Adalo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Adalo data.
61
72%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/adalo/SKILL.mdQuality
Discovery
67%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 correctly identifies the platform (Adalo) and includes an explicit 'Use when' clause, which is good. However, the capabilities listed are quite generic ('manage data, records, and automate workflows') and lack specific concrete actions. Trigger term coverage could be improved with more Adalo-specific terminology.
Suggestions
Add more specific concrete actions such as 'create, read, update, and delete records in Adalo collections' or 'query Adalo databases' instead of the vague 'manage data'.
Expand trigger terms to include variations like 'Adalo app', 'Adalo collections', 'Adalo database', 'Adalo API', or 'no-code platform' to improve matching.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Adalo) and some actions ('manage data, records, and automate workflows'), but these are fairly generic and not comprehensive — it doesn't list specific concrete actions like 'create records', 'update collections', 'delete entries', or 'trigger automations'. | 2 / 3 |
Completeness | It answers both 'what' (manage data, records, automate workflows) and 'when' ('Use when the user wants to interact with Adalo data'), providing an explicit trigger clause. | 3 / 3 |
Trigger Term Quality | Includes 'Adalo' as a key trigger term and mentions 'data', 'records', and 'workflows', but misses common variations users might say such as 'Adalo app', 'Adalo database', 'Adalo collections', 'Adalo API', or 'no-code app'. | 2 / 3 |
Distinctiveness Conflict Risk | 'Adalo' is a specific platform which helps distinctiveness, but 'manage data, records, and automate workflows' is generic enough to overlap with other integration or data management skills. The 'when' clause narrows it to Adalo data, which helps but the capability description could still conflict with generic workflow/data tools. | 2 / 3 |
Total | 9 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid integration skill with excellent actionability and workflow clarity — every step has concrete CLI commands and the connection state machine is well-documented with explicit feedback loops. The main weaknesses are unnecessary explanatory text (what Adalo is, why Membrane is good) that wastes tokens, and a slightly monolithic structure that could benefit from tighter organization.
Suggestions
Remove the opening paragraph explaining what Adalo is — Claude already knows this, and the skill description covers it.
Trim motivational/explanatory phrases like 'so you can focus on the integration logic rather than auth plumbing' and 'This will burn less tokens and make communication more secure' to save tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The opening paragraph explaining what Adalo is ('no-code platform that allows users to build native mobile and web apps...') is unnecessary context Claude already knows. The overview hierarchy and some sections are reasonably lean, but there's padding throughout (e.g., 'Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing'). | 2 / 3 |
Actionability | The skill provides concrete, copy-paste-ready CLI commands for every step: installation, authentication, connection setup, action search, action execution, and proxy requests. Input/output expectations are clearly specified with flags and parameters. | 3 / 3 |
Workflow Clarity | The connection workflow is clearly sequenced with explicit state checks (BUILDING → READY, CLIENT_ACTION_REQUIRED, etc.) and feedback loops (poll until ready, handle different states). The overall flow from install → authenticate → connect → discover actions → run actions is well-structured with validation checkpoints at each stage. | 3 / 3 |
Progressive Disclosure | The content is reasonably well-organized with clear sections, but it's somewhat monolithic for its length. The popular actions table, proxy request details, and best practices could potentially be split out. However, there are no bundle files and no references to external files, so everything must be inline. The structure is adequate but not optimally organized. | 2 / 3 |
Total | 10 / 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 | |
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