processing-api-batches
Optimize bulk API requests with batching, throttling, and parallel execution. Use when processing bulk API operations efficiently. Trigger with phrases like "process bulk requests", "batch API calls", or "handle batch operations".
74
69%
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 ./plugins/api-development/api-batch-processor/skills/processing-api-batches/SKILL.mdQuality
Discovery
82%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 reasonably well-structured description that covers the what and when clearly, with explicit trigger phrases. Its main weaknesses are that the specific capabilities listed (batching, throttling, parallel execution) are somewhat abstract techniques rather than concrete actions, and there's moderate overlap risk with other API-related or batch-processing skills.
Suggestions
Add more concrete actions beyond technique names, e.g., 'Implements retry logic, manages rate limits, splits large datasets into optimal batch sizes' to improve specificity.
Differentiate more clearly from general API or rate-limiting skills by specifying the types of APIs or contexts (e.g., REST APIs, webhook delivery, data pipeline ingestion).
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (bulk API requests) and lists some actions (batching, throttling, parallel execution), but these are more like techniques than concrete actions. It doesn't specify what kinds of APIs, what outputs are produced, or detailed steps. | 2 / 3 |
Completeness | Clearly answers both 'what' (optimize bulk API requests with batching, throttling, and parallel execution) and 'when' (explicit 'Use when' clause and 'Trigger with phrases' providing concrete trigger guidance). | 3 / 3 |
Trigger Term Quality | Includes natural trigger phrases like 'process bulk requests', 'batch API calls', 'handle batch operations', plus keywords like 'batching', 'throttling', 'parallel execution'. These are terms users would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | The focus on bulk API batching and throttling is fairly specific, but could overlap with general API skills or rate-limiting skills. Terms like 'batch' and 'parallel execution' might trigger for non-API batch processing scenarios. | 2 / 3 |
Total | 10 / 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.
This skill provides a well-organized overview of batch API processing with good progressive disclosure to reference files and a useful error handling table. However, it lacks executable code examples for its core patterns (concurrency control, batch endpoint structure, progress tracking), which significantly limits actionability. The workflow would benefit from explicit validation checkpoints between steps, especially given the destructive/batch nature of the operations.
Suggestions
Add executable code snippets for at least the core patterns: a batch endpoint handler, concurrency-limited execution (e.g., using p-limit), and the progress tracking Redis pattern.
Insert explicit validation checkpoints in the workflow, e.g., 'Verify the batch endpoint handles a 5-item test batch correctly before implementing async processing' between steps 3 and 4.
Trim the Overview paragraph which largely duplicates what the Instructions section covers in more detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably structured but includes some unnecessary verbosity, particularly in the Overview section which restates what the instructions already cover. The Prerequisites section explains things Claude would know (e.g., what Bull/Celery are). Some tightening is possible throughout. | 2 / 3 |
Actionability | Instructions are specific about what to implement (batch endpoints, concurrency control, progress tracking) and mention concrete tools (p-limit, asyncio.Semaphore, Redis), but lack executable code examples. The guidance is descriptive rather than copy-paste ready—no actual code snippets for the core patterns like concurrency limiting or batch endpoint structure. | 2 / 3 |
Workflow Clarity | Steps are numbered and sequenced logically from identification through implementation to testing. However, there are no explicit validation checkpoints or feedback loops within the workflow—step 8 mentions validation but there's no 'verify before proceeding' pattern. For a skill involving database transactions and batch operations, the absence of explicit verification steps between implementation phases is a gap. | 2 / 3 |
Progressive Disclosure | Content is well-structured with clear sections (Overview, Prerequisites, Instructions, Output, Error Handling, Examples, Resources). References to external files (implementation.md, errors.md, examples.md) are one level deep and clearly signaled. The main file serves as an effective overview without being monolithic. | 3 / 3 |
Total | 9 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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