iii-channels
Binary streaming between workers via channels. Use when building data pipelines, file transfers, streaming responses, or any pattern requiring binary data transfer between functions.
79
73%
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/iii-channels/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid description that clearly communicates both what the skill does and when to use it. The trigger terms are well-chosen and cover natural developer vocabulary. The main weakness is that the 'what' portion could be more specific about the concrete actions or operations the skill teaches, rather than just naming the high-level pattern.
Suggestions
Add more specific concrete actions to the capability description, e.g., 'Creates binary channels between worker functions, handles chunked transfers, manages backpressure and flow control.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (binary streaming between workers via channels) and some actions/patterns (data pipelines, file transfers, streaming responses), but doesn't list multiple concrete specific actions like 'create channels', 'chunk binary data', or 'connect producer/consumer workers'. | 2 / 3 |
Completeness | Clearly answers both 'what' (binary streaming between workers via channels) and 'when' with an explicit 'Use when...' clause listing specific trigger scenarios (data pipelines, file transfers, streaming responses, binary data transfer between functions). | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'binary', 'streaming', 'workers', 'channels', 'data pipelines', 'file transfers', 'streaming responses', 'binary data transfer'. Good coverage of terms a developer would naturally use. | 3 / 3 |
Distinctiveness Conflict Risk | The combination of 'binary streaming', 'workers', and 'channels' creates a clear niche that is unlikely to conflict with general file handling, generic streaming, or other data processing skills. The scope is well-defined. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is well-organized with good progressive disclosure and clear separation of concerns across sections and reference files. However, it lacks a complete inline executable example, relying entirely on external references for working code. There is notable redundancy between sections (Key Concepts, Primitives table, and Common Patterns overlap), and the workflow could benefit from explicit error handling and validation steps.
Suggestions
Include at least one complete, minimal inline example showing the full producer-consumer flow (create channel, pass ref, write, read) rather than only code fragments
Remove redundancy between Key Concepts, the Primitives table, and Common Patterns — consolidate into fewer sections where each piece of information appears once
Add explicit error handling and validation steps to the workflow (e.g., what happens if the channel connection fails, how to verify data was received completely)
Remove the generic 'When to Use' and 'Boundaries' boilerplate sections at the end — they add no actionable information beyond what 'Pattern Boundaries' already covers
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but has some redundancy — the 'Common Patterns' section largely repeats what's already in the primitives table and Key Concepts. The 'When to Use' and 'Boundaries' sections at the end are generic boilerplate that adds little value. The 'Adapting This Pattern' section repeats that channels work cross-language (already stated in Key Concepts). | 2 / 3 |
Actionability | Provides API signatures and common code snippets inline, but no complete executable example — all real code is deferred to external reference files. The 'Common Patterns' section shows fragments but not a complete, copy-paste-ready workflow. This is better than vague but falls short of fully executable guidance. | 2 / 3 |
Workflow Clarity | The Architecture section describes the flow conceptually (create channel → pass ref → stream data), and Common Patterns lists steps, but there's no explicit numbered sequence with validation checkpoints. For a pattern involving streaming binary data between workers, there's no error handling, no verification that the channel connected successfully, and no feedback loop for failures. | 2 / 3 |
Progressive Disclosure | Well-structured with clear sections (Key Concepts, Architecture, Primitives, Reference Implementation, Common Patterns, Adapting, Boundaries). External references to language-specific implementations are one level deep and clearly signaled. Content is appropriately split between overview and detailed reference files. | 3 / 3 |
Total | 9 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- iii-hq/iii
- Commit
8921efa
- 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.