aha
Aha! integration. Manage data, records, and automate workflows. Use when the user wants to interact with Aha! data.
58
67%
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/aha/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 benefits from naming the specific platform (Aha!) and including an explicit 'Use when' clause, but it is otherwise very generic. The actions described ('manage data, records, automate workflows') could apply to virtually any integration tool and fail to convey what Aha!-specific capabilities are available. Adding concrete Aha!-specific actions and more natural trigger terms would significantly improve skill selection accuracy.
Suggestions
Replace vague actions with Aha!-specific capabilities, e.g., 'Create and update features, manage roadmaps, track releases, and organize ideas in Aha!'
Expand trigger terms to include natural phrases users would say, such as 'roadmap', 'product management', 'features', 'releases', 'ideas', 'Aha! records'
Make the 'Use when' clause more specific, e.g., 'Use when the user mentions Aha!, product roadmaps, feature tracking, or wants to manage Aha! records and workflows'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description uses vague language like 'manage data, records, and automate workflows' without listing any concrete actions. It doesn't specify what kinds of data, records, or workflows are involved beyond the Aha! platform name. | 1 / 3 |
Completeness | It answers both 'what' (manage data, records, automate workflows in Aha!) and 'when' (Use when the user wants to interact with Aha! data) with an explicit trigger clause. | 3 / 3 |
Trigger Term Quality | It includes 'Aha!' as a key trigger term which is distinctive, and 'data' and 'workflows' are somewhat relevant. However, it misses natural terms users might say like 'features', 'roadmap', 'ideas', 'releases', 'product management', or 'Aha! API'. | 2 / 3 |
Distinctiveness Conflict Risk | 'Manage data, records, and automate workflows' is generic enough to overlap with many integration skills. The 'Aha!' brand name provides some distinctiveness, but the rest of the description could apply to dozens of other tools. | 2 / 3 |
Total | 8 / 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 — every step has concrete, executable CLI commands. The workflow for connection setup is well-structured with explicit state handling and error recovery paths. The main weaknesses are some unnecessary content (the Aha! concept overview list, the introductory description) and the lack of progressive disclosure for what is a moderately long document.
Suggestions
Remove the 'Aha! Overview' bullet list of concepts (Ideas, Features, Releases, etc.) — it provides no actionable guidance and wastes tokens.
Remove or drastically shorten the introductory paragraph explaining what Aha! is, since Claude already knows this and the skill description covers it.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary content like the overview bullet list of Aha! concepts (Ideas, Features, Releases, etc.) which adds no actionable value, and the introductory paragraph explaining what Aha! is. However, the CLI commands and workflow steps are reasonably efficient. | 2 / 3 |
Actionability | The skill provides fully executable CLI commands for every step: installation, authentication, connection setup, action discovery, action execution, and proxy requests. Commands are copy-paste ready with clear parameter placeholders. | 3 / 3 |
Workflow Clarity | The multi-step connection workflow is clearly sequenced with explicit state-based branching (READY, CLIENT_ACTION_REQUIRED, CONFIGURATION_ERROR), polling instructions with --wait flag, and clear guidance on what to do at each state. The headless authentication flow includes a feedback loop for code completion. | 3 / 3 |
Progressive Disclosure | The content is reasonably structured with clear sections, but it's somewhat monolithic for its length. The proxy request options table and detailed connection state handling could potentially be in separate reference files. However, with no bundle files provided, the single-file approach is acceptable though not optimal. | 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 | |
- Repository
- membranedev/application-skills
- Commit
f484c82
- Reviewed
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