops.
Upgrade a project between versions of the Output framework. Use when the user asks to upgrade, migrate, or move to a newer Output version. Detects the current @outputai/* version in the project, fetches the matching migration guide from docs.output.ai, applies the changes, and verifies the project still type-checks.
Comprehensive guide to Output.ai Framework for building durable, LLM-powered workflows orchestrated by Temporal. Covers project structure, workflow patterns, steps, LLM integration, HTTP clients, CLI commands, and the full inventory of available agents and skills.
Pre-flight validation checks for Output SDK workflow operations. Ensures conventions are followed, requirements are gathered, and quality gates are passed before workflow execution.
Post-flight validation for Output SDK workflow operations. Systematic verification of step completion, convention compliance, quality validation, and deliverable verification.
Validate LLM judges against human labels using TPR/TNR metrics and train/dev/test splits. Use after writing a judge prompt to verify it agrees with human judgment.
Design effective LLM judge .prompt files for evaluators. Use when creating judgeVerdict/judgeScore/judgeLabel prompts, or when existing judges produce unreliable results.
Fix Zod schema import issues in Output SDK workflows. Use when seeing "incompatible schema" errors, type errors at step boundaries, schema validation failures, or when schemas don't match between steps.
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