ai21-labs
AI21 Labs integration. Manage data, records, and automate workflows. Use when the user wants to interact with AI21 Labs data.
68
61%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/ai21-labs/SKILL.mdQuality
Discovery
57%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description follows the correct structural pattern with a 'Use when...' clause, and the vendor name 'AI21 Labs' provides some distinctiveness. However, the capabilities described are extremely generic ('manage data, records, and automate workflows') and could apply to almost any SaaS integration, making it nearly impossible for Claude to distinguish this skill's actual purpose from other integration skills.
Suggestions
Replace generic actions with AI21 Labs-specific capabilities, e.g., 'Generate text completions using Jurassic/Jamba models, manage fine-tuning jobs, and call AI21 Labs APIs'.
Add specific trigger terms users would naturally use, such as 'Jurassic', 'Jamba', 'AI21 API', 'text generation', 'language model', or 'AI21 completions'.
Make the 'Use when...' clause more specific, e.g., 'Use when the user mentions AI21 Labs, Jurassic models, Jamba, or wants to generate text via AI21 APIs'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The actions listed ('manage data, records, and automate workflows') are extremely vague and generic. There are no concrete, specific actions like 'create completions', 'fine-tune models', or 'call the Jurassic API'. These phrases could apply to virtually any integration. | 1 / 3 |
Completeness | It does answer both 'what' (manage data, records, automate workflows) and 'when' (Use when the user wants to interact with AI21 Labs data), with an explicit 'Use when...' clause. However, both parts are quite vague despite being structurally complete. | 3 / 3 |
Trigger Term Quality | It includes 'AI21 Labs' which is a relevant keyword a user might mention, but lacks specific product terms like 'Jurassic', 'Jamba', 'AI21 API', 'text generation', or 'language model' that users would naturally say when wanting to interact with AI21 Labs. | 2 / 3 |
Distinctiveness Conflict Risk | 'AI21 Labs' provides some distinctiveness as a named vendor, but 'manage data, records, and automate workflows' is so generic it could easily overlap with dozens of other integration skills. Only the vendor name prevents a score of 1. | 2 / 3 |
Total | 8 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a functional integration skill that provides concrete CLI commands for interacting with AI21 Labs via Membrane. Its main strengths are actionable, executable commands with clear parameter placeholders. Weaknesses include unnecessary introductory text that Claude already knows, a nearly empty overview section, and a workflow that could benefit from more explicit validation steps and error recovery paths.
Suggestions
Remove the introductory paragraph explaining what AI21 Labs is and the 'Official docs' link — Claude already knows this, and the skill is about using Membrane CLI, not the AI21 API directly.
Flesh out or remove the 'AI21 Labs Overview' section — a single bullet point about 'Completion' adds almost no value and wastes tokens.
Add explicit validation/error handling guidance for the connection step (e.g., how to verify a connection succeeded, what to do if it fails).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary explanatory text (e.g., 'AI21 Labs provides advanced language AI models. Developers and businesses use these models for text generation, summarization, and other natural language processing tasks.') that Claude already knows. The overview section with just one bullet point about 'Completion — Text generated by the LLM' adds little value. However, the CLI commands themselves are reasonably lean. | 2 / 3 |
Actionability | The skill provides concrete, copy-paste ready CLI commands for every step: installation, authentication, connecting, searching actions, creating actions, polling, and running actions with parameters. Each command includes specific flags and placeholders. | 3 / 3 |
Workflow Clarity | The workflow for creating and running actions is reasonably sequenced (create → poll → run), and the action creation section includes state checking with error states. However, the overall flow from installation through to running actions lacks explicit validation checkpoints and there's no clear error recovery guidance for failed connections or authentication issues. | 2 / 3 |
Progressive Disclosure | The content is structured with clear headers and sections, but everything is inline in a single file. For a skill of this length (~90 lines of content), the structure is adequate but the 'AI21 Labs Overview' section is nearly empty and the content could be better organized with the generic Membrane CLI instructions separated from AI21-specific guidance. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- membranedev/application-skills
- Commit
56d7336
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.